Click Models for Web Search
Topics: Navboost, Ranking, Reranking, Scoring, Search Intent, User Signals
“Click Models for Web Search” by Aleksandr Chuklin, Ilya Markov, and Maarten de Rijke is a comprehensive guide on click models used to analyze and predict user behavior in web search. It covers basic and advanced click models, parameter estimation techniques, evaluation metrics, and practical applications, providing both theoretical foundations and empirical insights for researchers and practitioners in information retrieval.
Authors:
- Aleksandr Chuklin: Affiliated with the University of Amsterdam and Google Switzerland. Chuklin’s work focuses on information retrieval and web search, making significant contributions to the understanding and development of click models.
- Ilya Markov: Also from the University of Amsterdam, Markov’s research interests lie in information retrieval, web search, and user behavior modeling. His contributions are essential in the development and refinement of click models.
- Maarten de Rijke: A prominent researcher from the University of Amsterdam, de Rijke is well-known for his extensive work in information retrieval, natural language processing, and web search. He has authored numerous influential papers and books in these fields.
Publisher and Publication
- Publisher: Morgan & Claypool Publishers
- Publication Year: 2015
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