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» Elicitation and use of relevance feedback information
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86
Voted
CIKM
2008
Springer
14 years 11 months ago
Passage relevance models for genomics search
We present a passage relevance model for integrating syntactic and semantic evidence of biomedical concepts and topics using a probabilistic graphical model. Component models of t...
Jay Urbain, Ophir Frieder, Nazli Goharian
CIKM
2007
Springer
15 years 3 months ago
Query expansion using probabilistic local feedback with application to multimedia retrieval
As one of the most effective query expansion approaches, local feedback is able to automatically discover new query terms and improve retrieval accuracy for different retrieval ...
Rong Yan, Alexander G. Hauptmann
80
Voted
CIKM
2006
Springer
15 years 1 months ago
Re-ranking search results using query logs
This work addresses two common problems in search, frequently occurring with underspecified user queries: the top-ranked results for such queries may not contain documents relevan...
Ziming Zhuang, Silviu Cucerzan
WEBI
2010
Springer
14 years 7 months ago
Let's Trust Users It is Their Search
The current search engine model considers users not trustworthy, so no tools are provided to let them specify what they are looking for or in what context, which severely limits wh...
Pavel Kalinov, Bela Stantic, Abdul Sattar
95
Voted
CIKM
2009
Springer
14 years 10 months ago
Improving search engines using human computation games
Work on evaluating and improving the relevance of web search engines typically use human relevance judgments or clickthrough data. Both these methods look at the problem of learni...
Hao Ma, Raman Chandrasekar, Chris Quirk, Abhishek ...