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Extracting User Interests from Search Query Logs: A Clustering Approach

10 years 3 months ago
Extracting User Interests from Search Query Logs: A Clustering Approach
-- 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. Keywords-Query terms Taxonomy, log analysis, clustering
Lyes Limam, David Coquil, Harald Kosch, Lionel Bru
Added 08 Nov 2010
Updated 08 Nov 2010
Type Conference
Year 2010
Where DEXAW
Authors Lyes Limam, David Coquil, Harald Kosch, Lionel Brunie
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