Web document clustering: a feasibility demonstration
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Grouper: a dynamic clustering interface to Web search results
WWW '99 Proceedings of the eighth international conference on World Wide Web
Information Retrieval
WWW '03 Proceedings of the 12th international conference on World Wide Web
A Concept-Driven Algorithm for Clustering Search Results
IEEE Intelligent Systems
A new algorithm for clustering search results
Data & Knowledge Engineering
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The paper describes the Noodles system, a clustering engine for Web and desktop searches. By employing a new algorithm for document clustering, based on Latent Semantic Indexing, Noodles provides good classification power to simplify browsing of search results by casual users. In the paper, we provide some background about the problem of clustering search results, give an overview of the novel techniques implemented in the system, and present its architecture and main features.