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2010
ACM

Beyond DCG: user behavior as a predictor of a successful search

10 years 6 months ago
Beyond DCG: user behavior as a predictor of a successful search
Web search engines are traditionally evaluated in terms of the relevance of web pages to individual queries. However, relevance of web pages does not tell the complete picture, since an individual query may represent only a piece of the user’s information need and users may have different information needs underlying the same queries. We address the problem of predicting user search goal success by modeling user behavior. We show empirically that user behavior alone can give an accurate picture of the success of the user’s web search goals, without considering the relevance of the documents displayed. In fact, our experiments show that models using user behavior are more predictive of goal success than those using document relevance. We build novel sequence models incorporating time distributions for this task and our experiments show that the sequence and time distribution models are more accurate than static models based on user behavior, or predictions based on document releva...
Ahmed Hassan, Rosie Jones, Kristina Lisa Klinkner
Added 18 May 2010
Updated 18 May 2010
Type Conference
Year 2010
Where WSDM
Authors Ahmed Hassan, Rosie Jones, Kristina Lisa Klinkner
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