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WSDM
2010
ACM
261views Data Mining» more  WSDM 2010»
14 years 7 months ago
Learning Similarity Metrics for Event Identification in Social Media
Social media sites (e.g., Flickr, YouTube, and Facebook) are a popular distribution outlet for users looking to share their experiences and interests on the Web. These sites host ...
Hila Becker, Mor Naaman, Luis Gravano
WSDM
2010
ACM
227views Data Mining» more  WSDM 2010»
14 years 7 months ago
Folks in folksonomies: Social link prediction from shared metadata
Web 2.0 applications have attracted a considerable amount of attention because their open-ended nature allows users to create lightweight semantic scaffolding to organize and shar...
Rossano Schifanella, Alain Barrat, Ciro Cattuto, B...
WSDM
2010
ACM
1328views Data Mining» more  WSDM 2010»
14 years 7 months ago
TwitterRank: Finding Topic-sensitive Influential Twitterers
This paper focuses on the problem of identifying influential users of micro-blogging services. Twitter, one of the most notable micro-blogging services, employs a social-networkin...
Jianshu Weng, Ee-peng Lim, Jing Jiang, Qi He
WSDM
2010
ACM
160views Data Mining» more  WSDM 2010»
14 years 7 months ago
Learning Concept Importance Using a Weighted Dependence Model
Modeling query concepts through term dependencies has been shown to have a significant positive effect on retrieval performance, especially for tasks such as web search, where rel...
Michael Bendersky, Donald Metzler, W. Bruce Croft
WSDM
2010
ACM
194views Data Mining» more  WSDM 2010»
14 years 7 months ago
Ranking with Query-Dependent Loss for Web Search
Queries describe the users' search intent and therefore they play an essential role in the context of ranking for information retrieval and Web search. However, most of exist...
Jiang Bian, Tie-Yan Liu, Tao Qin, Hongyuan Zha