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» Clustering e-commerce search engines
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TREC
2004
13 years 8 months ago
Using Clustering and Blade Clusters in the Terabyte Task
Web search engines exploit conjunctive queries and special ranking criteria which differ from the disjunctive queries typically used for ad-hoc retrieval. We wanted to asses the e...
Giuseppe Attardi, Andrea Esuli, Chirag Patel
IIS
2004
13 years 9 months ago
Conceptual Clustering Using Lingo Algorithm: Evaluation on Open Directory Project Data
Search results clustering problem is defined as an automatic, on-line grouping of similar documents in a search hits list, returned from a search engine. In this paper we present t...
Stanislaw Osinski, Dawid Weiss
WEBI
2005
Springer
14 years 29 days ago
Standardized Evaluation Method for Web Clustering Results
Finding a set of web pages relevant to a user’s information goal is difficult due to the enormous size of the Internet. Search engines are able to find a set of pages that mat...
Daniel Crabtree, Xiaoying Gao, Peter Andreae
ESWS
2007
Springer
13 years 9 months ago
SWHi System Description: A Case Study in Information Retrieval, Inference, and Visualization in the Semantic Web
Abstract. Search engines have become the most popular tools for finding information on the Internet. A real-world Semantic Web application can benefit from this by combining its ...
Ismail Fahmi, Junte Zhang, Henk Ellermann, Gosse B...
WEBNET
1998
13 years 8 months ago
Web-Specific Genre Visualization
: User interfaces to WWW search engines typically present results as ranked lists of documents. Such lists give users little help in understanding document variation: we propose a ...
Ivan Bretan, Johan Dewe, Anders Hallberg, Niklas W...