This study examines web query types and topics submitted to Nav er during one year period by analyzing query logs and click logs. Query logs capture queries users submited to the system, and click logs consist of documents users clicked and viewed. This study presents a methodology to s is also suggested. When classified by query types, there are more site search queries than content search queries. Queries about computer/internet, entertainment, shopping, game, education rank hightest. The implications for system designers and web content providers are discussed.
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