{"title":"点击Web搜索模型及其在IR中的应用:WSDM 2016教程","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":"{\"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}","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}
Click Models for Web Search and their Applications to IR: WSDM 2016 Tutorial
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.