A survey of user behaviour models for search results ranking
Sergey Nikolenko, Alexander Fishkov · Informatics and Automation · 2014
User behaviour models represent important features used to enhance web search results; they are usually probabilistic models learned from logs of user actions (click logs). We present a survey of modern user behaviour models and review how behaviour models are combined with other features in the ranking function.