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» Learning to rank for information retrieval
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AAAI
2008
15 years 8 months ago
Concept-Based Feature Generation and Selection for Information Retrieval
Traditional information retrieval systems use query words to identify relevant documents. In difficult retrieval tasks, however, one needs access to a wealth of background knowled...
Ofer Egozi, Evgeniy Gabrilovich, Shaul Markovitch
IPM
2008
114views more  IPM 2008»
15 years 6 months ago
User-assisted query translation for interactive cross-language information retrieval
Interactive Cross-Language Information Retrieval (CLIR), a process in which searcher and system collaborate to find documents that satisfy an information need regardless of the la...
Douglas W. Oard, Daqing He, Jianqiang Wang
CLEF
2004
Springer
15 years 11 months ago
From Text to Image: Generating Visual Query for Image Retrieval
In this paper, we explore the help of visual features to cross-language image retrieval. We propose an approach that transforms textual queries into visual representations. The re...
Wen-Cheng Lin, Yih-Chen Chang, Hsin-Hsi Chen
CIKM
2010
Springer
15 years 4 months ago
Utilizing re-finding for personalized information retrieval
Individuals often use search engines to return to web pages they have previously visited. This behaviour, called refinding, accounts for about 38% of all queries. While researcher...
Sarah K. Tyler, Jian Wang, Yi Zhang 0001
WWW
2009
ACM
16 years 1 months ago
Ranking user-created contents by search user's inclination in online communities
Searching posts effectively has become an important issue in large-scale online communities. Especially, if search users have different inclinations when they search posts, they h...
Hyoseop Shin, Jeehoon Lee