{"title":"Click Models for Web Search and their Applications to IR: WSDM 2016 Tutorial","authors":"A. Chuklin, I. Markov, M. de Rijke","doi":"10.1145/2835776.2855113","DOIUrl":null,"url":null,"abstract":"In this tutorial we give an overview of click models for web search. We show how the framework of probabilistic graphical models helps to explain user behavior, build new evaluation metrics and perform simulations. The tutorial discusses foundational aspects alongside experimental details and applications, with live demos and discussions of publicly available resources.","PeriodicalId":20567,"journal":{"name":"Proceedings of the Ninth ACM International Conference on Web Search and Data Mining","volume":"180 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2016-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Ninth ACM International Conference on Web Search and Data Mining","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2835776.2855113","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
In this tutorial we give an overview of click models for web search. We show how the framework of probabilistic graphical models helps to explain user behavior, build new evaluation metrics and perform simulations. The tutorial discusses foundational aspects alongside experimental details and applications, with live demos and discussions of publicly available resources.