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» Learning to rank for information retrieval
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VLDB
2004
ACM
117views Database» more  VLDB 2004»
15 years 11 months ago
Discovering and Ranking Semantic Associations over a Large RDF Metabase
Information retrieval over semantic metadata has recently received a great amount of interest in both industry and academia. In particular, discovering complex and meaningful rela...
Christian Halaschek-Wiener, Boanerges Aleman-Meza,...
NIPS
2008
15 years 7 months ago
Empirical performance maximization for linear rank statistics
The ROC curve is known to be the golden standard for measuring performance of a test/scoring statistic regarding its capacity of discrimination between two populations in a wide v...
Stéphan Clémençon, Nicolas Va...
JUCS
2002
120views more  JUCS 2002»
15 years 6 months ago
Instance Cooperative Memory to Improve Query Expansion in Information Retrieval Systems
The main goal of this research is to improve Information Retrieval Systems by enabling them to generate search outcomes that are relevant and customized to each specific user. Our ...
Lobna Jeribi, Béatrice Rumpler
AIRS
2009
Springer
16 years 1 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
15 years 5 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...