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» Using Information Extraction to Improve Document Retrieval
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MM
2006
ACM
217views Multimedia» more  MM 2006»
16 years 21 days 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, ...
ICWE
2004
Springer
16 years 3 days ago
Accelerating Dynamic Web Content Delivery Using Keyword-Based Fragment Detection
The recent trend in the Internet traffic is increasing in requests for dynamic and personalized content. To efficiently serve this trend, several serverside and cache-side fragme...
Daniel Brodie, Amrish Gupta, Weisong Shi
WETICE
1997
IEEE
15 years 11 months ago
Capturing Geometry Rationale for Collaborative Design
When an artifact is designed the typical output consists of documents describing the final result of a long series of deliberations and tradeoffs by the participants of collaborat...
Mark Klein
SIGIR
2008
ACM
15 years 6 months ago
The impact of history length on personalized search
Personalized search is a promising way to better serve different users' information needs. Search history is one of the major information sources for search personalization. ...
Yangbo Zhu, Jamie Callan, Jaime G. Carbonell
ANLP
1994
97views more  ANLP 1994»
15 years 8 months ago
Recycling Terms into a Partial Parser
Both full-text information retrieval and large scale parsing require text preprocessing to identify strong lexical associations in textual databases. In order to associate linguis...
Christian Jacquemin