{"id":"https://openalex.org/W4414360168","doi":"https://doi.org/10.24963/ijcai.2025/355","title":"Enhancing Long-Tail Bundle Recommendations Utilizing Composition Pattern Modeling","display_name":"Enhancing Long-Tail Bundle Recommendations Utilizing Composition Pattern Modeling","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414360168","doi":"https://doi.org/10.24963/ijcai.2025/355"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/355","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/355","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/A5027757562","display_name":"Tianhui Ma","orcid":"https://orcid.org/0000-0003-3693-3104"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianhui Ma","raw_affiliation_strings":["University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101773372","display_name":"Shuyao Wang","orcid":"https://orcid.org/0009-0002-0439-4249"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyao Wang","raw_affiliation_strings":["University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040762883","display_name":"Zhi Zheng","orcid":"https://orcid.org/0000-0001-7758-8904"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210097554","display_name":"Center for Excellence in Brain Science and Intelligence Technology","ror":"https://ror.org/00vpwhm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Zheng","raw_affiliation_strings":["State Key Laboratory of Cognitive Intelligence, University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Cognitive Intelligence, University of Science and Technology of China","institution_ids":["https://openalex.org/I4210097554","https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101862104","display_name":"Hui Xiong","orcid":"https://orcid.org/0000-0001-6016-6465"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hui Xiong","raw_affiliation_strings":["Department of Computer Science and Engineering, The Hong Kong University of Science and Technology Hong Kong SAR, China","Thrust of Artificial Intelligence, The Hong Kong University of Science and Technology (Guangzhou), China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Hong Kong University of Science and Technology Hong Kong SAR, China","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]},{"raw_affiliation_string":"Thrust of Artificial Intelligence, The Hong Kong University of Science and Technology (Guangzhou), China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027757562"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38444753,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3189","last_page":"3197"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.8170999884605408,"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":0.8170999884605408,"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/bundle","display_name":"Bundle","score":0.8955000042915344},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5212000012397766},{"id":"https://openalex.org/keywords/bundle-adjustment","display_name":"Bundle adjustment","score":0.5188999772071838},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.48429998755455017},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.36640000343322754},{"id":"https://openalex.org/keywords/adapter","display_name":"Adapter (computing)","score":0.28949999809265137},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.2831999957561493}],"concepts":[{"id":"https://openalex.org/C2778134712","wikidata":"https://www.wikidata.org/wiki/Q1047307","display_name":"Bundle","level":2,"score":0.8955000042915344},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7050999999046326},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5212000012397766},{"id":"https://openalex.org/C179458375","wikidata":"https://www.wikidata.org/wiki/Q1020763","display_name":"Bundle adjustment","level":3,"score":0.5188999772071838},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.48429998755455017},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38830000162124634},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.36640000343322754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3495999872684479},{"id":"https://openalex.org/C177284502","wikidata":"https://www.wikidata.org/wiki/Q1005390","display_name":"Adapter (computing)","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.2831999957561493},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.28040000796318054},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2777999937534332},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2669000029563904},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.26600000262260437},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C40231798","wikidata":"https://www.wikidata.org/wiki/Q1333743","display_name":"Composition (language)","level":2,"score":0.25220000743865967}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/355","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/355","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":{"Bundle":[0,94],"recommendation":[1,59,70,115,223],"aims":[2],"to":[3,42,51,62,118,128,149,165,177,196],"provide":[4],"users":[5],"with":[6,201],"a":[7,12,21,25,145,183,192],"one-stop":[8],"service":[9],"by":[10,133],"offering":[11],"collection":[13],"of":[14,28,122,137,169,185],"related":[15],"items.":[16],"However,":[17],"these":[18],"systems":[19],"face":[20],"significant":[22],"challenge,":[23],"where":[24],"small":[26],"portion":[27],"bundles":[29,36,47,106],"accumulate":[30],"most":[31],"interactions":[32,77],"while":[33],"the":[34,75,80,99,120,129,134,151,167,179,198,219,227],"long-tail":[35,46,57,68,228],"receive":[37],"few":[38],"interactions.This":[39],"imbalance":[40],"leads":[41],"poor":[43],"performance":[44,220],"for":[45,110,204],"despite":[48],"their":[49],"potential":[50],"satisfy":[52],"diverse":[53],"user":[54],"needs.":[55],"Existing":[56],"item":[58,81],"methods":[60],"fail":[61],"effectively":[63],"address":[64],"this":[65,88],"problem,":[66],"as":[67,107],"bundle":[69,140,162,180,222],"requires":[71],"not":[72],"only":[73],"capturing":[74],"user-bundle":[76,172],"but":[78],"also":[79],"compositions":[82],"in":[83,87,171],"different":[84,105],"bundles.":[85,206,229],"Therefore,":[86],"paper,":[89],"we":[90,142,175,189],"propose":[91,176,191],"Composition-Aware":[92],"Long-tail":[93],"Recommendation":[95],"(CALBRec),":[96],"which":[97],"leverages":[98],"inherent":[100],"composition":[101,125,153,199],"patterns":[102,126,154,200],"shared":[103,124,152],"across":[104],"valuable":[108],"signals":[109,203],"further":[111,190],"representation":[112],"augmentation":[113],"and":[114,139,155,188],"enhancement.":[116],"Specifically,":[117],"solve":[119],"complexity":[121],"modeling":[123],"due":[127],"exponential":[130],"explosion":[131],"caused":[132],"growing":[135],"number":[136],"items":[138],"sizes,":[141],"first":[143],"introduce":[144],"composition-aware":[146],"tail":[147,205],"adapter":[148],"capture":[150],"then":[156],"adaptively":[157],"integrate":[158],"them":[159],"into":[160,182],"individual":[161],"representations.":[163],"Moreover,":[164],"mitigate":[166],"impact":[168],"noise":[170],"interaction":[173,202],"data,":[174],"map":[178],"representations":[181],"set":[184],"learnable":[186],"prototypes,":[187],"prototype":[193],"learning":[194],"module":[195],"combine":[197],"Extensive":[207],"experiments":[208],"on":[209,221,226],"three":[210],"public":[211],"datasets":[212],"demonstrate":[213],"that":[214],"our":[215],"method":[216],"can":[217],"improve":[218],"significantly,":[224],"especially":[225]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
