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Trudy SPIIRAN, 2012, Issue 22, Pages 139–175 (Mi trspy525)  
A survey of user behaviour models for search results ranking

S. I. Nikolenkoab, A. A. Fishkovc

a St. Petersburg Department of V. A. Steklov Institute of Mathematics, Russian Academy of Sciences
b St. Petersburg Academic University — Nanotechnology Research and Education Centre of the Russian Academy of Sciences (the Academic University)
c Saint-Petersburg State Polytechnical University
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Abstract: 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.
Keywords: user behaviour models, probabilistic graphical models, boosting.
Received: 18.06.2012
Document Type: Article
UDC: 004.8
Language: Russian
Citation: S. I. Nikolenko, A. A. Fishkov, “A survey of user behaviour models for search results ranking”, Tr. SPIIRAN, 22 (2012), 139–175
Citation in format AMSBIB
\Bibitem{NikFis12}
\by S.~I.~Nikolenko, A.~A.~Fishkov
\paper A survey of user behaviour models for search results ranking
\jour Tr. SPIIRAN
\yr 2012
\vol 22
\pages 139--175
\mathnet{http://mi.mathnet.ru/trspy525}
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  • https://www.mathnet.ru/eng/trspy/v22/p139
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    		Informatics and Automation
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