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» Improving Web Search Relevance with Semantic Features
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MM
2006
ACM
217views Multimedia» more  MM 2006»
14 years 2 months ago
IGroup: a web image search engine with semantic clustering of search results
In this demo, we present IGroup, a Web image search engine that organizes the search results into semantic clusters. Different from all existing Web image search results clusterin...
Feng Jing, Changhu Wang, Yuhuan Yao, Kefeng Deng, ...
CIKM
2009
Springer
13 years 9 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 ...
LREC
2008
139views Education» more  LREC 2008»
13 years 10 months ago
Experiments to Investigate the Connection between Case Distribution and Topical Relevance of Search Terms in an Information Retr
We have performed a set of experiments made to investigate the utility of morphological analysis to improve retrieval of documents written in languages with relatively large morph...
Jussi Karlgren, Hercules Dalianis, Bart Jongejan
CIKM
2008
Springer
13 years 10 months ago
Searching the wikipedia with contextual information
We propose a framework for searching the Wikipedia with contextual information. Our framework extends the typical keyword search, by considering queries of the type q, p , where q...
Antti Ukkonen, Carlos Castillo, Debora Donato, Ari...
CLEF
2007
Springer
14 years 2 months ago
Using Pseudo-Relevance Feedback to Improve Image Retrieval Results
In this paper, we propose a pseudo-relevance feedback method to deal with the photographic retrieval and medical retrieval tasks of ImageCLEF 2007. The aim of our participation to...
Mouna Torjmen, Karen Pinel-Sauvagnat, Mohand Bough...