{"id":"https://openalex.org/W2798460079","doi":"https://doi.org/10.1145/3219819.3220028","title":"Offline Evaluation of Ranking Policies with Click Models","display_name":"Offline Evaluation of Ranking Policies with Click Models","publication_year":2018,"publication_date":"2018-07-19","ids":{"openalex":"https://openalex.org/W2798460079","doi":"https://doi.org/10.1145/3219819.3220028","mag":"2798460079"},"language":"en","primary_location":{"id":"doi:10.1145/3219819.3220028","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3219819.3220028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100424064","display_name":"Shuai Li","orcid":"https://orcid.org/0000-0001-8316-5289"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shuai Li","raw_affiliation_strings":["Chinese University of Hong Kong, Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047010941","display_name":"Yasin Abbasi-Yadkori","orcid":null},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yasin Abbasi-Yadkori","raw_affiliation_strings":["Adobe Research, San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049020775","display_name":"Branislav Kveton","orcid":"https://orcid.org/0000-0002-3965-1367"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Branislav Kveton","raw_affiliation_strings":["Adobe Research, San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045502987","display_name":"S. Muthukrishnan","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Muthukrishnan","raw_affiliation_strings":["Rutgers University, New Brunswick, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers University, New Brunswick, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022536276","display_name":"Vishwa Vinay","orcid":"https://orcid.org/0000-0002-4043-9953"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vishwa Vinay","raw_affiliation_strings":["Adobe Research, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research, Bangalore, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035367145","display_name":"Wen Zheng","orcid":"https://orcid.org/0000-0002-6570-6245"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zheng Wen","raw_affiliation_strings":["Adobe Research, San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1685","last_page":"1694"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.8375270366668701},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.8201873302459717},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8171792030334473},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6780553460121155},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.6498774290084839},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6373385787010193},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5888408422470093},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.42976588010787964},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.42861196398735046},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42126792669296265},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41813531517982483},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3622378706932068},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33183616399765015},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14130088686943054},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11658629775047302}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8375270366668701},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8201873302459717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8171792030334473},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6780553460121155},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.6498774290084839},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6373385787010193},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5888408422470093},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.42976588010787964},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.42861196398735046},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42126792669296265},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41813531517982483},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3622378706932068},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33183616399765015},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14130088686943054},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11658629775047302},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3219819.3220028","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3219819.3220028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W164956183","https://openalex.org/W596281310","https://openalex.org/W1578264931","https://openalex.org/W1809653203","https://openalex.org/W1876041327","https://openalex.org/W1968927634","https://openalex.org/W1972802558","https://openalex.org/W1992549066","https://openalex.org/W2026784708","https://openalex.org/W2031858317","https://openalex.org/W2057744254","https://openalex.org/W2069997576","https://openalex.org/W2090883204","https://openalex.org/W2093562354","https://openalex.org/W2094790959","https://openalex.org/W2099213975","https://openalex.org/W2106628583","https://openalex.org/W2113640060","https://openalex.org/W2115283655","https://openalex.org/W2122124659","https://openalex.org/W2130076000","https://openalex.org/W2135194391","https://openalex.org/W2138909795","https://openalex.org/W2152314154","https://openalex.org/W2154739689","https://openalex.org/W2170686633","https://openalex.org/W2185823609","https://openalex.org/W2293743194","https://openalex.org/W2402441596","https://openalex.org/W2464171116","https://openalex.org/W2507134384","https://openalex.org/W2560674852","https://openalex.org/W2769473018","https://openalex.org/W2913668833","https://openalex.org/W2951403958","https://openalex.org/W3009804075","https://openalex.org/W4299828299","https://openalex.org/W4302322961"],"related_works":["https://openalex.org/W3127142483","https://openalex.org/W3160516639","https://openalex.org/W4385565564","https://openalex.org/W2898073868","https://openalex.org/W2138488530","https://openalex.org/W4390446658","https://openalex.org/W2971071571","https://openalex.org/W2798835721","https://openalex.org/W2922169395","https://openalex.org/W2387658907"],"abstract_inverted_index":{"Many":[0],"web":[1],"systems":[2,14],"rank":[3],"and":[4,17,31,115,156],"present":[5],"a":[6,148,153],"list":[7,97],"of":[8,51,76,92,98,131,150],"items":[9],"to":[10,15,25,66,104],"users,":[11],"from":[12,56],"recommender":[13],"search":[16],"advertising.":[18],"An":[19],"important":[20],"problem":[21,41,72],"in":[22,70,147],"practice":[23],"is":[24],"evaluate":[26,144],"new":[27],"ranking":[28],"policies":[29],"offline":[30],"optimize":[32],"them":[33],"before":[34],"they":[35,118,159],"are":[36,63,119],"deployed.":[37],"We":[38,111,143],"address":[39],"this":[40,87],"by":[42],"proposing":[43],"evaluation":[44],"algorithms":[45,62],"for":[46],"estimating":[47],"the":[48,74,96,100,123,129,132,136,139],"expected":[49],"number":[50,75],"clicks":[52],"on":[53,152],"ranked":[54],"lists":[55,78],"historical":[57],"logged":[58],"data.":[59],"The":[60],"existing":[61],"not":[64,127],"guaranteed":[65],"be":[67],"statistically":[68,109],"efficient":[69,121],"our":[71,113,145],"because":[73],"recommended":[77],"can":[79],"grow":[80],"exponentially":[81],"with":[82,95],"their":[83],"length.":[84],"To":[85],"overcome":[86],"challenge,":[88],"we":[89],"use":[90,128],"models":[91],"user":[93],"interaction":[94],"items,":[99],"so-called":[101],"click":[102,133,140],"models,":[103],"construct":[105],"estimators":[106,114,124,146],"that":[107,117,125,138,158],"learn":[108],"efficiently.":[110],"analyze":[112],"prove":[116],"more":[120],"than":[122],"do":[126],"structure":[130],"model,":[134],"under":[135],"assumption":[137],"model":[141],"holds.":[142],"series":[149],"experiments":[151],"real-world":[154],"dataset":[155],"show":[157],"consistently":[160],"outperform":[161],"prior":[162],"estimators.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":4}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}