{"id":"https://openalex.org/W7116922763","doi":"https://doi.org/10.1145/3786341","title":"Representation-Enhanced Cascading Multi-Level Interest Learning for Multi-Behavior Recommendation","display_name":"Representation-Enhanced Cascading Multi-Level Interest Learning for Multi-Behavior Recommendation","publication_year":2025,"publication_date":"2025-12-23","ids":{"openalex":"https://openalex.org/W7116922763","doi":"https://doi.org/10.1145/3786341"},"language":"en","primary_location":{"id":"doi:10.1145/3786341","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3786341","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-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":null,"display_name":"Hu Liu","orcid":"https://orcid.org/0009-0005-0411-3795"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hu Liu","raw_affiliation_strings":["School of Big Data & Software Engineering, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0005-0411-3795","affiliations":[{"raw_affiliation_string":"School of Big Data & Software Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiao Huang","orcid":"https://orcid.org/0009-0001-7179-1626"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Huang","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0001-7179-1626","affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121089580","display_name":"Wei Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhou","raw_affiliation_strings":["School of Big Data & Software Engineering, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0003-0839-8773","affiliations":[{"raw_affiliation_string":"School of Big Data & Software Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110840325","display_name":"Fengji Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Fengji Luo","raw_affiliation_strings":["School of Civil Engineering, The University of Sydney, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-7460-198X","affiliations":[{"raw_affiliation_string":"School of Civil Engineering, The University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121123556","display_name":"Junhao Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhao Wen","raw_affiliation_strings":["School of Big Data & Software Engineering, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-6561-560X","affiliations":[{"raw_affiliation_string":"School of Big Data & Software Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":null,"display_name":"Hongyu Zhang","orcid":"https://orcid.org/0000-0002-3063-9425"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyu Zhang","raw_affiliation_strings":["School of Big Data & Software Engineering, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-3063-9425","affiliations":[{"raw_affiliation_string":"School of Big Data & Software Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.67994961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"44","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":0.9277999997138977,"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":0.9277999997138977,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.024299999698996544,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.005200000014156103,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/representation","display_name":"Representation (politics)","score":0.6050000190734863},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5623000264167786},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5288000106811523},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4977000057697296},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.47600001096725464},{"id":"https://openalex.org/keywords/preference-learning","display_name":"Preference learning","score":0.45879998803138733},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4350999891757965},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.3984000086784363}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8518000245094299},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6050000190734863},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5623000264167786},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5288000106811523},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4977000057697296},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.47600001096725464},{"id":"https://openalex.org/C181204326","wikidata":"https://www.wikidata.org/wiki/Q7239820","display_name":"Preference learning","level":3,"score":0.45879998803138733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44670000672340393},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4375999867916107},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4350999891757965},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3991999924182892},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.3984000086784363},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.39590001106262207},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.38929998874664307},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.35659998655319214},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.31529998779296875},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2976999878883362},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29739999771118164},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.28130000829696655},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C38764148","wikidata":"https://www.wikidata.org/wiki/Q17098245","display_name":"Interaction information","level":2,"score":0.26809999346733093},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C40506919","wikidata":"https://www.wikidata.org/wiki/Q7452469","display_name":"Sequence learning","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3786341","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3786341","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G332424058","display_name":null,"funder_award_id":"72074036 and 62072060","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1806220264","https://openalex.org/W2517388038","https://openalex.org/W2605350416","https://openalex.org/W2762653287","https://openalex.org/W2807021761","https://openalex.org/W2808446163","https://openalex.org/W2887092413","https://openalex.org/W2893359107","https://openalex.org/W2945827670","https://openalex.org/W2951045934","https://openalex.org/W2996623289","https://openalex.org/W2997014384","https://openalex.org/W2999649805","https://openalex.org/W3035287707","https://openalex.org/W3045200674","https://openalex.org/W3087931390","https://openalex.org/W3094605801","https://openalex.org/W3097300053","https://openalex.org/W3156861396","https://openalex.org/W3175450343","https://openalex.org/W3177890934","https://openalex.org/W3178328486","https://openalex.org/W3194210786","https://openalex.org/W3204479763","https://openalex.org/W4220909642","https://openalex.org/W4223982309","https://openalex.org/W4283702870","https://openalex.org/W4284666445","https://openalex.org/W4285600332","https://openalex.org/W4291127187","https://openalex.org/W4306317311","https://openalex.org/W4322754470","https://openalex.org/W4324359913","https://openalex.org/W4361230837","https://openalex.org/W4372279027","https://openalex.org/W4379382506","https://openalex.org/W4399745176","https://openalex.org/W4399911398","https://openalex.org/W4400524972"],"related_works":[],"abstract_inverted_index":{"Multi-behavior":[0],"recommendation":[1],"leverages":[2],"multiple":[3],"user-item":[4,15],"interaction":[5,105],"information":[6],"to":[7,68,121],"alleviate":[8],"data":[9,57,120],"sparsity.":[10],"Although":[11],"different":[12],"types":[13],"of":[14,23,27,46,80,140,154,157,165],"interactions":[16,25,133],"are":[17,63,115,149],"temporally":[18],"mutually":[19],"exclusive,":[20],"the":[21,43,76,138,141,163,177,195],"sequence":[22,119],"behavioral":[24,61],"consisting":[26],"multi-level":[28,50,98,108,123],"positive":[29,44,109],"feedback":[30,112],"signals":[31],"contains":[32],"rich":[33],"information.":[34,53],"However,":[35],"most":[36],"existing":[37],"studies":[38],"have":[39],"unilaterally":[40],"focused":[41],"on":[42,103],"utility":[45],"auxiliary":[47,158],"behaviors,":[48],"ignoring":[49],"user":[51,99,124],"preference":[52,127],"Effectively":[54],"fusing":[55],"multi-behavioral":[56,104,118],"and":[58,83,110,137,162],"better":[59],"modeling":[60],"dependencies":[62],"urgent":[64],"problems":[65],"that":[66,190],"need":[67],"be":[69],"addressed":[70],"for":[71,97,145],"multi-behavior":[72,132],"recommendation.":[73],"We":[74],"propose":[75],"p":[77,81],"arallel":[78],"learning":[79,101,148,164],"ositive":[82],"n":[84],"egative":[85],"interests":[86],"with":[87],"an":[88],"a":[89,172,182],"uxiliary-view":[90],"r":[91],"epresentation":[92],"e":[93],"nhancement":[94],"(PPN-ARE)":[95],"scheme":[96],"interest":[100],"based":[102],"sequences.":[106],"Specifically,":[107],"negative":[111],"view":[113],"chains":[114],"constructed":[116],"from":[117],"learn":[122],"interests.":[125],"User":[126],"evolution":[128],"is":[129,160,168,179,202],"simulated":[130],"during":[131],"using":[134,181],"residual":[135],"connections,":[136],"shortcomings":[139],"cascading":[142],"structure":[143],"used":[144],"higher-order":[146],"graph":[147],"analytically":[150],"highlighted.":[151],"The":[152,186,198],"influence":[153],"low-quality":[155],"embeddings":[156],"behaviors":[159,167],"filtered,":[161],"target":[166],"optimized":[169,180],"by":[170],"designing":[171],"representation":[173],"enhancement":[174],"layer.":[175],"Finally,":[176],"model":[178],"multi-task":[183],"training":[184],"framework.":[185],"experimental":[187],"results":[188],"indicate":[189],"PPN-ARE":[191],"significantly":[192],"improved":[193],"over":[194],"state-of-the-art":[196],"(SOTA).":[197],"open":[199],"source":[200],"code":[201],"available":[203],"at":[204],"https://github.com/lhybq/PPN-ARE":[205],".":[206]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-12-23T00:00:00"}