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Extracting User Interests from Search Query Logs: A Clustering Approach

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4 Author(s)
Limam, L. ; Fak. fur Math. und Inf., Univ. Passau, Passau, Germany ; Coquil, D. ; Kosch, Harald ; Brunie, L.

This paper proposes to enhance search query log analysis by taking into account the semantic properties of query terms. We first describe a method for extracting a global semantic representation of a search query log and then show how we can use it to semantically extract the user interests. The global representation is composed of a taxonomy that organizes query terms based on generalization/specialization (“is a”) semantic relations and of a function to measure the semantic distance between terms. We then define a query terms clustering algorithm that is applied to the log representation to extract user interests. The evaluation has been done on large real-life logs of a popular search engine.

Published in:

Database and Expert Systems Applications (DEXA), 2010 Workshop on

Date of Conference:

Aug. 30 2010-Sept. 3 2010

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