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» A new algorithm for clustering search results
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WWW
2007
ACM
14 years 6 months ago
A new suffix tree similarity measure for document clustering
In this paper, we propose a new similarity measure to compute the pairwise similarity of text-based documents based on suffix tree document model. By applying the new suffix tree ...
Hung Chim, Xiaotie Deng
WAIM
2007
Springer
13 years 11 months ago
Semantic-Based Grouping of Search Engine Results Using WordNet
Terms used in search queries often have multiple meanings. Consequently, search results corresponding to different meanings may be retrieved, making identifying relevant results in...
Reza Hemayati, Weiyi Meng, Clement T. Yu
IIS
2004
13 years 7 months ago
Lingo: Search Results Clustering Algorithm Based on Singular Value Decomposition
Search results clustering problem is defined as an automatic, on-line grouping of similar documents in a search results list returned from a search engine. In this paper we present...
Stanislaw Osinski, Jerzy Stefanowski, Dawid Weiss
CORR
2011
Springer
197views Education» more  CORR 2011»
13 years 17 days ago
Query Expansion Based on Clustered Results
Query expansion is a functionality of search engines that suggests a set of related queries for a user-issued keyword query. Typical corpus-driven keyword query expansion approach...
Ziyang Liu, Sivaramakrishnan Natarajan, Yi Chen
APWEB
2004
Springer
13 years 11 months ago
Semantic, Hierarchical, Online Clustering of Web Search Results
Today, search engine is the most commonly used tool for Web information retrieval, however, its current status is still far from satisfaction. This paper focuses on clustering Web...
Dell Zhang, Yisheng Dong