{"id":"https://openalex.org/W4385965604","doi":"https://doi.org/10.1145/3604915.3608797","title":"Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation","display_name":"Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation","publication_year":2023,"publication_date":"2023-09-14","ids":{"openalex":"https://openalex.org/W4385965604","doi":"https://doi.org/10.1145/3604915.3608797"},"language":"en","primary_location":{"id":"doi:10.1145/3604915.3608797","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3604915.3608797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2308.08120","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102017256","display_name":"Haiyuan Zhao","orcid":"https://orcid.org/0000-0003-1134-2877"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haiyuan Zhao","raw_affiliation_strings":["School of Information, Renmin University of China, China"],"raw_orcid":"https://orcid.org/0000-0003-1134-2877","affiliations":[{"raw_affiliation_string":"School of Information, Renmin University of China, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100325066","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0003-1603-4996"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, China"],"raw_orcid":"https://orcid.org/0000-0003-1603-4996","affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020766468","display_name":"Jun Xu","orcid":"https://orcid.org/0000-0001-7170-111X"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Xu","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, China"],"raw_orcid":"https://orcid.org/0000-0001-7170-111X","affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043545979","display_name":"Guohao Cai","orcid":"https://orcid.org/0000-0002-9000-857X"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guohao Cai","raw_affiliation_strings":["Noah's Ark Lab, Huawei, China"],"raw_orcid":"https://orcid.org/0000-0002-9000-857X","affiliations":[{"raw_affiliation_string":"Noah's Ark Lab, Huawei, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021124418","display_name":"Zhenhua Dong","orcid":"https://orcid.org/0000-0002-2231-4663"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhua Dong","raw_affiliation_strings":["Noah's Ark Lab, Huawei, China"],"raw_orcid":"https://orcid.org/0000-0002-2231-4663","affiliations":[{"raw_affiliation_string":"Noah's Ark Lab, Huawei, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025631695","display_name":"Ji-Rong Wen","orcid":"https://orcid.org/0000-0002-9777-9676"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji-Rong Wen","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, China"],"raw_orcid":"https://orcid.org/0000-0002-9777-9676","affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102017256"],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":7.6231,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.97287855,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"528","last_page":"539"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9898999929428101,"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"}},{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6872670650482178},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3226339519023895}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6872670650482178},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3226339519023895}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3604915.3608797","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3604915.3608797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2308.08120","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.08120","pdf_url":"https://arxiv.org/pdf/2308.08120","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2308.08120","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.08120","pdf_url":"https://arxiv.org/pdf/2308.08120","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4613477341","display_name":null,"funder_award_id":"2019YFE0198200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320322499","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385965604.pdf","grobid_xml":"https://content.openalex.org/works/W4385965604.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W2040367556","https://openalex.org/W2094286023","https://openalex.org/W2166237624","https://openalex.org/W2340526403","https://openalex.org/W2475334473","https://openalex.org/W2507134384","https://openalex.org/W2512971201","https://openalex.org/W2604662567","https://openalex.org/W2629213068","https://openalex.org/W2797400361","https://openalex.org/W2898085636","https://openalex.org/W2911802745","https://openalex.org/W2913023375","https://openalex.org/W2963096987","https://openalex.org/W2973172293","https://openalex.org/W2981505961","https://openalex.org/W2981569692","https://openalex.org/W2982108874","https://openalex.org/W2998534896","https://openalex.org/W3033630125","https://openalex.org/W3088393583","https://openalex.org/W3089533404","https://openalex.org/W3097679710","https://openalex.org/W3101704389","https://openalex.org/W3103310105","https://openalex.org/W3105712174","https://openalex.org/W3116172555","https://openalex.org/W3152876231","https://openalex.org/W3155345376","https://openalex.org/W3156622960","https://openalex.org/W3156939347","https://openalex.org/W3170713142","https://openalex.org/W3210628790","https://openalex.org/W3210910782","https://openalex.org/W4223969322","https://openalex.org/W4281264565","https://openalex.org/W4283009651","https://openalex.org/W4290857499","https://openalex.org/W4290927796","https://openalex.org/W4290944246","https://openalex.org/W4292419518","https://openalex.org/W4293876646","https://openalex.org/W4306317504","https://openalex.org/W4307780407","https://openalex.org/W4313171212","https://openalex.org/W6740005241"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"In":[0,140],"the":[1,23,44,66,96,123,146,161,168,173,178,185,221,235,239,246,267,270],"video":[2,79,259],"recommendation,":[3],"watch":[4,16,105,138,151,162,175,180,196,240],"time":[5,17,51,72,88,106,152,163,197],"is":[6,18,243],"commonly":[7],"adopted":[8],"as":[9,34,164],"an":[10,107],"indicator":[11],"of":[12,25,58,98,125,149,167,249,269],"user":[13,112,135,236],"interest.":[14,113],"However,":[15],"not":[19,93],"only":[20],"influenced":[21],"by":[22,30],"matching":[24],"users\u2019":[26,150],"interests":[27],"but":[28],"also":[29],"other":[31,67],"factors,":[32],"such":[33],"duration":[35,99,119,186],"bias":[36,41,100,120,187,222,250],"and":[37,101,121,177,188,194,223,251,262],"noisy":[38,102,126,179,189],"watching.":[39],"Duration":[40],"refers":[42],"to":[43,48,73,233,245],"tendency":[45],"for":[46,110,219],"users":[47,70,86],"spend":[49],"more":[50],"on":[52,65,256],"videos":[53,90],"with":[54],"longer":[55],"durations,":[56],"regardless":[57],"their":[59,131],"actual":[60,170],"interest":[61,136,171,237],"level.":[62],"Noisy":[63],"watching,":[64,127,190],"hand,":[68],"describes":[69],"taking":[71],"determine":[74],"whether":[75],"they":[76,91],"like":[77],"a":[78,154,165,210,229],"or":[80],"not,":[81],"which":[82,128,200,242],"can":[83,201],"result":[84],"in":[85,133],"spending":[87],"watching":[89,103],"do":[92],"like.":[94],"Consequently,":[95],"existence":[97],"make":[104],"inadequate":[108],"label":[109],"indicating":[111],"Furthermore,":[114],"current":[115],"methods":[116],"primarily":[117],"address":[118],"ignore":[122],"impact":[124],"may":[129],"limit":[130],"effectiveness":[132,268],"uncovering":[134],"from":[137,153,238],"time.":[139,181],"this":[141],"study,":[142],"we":[143,159,191,208,227],"first":[144],"analyze":[145],"generation":[147],"mechanism":[148],"unified":[155],"causal":[156],"viewpoint.":[157],"Specifically,":[158],"considered":[160],"mixture":[166],"user\u2019s":[169],"level,":[172],"duration-biased":[174],"time,":[176,241],"To":[182],"mitigate":[183],"both":[184],"propose":[192],"Debiased":[193],"Denoised":[195],"Correction":[198],"(D2Co),":[199],"be":[202],"divided":[203],"into":[204],"two":[205,257],"steps:":[206],"First,":[207],"employ":[209],"duration-wise":[211],"Gaussian":[212],"Mixture":[213],"Model":[214],"plus":[215],"frequency-weighted":[216],"moving":[217],"average":[218],"estimating":[220],"noise":[224,252],"terms;":[225],"then":[226],"utilize":[228],"sensitivity-controlled":[230],"correction":[231],"function":[232],"separate":[234],"robust":[244],"estimation":[247],"error":[248],"terms.":[253],"The":[254],"experiments":[255],"public":[258],"recommendation":[260],"datasets":[261],"online":[263],"A/B":[264],"testing":[265],"indicate":[266],"proposed":[271],"method.":[272]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":6}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}