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

• Type: Conference
• Year: 2010
• Where: DEXAW
• Authors: Lyes Limam, David Coquil, Harald Kosch, Lionel Brunie
• Keywords: Database, DEXAW 2010, Query Terms, Search Query Log, Semantic