Can search systems detect users' task difficulty?: some behavioral signals

Authors:
Jingjing Liu;Chang Liu;Jacek Gwizdka;Nicholas J. Belkin
Affiliations:
Rutgers University, New Brunswick, NJ, USA;Rutgers University, New Brunswick, NJ, USA;Rutgers University, New Brunswick, NJ, USA;Rutgers University, New Brunswick, NJ, USA
Venue:
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Year:
2010

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Abstract

In this paper, we report findings on how user behaviors vary in tasks with different difficulty levels as well as of different types. Two behavioral signals: document dwell time and number of content pages viewed per query, were found to be able to help the system detect when users are working with difficult tasks.