�ݺ�ߣshows by User: geneg

�ݺ�ߣshows by User: geneg / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: geneg / Thu, 14 Mar 2013 10:59:07 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: geneg Interactivity and feedback /slideshow/interactivity-and-feedback/17202857 interactivityandfeedback-130314105907-phpapp01
�ݺ�ߣs given at the NSF-sponsored workshop on task-based search at UNC]]>
�ݺ�ߣs given at the NSF-sponsored workshop on task-based search at UNC]]> Thu, 14 Mar 2013 10:59:07 GMT /slideshow/interactivity-and-feedback/17202857 geneg@slideshare.net(geneg) Interactivity and feedback geneg �ݺ�ߣs given at the NSF-sponsored workshop on task-based search at UNC <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/interactivityandfeedback-130314105907-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> �ݺ�ߣs given at the NSF-sponsored workshop on task-based search at UNC

Interactivity and feedback from Gene Golovchinsky

]]> 730 3 https://cdn.slidesharecdn.com/ss_thumbnails/interactivityandfeedback-130314105907-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post

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0 Does History Matter? /slideshow/does-history-matter/13425623 catch-bridge-slides-120622224438-phpapp02
When pursuing complex information needs (e.g., doing genealogical searching, exploring historical archives, planning a vacation, doing a patent search, etc.), people often run multiple queries to discover effective search terms, to break the problem down into sub-tasks, to reflect an evolving understanding of the information need, etc. Such queries often retrieve many of the same documents, but most systems offer no help in understanding this redundancy. In this talk, I will describe Querium, an interactive information seeking system I have been building that helps people make sense of their past interactions, that helps them understand how the current results relate to what has been found before, and thus helps them plan for the future. These slides are from an invited talk I gave at a NWO-sponsored CATCH meeting by BRIDGE on June 22, 2012 in The Netherlands. For more information on the event, see http://www.nwo.nl/nwohome.nsf/pages/NWOP_8UYEKF NWO: The Netherlands Organisation for Scientific Research CATCH: Continuous Access To Cultural Heritage BRIDGE: Building Rich Links To Enable Television History Research]]>
When pursuing complex information needs (e.g., doing genealogical searching, exploring historical archives, planning a vacation, doing a patent search, etc.), people often run multiple queries to discover effective search terms, to break the problem down into sub-tasks, to reflect an evolving understanding of the information need, etc. Such queries often retrieve many of the same documents, but most systems offer no help in understanding this redundancy. In this talk, I will describe Querium, an interactive information seeking system I have been building that helps people make sense of their past interactions, that helps them understand how the current results relate to what has been found before, and thus helps them plan for the future. These slides are from an invited talk I gave at a NWO-sponsored CATCH meeting by BRIDGE on June 22, 2012 in The Netherlands. For more information on the event, see http://www.nwo.nl/nwohome.nsf/pages/NWOP_8UYEKF NWO: The Netherlands Organisation for Scientific Research CATCH: Continuous Access To Cultural Heritage BRIDGE: Building Rich Links To Enable Television History Research]]> Fri, 22 Jun 2012 22:44:35 GMT /slideshow/does-history-matter/13425623 geneg@slideshare.net(geneg) Does History Matter? geneg When pursuing complex information needs (e.g., doing genealogical searching, exploring historical archives, planning a vacation, doing a patent search, etc.), people often run multiple queries to discover effective search terms, to break the problem down into sub-tasks, to reflect an evolving understanding of the information need, etc. Such queries often retrieve many of the same documents, but most systems offer no help in understanding this redundancy. In this talk, I will describe Querium, an interactive information seeking system I have been building that helps people make sense of their past interactions, that helps them understand how the current results relate to what has been found before, and thus helps them plan for the future. These slides are from an invited talk I gave at a NWO-sponsored CATCH meeting by BRIDGE on June 22, 2012 in The Netherlands. For more information on the event, see http://www.nwo.nl/nwohome.nsf/pages/NWOP_8UYEKF NWO: The Netherlands Organisation for Scientific Research CATCH: Continuous Access To Cultural Heritage BRIDGE: Building Rich Links To Enable Television History Research <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/catch-bridge-slides-120622224438-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> When pursuing complex information needs (e.g., doing genealogical searching, exploring historical archives, planning a vacation, doing a patent search, etc.), people often run multiple queries to discover effective search terms, to break the problem down into sub-tasks, to reflect an evolving understanding of the information need, etc. Such queries often retrieve many of the same documents, but most systems offer no help in understanding this redundancy. In this talk, I will describe Querium, an interactive information seeking system I have been building that helps people make sense of their past interactions, that helps them understand how the current results relate to what has been found before, and thus helps them plan for the future. These slides are from an invited talk I gave at a NWO-sponsored CATCH meeting by BRIDGE on June 22, 2012 in The Netherlands. For more information on the event, see http://www.nwo.nl/nwohome.nsf/pages/NWOP_8UYEKF NWO: The Netherlands Organisation for Scientific Research CATCH: Continuous Access To Cultural Heritage BRIDGE: Building Rich Links To Enable Television History Research

Does History Matter? from Gene Golovchinsky

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0 Exploring session search /slideshow/exploring-session-search-compact/12239303 exploringsessionsearch-compact-120401001911-phpapp01
�ݺ�ߣs from my presentation at the ECIR 2012 workshop on "Information Retrieval Over Query Sessions" (SIR2012) held in Barcelona, Spain. Title: Exploring Session Search Abstract: Exploratory search is typically characterized by recall-oriented information needs and by uncertainty and evolution of the information need. As searchers interact with the system, their understanding of the topic evolves in response to found information. These two characteristics – uncertainty of information need and the desire to find multiple documents – drive the need to run multiple queries. Furthermore, these queries are not independent of each other because they often retrieve overlapping sets of documents. Yet traditional information retrieval systems often treat searchers’ queries in isolation, ignoring the evolution of a person’s understanding of the information need and the historical coupling among queries. I this talk, I will describe some interface ideas we're exploring to help people incorporate their search history into their ongoing retrieval and sense-making tasks, and will touch on some issues related to retrieval algorithms and evaluation.]]>
�ݺ�ߣs from my presentation at the ECIR 2012 workshop on "Information Retrieval Over Query Sessions" (SIR2012) held in Barcelona, Spain. Title: Exploring Session Search Abstract: Exploratory search is typically characterized by recall-oriented information needs and by uncertainty and evolution of the information need. As searchers interact with the system, their understanding of the topic evolves in response to found information. These two characteristics – uncertainty of information need and the desire to find multiple documents – drive the need to run multiple queries. Furthermore, these queries are not independent of each other because they often retrieve overlapping sets of documents. Yet traditional information retrieval systems often treat searchers’ queries in isolation, ignoring the evolution of a person’s understanding of the information need and the historical coupling among queries. I this talk, I will describe some interface ideas we're exploring to help people incorporate their search history into their ongoing retrieval and sense-making tasks, and will touch on some issues related to retrieval algorithms and evaluation.]]> Sun, 01 Apr 2012 00:19:09 GMT /slideshow/exploring-session-search-compact/12239303 geneg@slideshare.net(geneg) Exploring session search geneg �ݺ�ߣs from my presentation at the ECIR 2012 workshop on "Information Retrieval Over Query Sessions" (SIR2012) held in Barcelona, Spain. Title: Exploring Session Search Abstract: Exploratory search is typically characterized by recall-oriented information needs and by uncertainty and evolution of the information need. As searchers interact with the system, their understanding of the topic evolves in response to found information. These two characteristics – uncertainty of information need and the desire to find multiple documents – drive the need to run multiple queries. Furthermore, these queries are not independent of each other because they often retrieve overlapping sets of documents. Yet traditional information retrieval systems often treat searchers’ queries in isolation, ignoring the evolution of a person’s understanding of the information need and the historical coupling among queries. I this talk, I will describe some interface ideas we're exploring to help people incorporate their search history into their ongoing retrieval and sense-making tasks, and will touch on some issues related to retrieval algorithms and evaluation. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/exploringsessionsearch-compact-120401001911-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> �ݺ�ߣs from my presentation at the ECIR 2012 workshop on "Information Retrieval Over Query Sessions" (SIR2012) held in Barcelona, Spain. Title: Exploring Session Search Abstract: Exploratory search is typically characterized by recall-oriented information needs and by uncertainty and evolution of the information need. As searchers interact with the system, their understanding of the topic evolves in response to found information. These two characteristics – uncertainty of information need and the desire to find multiple documents – drive the need to run multiple queries. Furthermore, these queries are not independent of each other because they often retrieve overlapping sets of documents. Yet traditional information retrieval systems often treat searchers’ queries in isolation, ignoring the evolution of a person’s understanding of the information need and the historical coupling among queries. I this talk, I will describe some interface ideas we're exploring to help people incorporate their search history into their ongoing retrieval and sense-making tasks, and will touch on some issues related to retrieval algorithms and evaluation.

Exploring session search from Gene Golovchinsky

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0 Reverted Indexing for Expansion and Feedback /slideshow/reverted-indexing-for-expansion-and-feedback/5655967 ckikmrevindexing-slideshare-101103095611-phpapp02
Pickens, J., Cooper, M., and Golovchinsky, G. Reverted Indexing for Expansion and Feedback. In Proc. CIKM 2010, Toronto, Canada, ACM Press. See http://fxpal.com/?p=abstract&abstractID=581]]>
Pickens, J., Cooper, M., and Golovchinsky, G. Reverted Indexing for Expansion and Feedback. In Proc. CIKM 2010, Toronto, Canada, ACM Press. See http://fxpal.com/?p=abstract&abstractID=581]]> Wed, 03 Nov 2010 09:56:02 GMT /slideshow/reverted-indexing-for-expansion-and-feedback/5655967 geneg@slideshare.net(geneg) Reverted Indexing for Expansion and Feedback geneg Pickens, J., Cooper, M., and Golovchinsky, G. Reverted Indexing for Expansion and Feedback. In Proc. CIKM 2010, Toronto, Canada, ACM Press. See http://fxpal.com/?p=abstract&abstractID=581 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ckikmrevindexing-slideshare-101103095611-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Pickens, J., Cooper, M., and Golovchinsky, G. Reverted Indexing for Expansion and Feedback. In Proc. CIKM 2010, Toronto, Canada, ACM Press. See http://fxpal.com/?p=abstract&abstractID=581

Reverted Indexing for Expansion and Feedback from Gene Golovchinsky

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0 Interactive Information Seeking via Selective Application of Contextual Knowledge /slideshow/conference-presentation-5019960/5019960 conferencepresentation-100820110844-phpapp01
Exploratory search is a difficult activity that requires iterative interaction. This iterative process helps the searcher to understand and to refine the information need. It also generates a rich set of data that can be used effectively to reflect on what has been found (and found useful). While traditional information retrieval systems have focused on organizing the data that was retrieved, in this paper, we describe a systematic approach to organizing the metadata generated during the search process. We describe a framework for unifying transitions among various stages of exploratory search, and show how context from one stage can be applied to the next. The framework can be used both to describe existing information seeking interactions, and as a means of generating novel ones. We illustrate the framework with examples from a session-based exploratory search system prototype.]]>
Exploratory search is a difficult activity that requires iterative interaction. This iterative process helps the searcher to understand and to refine the information need. It also generates a rich set of data that can be used effectively to reflect on what has been found (and found useful). While traditional information retrieval systems have focused on organizing the data that was retrieved, in this paper, we describe a systematic approach to organizing the metadata generated during the search process. We describe a framework for unifying transitions among various stages of exploratory search, and show how context from one stage can be applied to the next. The framework can be used both to describe existing information seeking interactions, and as a means of generating novel ones. We illustrate the framework with examples from a session-based exploratory search system prototype.]]> Fri, 20 Aug 2010 11:08:33 GMT /slideshow/conference-presentation-5019960/5019960 geneg@slideshare.net(geneg) Interactive Information Seeking via Selective Application of Contextual Knowledge geneg Exploratory search is a difficult activity that requires iterative interaction. This iterative process helps the searcher to understand and to refine the information need. It also generates a rich set of data that can be used effectively to reflect on what has been found (and found useful). While traditional information retrieval systems have focused on organizing the data that was retrieved, in this paper, we describe a systematic approach to organizing the metadata generated during the search process. We describe a framework for unifying transitions among various stages of exploratory search, and show how context from one stage can be applied to the next. The framework can be used both to describe existing information seeking interactions, and as a means of generating novel ones. We illustrate the framework with examples from a session-based exploratory search system prototype. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/conferencepresentation-100820110844-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Exploratory search is a difficult activity that requires iterative interaction. This iterative process helps the searcher to understand and to refine the information need. It also generates a rich set of data that can be used effectively to reflect on what has been found (and found useful). While traditional information retrieval systems have focused on organizing the data that was retrieved, in this paper, we describe a systematic approach to organizing the metadata generated during the search process. We describe a framework for unifying transitions among various stages of exploratory search, and show how context from one stage can be applied to the next. The framework can be used both to describe existing information seeking interactions, and as a means of generating novel ones. We illustrate the framework with examples from a session-based exploratory search system prototype.

Interactive Information Seeking via Selective Application of Contextual Knowledge from Gene Golovchinsky

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0 Making Sense Of Twitter Search - Ignite talk at CHI 2010 Microblogging workshop /geneg/making-sense-of-twitter-search-ignite-talk-at-chi-2010-microblogging-workshop makingsenseoftwittersearch-reduced-100411153209-phpapp02
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]]> Sun, 11 Apr 2010 15:32:01 GMT /geneg/making-sense-of-twitter-search-ignite-talk-at-chi-2010-microblogging-workshop geneg@slideshare.net(geneg) Making Sense Of Twitter Search - Ignite talk at CHI 2010 Microblogging workshop geneg <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/makingsenseoftwittersearch-reduced-100411153209-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" />

Making Sense Of Twitter Search - Ignite talk at CHI 2010 Microblogging workshop from Gene Golovchinsky

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0 A Model Of Collaborative Search /slideshow/a-model-of-collaborative-search/2315558 amodelofcollaborativesearch-091021212830-phpapp01
In the library sciences, information seeking has long been recognized as a collaborative activity, and recent work has attempted to model group information seeking behavior. Until recently, technological support for group-based information seeking has been limited to collaborative filtering and "social search" applications. In the past two years, however, a new kind of technologically-mediated collaborative search has been demonstrated in systems such as SearchTogether and Cerchiamo. This approach is more closely grounded in the library science interpretation of collaboration: rather than inferring commonality of interest through similarity of queries (social search), the new approach assumes an explicitly-shared information need for a group. This allows the system to focus on mediating the collaboration rather than detecting its presence. In this talk, we describe a model that captures both user behavior and system architecture, describe its relationship to other models of information seeking, and use it to classify existing multi-user search systems. We also describe implications this model has for design and evaluation of new collaborative information seeking systems. Talk presented at NIST on October 22, 2009.]]>
In the library sciences, information seeking has long been recognized as a collaborative activity, and recent work has attempted to model group information seeking behavior. Until recently, technological support for group-based information seeking has been limited to collaborative filtering and "social search" applications. In the past two years, however, a new kind of technologically-mediated collaborative search has been demonstrated in systems such as SearchTogether and Cerchiamo. This approach is more closely grounded in the library science interpretation of collaboration: rather than inferring commonality of interest through similarity of queries (social search), the new approach assumes an explicitly-shared information need for a group. This allows the system to focus on mediating the collaboration rather than detecting its presence. In this talk, we describe a model that captures both user behavior and system architecture, describe its relationship to other models of information seeking, and use it to classify existing multi-user search systems. We also describe implications this model has for design and evaluation of new collaborative information seeking systems. Talk presented at NIST on October 22, 2009.]]> Wed, 21 Oct 2009 21:28:23 GMT /slideshow/a-model-of-collaborative-search/2315558 geneg@slideshare.net(geneg) A Model Of Collaborative Search geneg In the library sciences, information seeking has long been recognized as a collaborative activity, and recent work has attempted to model group information seeking behavior. Until recently, technological support for group-based information seeking has been limited to collaborative filtering and "social search" applications. In the past two years, however, a new kind of technologically-mediated collaborative search has been demonstrated in systems such as SearchTogether and Cerchiamo. This approach is more closely grounded in the library science interpretation of collaboration: rather than inferring commonality of interest through similarity of queries (social search), the new approach assumes an explicitly-shared information need for a group. This allows the system to focus on mediating the collaboration rather than detecting its presence. In this talk, we describe a model that captures both user behavior and system architecture, describe its relationship to other models of information seeking, and use it to classify existing multi-user search systems. We also describe implications this model has for design and evaluation of new collaborative information seeking systems. Talk presented at NIST on October 22, 2009. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/amodelofcollaborativesearch-091021212830-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> In the library sciences, information seeking has long been recognized as a collaborative activity, and recent work has attempted to model group information seeking behavior. Until recently, technological support for group-based information seeking has been limited to collaborative filtering and "social search" applications. In the past two years, however, a new kind of technologically-mediated collaborative search has been demonstrated in systems such as SearchTogether and Cerchiamo. This approach is more closely grounded in the library science interpretation of collaboration: rather than inferring commonality of interest through similarity of queries (social search), the new approach assumes an explicitly-shared information need for a group. This allows the system to focus on mediating the collaboration rather than detecting its presence. In this talk, we describe a model that captures both user behavior and system architecture, describe its relationship to other models of information seeking, and use it to classify existing multi-user search systems. We also describe implications this model has for design and evaluation of new collaborative information seeking systems. Talk presented at NIST on October 22, 2009.

A Model Of Collaborative Search from Gene Golovchinsky

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0 https://public.slidesharecdn.com/v2/images/profile-picture.png palblog.fxpal.com?author=4 https://cdn.slidesharecdn.com/ss_thumbnails/interactivityandfeedback-130314105907-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/interactivity-and-feedback/17202857 Interactivity and feed... https://cdn.slidesharecdn.com/ss_thumbnails/catch-bridge-slides-120622224438-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/does-history-matter/13425623 Does History Matter? https://cdn.slidesharecdn.com/ss_thumbnails/exploringsessionsearch-compact-120401001911-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/exploring-session-search-compact/12239303 Exploring session search