Incorporating post-click behaviors into a click model

  title={Incorporating post-click behaviors into a click model},
  author={Feimin Zhong and Xiaoyang Tan and Gang Wang and Weizhu Chen and Yuchen Zhang and Zheng Chen and Haixun Wang},
Much work has attempted to model a user's click-through behavior by mining the click logs. The task is not trivial due to the well-known position bias problem. Some break-throughs have been made: two newly proposed click models, DBN and CCM, addressed this problem and improved document relevance estimation. However, to further improve the estimation, we need a model that can capture more sophisticated user behaviors. In particular, after clicking a search result, a user's behavior (such as the… CONTINUE READING
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