{"id":"https://openalex.org/W4416017705","doi":"https://doi.org/10.1145/3746252.3761124","title":"MPFormer: Adaptive Framework for Industrial Multi-Task Personalized Sequential Retriever","display_name":"MPFormer: Adaptive Framework for Industrial Multi-Task Personalized Sequential Retriever","publication_year":2025,"publication_date":"2025-11-08","ids":{"openalex":"https://openalex.org/W4416017705","doi":"https://doi.org/10.1145/3746252.3761124"},"language":null,"primary_location":{"id":"doi:10.1145/3746252.3761124","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746252.3761124","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/A5084833983","display_name":"Yanwu Sun","orcid":"https://orcid.org/0009-0000-8779-2108"},"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":"Yijia Sun","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/A5108719590","display_name":"Shih-Tseng Tina Huang","orcid":"https://orcid.org/0009-0003-9223-9624"},"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":"Shanshan Huang","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/A5120301710","display_name":"Linxiao Che","orcid":"https://orcid.org/0009-0007-1764-811X"},"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":"Linxiao Che","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/A5114078764","display_name":"H. Lu","orcid":"https://orcid.org/0009-0008-2579-451X"},"institutions":[{"id":"https://openalex.org/I4210155967","display_name":"OriginWater (China)","ror":"https://ror.org/04h7gmn81","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210155967"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitao Lu","raw_affiliation_strings":["kuaishou Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"kuaishou Technology, Beijing, China","institution_ids":["https://openalex.org/I4210155967"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111624088","display_name":"Qiang Luo","orcid":"https://orcid.org/0009-0000-8432-5168"},"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":"Qiang Luo","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/A5062939922","display_name":"Kun Gai","orcid":"https://orcid.org/0000-0002-3636-3618"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kun Gai","raw_affiliation_strings":["Unaffiliated, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Unaffiliated, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102865335","display_name":"Guorui Zhou","orcid":"https://orcid.org/0009-0002-8550-279X"},"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":"Guorui Zhou","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":7,"corresponding_author_ids":["https://openalex.org/A5084833983"],"corresponding_institution_ids":["https://openalex.org/I4401726859"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.47000186,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2832","last_page":"2841"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9309999942779541,"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":0.9309999942779541,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.009499999694526196,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.008200000040233135,"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/scalability","display_name":"Scalability","score":0.6477000117301941},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.60589998960495},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4456000030040741},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.42890000343322754},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.36169999837875366},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.3515999913215637}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7653999924659729},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6477000117301941},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.60589998960495},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4456000030040741},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.42890000343322754},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.36169999837875366},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.3515999913215637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.349700003862381},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.29589998722076416},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2937999963760376},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2937000095844269},{"id":"https://openalex.org/C143267671","wikidata":"https://www.wikidata.org/wiki/Q7901856","display_name":"User requirements document","level":2,"score":0.2888000011444092},{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.27869999408721924},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2685000002384186},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2676999866962433},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.2669999897480011},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746252.3761124","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746252.3761124","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2147717514","https://openalex.org/W2171279286","https://openalex.org/W2723293840","https://openalex.org/W2809290718","https://openalex.org/W2963367478","https://openalex.org/W2982902390","https://openalex.org/W2984100107","https://openalex.org/W2987999026","https://openalex.org/W3036320503","https://openalex.org/W3080077280","https://openalex.org/W3080642298","https://openalex.org/W3171608958","https://openalex.org/W4244536387"],"related_works":[],"abstract_inverted_index":{"Modern":[0],"industrial":[1,213],"recommendation":[2,165,214],"systems":[3],"encounter":[4],"a":[5,13,90,208],"core":[6],"chal-":[7],"lenge":[8],"of":[9,66,74,132],"multi-stage":[10],"optimization":[11,21],"misalignment:":[12],"significant":[14],"semantic":[15],"gap":[16],"exists":[17],"between":[18],"the":[19,37,41,45,49,72,88,98,145,151,197],"multi-objective":[20,54,198,210],"paradigm":[22,201],"(such":[23],"as":[24],"jointly":[25,110],"optimizing":[26],"click-through":[27],"rate,":[28],"watch":[29],"duration,":[30],"and":[31,40,68,76,115,144,181],"conversion":[32],"rate)":[33],"widely":[34],"used":[35],"in":[36,44,80],"ranking":[38],"phase":[39],"single-objective":[42,58],"modeling":[43],"retrieve":[46,133,199],"phase.":[47],"Although":[48],"main-stream":[50],"industry":[51],"solution":[52,211],"achieves":[53],"coverage":[55],"throughparallel":[56],"multi-path":[57],"retrieve,":[59],"this":[60],"approach":[61],"leads":[62],"to":[63,128,148],"linear":[64],"growth":[65],"training":[67],"serving":[69,168],"resources":[70],"with":[71,191],"number":[73],"objectives":[75],"has":[77,157],"inherent":[78],"limitations":[79],"handling":[81],"loosely":[82],"coupled":[83],"objectives.":[84],"This":[85,155],"paper":[86],"proposes":[87],"MPFormer,":[89],"dynamic":[91,130],"multi-task":[92,116],"Transformer":[93,146],"framework,":[94],"which":[95],"systematically":[96],"addresses":[97],"aforementioned":[99],"issues":[100],"through":[101,118],"three":[102],"innovative":[103],"mechanisms.":[104],"First,":[105],"an":[106],"objective-conditioned":[107],"transformer":[108],"that":[109],"encodes":[111],"user":[112,136,178],"behavior":[113],"sequences":[114],"semantics":[117],"learnable":[119],"attention":[120],"modulation;":[121],"second,":[122],"personalized":[123],"target":[124],"weights":[125],"are":[126],"introduced":[127],"achieve":[129],"adjustment":[131],"results;":[134],"finally,":[135],"personalization":[137],"information":[138],"is":[139],"incorporated":[140],"into":[141,161],"token":[142],"representations":[143],"structure":[147],"further":[149],"enhance":[150],"model's":[152],"representation":[153],"ability.":[154],"framework":[156],"been":[158],"successfully":[159],"integrated":[160],"Kuaishou's":[162],"short":[163],"video":[164],"system,":[166],"stably":[167],"over":[169],"400":[170],"million":[171],"daily":[172,179],"active":[173],"users.":[174],"It":[175],"significantly":[176],"improves":[177],"engagement":[180],"system":[182],"operational":[183],"efficiency.":[184],"Practical":[185],"deployment":[186],"verification":[187],"shows":[188],"that,":[189],"compared":[190],"traditional":[192],"solutions,":[193],"it":[194],"effectively":[195],"optimizes":[196],"iteration":[200],"while":[202],"maintaining":[203],"service":[204],"response":[205],"speed,":[206],"providing":[207],"scalable":[209],"for":[212],"systems.":[215]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-11-08T00:00:00"}
