{"id":"https://openalex.org/W2031489019","doi":"https://doi.org/10.1145/1864708.1864759","title":"Do clicks measure recommendation relevancy?","display_name":"Do clicks measure recommendation relevancy?","publication_year":2010,"publication_date":"2010-09-26","ids":{"openalex":"https://openalex.org/W2031489019","doi":"https://doi.org/10.1145/1864708.1864759","mag":"2031489019"},"language":"en","primary_location":{"id":"doi:10.1145/1864708.1864759","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1864708.1864759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fourth ACM conference on Recommender systems","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/A5088727184","display_name":"Zheng Hua","orcid":"https://orcid.org/0000-0002-3921-0529"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hua Zheng","raw_affiliation_strings":["Hulu, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hulu, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100776551","display_name":"Dong Wang","orcid":"https://orcid.org/0000-0002-9396-0398"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong Wang","raw_affiliation_strings":["Hulu, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hulu, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109125655","display_name":"Qi Zhang","orcid":"https://orcid.org/0009-0009-7731-3068"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qi Zhang","raw_affiliation_strings":["Hulu, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hulu, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455135","display_name":"Hang Li","orcid":"https://orcid.org/0000-0002-3464-3245"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hang Li","raw_affiliation_strings":["Hulu, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hulu, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040086617","display_name":"Tinghao Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tinghao Yang","raw_affiliation_strings":["Hulu, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hulu, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5318,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.84791501,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"249","last_page":"252"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9851999878883362,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.8669818639755249},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8603663444519043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7714056968688965},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.7237545251846313},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6643342971801758},{"id":"https://openalex.org/keywords/serendipity","display_name":"Serendipity","score":0.6077859401702881},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5822746157646179},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5533605813980103},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4816119074821472},{"id":"https://openalex.org/keywords/click-through-rate","display_name":"Click-through rate","score":0.4781978130340576},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.42361217737197876},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.389901727437973},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.20788195729255676},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11398953199386597}],"concepts":[{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.8669818639755249},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8603663444519043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7714056968688965},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.7237545251846313},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6643342971801758},{"id":"https://openalex.org/C2779119418","wikidata":"https://www.wikidata.org/wiki/Q166039","display_name":"Serendipity","level":2,"score":0.6077859401702881},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5822746157646179},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5533605813980103},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4816119074821472},{"id":"https://openalex.org/C115174607","wikidata":"https://www.wikidata.org/wiki/Q1100934","display_name":"Click-through rate","level":2,"score":0.4781978130340576},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.42361217737197876},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.389901727437973},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.20788195729255676},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11398953199386597},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1864708.1864759","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1864708.1864759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fourth ACM conference on Recommender systems","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":13,"referenced_works":["https://openalex.org/W1530276735","https://openalex.org/W1971040550","https://openalex.org/W1999047234","https://openalex.org/W2049670925","https://openalex.org/W2061212083","https://openalex.org/W2097951507","https://openalex.org/W2116354394","https://openalex.org/W2119384858","https://openalex.org/W2142144955","https://openalex.org/W2153111836","https://openalex.org/W2159094788","https://openalex.org/W2165897980","https://openalex.org/W6631723311"],"related_works":["https://openalex.org/W4205615116","https://openalex.org/W2154428221","https://openalex.org/W2531086667","https://openalex.org/W2045676999","https://openalex.org/W35325473","https://openalex.org/W1876349746","https://openalex.org/W3125216959","https://openalex.org/W2129390568","https://openalex.org/W2765630348","https://openalex.org/W4312541699"],"abstract_inverted_index":{"Evaluation":[0],"have":[1],"been":[2],"an":[3],"important":[4],"subject":[5],"since":[6,40],"the":[7,16,24,56,82,86,93,108,117,120,125,162],"early":[8],"days":[9],"of":[10,37,58,96,122,168,176],"recommender":[11,169],"systems.":[12],"In":[13,111],"online":[14,135,166],"test,":[15],"click-through":[17],"rate":[18],"(CTR)":[19],"is":[20,61,175],"often":[21],"adopted":[22],"as":[23,99],"metric.":[25],"However,":[26],"recommended":[27],"items":[28,39],"with":[29,128,147],"higher":[30,35,148,155],"CTR":[31,127,150,158],"does":[32],"not":[33,79,152,160],"imply":[34],"relevance":[36,57,71,121],"two":[38],"factors":[41],"like":[42],"item":[43,46],"popularity":[44],"or":[45],"serendipity":[47],"may":[48,102,151,159],"influence":[49],"user's":[50],"click":[51],"behavior.":[52],"We":[53],"argue":[54],"that":[55,145],"recommendation":[59],"system":[60,87],"also":[62],"desirable":[63],"in":[64,72],"many":[65],"real":[66],"applications.":[67],"Here":[68],"relevant":[69,173],"means":[70],"a":[73,129,138],"human":[74],"perceptible":[75],"way.":[76],"Relevant":[77],"recommendations":[78,101,123,174],"only":[80,103],"increase":[81],"users'":[83],"trust":[84],"to":[85,154],"but":[88],"are":[89],"extremely":[90],"useful":[91],"for":[92,165],"vast":[94],"number":[95],"anonymous":[97],"user":[98],"their":[100],"be":[104,161],"made":[105],"based":[106],"on":[107],"current":[109],"item.":[110],"this":[112],"paper,":[113],"we":[114],"empirically":[115],"examine":[116],"relation":[118],"between":[119],"and":[124],"corresponding":[126],"few":[130],"representative":[131],"ItemCF":[132],"algorithms":[133,146],"through":[134],"data":[136],"from":[137],"TV":[139],"show/movie":[140],"website,":[141],"Hulu.":[142],"Experiments":[143],"show":[144],"overall":[149],"correspond":[153],"relevance.":[156],"Thus":[157],"optimal":[163],"metric":[164],"evaluation":[167],"systems":[170],"if":[171],"producing":[172],"importance.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
