{"id":"https://openalex.org/W4367310110","doi":"https://doi.org/10.1145/3543873.3584624","title":"Reweighting Clicks with Dwell Time in Recommendation","display_name":"Reweighting Clicks with Dwell Time in Recommendation","publication_year":2023,"publication_date":"2023-04-28","ids":{"openalex":"https://openalex.org/W4367310110","doi":"https://doi.org/10.1145/3543873.3584624"},"language":"en","primary_location":{"id":"doi:10.1145/3543873.3584624","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543873.3584624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2023","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/A5101577090","display_name":"Ruobing Xie","orcid":"https://orcid.org/0000-0003-3170-5647"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruobing Xie","raw_affiliation_strings":["WeChat, Tencent, China"],"raw_orcid":"https://orcid.org/0000-0003-3170-5647","affiliations":[{"raw_affiliation_string":"WeChat, Tencent, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065524654","display_name":"Lin Ma","orcid":"https://orcid.org/0000-0002-1847-340X"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Ma","raw_affiliation_strings":["WeChat, Tencent, China"],"raw_orcid":"https://orcid.org/0000-0002-1847-340X","affiliations":[{"raw_affiliation_string":"WeChat, Tencent, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114949466","display_name":"Shao\u2010Liang Zhang","orcid":"https://orcid.org/0000-0001-9214-261X"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoliang Zhang","raw_affiliation_strings":["WeChat, Tencent, China"],"raw_orcid":"https://orcid.org/0000-0001-9214-261X","affiliations":[{"raw_affiliation_string":"WeChat, Tencent, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102973664","display_name":"Feng Xia","orcid":"https://orcid.org/0000-0001-5279-9908"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Xia","raw_affiliation_strings":["WeChat, Tencent, China"],"raw_orcid":"https://orcid.org/0000-0001-5279-9908","affiliations":[{"raw_affiliation_string":"WeChat, Tencent, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023086553","display_name":"Leyu Lin","orcid":"https://orcid.org/0000-0001-5471-500X"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leyu Lin","raw_affiliation_strings":["WeChat, Tencent, China"],"raw_orcid":"https://orcid.org/0000-0001-5471-500X","affiliations":[{"raw_affiliation_string":"WeChat, Tencent, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2250653659"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"341","last_page":"345"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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":1.0,"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":0.9984999895095825,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9677000045776367,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/dwell-time","display_name":"Dwell time","score":0.921903133392334},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8542972207069397},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7156365513801575},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5544341802597046},{"id":"https://openalex.org/keywords/click-through-rate","display_name":"Click-through rate","score":0.5214964151382446},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36404311656951904},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3423522710800171},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3010958731174469}],"concepts":[{"id":"https://openalex.org/C151637689","wikidata":"https://www.wikidata.org/wiki/Q5318064","display_name":"Dwell time","level":2,"score":0.921903133392334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8542972207069397},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7156365513801575},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5544341802597046},{"id":"https://openalex.org/C115174607","wikidata":"https://www.wikidata.org/wiki/Q1100934","display_name":"Click-through rate","level":2,"score":0.5214964151382446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36404311656951904},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3423522710800171},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3010958731174469},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C70410870","wikidata":"https://www.wikidata.org/wiki/Q199906","display_name":"Clinical psychology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3543873.3584624","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543873.3584624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2106576032","https://openalex.org/W2152693361","https://openalex.org/W2166237624","https://openalex.org/W2248267741","https://openalex.org/W2597366411","https://openalex.org/W2604662567","https://openalex.org/W2723293840","https://openalex.org/W2807764426","https://openalex.org/W2809290718","https://openalex.org/W2898085636","https://openalex.org/W2984100107","https://openalex.org/W3035313290","https://openalex.org/W3035725536","https://openalex.org/W3081190557","https://openalex.org/W3087931390","https://openalex.org/W3101704389","https://openalex.org/W3152876231","https://openalex.org/W3153675609","https://openalex.org/W3160913626","https://openalex.org/W3217015614","https://openalex.org/W4246826033","https://openalex.org/W4290857499","https://openalex.org/W4306316916"],"related_works":["https://openalex.org/W2898247383","https://openalex.org/W1977953789","https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W3092950680","https://openalex.org/W4246980185","https://openalex.org/W633869025","https://openalex.org/W2150182025","https://openalex.org/W4367310110","https://openalex.org/W4296565308"],"abstract_inverted_index":{"The":[0,121],"click":[1,16,95,115],"behavior":[2,86],"is":[3],"the":[4,62],"most":[5],"widely-used":[6],"user":[7,49],"positive":[8],"feedback":[9],"in":[10,18,78,117,134],"recommendation.":[11,79,120],"However,":[12],"simply":[13],"considering":[14],"each":[15,52],"equally":[17],"training":[19,118],"may":[20],"suffer":[21],"from":[22],"clickbaits":[23],"and":[24,27,100,131],"title-content":[25],"mismatching,":[26],"thus":[28],"fail":[29],"to":[30,92,113],"precisely":[31],"capture":[32],"users\u2019":[33],"real":[34],"satisfaction":[35],"on":[36,51,72,128],"items.":[37],"Dwell":[38],"time":[39,77,111],"could":[40],"be":[41],"viewed":[42],"as":[43],"a":[44,84,108],"high-quality":[45,94],"quantitative":[46],"indicator":[47],"of":[48,64],"preferences":[50],"click,":[53],"while":[54],"existing":[55],"recommendation":[56],"models":[57],"do":[58],"not":[59],"fully":[60],"explore":[61],"modeling":[63],"dwell":[65,76,103,110],"time.":[66,104],"In":[67],"this":[68],"work,":[69],"we":[70,81,106],"focus":[71],"reweighting":[73,123],"clicks":[74],"with":[75],"Precisely,":[80],"first":[82],"define":[83],"new":[85],"named":[87],"valid":[88],"read,":[89],"which":[90],"helps":[91],"select":[93],"instances":[96],"for":[97,119],"different":[98],"users":[99],"items":[101],"via":[102],"Next,":[105],"propose":[107],"normalized":[109],"function":[112],"reweight":[114],"signals":[116],"Click":[122],"model":[124],"achieves":[125],"significant":[126],"improvements":[127],"both":[129],"offline":[130],"online":[132],"evaluations":[133],"real-world":[135],"systems.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}