{"id":"https://openalex.org/W4293167701","doi":"https://doi.org/10.1145/3511808.3557154","title":"Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation","display_name":"Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4293167701","doi":"https://doi.org/10.1145/3511808.3557154"},"language":"en","primary_location":{"id":"doi:10.1145/3511808.3557154","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557154","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2208.11457","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yuanliang Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuanliang Zhang","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029247516","display_name":"Xiaofeng Wang","orcid":"https://orcid.org/0000-0002-0861-8193"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Wang","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032933252","display_name":"Jinxin Hu","orcid":"https://orcid.org/0000-0002-7252-5207"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinxin Hu","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020095072","display_name":"Ke Gao","orcid":"https://orcid.org/0000-0002-3612-9805"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Gao","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046590511","display_name":"Chenyi Lei","orcid":"https://orcid.org/0000-0001-6287-3673"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyi Lei","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100688786","display_name":"Fei Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Fang","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I45928872"],"apc_list":null,"apc_paid":null,"fwci":2.4793,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.91250893,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3674","last_page":"3683"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9921000003814697,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9887999892234802,"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/computer-science","display_name":"Computer science","score":0.8581991195678711},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.579395055770874},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5774818658828735},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5611656904220581},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5601184964179993},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.507351815700531},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4958847463130951},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4813154935836792},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4621587097644806},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4256213307380676},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3380775451660156}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8581991195678711},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.579395055770874},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5774818658828735},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5611656904220581},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5601184964179993},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.507351815700531},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4958847463130951},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4813154935836792},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4621587097644806},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4256213307380676},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3380775451660156},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3511808.3557154","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557154","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2208.11457","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2208.11457","pdf_url":"https://arxiv.org/pdf/2208.11457","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:2208.11457","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2208.11457","pdf_url":"https://arxiv.org/pdf/2208.11457","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":[{"id":"https://metadata.un.org/sdg/9","score":0.4000000059604645,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W2040367556","https://openalex.org/W2136189984","https://openalex.org/W2157331557","https://openalex.org/W2606642831","https://openalex.org/W2796608345","https://openalex.org/W2799125281","https://openalex.org/W2809290718","https://openalex.org/W2896457183","https://openalex.org/W2937556626","https://openalex.org/W2962989965","https://openalex.org/W2963420272","https://openalex.org/W2963877604","https://openalex.org/W2964369530","https://openalex.org/W2972132054","https://openalex.org/W2979563851","https://openalex.org/W2982902390","https://openalex.org/W2984100107","https://openalex.org/W2987999026","https://openalex.org/W2994850640","https://openalex.org/W2996891863","https://openalex.org/W2998702515","https://openalex.org/W3005680577","https://openalex.org/W3034238904","https://openalex.org/W3034345128","https://openalex.org/W3034969702","https://openalex.org/W3036320503","https://openalex.org/W3048025970","https://openalex.org/W3065542300","https://openalex.org/W3080374445","https://openalex.org/W3087931390","https://openalex.org/W3094280243","https://openalex.org/W3094431459","https://openalex.org/W3094605801","https://openalex.org/W3098400049","https://openalex.org/W3098468692","https://openalex.org/W3100260481","https://openalex.org/W3123878450","https://openalex.org/W3131444225","https://openalex.org/W3142993332","https://openalex.org/W3153325943","https://openalex.org/W3170587616","https://openalex.org/W3171007011","https://openalex.org/W3171249018","https://openalex.org/W3206992626","https://openalex.org/W3208338073","https://openalex.org/W3209943551","https://openalex.org/W3210268599","https://openalex.org/W4287592659","https://openalex.org/W4291167234","https://openalex.org/W4293718192","https://openalex.org/W4310646624"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"Multi-scenario":[0],"recommendation":[1,18,266],"is":[2,14,36,44,173,178,199],"dedicated":[3],"to":[4,45,115,136,146],"retrieve":[5],"relevant":[6],"items":[7,62,217],"for":[8,59,76],"users":[9,27,60],"in":[10,16,26,149,203,218,253,270],"multiple":[11,64,89],"scenarios,":[12],"which":[13,71],"ubiquitous":[15],"industrial":[17,227],"systems.":[19],"These":[20],"scenarios":[21,35],"enjoy":[22],"portions":[23],"of":[24,33,41,50,81,94,161,216,232,268],"overlaps":[25],"and":[28,53,61,83,111,138,153,171,193,206,226],"items,":[29],"while":[30],"the":[31,48,117,159,187,230,233],"distribution":[32],"different":[34,219],"different.":[37],"The":[38,175,197],"key":[39],"point":[40],"multi-scenario":[42,77,100,263],"modeling":[43],"efficiently":[46],"maximize":[47],"use":[49],"whole-scenario":[51],"information":[52,85,142],"granularly":[54],"generate":[55],"adaptive":[56],"representations":[57,215],"both":[58,202],"among":[63,88],"scenarios.":[65,90,220],"we":[66,107,123,211],"summarize":[67],"three":[68,118],"practical":[69],"challenges":[70,119],"are":[72],"not":[73],"well":[74],"solved":[75],"modeling:":[78],"(1)":[79],"Lacking":[80],"fine-grained":[82,152],"decoupled":[84,154],"transfer":[86,141],"controls":[87],"(2)":[91],"Insufficient":[92],"exploitation":[93],"entire":[95,162],"space":[96,163],"samples.":[97],"(3)":[98],"Item's":[99],"representation":[101],"disentanglement":[102],"problem.":[103],"In":[104],"this":[105],"paper,":[106],"propose":[108],"a":[109,125,150,165,181],"Scenario-Adaptive":[110],"Self-Supervised":[112],"(SASS)":[113],"model":[114,198,235,240],"solve":[116],"mentioned":[120],"above.":[121],"Specifically,":[122],"design":[124],"Multi-Layer":[126],"Scenario":[127],"Adaptive":[128],"Transfer":[129],"(ML-SAT)":[130],"module":[131],"with":[132,186],"scenario-adaptive":[133],"gate":[134],"units":[135],"select":[137],"fuse":[139],"effective":[140],"from":[143,191],"whole":[144],"scenario":[145,148],"individual":[147],"quite":[151],"way.":[155],"To":[156],"sufficiently":[157],"exploit":[158],"power":[160],"samples,":[164],"two-stage":[166],"training":[167,188],"process":[168],"including":[169],"pre-training":[170,176],"fine-tune":[172],"introduced.":[174],"stage":[177],"based":[179],"on":[180,224,247,262],"scenario-supervised":[182],"contrastive":[183],"learning":[184],"task":[185],"samples":[189],"drawn":[190],"labeled":[192],"unlabeled":[194],"data":[195],"spaces.":[196],"created":[200],"symmetrically":[201],"user":[204],"side":[205],"item":[207],"side,":[208],"so":[209],"that":[210],"can":[212],"get":[213],"distinguishing":[214],"Extensive":[221],"experimental":[222],"results":[223],"public":[225],"datasets":[228],"demonstrate":[229],"superiority":[231],"SASS":[234,257],"over":[236],"state-of-the-art":[237],"methods.":[238],"This":[239],"also":[241],"achieves":[242],"more":[243],"than":[244],"8.0%":[245],"improvement":[246],"Average":[248],"Watching":[249],"Time":[250],"Per":[251],"User":[252],"online":[254],"A/B":[255],"tests.":[256],"has":[258],"been":[259],"successfully":[260],"deployed":[261],"short":[264],"video":[265],"platform":[267],"Taobao":[269],"Alibaba.":[271]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}