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» A General Language Model for Information Retrieval
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SIGIR
2012
ACM
13 years 9 months ago
BReK12: a book recommender for K-12 users
Ideally, students in K-12 grade levels can turn to book recommenders to locate books that match their interests. Existing book recommenders, however, fail to take into account the...
Maria Soledad Pera, Yiu-Kai Ng
CIKM
2007
Springer
16 years 21 days ago
Utilizing a geometry of context for enhanced implicit feedback
Implicit feedback algorithms utilize interaction between searchers and search systems to learn more about users’ needs and interests than expressed in query statements alone. Th...
Massimo Melucci, Ryen W. White
WWW
2010
ACM
15 years 10 months ago
Diversifying landmark image search results by learning interested views from community photos
In this paper, we demonstrate a novel landmark photo search and browsing system, Agate, which ranks landmark image search results considering their relevance, diversity and qualit...
Yuheng Ren, Mo Yu, Xin-Jing Wang, Lei Zhang, Wei-Y...
SIGIR
2006
ACM
16 years 14 days ago
Learning user interaction models for predicting web search result preferences
Evaluating user preferences of web search results is crucial for search engine development, deployment, and maintenance. We present a real-world study of modeling the behavior of ...
Eugene Agichtein, Eric Brill, Susan T. Dumais, Rob...
CORR
2010
Springer
128views Education» more  CORR 2010»
15 years 6 months ago
TAGME: on-the-fly annotation of short text fragments (by Wikipedia entities)
We designed and implemented Tagme, a system that is able to efficiently and judiciously augment a plain-text with pertinent hyperlinks to Wikipedia pages. The specialty of Tagme w...
Paolo Ferragina, Ugo Scaiella