{"id":"https://openalex.org/W4416016531","doi":"https://doi.org/10.1145/3746252.3761570","title":"Towards Unbiased and Real-Time Staytime Prediction for Live Streaming Recommendation","display_name":"Towards Unbiased and Real-Time Staytime Prediction for Live Streaming Recommendation","publication_year":2025,"publication_date":"2025-11-08","ids":{"openalex":"https://openalex.org/W4416016531","doi":"https://doi.org/10.1145/3746252.3761570"},"language":null,"primary_location":{"id":"doi:10.1145/3746252.3761570","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746252.3761570","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"article","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/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":["Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103144692","display_name":"Changshuo Zhang","orcid":"https://orcid.org/0009-0001-8481-9421"},"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":"Changshuo Zhang","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102225370","display_name":"Yang Wang","orcid":"https://orcid.org/0009-0002-9853-6753"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang Wang","raw_affiliation_strings":["Bytedance, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Bytedance, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034003271","display_name":"H. Wang","orcid":"https://orcid.org/0000-0002-1686-5899"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["Bytedance, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Bytedance, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103799359","display_name":"Zhen Ouyang","orcid":"https://orcid.org/0009-0003-7225-5221"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhen Ouyang","raw_affiliation_strings":["Bytedance, San Jose, CA, USA"],"affiliations":[{"raw_affiliation_string":"Bytedance, San Jose, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103908924","display_name":"Bin Yuan","orcid":"https://orcid.org/0009-0009-3177-5478"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bin Yuan","raw_affiliation_strings":["Bytedance, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Bytedance, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031581102","display_name":"Q.J. Wang","orcid":"https://orcid.org/0009-0003-6990-581X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qinglei Wang","raw_affiliation_strings":["Bytedance, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Bytedance, Singapore, Singapore","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102662669","display_name":"Zuotao Liu","orcid":"https://orcid.org/0009-0004-4755-1835"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zuotao Liu","raw_affiliation_strings":["Bytedance, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Bytedance, Singapore, Singapore","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5102017256"],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33623839,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6293","last_page":"6300"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.3276999890804291,"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"}},"topics":[{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.3276999890804291,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.32190001010894775,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.06400000303983688,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/leverage","display_name":"Leverage (statistics)","score":0.7333999872207642},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5271999835968018},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4810999929904938},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.46369999647140503},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4318000078201294},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.3684999942779541},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.3601999878883362},{"id":"https://openalex.org/keywords/user-generated-content","display_name":"User-generated content","score":0.34940001368522644}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8224999904632568},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7333999872207642},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5271999835968018},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4810999929904938},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.46369999647140503},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4318000078201294},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38830000162124634},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.3684999942779541},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.3601999878883362},{"id":"https://openalex.org/C101293273","wikidata":"https://www.wikidata.org/wiki/Q579716","display_name":"User-generated content","level":3,"score":0.34940001368522644},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3391999900341034},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.32679998874664307},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.32359999418258667},{"id":"https://openalex.org/C2776741261","wikidata":"https://www.wikidata.org/wiki/Q3027665","display_name":"Live streaming","level":2,"score":0.3012999892234802},{"id":"https://openalex.org/C2780102126","wikidata":"https://www.wikidata.org/wiki/Q10928179","display_name":"Online and offline","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C196921405","wikidata":"https://www.wikidata.org/wiki/Q786431","display_name":"Online algorithm","level":2,"score":0.2676999866962433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25940001010894775},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C187166803","wikidata":"https://www.wikidata.org/wiki/Q2835831","display_name":"Streaming algorithm","level":3,"score":0.25769999623298645},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.2556000053882599}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746252.3761570","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746252.3761570","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","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":20,"referenced_works":["https://openalex.org/W2021866613","https://openalex.org/W2512971201","https://openalex.org/W2973198305","https://openalex.org/W3004726539","https://openalex.org/W3035466949","https://openalex.org/W3110889227","https://openalex.org/W3167758559","https://openalex.org/W3201632862","https://openalex.org/W4224308256","https://openalex.org/W4290857499","https://openalex.org/W4290944246","https://openalex.org/W4293569092","https://openalex.org/W4385565675","https://openalex.org/W4387846179","https://openalex.org/W4389983997","https://openalex.org/W4393147762","https://openalex.org/W4401201945","https://openalex.org/W4401857054","https://openalex.org/W4402979147","https://openalex.org/W4403221496"],"related_works":[],"abstract_inverted_index":{"Live":[0],"streaming":[1,29,216],"has":[2],"emerged":[3],"as":[4,74],"a":[5,52,75,124,143],"dynamic":[6],"content":[7,65],"format":[8],"that":[9,127,194],"delivers":[10],"real-time":[11],"and":[12,22,43,55,67,81,187,199],"interactive":[13],"experiences":[14],"to":[15,48,94,149,154,169,203,220],"users.":[16],"Distinguished":[17],"by":[18,89],"the":[19,38,105,156],"short":[20],"lifespan":[21],"immersive":[23],"nature":[24],"of":[25,78,108,145,158],"live":[26,28,46,215],"rooms,":[27],"poses":[30],"two":[31],"key":[32],"challenges":[33],"for":[34,132,180],"recommendation:":[35],"(1)":[36],"Timeliness:":[37],"model":[39,96],"must":[40],"rapidly":[41],"identify":[42],"promote":[44],"relevant":[45],"rooms":[47],"target":[49],"users":[50],"within":[51],"limited":[53],"window;":[54],"(2)":[56],"Accurate":[57],"staytime":[58,72,92,110,138,140,160,167,175],"prediction:":[59],"since":[60],"extended":[61],"watching":[62,182,225],"often":[63,86],"reflects":[64],"quality":[66],"user":[68,82,224],"satisfaction,":[69],"precisely":[70],"predicting":[71],"serves":[73,213],"critical":[76],"indicator":[77],"recommendation":[79,207,217],"relevance":[80],"engagement.":[83],"Existing":[84],"approaches":[85],"improve":[87],"timeliness":[88,198],"repeatedly":[90],"sending":[91],"signals":[93],"accelerate":[95],"learning.":[97],"However,":[98],"this":[99],"introduces":[100],"label":[101],"truncation":[102],"bias,":[103],"distorting":[104],"unbiased":[106,151,200],"estimation":[107],"high":[109,159,166],"samples.":[111],"To":[112],"reconcile":[113],"these":[114],"competing":[115],"demands,":[116],"we":[117],"propose":[118],"MS3M":[119,195],"(Multi-Stream":[120],"Segmented":[121],"Staytime":[122],"Modeling),":[123],"novel":[125],"framework":[126],"leverages":[128],"multiple":[129],"data":[130],"streams":[131],"faster":[133],"learning":[134],"while":[135],"employing":[136],"segmented":[137],"modeling-converting":[139],"regression":[141],"into":[142],"series":[144],"time-segmented":[146],"classification":[147],"tasks":[148],"ensure":[150],"training.":[152],"Furthermore,":[153],"address":[155],"sparsity":[157],"samples,":[161],"MS3M's":[162],"task-dependent":[163],"architecture":[164],"allows":[165],"parameters":[168],"leverage":[170],"prior":[171],"knowledge":[172],"from":[173],"low":[174],"data,":[176],"significantly":[177],"improving":[178],"generalization":[179],"long-duration":[181],"behaviors.":[183],"Extensive":[184],"offline":[185],"experiments":[186],"online":[188],"A/B":[189],"tests":[190],"on":[191],"TikTok":[192],"confirm":[193],"effectively":[196],"balances":[197],"learning,":[201],"leading":[202],"substantial":[204],"gains":[205],"in":[206,223],"accuracy.":[208],"The":[209],"proposed":[210],"approach":[211],"currently":[212],"TikTok's":[214],"system,":[218],"contributing":[219],"continuous":[221],"improvement":[222],"experience.":[226]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-11-08T00:00:00"}
