{"id":"https://openalex.org/W4387846437","doi":"https://doi.org/10.1145/3583780.3615488","title":"Multi-gate Mixture-of-Contrastive-Experts with Graph-based Gating Mechanism for TV Recommendation","display_name":"Multi-gate Mixture-of-Contrastive-Experts with Graph-based Gating Mechanism for TV Recommendation","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4387846437","doi":"https://doi.org/10.1145/3583780.3615488"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3615488","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615488","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd 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/A5084597601","display_name":"Cong Zhang","orcid":"https://orcid.org/0009-0007-5132-6261"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cong Zhang","raw_affiliation_strings":["China Mobile Research Institute, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001991119","display_name":"Dongyang Liu","orcid":"https://orcid.org/0009-0002-6160-0707"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyang Liu","raw_affiliation_strings":["China Mobile Research Institute, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101851255","display_name":"Lin Zuo","orcid":"https://orcid.org/0009-0005-2413-6898"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zuo","raw_affiliation_strings":["China Mobile Research Institute, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute, Xi'an, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079750750","display_name":"Junlan Feng","orcid":"https://orcid.org/0000-0001-5292-2945"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junlan Feng","raw_affiliation_strings":["China Mobile Research Institute, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100773559","display_name":"Chao Deng","orcid":"https://orcid.org/0000-0003-4449-5247"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Deng","raw_affiliation_strings":["China Mobile Research Institute, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017024080","display_name":"Jian Sun","orcid":"https://orcid.org/0009-0001-8503-4458"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Sun","raw_affiliation_strings":["China Mobile Research Institute, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101493129","display_name":"Haitao Zeng","orcid":"https://orcid.org/0000-0003-2728-9724"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitao Zeng","raw_affiliation_strings":["China Mobile Research Institute, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012612938","display_name":"Yaohong Zhao","orcid":"https://orcid.org/0009-0007-2264-7939"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaohong Zhao","raw_affiliation_strings":["China Mobile Research Institute, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5084597601"],"corresponding_institution_ids":["https://openalex.org/I180662265"],"apc_list":null,"apc_paid":null,"fwci":0.4589,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70180972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"4938","last_page":"4944"},"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9988999962806702,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9940000176429749,"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":0.8124333620071411},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5585266351699829},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.490315705537796},{"id":"https://openalex.org/keywords/gating","display_name":"Gating","score":0.438477098941803},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4116099178791046},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.41118454933166504},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40359991788864136},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.29368770122528076},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10725992918014526}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8124333620071411},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5585266351699829},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.490315705537796},{"id":"https://openalex.org/C194544171","wikidata":"https://www.wikidata.org/wiki/Q21105679","display_name":"Gating","level":2,"score":0.438477098941803},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4116099178791046},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.41118454933166504},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40359991788864136},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29368770122528076},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10725992918014526},{"id":"https://openalex.org/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583780.3615488","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615488","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1426308036","https://openalex.org/W2065180801","https://openalex.org/W2110518760","https://openalex.org/W2158698691","https://openalex.org/W2798991696","https://openalex.org/W2809162153","https://openalex.org/W2809290718","https://openalex.org/W2892181857","https://openalex.org/W2913340405","https://openalex.org/W2962745591","https://openalex.org/W2963877604","https://openalex.org/W2964341035","https://openalex.org/W2966123616","https://openalex.org/W2988217457","https://openalex.org/W3035524453","https://openalex.org/W3065542300","https://openalex.org/W3087931390","https://openalex.org/W3094431459","https://openalex.org/W3096591391","https://openalex.org/W3100260481","https://openalex.org/W3170587616","https://openalex.org/W3206127589","https://openalex.org/W3210268599","https://openalex.org/W4234552385","https://openalex.org/W4293167701","https://openalex.org/W4310631727","https://openalex.org/W4321485561","https://openalex.org/W4385565193"],"related_works":["https://openalex.org/W2031449089","https://openalex.org/W2112596406","https://openalex.org/W2125499229","https://openalex.org/W2072696177","https://openalex.org/W4385304246","https://openalex.org/W4387096269","https://openalex.org/W4387096070","https://openalex.org/W2410610877","https://openalex.org/W2129483036","https://openalex.org/W2368671581"],"abstract_inverted_index":{"With":[0],"the":[1,33,76,96,125,140,153,161,164,167,201,253,259],"rapid":[2],"development":[3],"of":[4,35,98,110,147,166,255],"smart":[5],"TV,":[6],"TV":[7,15,29,241],"recommendation":[8,68],"is":[9,197],"attracting":[10],"more":[11,13],"and":[12,25,38,66,112,163,203,234,248],"users.":[14],"users":[16,46,247],"usually":[17],"distribute":[18],"in":[19,64,88,177],"multiple":[20,48,115,206],"regions":[21,49,116,207],"with":[22,50,215,226],"different":[23,172],"cultures":[24],"hence":[26],"have":[27],"diverse":[28],"program":[30],"preferences.":[31,119],"From":[32],"perspective":[34],"engineering":[36],"practice":[37],"performance":[39],"improvement,":[40],"it's":[41,121],"very":[42],"essential":[43],"to":[44,82,123,138,159,180,190,199,258],"model":[45,124,222,225],"from":[47],"one":[51],"single":[52],"model.":[53,102],"In":[54,70,130],"previous":[55],"work,":[56],"Multi-gate":[57,99,193,223],"Mixture-of-Expert":[58,100],"(MMoE)":[59,101],"has":[60],"been":[61],"widely":[62],"adopted":[63],"multi-task":[65],"multi-domain":[67],"scenarios.":[69],"practice,":[71],"however,":[72],"we":[73,104,133,184],"first":[74,134],"observe":[75],"embeddings":[77,93,146,165],"generated":[78,151,170],"by":[79,152,171,208],"experts":[80,155,173],"tend":[81],"be":[83],"homogeneous":[84],"which":[85],"may":[86],"result":[87],"high":[89],"semantic":[90],"similarities":[91],"among":[92,205],"that":[94],"reduce":[95],"capability":[97],"Secondly,":[103],"also":[105],"find":[106],"there":[107],"are":[108,156,174],"lots":[109],"commonalities":[111,202],"differences":[113,204],"between":[114,128],"regarding":[117],"user":[118],"Therefore,":[120],"meaningful":[122],"complicated":[126],"relationships":[127],"regions.":[129],"this":[131],"paper,":[132],"introduce":[135],"contrastive":[136],"learning":[137],"overcome":[139],"expert":[141],"representation":[142],"degeneration":[143],"problem.":[144],"The":[145],"two":[148],"augmented":[149],"samples":[150,169],"same":[154,168],"pushed":[157,175],"closer":[158],"enhance":[160],"alignment,":[162],"away":[176],"vector":[178],"space":[179],"improve":[181],"uniformity.":[182],"Then":[183],"propose":[185],"a":[186,210,239],"Graph-based":[187,195,227],"Gating":[188,228],"Mechanism":[189,229],"empower":[191],"typical":[192],"Mixture-of-Experts.":[194],"MMoE":[196],"able":[198],"recognize":[200],"introducing":[209],"Graph":[211],"Neural":[212],"Network":[213],"(GNN)":[214],"region":[216],"similarity":[217],"prior.":[218],"We":[219],"name":[220],"our":[221],"Mixture-of-Contrastive-Experts":[224],"(MMoCEG).":[230],"Extensive":[231],"offline":[232],"experiments":[233],"online":[235],"A/B":[236],"tests":[237],"on":[238],"commercial":[240],"service":[242],"provider":[243],"over":[244],"100":[245],"million":[246,250],"2.3":[249],"items":[251],"demonstrate":[252],"efficacy":[254],"MMoCEG":[256],"compared":[257],"existing":[260],"models.":[261]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
