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» Query Refinement based on Topical Term Clustering
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DEXAW
2008
IEEE
373views Database» more  DEXAW 2008»
14 years 2 months ago
Topic Detection by Clustering Keywords
We consider topic detection without any prior knowledge of category structure or possible categories. Keywords are extracted and clustered based on different similarity measures u...
Christian Wartena, Rogier Brussee
MM
2006
ACM
175views Multimedia» more  MM 2006»
14 years 1 months ago
Diversifying the image retrieval results
In the area of image retrieval, post-retrieval processing is often used to refine the retrieval results to better satisfy users’ requirements. Previous methods mainly focus on p...
Kai Song, YongHong Tian, Wen Gao, Tiejun Huang
WWW
2007
ACM
14 years 8 months ago
Query topic detection for reformulation
In this paper, we show that most multiple term queries include more than one topic and users usually reformulate their queries by topics instead of terms. In order to provide empi...
Xuefeng He, Jun Yan, Jinwen Ma, Ning Liu, Zheng Ch...
JILT
2000
96views more  JILT 2000»
13 years 7 months ago
Automatic Classification and Intelligent Clustering for WWWeb Information Retrieval Systems
In this paper we present some aspects of an intelligent interface for a WWWeb legal information retrieval system. Our system is able to keep the context of the user interaction in...
Paulo Quaresma, Irene Pimenta Rodrigues
WWW
2004
ACM
14 years 8 months ago
Query and content suggestion based on latent interest and topic class
To improve the process of user information retrieval, we propose the concept of a latent semantic map (LSM), along with a method of generating this map. The novel aspect of the LS...
Noriaki Kawaeme, Hideaki Suzuki, Osamu Mizuno