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» Clustering of Search Engine Keywords Using Access Logs
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CIKM
2006
Springer
14 years 2 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
MM
2006
ACM
217views Multimedia» more  MM 2006»
14 years 4 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, ...
SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
14 years 10 months ago
Keyword search on structured and semi-structured data
Empowering users to access databases using simple keywords can relieve the users from the steep learning curve of mastering a structured query language and understanding complex a...
Yi Chen, Wei Wang 0011, Ziyang Liu, Xuemin Lin
CIKM
2008
Springer
14 years 10 days ago
Mining term association patterns from search logs for effective query reformulation
Search engine logs are an emerging new type of data that offers interesting opportunities for data mining. Existing work on mining such data has mostly attempted to discover knowl...
Xuanhui Wang, ChengXiang Zhai
CIKM
2009
Springer
14 years 5 months ago
Applying differential privacy to search queries in a policy based interactive framework
Web search logs are of growing importance to researchers as they help understanding search behavior and search engine performance. However, search logs typically contain sensitive...
Palanivel Balaji Kodeswaran, Evelyne Viegas