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» Improving Web Search Relevance with Semantic Features
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WWW
2009
ACM
14 years 9 months ago
Is there anything worth finding on the semantic web?
There has recently been an upsurge of interest in the possibilities of combining structured data and ad-hoc information retrieval from traditional hypertext. In this experiment, w...
Harry Halpin
WWW
2011
ACM
13 years 3 months ago
Factal: integrating deep web based on trust and relevance
We demonstrate Factal—a system for integrating deep web sources. Factal is based on the recently introduced source selection method SourceRank; which is a measure of trust and r...
Raju Balakrishnan, Subbarao Kambhampati
CIKM
2008
Springer
13 years 10 months ago
Learning latent semantic relations from clickthrough data for query suggestion
For a given query raised by a specific user, the Query Suggestion technique aims to recommend relevant queries which potentially suit the information needs of that user. Due to th...
Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu
NIPS
2007
13 years 10 months ago
Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks
We propose a model that leverages the millions of clicks received by web search engines to predict document relevance. This allows the comparison of ranking functions when clicks ...
Ben Carterette, Rosie Jones
MM
2006
ACM
164views Multimedia» more  MM 2006»
14 years 2 months ago
Scalable relevance feedback using click-through data for web image retrieval
Relevance feedback (RF) has been extensively studied in the content-based image retrieval community. However, no commercial Web image search engines support RF because of scalabil...
En Cheng, Feng Jing, Lei Zhang, Hai Jin