{"id":"https://openalex.org/W4414034960","doi":"https://doi.org/10.1145/3705328.3748070","title":"Enhancing Online Video Recommendation via a Coarse-to-fine Dynamic Uplift Modeling Framework","display_name":"Enhancing Online Video Recommendation via a Coarse-to-fine Dynamic Uplift Modeling Framework","publication_year":2025,"publication_date":"2025-09-06","ids":{"openalex":"https://openalex.org/W4414034960","doi":"https://doi.org/10.1145/3705328.3748070"},"language":"en","primary_location":{"id":"doi:10.1145/3705328.3748070","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3705328.3748070","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3705328.3748070","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3705328.3748070","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101615823","display_name":"Chang Meng","orcid":"https://orcid.org/0000-0002-2914-6527"},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chang Meng","raw_affiliation_strings":["Kuaishou Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Kuaishou Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103227753","display_name":"Chenhao Zhai","orcid":"https://orcid.org/0009-0007-9506-0477"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenhao Zhai","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078025069","display_name":"X. Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueliang Wang","raw_affiliation_strings":["Kuaishou Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Kuaishou Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100600807","display_name":"Shuchang Liu","orcid":"https://orcid.org/0000-0002-1440-911X"},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuchang Liu","raw_affiliation_strings":["Kuaishou Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Kuaishou Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119556756","display_name":"Xiaoqiang Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqiang Feng","raw_affiliation_strings":["Kuaishou Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Kuaishou Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001979415","display_name":"Lantao Hu","orcid":"https://orcid.org/0000-0003-0697-8985"},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lantao Hu","raw_affiliation_strings":["Kuaishou Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Kuaishou Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100754504","display_name":"Xiu Li","orcid":"https://orcid.org/0000-0003-0403-1923"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiu Li","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020615530","display_name":"Han Li","orcid":"https://orcid.org/0009-0000-9801-9292"},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Li","raw_affiliation_strings":["Kuaishou Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Kuaishou Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062939922","display_name":"Kun Gai","orcid":"https://orcid.org/0000-0002-3636-3618"},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Gai","raw_affiliation_strings":["Kuaishou Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Kuaishou Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5101615823"],"corresponding_institution_ids":["https://openalex.org/I4401726859"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35313215,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"82","last_page":"92"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9710999727249146,"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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9674999713897705,"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/computer-science","display_name":"Computer science","score":0.7088117003440857}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7088117003440857}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3705328.3748070","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3705328.3748070","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3705328.3748070","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3705328.3748070","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3705328.3748070","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3705328.3748070","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414034960.pdf","grobid_xml":"https://content.openalex.org/works/W4414034960.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1516659296","https://openalex.org/W2149427297","https://openalex.org/W2305754340","https://openalex.org/W2619014254","https://openalex.org/W2624816748","https://openalex.org/W2809290718","https://openalex.org/W2913340405","https://openalex.org/W2982902390","https://openalex.org/W3080642298","https://openalex.org/W3087931390","https://openalex.org/W3160537436","https://openalex.org/W4207029607","https://openalex.org/W4224318508","https://openalex.org/W4249736682","https://openalex.org/W4286588534","https://openalex.org/W4367046889","https://openalex.org/W4382239939","https://openalex.org/W4382240261","https://openalex.org/W4385565675","https://openalex.org/W4385567939","https://openalex.org/W4385750174","https://openalex.org/W4391097743","https://openalex.org/W4392902751","https://openalex.org/W4394947896","https://openalex.org/W4396723402","https://openalex.org/W4396844161","https://openalex.org/W4401864223","https://openalex.org/W4401864768","https://openalex.org/W4402101147","https://openalex.org/W4403219678","https://openalex.org/W4409158181","https://openalex.org/W4409366281"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0],"popularity":[1],"of":[2,55,98,115,137,148],"short":[3],"video":[4,13,69,119,132],"applications":[5],"has":[6],"brought":[7],"new":[8],"opportunities":[9],"and":[10,33,94,100,155],"challenges":[11,80],"to":[12,16,29,44,47,63,72,111,150],"recommendation.In":[14],"addition":[15],"the":[17,48,53,68,74,83,86,96,116,145],"traditional":[18],"ranking-based":[19],"pipeline,":[20],"industrial":[21],"solutions":[22,38],"usually":[23],"introduce":[24],"additional":[25],"distribution":[26,91,117],"management":[27,92],"components":[28],"guarantee":[30],"a":[31,112,123,140,156],"diverse":[32],"content-rich":[34],"user":[35,50,102],"experience.However,":[36],"existing":[37],"are":[39],"either":[40],"non-personalized":[41],"or":[42],"fail":[43],"generalize":[45],"well":[46],"ever-changing":[49],"preferences.Inspired":[51],"by":[52],"success":[54],"uplift":[56,65],"modeling":[57,66,97],"in":[58,67,90],"online":[59],"marketing,":[60],"we":[61,76,107],"attempt":[62],"implement":[64],"recommendation":[70,133],"scenario":[71],"mitigate":[73],"problems.However,":[75],"face":[77],"two":[78,138],"main":[79],"when":[81],"migrating":[82],"technique:":[84],"1)":[85],"complex-response":[87],"causal":[88],"relation":[89],"problem,":[93],"2)":[95],"long-term":[99,153],"real-time":[101,131],"preferences.To":[103],"address":[104],"these":[105],"challenges,":[106],"correspond":[108],"each":[109],"treatment":[110],"specific":[113],"adjustment":[114],"over":[118],"types,":[120],"then":[121],"propose":[122],"Coarse-to-fine":[124],"Dynamic":[125],"Uplift":[126],"Modeling":[127],"(CDUM)":[128],"framework":[129],"for":[130],"scenarios.Specifically,":[134],"CDUM":[135],"consists":[136],"modules,":[139],"coarse-grained":[141],"module":[142],"that":[143],"utilizes":[144],"offline":[146],"features":[147],"users":[149],"model":[151],"their":[152],"preferences,":[154],"fine-grained":[157]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
