{"id":"https://openalex.org/W7202343333","doi":"https://doi.org/10.1145/3840395","title":"One Size Does Not Fit All: Adaptive Interest Representation Learning for Multi-interest Recommendation","display_name":"One Size Does Not Fit All: Adaptive Interest Representation Learning for Multi-interest Recommendation","publication_year":2026,"publication_date":"2026-08-13","ids":{"openalex":"https://openalex.org/W7202343333","doi":"https://doi.org/10.1145/3840395"},"language":"en","primary_location":{"id":"doi:10.1145/3840395","doi":"https://doi.org/10.1145/3840395","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3840395","pdf_url":null,"source":{"id":"https://openalex.org/S4387284325","display_name":"ACM Transactions on Recommender Systems","issn_l":"2770-6699","issn":["2770-6699"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-c","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Recommender Systems","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3840395","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072535707","display_name":"Yaokun Liu","orcid":"https://orcid.org/0009-0004-5180-4540","observed_orcids":["https://orcid.org/0009-0004-5180-4540","https://orcid.org/0009-0009-9950-1801"]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yaokun Liu","raw_affiliation_strings":["University of Illinois Urbana-Champaign","University of Illinois at Urbana-Champaign"],"raw_orcid":"https://orcid.org/0009-0004-5180-4540","affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102604763","display_name":"Yifan Liu","orcid":"https://orcid.org/0009-0003-6658-8089","observed_orcids":["https://orcid.org/0009-0003-6658-8089"]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yifan Liu","raw_affiliation_strings":["University of Illinois Urbana-Champaign","University of Illinois at Urbana-Champaign"],"raw_orcid":"https://orcid.org/0009-0003-6658-8089","affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004717172","display_name":"Ruichen Yao","orcid":"https://orcid.org/0009-0000-4175-9775","observed_orcids":["https://orcid.org/0009-0000-4175-9775"]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruichen Yao","raw_affiliation_strings":["University of Illinois Urbana-Champaign"],"raw_orcid":"https://orcid.org/0009-0000-4175-9775","affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143467410","display_name":"Zelin Li","orcid":"https://orcid.org/0009-0000-0479-3333","observed_orcids":["https://orcid.org/0009-0000-0479-3333"]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zelin Li","raw_affiliation_strings":["University of Illinois Urbana-Champaign"],"raw_orcid":"https://orcid.org/0009-0000-0479-3333","affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100391517","display_name":"Dong Wang","orcid":"https://orcid.org/0000-0002-9599-8023","observed_orcids":["https://orcid.org/0000-0002-9599-8023"]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong Wang","raw_affiliation_strings":["University of Illinois Urbana-Champaign"],"raw_orcid":"https://orcid.org/0000-0002-9599-8023","affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.56501676,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":"2","first_page":"1","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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":1.0,"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":0.0,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sequential-recommendation","display_name":"sequential recommendation","score":0.9110000133514404},{"id":"https://openalex.org/keywords/user-interest-modeling","display_name":"user interest modeling","score":0.5979999899864197},{"id":"https://openalex.org/keywords/item-co-occurrence","display_name":"item co-occurrence","score":0.8980000019073486},{"id":"https://openalex.org/keywords/overfitting-and-underfitting","display_name":"overfitting and underfitting","score":0.7879999876022339}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8379999995231628},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7501000165939331},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6560999751091003},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5753999948501587},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5683000087738037},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.542900025844574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5360000133514404},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5090000033378601},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.47369998693466187},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.47209998965263367},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42879998683929443},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4237000048160553},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.39739999175071716},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.35510000586509705},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3231000006198883},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.32100000977516174},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.30160000920295715},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3012000024318695},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.29660001397132874},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C2776475305","wikidata":"https://www.wikidata.org/wiki/Q29627","display_name":"Public interest","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.2777000069618225},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.27549999952316284},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C125014702","wikidata":"https://www.wikidata.org/wiki/Q4680749","display_name":"Adaptive learning","level":2,"score":0.25279998779296875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3840395","doi":"https://doi.org/10.1145/3840395","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3840395","pdf_url":null,"source":{"id":"https://openalex.org/S4387284325","display_name":"ACM Transactions on Recommender Systems","issn_l":"2770-6699","issn":["2770-6699"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-c","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Recommender Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3840395","doi":"https://doi.org/10.1145/3840395","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3840395","pdf_url":null,"source":{"id":"https://openalex.org/S4387284325","display_name":"ACM Transactions on Recommender Systems","issn_l":"2770-6699","issn":["2770-6699"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-c","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Recommender Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2171279286","https://openalex.org/W2512971201","https://openalex.org/W2750004028","https://openalex.org/W2798385737","https://openalex.org/W2798984840","https://openalex.org/W2885195348","https://openalex.org/W2963367478","https://openalex.org/W2964296635","https://openalex.org/W2982902390","https://openalex.org/W2984100107","https://openalex.org/W3080374445","https://openalex.org/W3080642298","https://openalex.org/W3105472188","https://openalex.org/W3116048950","https://openalex.org/W3153468025","https://openalex.org/W3154921101","https://openalex.org/W3172874940","https://openalex.org/W4224309908","https://openalex.org/W4284673697","https://openalex.org/W4297971002","https://openalex.org/W4306317344","https://openalex.org/W4306317750","https://openalex.org/W4382396965","https://openalex.org/W4386729004","https://openalex.org/W4386729443","https://openalex.org/W4392384221","https://openalex.org/W4401863487","https://openalex.org/W7128478661"],"related_works":["https://openalex.org/W4407291799","https://openalex.org/W4226241012","https://openalex.org/W7125972350","https://openalex.org/W4417120250","https://openalex.org/W4412377126","https://openalex.org/W7210287402","https://openalex.org/W4383890579","https://openalex.org/W4385300500","https://openalex.org/W4312694749","https://openalex.org/W7160651405"],"abstract_inverted_index":{"Sequential":[0],"recommendation":[1],"(SR)":[2],"aims":[3],"to":[4,29,49,134,147,175,180,244],"predict":[5],"users\u2019":[6,31],"next":[7],"interactions":[8],"by":[9,234,241],"modeling":[10],"contextual":[11],"patterns":[12],"in":[13,20,219],"their":[14,47],"historical":[15],"behavior":[16,123],"sequences.":[17],"Recent":[18],"advancements":[19],"SR":[21],"introduce":[22],"multi-interest":[23,105],"models":[24],"that":[25,63,112,230],"use":[26],"multiple":[27],"vectors":[28,42],"represent":[30],"diverse":[32],"interests.":[33,191],"However,":[34],"existing":[35],"methods":[36],"predefine":[37],"the":[38,53,115,126,137,154,162,176,186],"number":[39,54,116,188],"of":[40,55,88,117,139,189,237],"interest":[41,66,89,118,131,158,168,203],"as":[43,153],"a":[44,70,86,109],"hyperparameter,":[45],"limiting":[46],"adaptability":[48],"real-world":[50],"scenarios":[51],"where":[52],"interests":[56,173,195],"varies":[57],"across":[58],"users.":[59],"Our":[60],"experiments":[61],"show":[62],"this":[64],"fixed-number":[65],"representation":[67,159],"suffers":[68],"from":[69],"critical":[71],"limitation:":[72],"overfitting":[73],"for":[74,80,104,120,136,157,205,214],"users":[75,81],"with":[76,82],"simple":[77],"interests,":[78,84,150],"underfitting":[79],"complex":[83],"and":[85,184,222,239],"lack":[87,138],"prioritization.":[90],"To":[91],"address":[92],"these":[93],"limitations,":[94],"we":[95,142,165],"propose":[96],"A":[97],"daptive":[98],"i":[99],"nterest":[100],"r":[101],"epresentation":[102],"learning":[103],"Rec":[106],"ommendation":[107],"(AirRec),":[108],"two-stage":[110],"framework":[111],"adaptively":[113,201],"adjusts":[114],"representations":[119,204],"each":[121,206],"user\u2019s":[122,177],"sequence.":[124,208],"Specifically,":[125],"first":[127],"stage":[128],"focuses":[129],"on":[130,225],"foundation":[132],"construction:":[133],"compensate":[135],"auxiliary":[140],"information,":[141],"decompose":[143],"item":[144],"co-occurrence":[145],"data":[146],"extract":[148],"atomic":[149,172,194],"which":[151],"act":[152],"basic":[155],"units":[156],"modeling.":[160],"In":[161],"second":[163],"stage,":[164],"conduct":[166],"user-adaptive":[167],"modeling,":[169],"retaining":[170],"only":[171],"relevant":[174],"interaction":[178],"history":[179],"filter":[181],"out":[182],"noise":[183],"infer":[185],"actual":[187],"underlying":[190],"The":[192,209,247],"selected":[193],"are":[196],"then":[197],"aggregated":[198],"into":[199],"personalized,":[200],"sized":[202],"user":[207],"entire":[210],"process":[211],"is":[212,250],"designed":[213],"parallel":[215],"computation,":[216],"guaranteeing":[217],"efficiency":[218],"both":[220],"training":[221],"inference.":[223],"Experiments":[224],"three":[226],"benchmark":[227],"datasets":[228],"demonstrate":[229],"AirRec":[231],"improves":[232],"NDCG@20":[233],"an":[235],"average":[236],"14.94%":[238],"NDCG@50":[240],"24.73%":[242],"compared":[243],"state-of-the-art":[245],"methods.":[246],"source":[248],"code":[249],"available":[251],"at":[252],"https://github.com/yaokunliu/AirRec.git.":[253]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-08-14T00:00:00"}
