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 Erel Uziel

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Bibliometrics: publication history
Average citations per article33.88
Citation Count271
Publication count8
Publication years2009-2013
Available for download7
Average downloads per article1,802.86
Downloads (cumulative)12,620
Downloads (12 Months)481
Downloads (6 Weeks)64
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8 results found Export Results: bibtexendnoteacmrefcsv

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1
July 2013 IEEE Transactions on Visualization and Computer Graphics: Volume 19 Issue 7, July 2013
Publisher: IEEE Educational Activities Department
Bibliometrics:
Citation Count: 1

As people continue to author and share increasing amounts of information in social media, the opportunity to leverage such information for relationship discovery tasks increases. In this paper, we describe a set of systems that mine, aggregate, and infer a social graph from social media inside an enterprise, resulting in ...
Keywords: Social network services,Visual analytics,Tagging,Data visualization,Blogs,Databases,social visualization,Information discovery,social networks,social data mining

2 published by ACM
September 2012 ACM Transactions on Intelligent Systems and Technology (TIST): Volume 3 Issue 4, September 2012
Publisher: ACM
Bibliometrics:
Citation Count: 7
Downloads (6 Weeks): 3,   Downloads (12 Months): 21,   Downloads (Overall): 455

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In this work we study the task of term extraction for word cloud generation in sparsely tagged domains, in which manual tags are scarce. We present a folksonomy-based term extraction method, called tag-boost , which boosts terms that are frequently used by the public to tag content. Our experiments with ...
Keywords: Tag-cloud generation, tag-boost, keyword extraction

3 published by ACM
October 2011 CIKM '11: Proceedings of the 20th ACM international conference on Information and knowledge management
Publisher: ACM
Bibliometrics:
Citation Count: 4
Downloads (6 Weeks): 3,   Downloads (12 Months): 4,   Downloads (Overall): 230

Full text available: PDFPDF
In this work we study the task of term extraction for word cloud generation. We present a folksonomy-based term extraction method, called tag-boost, which boosts terms that are frequently used by the public to tag content. Our experiments with tag-boost-based term extraction over different domains demonstrate tremendous improvement in word ...
Keywords: tag-boost, term extraction, word-cloud generation

4 published by ACM
July 2010 SIGIR '10: Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 75
Downloads (6 Weeks): 25,   Downloads (12 Months): 231,   Downloads (Overall): 4,220

Full text available: PDFPDF
We study personalized item recommendation within an enterprise social media application suite that includes blogs, bookmarks, communities, wikis, and shared files. Recommendations are based on two of the core elements of social media - people and tags. Relationship information among people, tags, and items, is collected and aggregated across different ...
Keywords: collaborative tagging, personalization, recommender systems, social media, social networks, social software

5 published by ACM
February 2010 CSCW '10: Proceedings of the 2010 ACM conference on Computer supported cooperative work
Publisher: ACM
Bibliometrics:
Citation Count: 21
Downloads (6 Weeks): 6,   Downloads (12 Months): 36,   Downloads (Overall): 1,438

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In this work we examine nine different sources for user similarity as reflected by activity in social media applications. We suggest a classification of these sources into three categories: people, things, and places. Lists of similar people returned by the nine sources are found to be highly different from each ...
Keywords: social media, social networks, social software, user similarity

6 published by ACM
November 2009 CIKM '09: Proceedings of the 18th ACM conference on Information and knowledge management
Publisher: ACM
Bibliometrics:
Citation Count: 72
Downloads (6 Weeks): 8,   Downloads (12 Months): 86,   Downloads (Overall): 2,703

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This work investigates personalized social search based on the user's social relations -- search results are re-ranked according to their relations with individuals in the user's social network. We study the effectiveness of several social network types for personalization: (1) Familiarity-based network of people related to the user through explicit ...
Keywords: personalization, social networks, social search

7 published by ACM
October 2009 RecSys '09: Proceedings of the third ACM conference on Recommender systems
Publisher: ACM
Bibliometrics:
Citation Count: 74
Downloads (6 Weeks): 12,   Downloads (12 Months): 81,   Downloads (Overall): 2,772

Full text available: PDFPDF
We study personalized recommendation of social software items, including bookmarked web-pages, blog entries, and communities. We focus on recommendations that are derived from the user's social network. Social network information is collected and aggregated across different data sources within our organization. At the core of our research is a comparison ...
Keywords: personalization, social software, social media, recommender systems, social networks

8 published by ACM
July 2009 SIGIR '09: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 15
Downloads (6 Weeks): 4,   Downloads (12 Months): 30,   Downloads (Overall): 775

Full text available: PdfPdf
Keywords: social network, enterprise search, social search



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