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» Using Induction to Refine Information Retrieval Strategies
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ACMICEC
2007
ACM
154views ECommerce» more  ACMICEC 2007»
13 years 11 months ago
Learning and adaptivity in interactive recommender systems
Recommender systems are intelligent E-commerce applications that assist users in a decision-making process by offering personalized product recommendations during an interaction s...
Tariq Mahmood, Francesco Ricci
PRL
2008
143views more  PRL 2008»
13 years 7 months ago
An active feedback framework for image retrieval
In recent years, relevance feedback has been studied extensively as a way to improve performance of content-based image retrieval (CBIR). Since users are usually unwilling to prov...
Tao Qin, Xu-Dong Zhang, Tie-Yan Liu, De-Sheng Wang...
KDD
2007
ACM
192views Data Mining» more  KDD 2007»
14 years 8 months ago
Active exploration for learning rankings from clickthrough data
We address the task of learning rankings of documents from search engine logs of user behavior. Previous work on this problem has relied on passively collected clickthrough data. ...
Filip Radlinski, Thorsten Joachims
CLEF
2007
Springer
14 years 1 months ago
Domain-Specific IR for German, English and Russian Languages
In participating in this CLEF evaluation campaign, our first objective is to propose and evaluate various indexing and search strategies for the Russian language, in order to obta...
Claire Fautsch, Ljiljana Dolamic, Samir Abdou, Jac...
CIKM
2009
Springer
14 years 2 months ago
Inverted indexes vs. bitmap indexes in decision support systems
Bitmap indexes are widely used in Decision Support Systems (DSSs) to improve query performance. In this paper, we evaluate the use of compressed inverted indexes with adapted quer...
Truls A. Bjørklund, Nils Grimsmo, Johannes ...