Improving Query Search Results by Using Click Patterns

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Provided by: International Journal of Innovations in Engineering and Technology (IJIET)
Topic: Big Data
Format: PDF
Understanding user search intent is critical component of modern search engines. A key limitation made by most query log analyses is the assumption that each clicked web result represents unique intent. However, there are many search tasks, where user intent is to explore many documents. In these cases, the assumption of a one to one co-occurrence between clicked documents and user intent breaks down. To capture and understand such behaviors, the authors propose the use of click patterns. Click patterns capture the relationship among clicks on search results by treating the set of clicks made by a user as a single unit.
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