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ECOLE SUPÉRIEURE D'ÉLECTRICITÉ Une grande école d'ingénieurs au cœur des sciences de l'information,de l'énergie et des systèmes |
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Conference papers
Organizing Web Search Results Using Clustering By Compression
Abstract : Current Web search engines return long lists of ranked documents that users are forced to sift through to find relevant documents. This paper introduces an interactive presentation method of the search results, based on the notion of clustering by compression. Compression algorithms allow defining a similarity measure based on the degree of common information. Clustering methods allow clustering similar data without any previous knowledge. For this work, we have developed a Java application which retrieves the first 50 results returned by the Google search engine in response to a query, applies some text processing techniques to the Web documents, and thirdly applies the clustering by compression algorithm. The result is a binary tree enhancing the visualization of the formed clusters.
https://hal-supelec.archives-ouvertes.fr/hal-00232719
Contributor : Evelyne Faivre Connect in order to contact the contributor
Submitted on : Friday, February 1, 2008 - 4:03:51 PM
Last modification on : Tuesday, March 30, 2021 - 12:16:04 PM
Contributor : Evelyne Faivre Connect in order to contact the contributor
Submitted on : Friday, February 1, 2008 - 4:03:51 PM
Last modification on : Tuesday, March 30, 2021 - 12:16:04 PM