Extracting User Interests From Search Query Logs: A Clustering Approach

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Provided by: University of Paris-Sud 11
Topic: Big Data
Format: PDF
In this paper, the authors propose to enhance search query log analysis by taking into account the semantic properties of query terms. They first describe a method for extracting a global semantic representation of a search query log and then show how they 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 semantic relations and of a function to measure the semantic distance between terms.
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