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» Learning to rank for information retrieval
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WWW
2009
ACM
16 years 7 months ago
Ranking community answers via analogical reasoning
Due to the lexical gap between questions and answers, automatically detecting right answers becomes very challenging for community question-answering sites. In this paper, we prop...
Xudong Tu, Xin-Jing Wang, Dan Feng, Lei Zhang
RECSYS
2010
ACM
15 years 6 months ago
Group recommendations with rank aggregation and collaborative filtering
The majority of recommender systems are designed to make recommendations for individual users. However, in some circumstances the items to be selected are not intended for persona...
Linas Baltrunas, Tadas Makcinskas, Francesco Ricci
CIKM
2006
Springer
15 years 10 months ago
Incorporating query difference for learning retrieval functions in world wide web search
We discuss information retrieval methods that aim at serving a diverse stream of user queries such as those submitted to commercial search engines. We propose methods that emphasi...
Hongyuan Zha, Zhaohui Zheng, Haoying Fu, Gordon Su...
SIGIR
2003
ACM
15 years 11 months ago
Implicit link analysis for small web search
Current Web search engines generally impose link analysis-based re-ranking on web-page retrieval. However, the same techniques, when applied directly to small web search such as i...
Gui-Rong Xue, Hua-Jun Zeng, Zheng Chen, Wei-Ying M...
IRI
2005
IEEE
15 years 12 months ago
A lattice framework for reusing top-k query results
Abstract)",4th Annual Walter Lincoln Hawkins Research Conference, RPI, November 2005. B. Hill, \Correlated Caching for Correlated Data", 2nd Annual Walter Lincoln Hawkins...
Brandeis Hill