A Large Scale Query Logs Analysis for Assessing Personalization Opportunities in E-commerce Sites
نویسندگان
چکیده
Personalization offers the promise of improving online search and shopping experience. In this work, we perform a large scale analysis on the sample of eBay query logs, which involves 9.24 billion session data spanning 12 months (08/201207/2013) and address the following topics (1) What user information is useful for personalization; (2) Importance of per-query personalization (3) Importance of recency in query prediction. In this paper, we study these problems and provide some preliminary conclusions.
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