{"id":"https://openalex.org/W4414360173","doi":"https://doi.org/10.24963/ijcai.2025/380","title":"Attribute Association Driven Multi-Task Learning for Session-based Recommendation","display_name":"Attribute Association Driven Multi-Task Learning for Session-based Recommendation","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414360173","doi":"https://doi.org/10.24963/ijcai.2025/380"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/380","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/380","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","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/A5028167970","display_name":"Xinyao Wang","orcid":"https://orcid.org/0009-0001-3326-7030"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinyao Wang","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065948939","display_name":"Zhizhi Yu","orcid":"https://orcid.org/0000-0001-5954-3593"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhizhi Yu","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009013876","display_name":"Dongxiao He","orcid":"https://orcid.org/0000-0002-1915-4179"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongxiao He","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003769188","display_name":"Liang Yang","orcid":"https://orcid.org/0000-0001-6291-4359"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Yang","raw_affiliation_strings":["School of Artifcial Intelligence, Hebei University of Technology"],"affiliations":[{"raw_affiliation_string":"School of Artifcial Intelligence, Hebei University of Technology","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027428789","display_name":"Jianguo Wei","orcid":"https://orcid.org/0000-0002-8964-9759"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianguo Wei","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112574959","display_name":"Di Jin","orcid":"https://orcid.org/0009-0001-4646-5220"},"institutions":[{"id":"https://openalex.org/I116265982","display_name":"Qinghai University","ror":"https://ror.org/05h33bt13","country_code":"CN","type":"education","lineage":["https://openalex.org/I116265982"]},{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Jin","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University","Key Laboratory of Artifcial Intelligence Application Technology, Qinghai Minzu University"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"Key Laboratory of Artifcial Intelligence Application Technology, Qinghai Minzu University","institution_ids":["https://openalex.org/I116265982"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5028167970"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":3.6264,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.94402761,"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":"3417","last_page":"3425"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9904999732971191,"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":0.9904999732971191,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7501999735832214},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.558899998664856},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.52920001745224},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.517799973487854},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5029000043869019},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.4740000069141388},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4544999897480011},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.44929999113082886}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7709000110626221},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7501999735832214},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.558899998664856},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5454000234603882},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5364999771118164},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.52920001745224},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.517799973487854},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5029000043869019},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4740000069141388},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4544999897480011},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.44929999113082886},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.41370001435279846},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.3790000081062317},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.36039999127388},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3490000069141388},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.32339999079704285},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.321399986743927},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3197000026702881},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.3188999891281128},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.28760001063346863},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2590000033378601},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.2565000057220459},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/380","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/380","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Session-based":[0],"Recommendation":[1],"(SBR)":[2],"aims":[3],"to":[4,31,51,78,118,130],"predict":[5],"users\u2019":[6],"next":[7],"interaction":[8],"based":[9],"on":[10,16,135],"their":[11],"current":[12],"session":[13,84],"without":[14],"relying":[15],"long-term":[17],"profiles.":[18],"Despite":[19],"its":[20],"effectiveness":[21],"in":[22,145],"privacy-preserving":[23],"and":[24,91,123,149],"real-time":[25],"scenarios,":[26],"SBR":[27],"remains":[28],"challenging":[29],"due":[30],"limited":[32],"behavioral":[33],"signals.":[34],"Prior":[35],"methods":[36],"often":[37],"overfit":[38],"co-occurrence":[39],"patterns,":[40],"neglecting":[41],"semantic":[42,80],"priors":[43],"like":[44],"item":[45,53,92,113],"attributes.":[46],"Recent":[47],"studies":[48],"have":[49],"attempted":[50],"incorporate":[52],"attributes":[54],"(e.g.,":[55],"category)":[56],"by":[57],"assigning":[58],"fixed":[59],"embeddings":[60],"shared":[61],"across":[62],"all":[63],"sessions.":[64],"However,":[65],"such":[66],"approaches":[67],"suffer":[68],"from":[69],"two":[70],"key":[71],"limitations:":[72],"1)":[73],"Static":[74],"attribute":[75,90,101],"encoding":[76],"fails":[77],"reflect":[79],"shifts":[81],"under":[82],"different":[83],"contexts.":[85],"2)":[86],"Semantic":[87],"misalignment":[88],"between":[89],"ID":[93],"embeddings.":[94],"To":[95],"address":[96],"these":[97],"issues,":[98],"we":[99],"propose":[100],"association":[102],"driven":[103],"multi-task":[104],"learning":[105],"for":[106],"SBR,":[107],"dubbed":[108],"A\u00b2D-MTL.":[109],"It":[110],"explicitly":[111],"models":[112],"categories":[114],"using":[115],"cross-session":[116],"context":[117],"capture":[119],"user":[120],"potential":[121],"interests":[122],"designs":[124],"an":[125],"adaptive":[126],"sparse":[127],"attention":[128],"mechanism":[129],"suppress":[131],"noise.":[132],"Experimental":[133],"results":[134],"three":[136],"public":[137],"datasets":[138],"demonstrate":[139],"the":[140,154],"superiority":[141],"of":[142],"our":[143],"method":[144],"recommendation":[146],"accuracy":[147],"(P@20)":[148],"ranking":[150],"quality":[151],"(MRR@20),":[152],"validating":[153],"model\u2019s":[155],"effectiveness.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
