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KDD
2005
ACM
218views Data Mining» more  KDD 2005»
14 years 7 months ago
A maximum entropy web recommendation system: combining collaborative and content features
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
SIGIR
2005
ACM
14 years 27 days ago
Automated evaluation of search engine performance via implicit user feedback
Measuring the information retrieval effectiveness of Web search engines can be expensive if human relevance judgments are required to evaluate search results. Using implicit user ...
Himanshu Sharma, Bernard J. Jansen
RECSYS
2010
ACM
13 years 7 months ago
Recommending twitter users to follow using content and collaborative filtering approaches
Recently the world of the web has become more social and more real-time. Facebook and Twitter are perhaps the exemplars of a new generation of social, real-time web services and w...
John Hannon, Mike Bennett, Barry Smyth
CIKM
2010
Springer
13 years 6 months ago
Building recommendation systems using peer-to-peer shared content
Peer-to-Peer (p2p) networks are used for sharing content by millions of users. Often, meta-data used for searching is missing or wrong, making it difficult for users to find cont...
Yuval Shavitt, Ela Weinsberg, Udi Weinsberg
WEBI
2007
Springer
14 years 1 months ago
Question Answering over Implicitly Structured Web Content
Implicitly structured content on the Web such as HTML tables and lists can be extremely valuable for web search, question answering, and information retrieval, as the implicit str...
Eugene Agichtein, Chris Burges, Eric Brill