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» Semantic based clustering of Web documents
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WEBDB
2007
Springer
162views Database» more  WEBDB 2007»
14 years 1 months ago
Term Ranking for Clustering Web Search Results
Clustering web search engine results for ambiguous keyword searches poses unique challenges. First, we show that one cannot readily import the frequency based feature ranking to c...
Fatih Gelgi, Hasan Davulcu, Srinivas Vadrevu
WEBI
2005
Springer
14 years 29 days ago
A Method of Web Search Result Clustering Based on Rough Sets
Due to the enormous size of the web and low precision of user queries, finding the right information from the web can be difficult if not impossible. One approach that tries to ...
Chi Lang Ngo, Hung Son Nguyen
KDD
2009
ACM
243views Data Mining» more  KDD 2009»
14 years 8 months ago
Exploiting Wikipedia as external knowledge for document clustering
In traditional text clustering methods, documents are represented as "bags of words" without considering the semantic information of each document. For instance, if two ...
Xiaohua Hu, Xiaodan Zhang, Caimei Lu, E. K. Park, ...
ECIR
2006
Springer
13 years 9 months ago
Clustering-Based Searching and Navigation in an Online News Source
The growing amount of online news posted on the WWW demands new algorithms that support topic detection, search, and navigation of news documents. This work presents an algorithm f...
Simón C. Smith, M. Andrea Rodríguez
KDD
2005
ACM
180views Data Mining» more  KDD 2005»
14 years 29 days ago
Information retrieval based on collaborative filtering with latent interest semantic map
In this paper, we propose an information retrieval model called Latent Interest Semantic Map (LISM), which features retrieval composed of both Collaborative Filtering(CF) and Prob...
Noriaki Kawamae, Katsumi Takahashi