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» Adaptive Clustering of Search Results
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IPM
2002
92views more  IPM 2002»
13 years 7 months ago
The effectiveness of query-specific hierarchic clustering in information retrieval
Hierarchic document clustering has been widely applied to Information Retrieval (IR) on the grounds of its potential improved effectiveness over inverted file search. However, pre...
Anastasios Tombros, Robert Villa, C. J. van Rijsbe...
HT
1996
ACM
13 years 12 months ago
HyPursuit: A Hierarchical Network Search Engine that Exploits Content-Link Hypertext Clustering
HyPursuit is a new hierarchical network search engine that clusters hypertext documents to structure a given information space for browsing and search activities. Our content-link...
Ron Weiss, Bienvenido Vélez, Mark A. Sheldo...
WWW
2009
ACM
14 years 8 months ago
An axiomatic approach for result diversification
Understanding user intent is key to designing an effective ranking system in a search engine. In the absence of any explicit knowledge of user intent, search engines want to diver...
Sreenivas Gollapudi, Aneesh Sharma
ICPR
2008
IEEE
14 years 2 months ago
Adaptive selection of non-target cluster centers for K-means tracker
Hua et al. have proposed a stable and efficient tracking algorithm called “K-means tracker”[2, 3, 5]. This paper describes an adaptive non-target cluster center selection met...
Hiroshi Oike, Haiyuan Wu, Toshikazu Wada
ITCC
2002
IEEE
14 years 19 days ago
Taxonomy-based Adaptive Web Search Method
Current crawler-based search engines usually return a long list of search results containing a lot of noise documents. By indexing collected documents on topic path in taxonomy, t...
Said Mirza Pahlevi, Hiroyuki Kitagawa