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» Swarming to rank for information retrieval
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AIRS
2009
Springer
14 years 3 months ago
Language Models of Collaborative Filtering
Abstract. Collaborative filtering is a major technique to make personalized recommendations about information items (movies, books, webpages etc) to individual users. In the liter...
Jun Wang
CIKM
2010
Springer
13 years 7 months ago
Context modeling for ranking and tagging bursty features in text streams
Bursty features in text streams are very useful in many text mining applications. Most existing studies detect bursty features based purely on term frequency changes without takin...
Wayne Xin Zhao, Jing Jiang, Jing He, Dongdong Shan...
SIGIR
2008
ACM
13 years 9 months ago
Discriminative probabilistic models for passage based retrieval
The approach of using passage-level evidence for document retrieval has shown mixed results when it is applied to a variety of test beds with different characteristics. One main r...
Mengqiu Wang, Luo Si
WWW
2010
ACM
14 years 4 months ago
SpotRank: a robust voting system for social news websites
In a social news website people share content they found on the web, called news, then vote for those they like the most. Voting for a news is then considered as a recommendation,...
Thomas Largillier, Guillaume Peyronnet, Sylvain Pe...
SIGIR
2003
ACM
14 years 2 months ago
On the effectiveness of evaluating retrieval systems in the absence of relevance judgments
Soboroff, Nicholas and Cahan recently proposed a method for evaluating the performance of retrieval systems without relevance judgments. They demonstrated that the system evaluat...
Javed A. Aslam, Robert Savell