Incorporating Non-sequential Behavior into Click Models

  title={Incorporating Non-sequential Behavior into Click Models},
  author={Chao Wang and Yiqun Liu and Meng Wang and Ke Zhou and Jian-Yun Nie and Shaoping Ma},
Click-through information is considered as a valuable source of users' implicit relevance feedback. As user behavior is usually influenced by a number of factors such as position, presentation style and site reputation, researchers have proposed a variety of assumptions (i.e.~click models) to generate a reasonable estimation of result relevance. The construction of click models usually follow some hypotheses. For example, most existing click models follow the sequential examination hypothesis… CONTINUE READING

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