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» Learning to rank for information retrieval (LR4IR 2008)
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IRI
2008
IEEE
16 years 18 days ago
A conflict-based confidence measure for associative classification
Associative classification has aroused significant attention recently and achieved promising results. In the rule ranking process, the confidence measure is usually used to sort t...
Peerapon Vateekul, Mei-Ling Shyu
BMCBI
2008
105views more  BMCBI 2008»
15 years 6 months ago
Objective and automated protocols for the evaluation of biomedical search engines using No Title Evaluation protocols
Background: The evaluation of information retrieval techniques has traditionally relied on human judges to determine which documents are relevant to a query and which are not. Thi...
Fabien Campagne
IUI
2003
ACM
15 years 11 months ago
Adapting to the user's internet search strategy on small devices
World Wide Web search engines typically return thousands of results to the users. To avoid users browsing through the whole list of results, search engines use ranking algorithms ...
Jean-David Ruvini
KDD
2006
ACM
167views Data Mining» more  KDD 2006»
16 years 6 months ago
Identifying "best bet" web search results by mining past user behavior
The top web search result is crucial for user satisfaction with the web search experience. We argue that the importance of the relevance at the top position necessitates special h...
Eugene Agichtein, Zijian Zheng
AIRWEB
2008
Springer
15 years 8 months ago
Robust PageRank and locally computable spam detection features
Since the link structure of the web is an important element in ranking systems on search engines, web spammers widely use the link structure of the web to increase the rank of the...
Reid Andersen, Christian Borgs, Jennifer T. Chayes...