ºÝºÝߣshows by User: amjedbj / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: amjedbj / Wed, 23 Mar 2016 11:07:18 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: amjedbj Quels facteurs de pertinence pour la recherche de produits e-commerce ? https://fr.slideshare.net/slideshow/quels-facteurs-de-pertinence-pour-la-recherche-de-produits-ecommerce/59928766 coria2016-v6-160323110718
Laure Soulier, Lamjed Ben Jabeur, Paul Mousset, Lynda Tamine. Quels facteurs de pertinence pour la recherche de produits e-commerce ?. Dans : Conf¨¦rence francophone en Recherche d'Information et Applications (CORIA 2016), Toulouse, 09/03/2016-11/03/2016, Association Francophone de Recherche d'Information et Applications (ARIA), p. 415-430, mars 2016. https://www.irit.fr/publis/SIG/2016_CORIA_SOULIER.pdf Un moteur de recherche e-commerce vise ¨¤ fournir un acc¨¨s rapide et efficace ¨¤ des produits qui correspondent aux besoins et aux pr¨¦f¨¦rences de l'utilisateur parmi une liste de produits similaires ou ¨¦troitement li¨¦s. Nous avons particip¨¦ ¨¤ la campagne d'¨¦valuation ? Living Lab for Information Retrieval ? qui proposait une t?che de recherche de produits ¨¦valu¨¦e par des utilisateurs r¨¦els lors de sc¨¦narios de recherche r¨¦elle sur un site de e-commerce. L¡¯¨¦valuation exp¨¦rimentale a montr¨¦ des r¨¦sultats prometteurs de notre mod¨¨le. Dans ce papier, nous proposons une analyse des fichiers logs issus de notre mod¨¨le afin d'identifier des facteurs d¡¯efficacit¨¦ li¨¦s ¨¤ la requ¨ºte et aux produits. L'objectif de cette ¨¦tude est d'ouvrir des pistes de recherche pour la formalisation de mod¨¨les de recherche de produits. E-commerce product retrieval aims to provide a quick and efficient access to products that fit user¡¯s needs and preferences among a tail of similar or closely related products. We participated to the ``Living Lab for Information Retrieval'' evaluation campaign devoted to a product search task in which real users evaluated participants' retrieval models in real search scenarios on e-commerce websites. The experimental evaluation has shown encouraging results for our proposed model. In this paper, we conduct an analysis of users' feeadback with respect to the clicks obtained by our model. The goal of the paper is therefore to identify the effectiveness factors underlying the user's queries and the retrieved products in order to open perspectives in the formalization of product search models.]]>
Laure Soulier, Lamjed Ben Jabeur, Paul Mousset, Lynda Tamine. Quels facteurs de pertinence pour la recherche de produits e-commerce ?. Dans : Conf¨¦rence francophone en Recherche d'Information et Applications (CORIA 2016), Toulouse, 09/03/2016-11/03/2016, Association Francophone de Recherche d'Information et Applications (ARIA), p. 415-430, mars 2016. https://www.irit.fr/publis/SIG/2016_CORIA_SOULIER.pdf Un moteur de recherche e-commerce vise ¨¤ fournir un acc¨¨s rapide et efficace ¨¤ des produits qui correspondent aux besoins et aux pr¨¦f¨¦rences de l'utilisateur parmi une liste de produits similaires ou ¨¦troitement li¨¦s. Nous avons particip¨¦ ¨¤ la campagne d'¨¦valuation ? Living Lab for Information Retrieval ? qui proposait une t?che de recherche de produits ¨¦valu¨¦e par des utilisateurs r¨¦els lors de sc¨¦narios de recherche r¨¦elle sur un site de e-commerce. L¡¯¨¦valuation exp¨¦rimentale a montr¨¦ des r¨¦sultats prometteurs de notre mod¨¨le. Dans ce papier, nous proposons une analyse des fichiers logs issus de notre mod¨¨le afin d'identifier des facteurs d¡¯efficacit¨¦ li¨¦s ¨¤ la requ¨ºte et aux produits. L'objectif de cette ¨¦tude est d'ouvrir des pistes de recherche pour la formalisation de mod¨¨les de recherche de produits. E-commerce product retrieval aims to provide a quick and efficient access to products that fit user¡¯s needs and preferences among a tail of similar or closely related products. We participated to the ``Living Lab for Information Retrieval'' evaluation campaign devoted to a product search task in which real users evaluated participants' retrieval models in real search scenarios on e-commerce websites. The experimental evaluation has shown encouraging results for our proposed model. In this paper, we conduct an analysis of users' feeadback with respect to the clicks obtained by our model. The goal of the paper is therefore to identify the effectiveness factors underlying the user's queries and the retrieved products in order to open perspectives in the formalization of product search models.]]> Wed, 23 Mar 2016 11:07:18 GMT https://fr.slideshare.net/slideshow/quels-facteurs-de-pertinence-pour-la-recherche-de-produits-ecommerce/59928766 amjedbj@slideshare.net(amjedbj) Quels facteurs de pertinence pour la recherche de produits e-commerce ? amjedbj Laure Soulier, Lamjed Ben Jabeur, Paul Mousset, Lynda Tamine. Quels facteurs de pertinence pour la recherche de produits e-commerce ?. Dans : Conf¨¦rence francophone en Recherche d'Information et Applications (CORIA 2016), Toulouse, 09/03/2016-11/03/2016, Association Francophone de Recherche d'Information et Applications (ARIA), p. 415-430, mars 2016. https://www.irit.fr/publis/SIG/2016_CORIA_SOULIER.pdf Un moteur de recherche e-commerce vise ¨¤ fournir un acc¨¨s rapide et efficace ¨¤ des produits qui correspondent aux besoins et aux pr¨¦f¨¦rences de l'utilisateur parmi une liste de produits similaires ou ¨¦troitement li¨¦s. Nous avons particip¨¦ ¨¤ la campagne d'¨¦valuation ? Living Lab for Information Retrieval ? qui proposait une t?che de recherche de produits ¨¦valu¨¦e par des utilisateurs r¨¦els lors de sc¨¦narios de recherche r¨¦elle sur un site de e-commerce. L¡¯¨¦valuation exp¨¦rimentale a montr¨¦ des r¨¦sultats prometteurs de notre mod¨¨le. Dans ce papier, nous proposons une analyse des fichiers logs issus de notre mod¨¨le afin d'identifier des facteurs d¡¯efficacit¨¦ li¨¦s ¨¤ la requ¨ºte et aux produits. L'objectif de cette ¨¦tude est d'ouvrir des pistes de recherche pour la formalisation de mod¨¨les de recherche de produits. E-commerce product retrieval aims to provide a quick and efficient access to products that fit user¡¯s needs and preferences among a tail of similar or closely related products. We participated to the ``Living Lab for Information Retrieval'' evaluation campaign devoted to a product search task in which real users evaluated participants' retrieval models in real search scenarios on e-commerce websites. The experimental evaluation has shown encouraging results for our proposed model. In this paper, we conduct an analysis of users' feeadback with respect to the clicks obtained by our model. The goal of the paper is therefore to identify the effectiveness factors underlying the user's queries and the retrieved products in order to open perspectives in the formalization of product search models. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/coria2016-v6-160323110718-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Laure Soulier, Lamjed Ben Jabeur, Paul Mousset, Lynda Tamine. Quels facteurs de pertinence pour la recherche de produits e-commerce ?. Dans : Conf¨¦rence francophone en Recherche d&#39;Information et Applications (CORIA 2016), Toulouse, 09/03/2016-11/03/2016, Association Francophone de Recherche d&#39;Information et Applications (ARIA), p. 415-430, mars 2016. https://www.irit.fr/publis/SIG/2016_CORIA_SOULIER.pdf Un moteur de recherche e-commerce vise ¨¤ fournir un acc¨¨s rapide et efficace ¨¤ des produits qui correspondent aux besoins et aux pr¨¦f¨¦rences de l&#39;utilisateur parmi une liste de produits similaires ou ¨¦troitement li¨¦s. Nous avons particip¨¦ ¨¤ la campagne d&#39;¨¦valuation ? Living Lab for Information Retrieval ? qui proposait une t?che de recherche de produits ¨¦valu¨¦e par des utilisateurs r¨¦els lors de sc¨¦narios de recherche r¨¦elle sur un site de e-commerce. L¡¯¨¦valuation exp¨¦rimentale a montr¨¦ des r¨¦sultats prometteurs de notre mod¨¨le. Dans ce papier, nous proposons une analyse des fichiers logs issus de notre mod¨¨le afin d&#39;identifier des facteurs d¡¯efficacit¨¦ li¨¦s ¨¤ la requ¨ºte et aux produits. L&#39;objectif de cette ¨¦tude est d&#39;ouvrir des pistes de recherche pour la formalisation de mod¨¨les de recherche de produits. E-commerce product retrieval aims to provide a quick and efficient access to products that fit user¡¯s needs and preferences among a tail of similar or closely related products. We participated to the ``Living Lab for Information Retrieval&#39;&#39; evaluation campaign devoted to a product search task in which real users evaluated participants&#39; retrieval models in real search scenarios on e-commerce websites. The experimental evaluation has shown encouraging results for our proposed model. In this paper, we conduct an analysis of users&#39; feeadback with respect to the clicks obtained by our model. The goal of the paper is therefore to identify the effectiveness factors underlying the user&#39;s queries and the retrieved products in order to open perspectives in the formalization of product search models.
from Lamjed Ben Jabeur
]]> 474 8 https://cdn.slidesharecdn.com/ss_thumbnails/coria2016-v6-160323110718-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Acc¨¨s ¨¤ l¡¯information dans les r¨¦seaux sociaux : quelles formes de collaboration ? https://fr.slideshare.net/slideshow/accs-linformation-dans-les-rseaux-sociaux-quelles-formes-de-collaboration/54088013 marami2015-151018191005-lva1-app6892
Nous pr¨¦sentons dans cet article une analyse exploratoire dans l¡¯objectif d¡¯identifier les patrons de collaboration au sein des r¨¦seaux sociaux pour l¡¯acc¨¨s ¨¤ l¡¯information. Nous nous focalisons sur le cas de la gestion de crise au travers de la plateforme sociale Twitter. Nous nous appuyons ainsi sur deux types de crises : une catastrophe naturelle (l¡¯ouragan Sandy) et une crise sanitaire (Ebola). Nous proposons une m¨¦thodologie en trois ¨¦tapes qui permet 1) d¡¯analyser les structures de collaboration, 2) d¡¯identifier les th¨¦matiques de collaboration et 3) de pr¨¦senter les r¨¦seaux latents de collaboration sur l¡¯ensemble du r¨¦seau. Les r¨¦sultats montrent paradoxalement que le p¨¦rim¨¨tre de la collaboration est r¨¦duit, que les sujets sousjacents sont diversifi¨¦s et impliquent des utilisateurs qui peuvent ¨ºtre ¨¤ l¡¯interface de diff¨¦rents sujets.]]>
Nous pr¨¦sentons dans cet article une analyse exploratoire dans l¡¯objectif d¡¯identifier les patrons de collaboration au sein des r¨¦seaux sociaux pour l¡¯acc¨¨s ¨¤ l¡¯information. Nous nous focalisons sur le cas de la gestion de crise au travers de la plateforme sociale Twitter. Nous nous appuyons ainsi sur deux types de crises : une catastrophe naturelle (l¡¯ouragan Sandy) et une crise sanitaire (Ebola). Nous proposons une m¨¦thodologie en trois ¨¦tapes qui permet 1) d¡¯analyser les structures de collaboration, 2) d¡¯identifier les th¨¦matiques de collaboration et 3) de pr¨¦senter les r¨¦seaux latents de collaboration sur l¡¯ensemble du r¨¦seau. Les r¨¦sultats montrent paradoxalement que le p¨¦rim¨¨tre de la collaboration est r¨¦duit, que les sujets sousjacents sont diversifi¨¦s et impliquent des utilisateurs qui peuvent ¨ºtre ¨¤ l¡¯interface de diff¨¦rents sujets.]]> Sun, 18 Oct 2015 19:10:04 GMT https://fr.slideshare.net/slideshow/accs-linformation-dans-les-rseaux-sociaux-quelles-formes-de-collaboration/54088013 amjedbj@slideshare.net(amjedbj) Acc¨¨s ¨¤ l¡¯information dans les r¨¦seaux sociaux : quelles formes de collaboration ? amjedbj Nous pr¨¦sentons dans cet article une analyse exploratoire dans l¡¯objectif d¡¯identifier les patrons de collaboration au sein des r¨¦seaux sociaux pour l¡¯acc¨¨s ¨¤ l¡¯information. Nous nous focalisons sur le cas de la gestion de crise au travers de la plateforme sociale Twitter. Nous nous appuyons ainsi sur deux types de crises : une catastrophe naturelle (l¡¯ouragan Sandy) et une crise sanitaire (Ebola). Nous proposons une m¨¦thodologie en trois ¨¦tapes qui permet 1) d¡¯analyser les structures de collaboration, 2) d¡¯identifier les th¨¦matiques de collaboration et 3) de pr¨¦senter les r¨¦seaux latents de collaboration sur l¡¯ensemble du r¨¦seau. Les r¨¦sultats montrent paradoxalement que le p¨¦rim¨¨tre de la collaboration est r¨¦duit, que les sujets sousjacents sont diversifi¨¦s et impliquent des utilisateurs qui peuvent ¨ºtre ¨¤ l¡¯interface de diff¨¦rents sujets. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/marami2015-151018191005-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Nous pr¨¦sentons dans cet article une analyse exploratoire dans l¡¯objectif d¡¯identifier les patrons de collaboration au sein des r¨¦seaux sociaux pour l¡¯acc¨¨s ¨¤ l¡¯information. Nous nous focalisons sur le cas de la gestion de crise au travers de la plateforme sociale Twitter. Nous nous appuyons ainsi sur deux types de crises : une catastrophe naturelle (l¡¯ouragan Sandy) et une crise sanitaire (Ebola). Nous proposons une m¨¦thodologie en trois ¨¦tapes qui permet 1) d¡¯analyser les structures de collaboration, 2) d¡¯identifier les th¨¦matiques de collaboration et 3) de pr¨¦senter les r¨¦seaux latents de collaboration sur l¡¯ensemble du r¨¦seau. Les r¨¦sultats montrent paradoxalement que le p¨¦rim¨¨tre de la collaboration est r¨¦duit, que les sujets sousjacents sont diversifi¨¦s et impliquent des utilisateurs qui peuvent ¨ºtre ¨¤ l¡¯interface de diff¨¦rents sujets.
from Lamjed Ben Jabeur
]]> 848 13 https://cdn.slidesharecdn.com/ss_thumbnails/marami2015-151018191005-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 IRIT at clef 2015: A product search model for head queries /amjedbj/irit-at-clef-2015-a-product-search-model-for-head-queries iritatclef2015-150912112517-lva1-app6892
We describe in this paper our participation in the product search task of LL4IR CLEF 2015 Lab. This task aims to evaluate, with living labs protective point of view, the retrieval effectiveness over e-commerce search engines. During the online shopping process, users would search for interesting products and quickly access those that fit with their needs among a long tail of similar or closely related products. Our contribution addresses head queries that are frequently submitted on e-commerce Web sites. Head queries usually target featured products with several variations, accessories, and complementary products. We propose a probabilistic model for product search based on the intuition that descriptive fields and the category might fit with the query. Finaly, we present results obtained during the second round of the product search task.]]>
We describe in this paper our participation in the product search task of LL4IR CLEF 2015 Lab. This task aims to evaluate, with living labs protective point of view, the retrieval effectiveness over e-commerce search engines. During the online shopping process, users would search for interesting products and quickly access those that fit with their needs among a long tail of similar or closely related products. Our contribution addresses head queries that are frequently submitted on e-commerce Web sites. Head queries usually target featured products with several variations, accessories, and complementary products. We propose a probabilistic model for product search based on the intuition that descriptive fields and the category might fit with the query. Finaly, we present results obtained during the second round of the product search task.]]> Sat, 12 Sep 2015 11:25:17 GMT /amjedbj/irit-at-clef-2015-a-product-search-model-for-head-queries amjedbj@slideshare.net(amjedbj) IRIT at clef 2015: A product search model for head queries amjedbj We describe in this paper our participation in the product search task of LL4IR CLEF 2015 Lab. This task aims to evaluate, with living labs protective point of view, the retrieval effectiveness over e-commerce search engines. During the online shopping process, users would search for interesting products and quickly access those that fit with their needs among a long tail of similar or closely related products. Our contribution addresses head queries that are frequently submitted on e-commerce Web sites. Head queries usually target featured products with several variations, accessories, and complementary products. We propose a probabilistic model for product search based on the intuition that descriptive fields and the category might fit with the query. Finaly, we present results obtained during the second round of the product search task. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/iritatclef2015-150912112517-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> We describe in this paper our participation in the product search task of LL4IR CLEF 2015 Lab. This task aims to evaluate, with living labs protective point of view, the retrieval effectiveness over e-commerce search engines. During the online shopping process, users would search for interesting products and quickly access those that fit with their needs among a long tail of similar or closely related products. Our contribution addresses head queries that are frequently submitted on e-commerce Web sites. Head queries usually target featured products with several variations, accessories, and complementary products. We propose a probabilistic model for product search based on the intuition that descriptive fields and the category might fit with the query. Finaly, we present results obtained during the second round of the product search task.
IRIT at clef 2015: A product search model for head queries from Lamjed Ben Jabeur
]]> 553 9 https://cdn.slidesharecdn.com/ss_thumbnails/iritatclef2015-150912112517-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Challenges of managing Data Science Project /slideshow/data-science-project/46615316 datascienceproject-150403100026-conversion-gate01
Some challenges to know about a Data Science project]]>
Some challenges to know about a Data Science project]]> Fri, 03 Apr 2015 10:00:26 GMT /slideshow/data-science-project/46615316 amjedbj@slideshare.net(amjedbj) Challenges of managing Data Science Project amjedbj Some challenges to know about a Data Science project <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/datascienceproject-150403100026-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Some challenges to know about a Data Science project
Challenges of managing Data Science Project from Lamjed Ben Jabeur
]]> 799 2 https://cdn.slidesharecdn.com/ss_thumbnails/datascienceproject-150403100026-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Leveraging social relevance: Using social networks to enhance literature access and microblog searchr thesis https://fr.slideshare.net/slideshow/lamjedben-jabeur-thesis/29133582 lamjed-131212002740-phpapp01
Leveraging social relevance: Using social networks to enhance literature access and microblog search (Exploitation des r¨¦seaux sociaux pour l'acc¨¨s ¨¤ la litt¨¦rature et la recherche des microblogs) Thesis submitted for the degree of Doctor of Philosophy Thesis defended on October 8th, 2013 Ph.D: Lamjed Ben Jabeur Supervisor: Prof. Lynda Tamine, University of Toulouse 3 Paul Sabatier Advisor: Prof. Mohand Boughanem, University of Toulouse 3 Paul Sabatier Abstract(EN) We propose in this work to integrate the social information network in the retrieval process and exploit the social relations between social actors as a source of evidence to measure the relevance of a document in response to a query. Two social information retrieval models have been proposed in different application frameworks: literature access and microblog retrieval. The main contributions of each model are detailed in the following. * A social information model for flexible literature access We proposed a generic social information retrieval model for literature access. This model represents scientific papers within a social network and evaluates their importance according to the position of respective authors in the network. Compared to previous approaches, this model incorporates new social entities represented by annotators and social annotations (tags). In addition to co-authorships, this model includes two other types of social relationships: citation and social annotation. Finally, we propose to weight these relationships according to the position of authors in the social network and their mutual collaborations. * A social model for information retrieval for microblog search We proposed a microblog retrieval model that evaluates the quality of tweets in two contexts: the social context and temporal context. The quality of a tweet is estimated by the social importance of the corresponding blogger. In particular, blogger's importance is calculated by the applying PageRank algorithm on the network of social influence. With the same aim, the quality of a tweet is evaluated according to its date of publication. Tweets submitted in periods of activity of query terms are then characterized by a greater importance. Finally, we propose to integrate the social importance of blogger and the temporal magnitude tweets as well as other relevance factors using a Bayesian network model. R¨¦sum¨¦ (FR) Nous proposons dans cette th¨¨se d'int¨¦grer le r¨¦seau social d'information dans le processus de recherche d'information afin d'utiliser les relations sociales entre les acteurs sociaux comme une source d'¨¦vidence pour mesurer la pertinence d'un document en r¨¦ponse ¨¤ une requ¨ºte. Deux mod¨¨les de recherche d'information sociale ont ¨¦t¨¦ propos¨¦s ¨¤ des cadres applicatifs diff¨¦rents : la recherche d'information bibliographique et la recherche d'information dans les microblogs. ]]>
Leveraging social relevance: Using social networks to enhance literature access and microblog search (Exploitation des r¨¦seaux sociaux pour l'acc¨¨s ¨¤ la litt¨¦rature et la recherche des microblogs) Thesis submitted for the degree of Doctor of Philosophy Thesis defended on October 8th, 2013 Ph.D: Lamjed Ben Jabeur Supervisor: Prof. Lynda Tamine, University of Toulouse 3 Paul Sabatier Advisor: Prof. Mohand Boughanem, University of Toulouse 3 Paul Sabatier Abstract(EN) We propose in this work to integrate the social information network in the retrieval process and exploit the social relations between social actors as a source of evidence to measure the relevance of a document in response to a query. Two social information retrieval models have been proposed in different application frameworks: literature access and microblog retrieval. The main contributions of each model are detailed in the following. * A social information model for flexible literature access We proposed a generic social information retrieval model for literature access. This model represents scientific papers within a social network and evaluates their importance according to the position of respective authors in the network. Compared to previous approaches, this model incorporates new social entities represented by annotators and social annotations (tags). In addition to co-authorships, this model includes two other types of social relationships: citation and social annotation. Finally, we propose to weight these relationships according to the position of authors in the social network and their mutual collaborations. * A social model for information retrieval for microblog search We proposed a microblog retrieval model that evaluates the quality of tweets in two contexts: the social context and temporal context. The quality of a tweet is estimated by the social importance of the corresponding blogger. In particular, blogger's importance is calculated by the applying PageRank algorithm on the network of social influence. With the same aim, the quality of a tweet is evaluated according to its date of publication. Tweets submitted in periods of activity of query terms are then characterized by a greater importance. Finally, we propose to integrate the social importance of blogger and the temporal magnitude tweets as well as other relevance factors using a Bayesian network model. R¨¦sum¨¦ (FR) Nous proposons dans cette th¨¨se d'int¨¦grer le r¨¦seau social d'information dans le processus de recherche d'information afin d'utiliser les relations sociales entre les acteurs sociaux comme une source d'¨¦vidence pour mesurer la pertinence d'un document en r¨¦ponse ¨¤ une requ¨ºte. Deux mod¨¨les de recherche d'information sociale ont ¨¦t¨¦ propos¨¦s ¨¤ des cadres applicatifs diff¨¦rents : la recherche d'information bibliographique et la recherche d'information dans les microblogs. ]]> Thu, 12 Dec 2013 00:27:40 GMT https://fr.slideshare.net/slideshow/lamjedben-jabeur-thesis/29133582 amjedbj@slideshare.net(amjedbj) Leveraging social relevance: Using social networks to enhance literature access and microblog searchr thesis amjedbj Leveraging social relevance: Using social networks to enhance literature access and microblog search (Exploitation des r¨¦seaux sociaux pour l'acc¨¨s ¨¤ la litt¨¦rature et la recherche des microblogs) Thesis submitted for the degree of Doctor of Philosophy Thesis defended on October 8th, 2013 Ph.D: Lamjed Ben Jabeur Supervisor: Prof. Lynda Tamine, University of Toulouse 3 Paul Sabatier Advisor: Prof. Mohand Boughanem, University of Toulouse 3 Paul Sabatier Abstract(EN) We propose in this work to integrate the social information network in the retrieval process and exploit the social relations between social actors as a source of evidence to measure the relevance of a document in response to a query. Two social information retrieval models have been proposed in different application frameworks: literature access and microblog retrieval. The main contributions of each model are detailed in the following. * A social information model for flexible literature access We proposed a generic social information retrieval model for literature access. This model represents scientific papers within a social network and evaluates their importance according to the position of respective authors in the network. Compared to previous approaches, this model incorporates new social entities represented by annotators and social annotations (tags). In addition to co-authorships, this model includes two other types of social relationships: citation and social annotation. Finally, we propose to weight these relationships according to the position of authors in the social network and their mutual collaborations. * A social model for information retrieval for microblog search We proposed a microblog retrieval model that evaluates the quality of tweets in two contexts: the social context and temporal context. The quality of a tweet is estimated by the social importance of the corresponding blogger. In particular, blogger's importance is calculated by the applying PageRank algorithm on the network of social influence. With the same aim, the quality of a tweet is evaluated according to its date of publication. Tweets submitted in periods of activity of query terms are then characterized by a greater importance. Finally, we propose to integrate the social importance of blogger and the temporal magnitude tweets as well as other relevance factors using a Bayesian network model. R¨¦sum¨¦ (FR) Nous proposons dans cette th¨¨se d'int¨¦grer le r¨¦seau social d'information dans le processus de recherche d'information afin d'utiliser les relations sociales entre les acteurs sociaux comme une source d'¨¦vidence pour mesurer la pertinence d'un document en r¨¦ponse ¨¤ une requ¨ºte. Deux mod¨¨les de recherche d'information sociale ont ¨¦t¨¦ propos¨¦s ¨¤ des cadres applicatifs diff¨¦rents : la recherche d'information bibliographique et la recherche d'information dans les microblogs. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/lamjed-131212002740-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Leveraging social relevance: Using social networks to enhance literature access and microblog search (Exploitation des r¨¦seaux sociaux pour l&#39;acc¨¨s ¨¤ la litt¨¦rature et la recherche des microblogs) Thesis submitted for the degree of Doctor of Philosophy Thesis defended on October 8th, 2013 Ph.D: Lamjed Ben Jabeur Supervisor: Prof. Lynda Tamine, University of Toulouse 3 Paul Sabatier Advisor: Prof. Mohand Boughanem, University of Toulouse 3 Paul Sabatier Abstract(EN) We propose in this work to integrate the social information network in the retrieval process and exploit the social relations between social actors as a source of evidence to measure the relevance of a document in response to a query. Two social information retrieval models have been proposed in different application frameworks: literature access and microblog retrieval. The main contributions of each model are detailed in the following. * A social information model for flexible literature access We proposed a generic social information retrieval model for literature access. This model represents scientific papers within a social network and evaluates their importance according to the position of respective authors in the network. Compared to previous approaches, this model incorporates new social entities represented by annotators and social annotations (tags). In addition to co-authorships, this model includes two other types of social relationships: citation and social annotation. Finally, we propose to weight these relationships according to the position of authors in the social network and their mutual collaborations. * A social model for information retrieval for microblog search We proposed a microblog retrieval model that evaluates the quality of tweets in two contexts: the social context and temporal context. The quality of a tweet is estimated by the social importance of the corresponding blogger. In particular, blogger&#39;s importance is calculated by the applying PageRank algorithm on the network of social influence. With the same aim, the quality of a tweet is evaluated according to its date of publication. Tweets submitted in periods of activity of query terms are then characterized by a greater importance. Finally, we propose to integrate the social importance of blogger and the temporal magnitude tweets as well as other relevance factors using a Bayesian network model. R¨¦sum¨¦ (FR) Nous proposons dans cette th¨¨se d&#39;int¨¦grer le r¨¦seau social d&#39;information dans le processus de recherche d&#39;information afin d&#39;utiliser les relations sociales entre les acteurs sociaux comme une source d&#39;¨¦vidence pour mesurer la pertinence d&#39;un document en r¨¦ponse ¨¤ une requ¨ºte. Deux mod¨¨les de recherche d&#39;information sociale ont ¨¦t¨¦ propos¨¦s ¨¤ des cadres applicatifs diff¨¦rents : la recherche d&#39;information bibliographique et la recherche d&#39;information dans les microblogs.
from Lamjed Ben Jabeur
]]> 1437 6 https://cdn.slidesharecdn.com/ss_thumbnails/lamjed-131212002740-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Uprising microblogs: A Bayesian network retrieval model for tweet search /slideshow/uprising-microblogs-a-bayesian-network-retrieval-model-for-tweet-search/13431620 acmsac2012-120623164834-phpapp01
Lamjed Ben Jabeur, Lynda Tamine, Mohand Boughanem. Uprising microblogs: A Bayesian network retrieval model for tweet search (regular paper). Dans : ACM Symposium on Applied Computing (SAC 2012), Riva del Garda (Trento), Italy, 26/03/12-30/03/12, mars 2012 http://dx.doi.org/10.1145/2245276.2245459 We investigate in this paper the problem of accessing to real-time information and we propose a Bayesian network retrieval model for tweet search. The proposed model interprets tweet relevance as a conditional probability and estimates it using different sources of evidence. In particular, we introduce a social search model that considers, in addition to text similarity measures, the microblogger¡¯s influence, the time magnitude and the presence of hashtags. To evaluate our model, we conducted a series of experiments on the TREC Tweets2011 corpus. Experiments with ¡°Arab Spring¡± topic set show that both of social and temporal features improve tweet search for different types of queries. Final results show also that our model outperforms other traditional information retrieval baselines.]]>
Lamjed Ben Jabeur, Lynda Tamine, Mohand Boughanem. Uprising microblogs: A Bayesian network retrieval model for tweet search (regular paper). Dans : ACM Symposium on Applied Computing (SAC 2012), Riva del Garda (Trento), Italy, 26/03/12-30/03/12, mars 2012 http://dx.doi.org/10.1145/2245276.2245459 We investigate in this paper the problem of accessing to real-time information and we propose a Bayesian network retrieval model for tweet search. The proposed model interprets tweet relevance as a conditional probability and estimates it using different sources of evidence. In particular, we introduce a social search model that considers, in addition to text similarity measures, the microblogger¡¯s influence, the time magnitude and the presence of hashtags. To evaluate our model, we conducted a series of experiments on the TREC Tweets2011 corpus. Experiments with ¡°Arab Spring¡± topic set show that both of social and temporal features improve tweet search for different types of queries. Final results show also that our model outperforms other traditional information retrieval baselines.]]> Sat, 23 Jun 2012 16:48:33 GMT /slideshow/uprising-microblogs-a-bayesian-network-retrieval-model-for-tweet-search/13431620 amjedbj@slideshare.net(amjedbj) Uprising microblogs: A Bayesian network retrieval model for tweet search amjedbj Lamjed Ben Jabeur, Lynda Tamine, Mohand Boughanem. Uprising microblogs: A Bayesian network retrieval model for tweet search (regular paper). Dans : ACM Symposium on Applied Computing (SAC 2012), Riva del Garda (Trento), Italy, 26/03/12-30/03/12, mars 2012 http://dx.doi.org/10.1145/2245276.2245459 We investigate in this paper the problem of accessing to real-time information and we propose a Bayesian network retrieval model for tweet search. The proposed model interprets tweet relevance as a conditional probability and estimates it using different sources of evidence. In particular, we introduce a social search model that considers, in addition to text similarity measures, the microblogger¡¯s influence, the time magnitude and the presence of hashtags. To evaluate our model, we conducted a series of experiments on the TREC Tweets2011 corpus. Experiments with ¡°Arab Spring¡± topic set show that both of social and temporal features improve tweet search for different types of queries. Final results show also that our model outperforms other traditional information retrieval baselines. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/acmsac2012-120623164834-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Lamjed Ben Jabeur, Lynda Tamine, Mohand Boughanem. Uprising microblogs: A Bayesian network retrieval model for tweet search (regular paper). Dans : ACM Symposium on Applied Computing (SAC 2012), Riva del Garda (Trento), Italy, 26/03/12-30/03/12, mars 2012 http://dx.doi.org/10.1145/2245276.2245459 We investigate in this paper the problem of accessing to real-time information and we propose a Bayesian network retrieval model for tweet search. The proposed model interprets tweet relevance as a conditional probability and estimates it using different sources of evidence. In particular, we introduce a social search model that considers, in addition to text similarity measures, the microblogger¡¯s influence, the time magnitude and the presence of hashtags. To evaluate our model, we conducted a series of experiments on the TREC Tweets2011 corpus. Experiments with ¡°Arab Spring¡± topic set show that both of social and temporal features improve tweet search for different types of queries. Final results show also that our model outperforms other traditional information retrieval baselines.
Uprising microblogs: A Bayesian network retrieval model for tweet search from Lamjed Ben Jabeur
]]> 3652 8 https://cdn.slidesharecdn.com/ss_thumbnails/acmsac2012-120623164834-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Int¨¦gration des facteurs temps et autorit¨¦ sociale dans un mod¨¨le bay¨¦sien de recherche de tweets https://fr.slideshare.net/slideshow/intgration-des-facteurs-temps-et-autorit-sociale-dans-un-modle-baysien-de-recherche-de-tweets/13431570 coria2012-120623163650-phpapp02
Lamjed Ben Jabeur, Lynda Tamine, Mohand Boughanem. Int¨¦gration des facteurs temps et autorit¨¦ sociale dans un mod¨¨le bay¨¦sien de recherche de tweets. Dans : Conf¨¦rence francophone en Recherche d'Information et Applications (CORIA 2012), Bordeaux, 21/03/12-23/03/12, LABRI, p. 301-316, 2012 ftp://ftp.irit.fr/IRIT/SIG/BenJabeur_CORIA2012.pdf Cet article pr¨¦sente une approche sociale pour la recherche d¡¯information dans les microblogs int¨¦grant diverses sources d¡¯¨¦vidence au sein d¡¯un r¨¦seau bay¨¦sien. Notre contribution consiste ¨¤ ¨¦tendre la notion classique de pertinence, bas¨¦e sur la similarit¨¦ textuelle, par de nouveaux facteurs tels que l¡¯importance sociale des blogueurs et la magnitude temporelle des microblogs. Dans ce papier, l¡¯importance sociale d¡¯un blogueur est assimil¨¦e ¨¤ son influence dans le r¨¦seau et est ¨¦valu¨¦e par un score de PageRank d¨¦duit sur le r¨¦seau de diffusion des microblogs. Nous proposons d¡¯estimer la magnitude temporelle selon le nombre de voisins temporels qui incluent les termes de la requ¨ºte. Afin de valider notre approche, une ¨¦valuation exp¨¦rimentale ¨¤ ¨¦t¨¦ men¨¦e sur la collection de microblogs de r¨¦f¨¦rence TREC Tweets2011. Les r¨¦sultats montrent que notre mod¨¨le pr¨¦sente un gain de 24% par rapport ¨¤ la m¨¦diane des r¨¦sultats officiels de TREC Microblog 2011.]]>
Lamjed Ben Jabeur, Lynda Tamine, Mohand Boughanem. Int¨¦gration des facteurs temps et autorit¨¦ sociale dans un mod¨¨le bay¨¦sien de recherche de tweets. Dans : Conf¨¦rence francophone en Recherche d'Information et Applications (CORIA 2012), Bordeaux, 21/03/12-23/03/12, LABRI, p. 301-316, 2012 ftp://ftp.irit.fr/IRIT/SIG/BenJabeur_CORIA2012.pdf Cet article pr¨¦sente une approche sociale pour la recherche d¡¯information dans les microblogs int¨¦grant diverses sources d¡¯¨¦vidence au sein d¡¯un r¨¦seau bay¨¦sien. Notre contribution consiste ¨¤ ¨¦tendre la notion classique de pertinence, bas¨¦e sur la similarit¨¦ textuelle, par de nouveaux facteurs tels que l¡¯importance sociale des blogueurs et la magnitude temporelle des microblogs. Dans ce papier, l¡¯importance sociale d¡¯un blogueur est assimil¨¦e ¨¤ son influence dans le r¨¦seau et est ¨¦valu¨¦e par un score de PageRank d¨¦duit sur le r¨¦seau de diffusion des microblogs. Nous proposons d¡¯estimer la magnitude temporelle selon le nombre de voisins temporels qui incluent les termes de la requ¨ºte. Afin de valider notre approche, une ¨¦valuation exp¨¦rimentale ¨¤ ¨¦t¨¦ men¨¦e sur la collection de microblogs de r¨¦f¨¦rence TREC Tweets2011. Les r¨¦sultats montrent que notre mod¨¨le pr¨¦sente un gain de 24% par rapport ¨¤ la m¨¦diane des r¨¦sultats officiels de TREC Microblog 2011.]]> Sat, 23 Jun 2012 16:36:48 GMT https://fr.slideshare.net/slideshow/intgration-des-facteurs-temps-et-autorit-sociale-dans-un-modle-baysien-de-recherche-de-tweets/13431570 amjedbj@slideshare.net(amjedbj) Int¨¦gration des facteurs temps et autorit¨¦ sociale dans un mod¨¨le bay¨¦sien de recherche de tweets amjedbj Lamjed Ben Jabeur, Lynda Tamine, Mohand Boughanem. Int¨¦gration des facteurs temps et autorit¨¦ sociale dans un mod¨¨le bay¨¦sien de recherche de tweets. Dans : Conf¨¦rence francophone en Recherche d'Information et Applications (CORIA 2012), Bordeaux, 21/03/12-23/03/12, LABRI, p. 301-316, 2012 ftp://ftp.irit.fr/IRIT/SIG/BenJabeur_CORIA2012.pdf Cet article pr¨¦sente une approche sociale pour la recherche d¡¯information dans les microblogs int¨¦grant diverses sources d¡¯¨¦vidence au sein d¡¯un r¨¦seau bay¨¦sien. Notre contribution consiste ¨¤ ¨¦tendre la notion classique de pertinence, bas¨¦e sur la similarit¨¦ textuelle, par de nouveaux facteurs tels que l¡¯importance sociale des blogueurs et la magnitude temporelle des microblogs. Dans ce papier, l¡¯importance sociale d¡¯un blogueur est assimil¨¦e ¨¤ son influence dans le r¨¦seau et est ¨¦valu¨¦e par un score de PageRank d¨¦duit sur le r¨¦seau de diffusion des microblogs. Nous proposons d¡¯estimer la magnitude temporelle selon le nombre de voisins temporels qui incluent les termes de la requ¨ºte. Afin de valider notre approche, une ¨¦valuation exp¨¦rimentale ¨¤ ¨¦t¨¦ men¨¦e sur la collection de microblogs de r¨¦f¨¦rence TREC Tweets2011. Les r¨¦sultats montrent que notre mod¨¨le pr¨¦sente un gain de 24% par rapport ¨¤ la m¨¦diane des r¨¦sultats officiels de TREC Microblog 2011. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/coria2012-120623163650-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Lamjed Ben Jabeur, Lynda Tamine, Mohand Boughanem. Int¨¦gration des facteurs temps et autorit¨¦ sociale dans un mod¨¨le bay¨¦sien de recherche de tweets. Dans : Conf¨¦rence francophone en Recherche d&#39;Information et Applications (CORIA 2012), Bordeaux, 21/03/12-23/03/12, LABRI, p. 301-316, 2012 ftp://ftp.irit.fr/IRIT/SIG/BenJabeur_CORIA2012.pdf Cet article pr¨¦sente une approche sociale pour la recherche d¡¯information dans les microblogs int¨¦grant diverses sources d¡¯¨¦vidence au sein d¡¯un r¨¦seau bay¨¦sien. Notre contribution consiste ¨¤ ¨¦tendre la notion classique de pertinence, bas¨¦e sur la similarit¨¦ textuelle, par de nouveaux facteurs tels que l¡¯importance sociale des blogueurs et la magnitude temporelle des microblogs. Dans ce papier, l¡¯importance sociale d¡¯un blogueur est assimil¨¦e ¨¤ son influence dans le r¨¦seau et est ¨¦valu¨¦e par un score de PageRank d¨¦duit sur le r¨¦seau de diffusion des microblogs. Nous proposons d¡¯estimer la magnitude temporelle selon le nombre de voisins temporels qui incluent les termes de la requ¨ºte. Afin de valider notre approche, une ¨¦valuation exp¨¦rimentale ¨¤ ¨¦t¨¦ men¨¦e sur la collection de microblogs de r¨¦f¨¦rence TREC Tweets2011. Les r¨¦sultats montrent que notre mod¨¨le pr¨¦sente un gain de 24% par rapport ¨¤ la m¨¦diane des r¨¦sultats officiels de TREC Microblog 2011.
from Lamjed Ben Jabeur
]]> 1076 10 https://cdn.slidesharecdn.com/ss_thumbnails/coria2012-120623163650-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Un mod¨¨le de recherche d¡¯information sociale dans les microblogs : cas de Twitter https://fr.slideshare.net/slideshow/un-modle-de-recherche-dinformation-sociale-dans-les-microblogs-cas-de-twitter/10018608 benjabeur-marami2011-111103232758-phpapp01
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]]> Thu, 03 Nov 2011 23:27:56 GMT https://fr.slideshare.net/slideshow/un-modle-de-recherche-dinformation-sociale-dans-les-microblogs-cas-de-twitter/10018608 amjedbj@slideshare.net(amjedbj) Un mod¨¨le de recherche d¡¯information sociale dans les microblogs : cas de Twitter amjedbj <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/benjabeur-marami2011-111103232758-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
from Lamjed Ben Jabeur
]]> 1885 7 https://cdn.slidesharecdn.com/ss_thumbnails/benjabeur-marami2011-111103232758-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Un mod¨¨le de Recherche d'Information Sociale pour l'Acc¨¨s aux Ressources Bibliographiques : Vers un r¨¦seau social pond¨¦r¨¦ https://fr.slideshare.net/slideshow/r-ei-so-2010/4409452 reiso2010-100604043703-phpapp02
Cet article propose une nouvelle approche, bas¨¦e sur les r¨¦seaux sociaux, pour l'acc¨¨s aux ressources bibliographiques. Nous introduisons un mod¨¨le d'information sociale dont les auteurs sont les principales entit¨¦s et les relations sont extraites ¨¤ partir des liens de coauteur et de citation. En effet, ces relations sont pond¨¦r¨¦es en tenant compte des interactions entre les auteurs et des annotations sociales produites par les utilisateurs. Dans ce mod¨¨le, la pertinence d'un document est estim¨¦e par combinaison de la pertinence th¨¦matique et de la pertinence sociale, qui est ¨¤ son tour d¨¦riv¨¦e de l'importance sociale des auteurs associ¨¦s. Nous ¨¦valuons la viabilit¨¦ de notre mod¨¨le sur une collection d'articles scientifiques dont les annotation sociales sont extraites depuis le r¨¦seau social acad¨¦mique CiteULike.org. Les r¨¦sultats obtenus montrent la sup¨¦riorit¨¦ des performances de notre mod¨¨le par rapport ¨¤ la recherche d'information traditionnelle. ]]>
Cet article propose une nouvelle approche, bas¨¦e sur les r¨¦seaux sociaux, pour l'acc¨¨s aux ressources bibliographiques. Nous introduisons un mod¨¨le d'information sociale dont les auteurs sont les principales entit¨¦s et les relations sont extraites ¨¤ partir des liens de coauteur et de citation. En effet, ces relations sont pond¨¦r¨¦es en tenant compte des interactions entre les auteurs et des annotations sociales produites par les utilisateurs. Dans ce mod¨¨le, la pertinence d'un document est estim¨¦e par combinaison de la pertinence th¨¦matique et de la pertinence sociale, qui est ¨¤ son tour d¨¦riv¨¦e de l'importance sociale des auteurs associ¨¦s. Nous ¨¦valuons la viabilit¨¦ de notre mod¨¨le sur une collection d'articles scientifiques dont les annotation sociales sont extraites depuis le r¨¦seau social acad¨¦mique CiteULike.org. Les r¨¦sultats obtenus montrent la sup¨¦riorit¨¦ des performances de notre mod¨¨le par rapport ¨¤ la recherche d'information traditionnelle. ]]> Fri, 04 Jun 2010 04:36:57 GMT https://fr.slideshare.net/slideshow/r-ei-so-2010/4409452 amjedbj@slideshare.net(amjedbj) Un mod¨¨le de Recherche d'Information Sociale pour l'Acc¨¨s aux Ressources Bibliographiques : Vers un r¨¦seau social pond¨¦r¨¦ amjedbj Cet article propose une nouvelle approche, bas¨¦e sur les r¨¦seaux sociaux, pour l'acc¨¨s aux ressources bibliographiques. Nous introduisons un mod¨¨le d'information sociale dont les auteurs sont les principales entit¨¦s et les relations sont extraites ¨¤ partir des liens de coauteur et de citation. En effet, ces relations sont pond¨¦r¨¦es en tenant compte des interactions entre les auteurs et des annotations sociales produites par les utilisateurs. Dans ce mod¨¨le, la pertinence d'un document est estim¨¦e par combinaison de la pertinence th¨¦matique et de la pertinence sociale, qui est ¨¤ son tour d¨¦riv¨¦e de l'importance sociale des auteurs associ¨¦s. Nous ¨¦valuons la viabilit¨¦ de notre mod¨¨le sur une collection d'articles scientifiques dont les annotation sociales sont extraites depuis le r¨¦seau social acad¨¦mique CiteULike.org. Les r¨¦sultats obtenus montrent la sup¨¦riorit¨¦ des performances de notre mod¨¨le par rapport ¨¤ la recherche d'information traditionnelle. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/reiso2010-100604043703-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Cet article propose une nouvelle approche, bas¨¦e sur les r¨¦seaux sociaux, pour l&#39;acc¨¨s aux ressources bibliographiques. Nous introduisons un mod¨¨le d&#39;information sociale dont les auteurs sont les principales entit¨¦s et les relations sont extraites ¨¤ partir des liens de coauteur et de citation. En effet, ces relations sont pond¨¦r¨¦es en tenant compte des interactions entre les auteurs et des annotations sociales produites par les utilisateurs. Dans ce mod¨¨le, la pertinence d&#39;un document est estim¨¦e par combinaison de la pertinence th¨¦matique et de la pertinence sociale, qui est ¨¤ son tour d¨¦riv¨¦e de l&#39;importance sociale des auteurs associ¨¦s. Nous ¨¦valuons la viabilit¨¦ de notre mod¨¨le sur une collection d&#39;articles scientifiques dont les annotation sociales sont extraites depuis le r¨¦seau social acad¨¦mique CiteULike.org. Les r¨¦sultats obtenus montrent la sup¨¦riorit¨¦ des performances de notre mod¨¨le par rapport ¨¤ la recherche d&#39;information traditionnelle.
from Lamjed Ben Jabeur
]]> 7001 17 https://cdn.slidesharecdn.com/ss_thumbnails/reiso2010-100604043703-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 A social model for Literature Access: Towards a weighted social network of authors /slideshow/riao2010/3946492 riao2010-100503043255-phpapp01
This paper presents a novel retrieval approach for literature access based on social network analysis. In fact, we investigate a social model where authors represent the main entities and relationships are extracted from co-author and citation links. Moreover, we define a weighting model for social relationships which takes into account the authors positions in the social network and their mutual collaborations. Assigned weights express influence, knowledge transfer and shared interest between authors. Furthermore, we estimate document relevance by combing the document-query similarity and the document social importance derived from corresponding authors. To evaluate the effectiveness of our model, we conduct a series of experiments on a scientific document dataset that includes textual content and social data extracted from the academic social network "CiteULike". Final results show that the proposed model improves the retrieval effectiveness and outperforms traditional and social information retrieval baselines.]]>
This paper presents a novel retrieval approach for literature access based on social network analysis. In fact, we investigate a social model where authors represent the main entities and relationships are extracted from co-author and citation links. Moreover, we define a weighting model for social relationships which takes into account the authors positions in the social network and their mutual collaborations. Assigned weights express influence, knowledge transfer and shared interest between authors. Furthermore, we estimate document relevance by combing the document-query similarity and the document social importance derived from corresponding authors. To evaluate the effectiveness of our model, we conduct a series of experiments on a scientific document dataset that includes textual content and social data extracted from the academic social network "CiteULike". Final results show that the proposed model improves the retrieval effectiveness and outperforms traditional and social information retrieval baselines.]]> Mon, 03 May 2010 04:32:47 GMT /slideshow/riao2010/3946492 amjedbj@slideshare.net(amjedbj) A social model for Literature Access: Towards a weighted social network of authors amjedbj This paper presents a novel retrieval approach for literature access based on social network analysis. In fact, we investigate a social model where authors represent the main entities and relationships are extracted from co-author and citation links. Moreover, we define a weighting model for social relationships which takes into account the authors positions in the social network and their mutual collaborations. Assigned weights express influence, knowledge transfer and shared interest between authors. Furthermore, we estimate document relevance by combing the document-query similarity and the document social importance derived from corresponding authors. To evaluate the effectiveness of our model, we conduct a series of experiments on a scientific document dataset that includes textual content and social data extracted from the academic social network "CiteULike". Final results show that the proposed model improves the retrieval effectiveness and outperforms traditional and social information retrieval baselines. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/riao2010-100503043255-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This paper presents a novel retrieval approach for literature access based on social network analysis. In fact, we investigate a social model where authors represent the main entities and relationships are extracted from co-author and citation links. Moreover, we define a weighting model for social relationships which takes into account the authors positions in the social network and their mutual collaborations. Assigned weights express influence, knowledge transfer and shared interest between authors. Furthermore, we estimate document relevance by combing the document-query similarity and the document social importance derived from corresponding authors. To evaluate the effectiveness of our model, we conduct a series of experiments on a scientific document dataset that includes textual content and social data extracted from the academic social network &quot;CiteULike&quot;. Final results show that the proposed model improves the retrieval effectiveness and outperforms traditional and social information retrieval baselines.
A social model for Literature Access: Towards a weighted social network of authors from Lamjed Ben Jabeur
]]> 830 4 https://cdn.slidesharecdn.com/ss_thumbnails/riao2010-100503043255-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 An Exploratory Study on Using Social Information Networks for Flexible Literature Access /slideshow/an-exploratory-study-on-using-social-information-networks-for-flexible-literature-access/2949506 anexploratorystudyonusingsocialinformation-100119100119-phpapp01
It is well known that the fundamental intellectual problems of information access are the production and consumption of information. In this paper, we investigate the use of social network of information producers (authors) within relations in data (co-authorship and citation) in order to improve the relevance of information access. Relevance is derived from the network by levraging the usual topical similarity between the query and the document with the target author¡¯s authority. We explore various social network based measures for computing social information importance and show how this kind of contextual information can be incorporated within an information access model. We experiment with a collection issued from SIGIR proceedings and show that combining topical, author and citation based evidences can significantly improve retrieval access precision, measured in terms of mean reciprocal rank.]]>
It is well known that the fundamental intellectual problems of information access are the production and consumption of information. In this paper, we investigate the use of social network of information producers (authors) within relations in data (co-authorship and citation) in order to improve the relevance of information access. Relevance is derived from the network by levraging the usual topical similarity between the query and the document with the target author¡¯s authority. We explore various social network based measures for computing social information importance and show how this kind of contextual information can be incorporated within an information access model. We experiment with a collection issued from SIGIR proceedings and show that combining topical, author and citation based evidences can significantly improve retrieval access precision, measured in terms of mean reciprocal rank.]]> Tue, 19 Jan 2010 10:00:04 GMT /slideshow/an-exploratory-study-on-using-social-information-networks-for-flexible-literature-access/2949506 amjedbj@slideshare.net(amjedbj) An Exploratory Study on Using Social Information Networks for Flexible Literature Access amjedbj It is well known that the fundamental intellectual problems of information access are the production and consumption of information. In this paper, we investigate the use of social network of information producers (authors) within relations in data (co-authorship and citation) in order to improve the relevance of information access. Relevance is derived from the network by levraging the usual topical similarity between the query and the document with the target author¡¯s authority. We explore various social network based measures for computing social information importance and show how this kind of contextual information can be incorporated within an information access model. We experiment with a collection issued from SIGIR proceedings and show that combining topical, author and citation based evidences can significantly improve retrieval access precision, measured in terms of mean reciprocal rank. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/anexploratorystudyonusingsocialinformation-100119100119-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> It is well known that the fundamental intellectual problems of information access are the production and consumption of information. In this paper, we investigate the use of social network of information producers (authors) within relations in data (co-authorship and citation) in order to improve the relevance of information access. Relevance is derived from the network by levraging the usual topical similarity between the query and the document with the target author¡¯s authority. We explore various social network based measures for computing social information importance and show how this kind of contextual information can be incorporated within an information access model. We experiment with a collection issued from SIGIR proceedings and show that combining topical, author and citation based evidences can significantly improve retrieval access precision, measured in terms of mean reciprocal rank.
An Exploratory Study on Using Social Information Networks for Flexible Literature Access from Lamjed Ben Jabeur
]]> 1006 6 https://cdn.slidesharecdn.com/ss_thumbnails/anexploratorystudyonusingsocialinformation-100119100119-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-amjedbj-48x48.jpg?cb=1547110104 Creativity is thinking up new things. Innovation is doing new things. amjedbj.wordpress.com/ https://cdn.slidesharecdn.com/ss_thumbnails/coria2016-v6-160323110718-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/quels-facteurs-de-pertinence-pour-la-recherche-de-produits-ecommerce/59928766 Quels facteurs de pert... https://cdn.slidesharecdn.com/ss_thumbnails/marami2015-151018191005-lva1-app6892-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/accs-linformation-dans-les-rseaux-sociaux-quelles-formes-de-collaboration/54088013 Acc¨¨s ¨¤ l¡¯information ... https://cdn.slidesharecdn.com/ss_thumbnails/iritatclef2015-150912112517-lva1-app6892-thumbnail.jpg?width=320&height=320&fit=bounds amjedbj/irit-at-clef-2015-a-product-search-model-for-head-queries IRIT at clef 2015: A p...