�ݺ�ߣshows by User: b

�ݺ�ߣshows by User: b_amar / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: b_amar / Tue, 16 May 2017 16:46:35 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: b_amar An improved approach to long tail advertising in sponsored search /slideshow/an-improved-approach-to-long-tail-advertising-in-sponsored-search/76027726 presentation-170516164635
This is the presentation for my work that I presented at DASFAA, 2017 in Suzhou, China.]]>
This is the presentation for my work that I presented at DASFAA, 2017 in Suzhou, China.]]> Tue, 16 May 2017 16:46:35 GMT /slideshow/an-improved-approach-to-long-tail-advertising-in-sponsored-search/76027726 b_amar@slideshare.net(b_amar) An improved approach to long tail advertising in sponsored search b_amar This is the presentation for my work that I presented at DASFAA, 2017 in Suzhou, China. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/presentation-170516164635-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> This is the presentation for my work that I presented at DASFAA, 2017 in Suzhou, China.

An improved approach to long tail advertising in sponsored search from Amar Budhiraja

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0 Sensing topics in Tweets /slideshow/sensing-topics-in-tweets/56875063 sensingtopicsintweets-phase2-160110134614
Semester long project for the first level machine learning course. Aims to detect topics in tweets which present multiple challenge including short length and noisy data.]]>
Semester long project for the first level machine learning course. Aims to detect topics in tweets which present multiple challenge including short length and noisy data.]]> Sun, 10 Jan 2016 13:46:14 GMT /slideshow/sensing-topics-in-tweets/56875063 b_amar@slideshare.net(b_amar) Sensing topics in Tweets b_amar Semester long project for the first level machine learning course. Aims to detect topics in tweets which present multiple challenge including short length and noisy data. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sensingtopicsintweets-phase2-160110134614-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Semester long project for the first level machine learning course. Aims to detect topics in tweets which present multiple challenge including short length and noisy data.

Sensing topics in Tweets from Amar Budhiraja

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0 An Approach to cover more advertisers in Adwords /slideshow/dsaa-presentation-56874924/56874924 cqaqbvwftr6ce1qbronp-signature-75650411a5f64a9eb19a829eb613bfd3a53336ba84fcbd333bf96921be7027c6-poli-160110133805
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]]> Sun, 10 Jan 2016 13:38:05 GMT /slideshow/dsaa-presentation-56874924/56874924 b_amar@slideshare.net(b_amar) An Approach to cover more advertisers in Adwords b_amar <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cqaqbvwftr6ce1qbronp-signature-75650411a5f64a9eb19a829eb613bfd3a53336ba84fcbd333bf96921be7027c6-poli-160110133805-thumbnail.jpg?width=120&height=120&fit=bounds" /><br>

An Approach to cover more advertisers in Adwords from Amar Budhiraja

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0 Computing Social Score of Web Artifacts - IRE Major Project Spring 2015 /slideshow/computing-social-score-of-web-artifacts-major-project/50457625 iremajorproject-150713083406-lva1-app6891
Final Presentation on Computing Social Scores of Web Artifacts - Major Project IRE Spring 2015 Web artifacts are items like news articles, web pages, videos, pinterest pints,tweets or URLs. The task is to find the social score of an artifact (something like popularity). This is quite trivial because it can be done using features like “number of times the item has been shared”, “number of people who like or dislike the item” and so on. The challenge is to find the social score of an item, if it has been shared on multiple places. For example a URL shared on facebook and twitter. For the purpose of this study, we mined tweets and Facebook posts of time frame and created an engine out of SOLR and Lucene to accomplish the desired goals.]]>
Final Presentation on Computing Social Scores of Web Artifacts - Major Project IRE Spring 2015 Web artifacts are items like news articles, web pages, videos, pinterest pints,tweets or URLs. The task is to find the social score of an artifact (something like popularity). This is quite trivial because it can be done using features like “number of times the item has been shared”, “number of people who like or dislike the item” and so on. The challenge is to find the social score of an item, if it has been shared on multiple places. For example a URL shared on facebook and twitter. For the purpose of this study, we mined tweets and Facebook posts of time frame and created an engine out of SOLR and Lucene to accomplish the desired goals.]]> Mon, 13 Jul 2015 08:34:05 GMT /slideshow/computing-social-score-of-web-artifacts-major-project/50457625 b_amar@slideshare.net(b_amar) Computing Social Score of Web Artifacts - IRE Major Project Spring 2015 b_amar Final Presentation on Computing Social Scores of Web Artifacts - Major Project IRE Spring 2015 Web artifacts are items like news articles, web pages, videos, pinterest pints,tweets or URLs. The task is to find the social score of an artifact (something like popularity). This is quite trivial because it can be done using features like “number of times the item has been shared”, “number of people who like or dislike the item” and so on. The challenge is to find the social score of an item, if it has been shared on multiple places. For example a URL shared on facebook and twitter. For the purpose of this study, we mined tweets and Facebook posts of time frame and created an engine out of SOLR and Lucene to accomplish the desired goals. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/iremajorproject-150713083406-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Final Presentation on Computing Social Scores of Web Artifacts - Major Project IRE Spring 2015 Web artifacts are items like news articles, web pages, videos, pinterest pints,tweets or URLs. The task is to find the social score of an artifact (something like popularity). This is quite trivial because it can be done using features like “number of times the item has been shared”, “number of people who like or dislike the item” and so on. The challenge is to find the social score of an item, if it has been shared on multiple places. For example a URL shared on facebook and twitter. For the purpose of this study, we mined tweets and Facebook posts of time frame and created an engine out of SOLR and Lucene to accomplish the desired goals.

Computing Social Score of Web Artifacts - IRE Major Project Spring 2015 from Amar Budhiraja

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0 https://cdn.slidesharecdn.com/profile-photo-b_amar-48x48.jpg?cb=1523696791 Research Student at Data Science and Analytics Center, IIIT-Hyderabad. Passionate towards building intelligent software systems based on data driven decision making and machine learning. Worked towards Social Media Mining and Computational Advertising. Recently published a paper on Sponsored Search to monetize ad space which was other wise being ignored. Author of Numbers and Experiments - https://medium.com/@amarbudhiraja/ Keywords: Big Data, Computational Advertising, Data Mining, Information Retrieval, Machine Learning, Neural Networks, Word Embedding, Deep Neural Networks. http://researchweb.iiit.ac.in/~amar.budhiraja/ https://cdn.slidesharecdn.com/ss_thumbnails/presentation-170516164635-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/an-improved-approach-to-long-tail-advertising-in-sponsored-search/76027726 An improved approach t... https://cdn.slidesharecdn.com/ss_thumbnails/sensingtopicsintweets-phase2-160110134614-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/sensing-topics-in-tweets/56875063 Sensing topics in Tweets https://cdn.slidesharecdn.com/ss_thumbnails/cqaqbvwftr6ce1qbronp-signature-75650411a5f64a9eb19a829eb613bfd3a53336ba84fcbd333bf96921be7027c6-poli-160110133805-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/dsaa-presentation-56874924/56874924 An Approach to cover m...