{"id":"https://openalex.org/W4412825845","doi":"https://doi.org/10.1145/3711896.3737059","title":"Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential Recommendation","display_name":"Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential Recommendation","publication_year":2025,"publication_date":"2025-08-01","ids":{"openalex":"https://openalex.org/W4412825845","doi":"https://doi.org/10.1145/3711896.3737059"},"language":"en","primary_location":{"id":"doi:10.1145/3711896.3737059","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3711896.3737059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"type":"conference-paper","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/A5026399044","display_name":"Chunlan He","orcid":"https://orcid.org/0009-0001-2054-0974"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan He","raw_affiliation_strings":["Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-2054-0974","affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100617992","display_name":"Yongchao Liu","orcid":"https://orcid.org/0000-0003-3440-9675"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yongchao Liu","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3440-9675","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100378868","display_name":"Qiang Li","orcid":"https://orcid.org/0009-0008-7064-8167"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Li","raw_affiliation_strings":["Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0008-7064-8167","affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080477405","display_name":"Weiqiang Wang","orcid":"https://orcid.org/0000-0002-6159-619X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weiqiang Wang","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6159-619X","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019052047","display_name":"Xing Fu","orcid":"https://orcid.org/0000-0002-3536-2779"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xing Fu","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3536-2779","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119152043","display_name":"Xinyi Fu","orcid":"https://orcid.org/0000-0002-5260-3992"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xinyi Fu","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5260-3992","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035673416","display_name":"Chuntao Hong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chuntao Hong","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0009-3472-6102","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028576346","display_name":"Xin\u2010Wei Yao","orcid":"https://orcid.org/0000-0001-6352-3165"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwei Yao","raw_affiliation_strings":["Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6352-3165","affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"872","last_page":"883"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9818000197410583,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9796000123023987,"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/computer-science","display_name":"Computer science","score":0.6600764989852905},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5442273616790771},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5025990009307861},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.10123848915100098},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07032439112663269},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.06595537066459656},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06540727615356445},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06057998538017273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6600764989852905},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5442273616790771},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5025990009307861},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.10123848915100098},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07032439112663269},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.06595537066459656},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06540727615356445},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06057998538017273}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3711896.3737059","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3711896.3737059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W2723293840","https://openalex.org/W2746011824","https://openalex.org/W2783272285","https://openalex.org/W2809112621","https://openalex.org/W2899457523","https://openalex.org/W2942947041","https://openalex.org/W2951369132","https://openalex.org/W2962745591","https://openalex.org/W2963367478","https://openalex.org/W2963604523","https://openalex.org/W2964926209","https://openalex.org/W2984100107","https://openalex.org/W2996931760","https://openalex.org/W3035287707","https://openalex.org/W3035666843","https://openalex.org/W3045200674","https://openalex.org/W3093601757","https://openalex.org/W3093862905","https://openalex.org/W3100199015","https://openalex.org/W3101707147","https://openalex.org/W3152943193","https://openalex.org/W3171705101","https://openalex.org/W3177890934","https://openalex.org/W3178835722","https://openalex.org/W3206932362","https://openalex.org/W4212931205","https://openalex.org/W4224316956","https://openalex.org/W4225791184","https://openalex.org/W4284668205","https://openalex.org/W4284701627","https://openalex.org/W4284702440","https://openalex.org/W4284704096","https://openalex.org/W4285252216","https://openalex.org/W4285428788","https://openalex.org/W4290948593","https://openalex.org/W4306317296","https://openalex.org/W4306317325","https://openalex.org/W4321485796","https://openalex.org/W4382239673","https://openalex.org/W4384641232","https://openalex.org/W4384655811","https://openalex.org/W4388187265","https://openalex.org/W4396735047"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Sequential":[0,46],"recommendation":[1,189],"(SR)":[2],"aims":[3],"to":[4,11,83,124,161],"predict":[5],"the":[6,23,50,73,76,133,163,177],"next":[7],"purchasing":[8],"item":[9],"according":[10],"users'":[12],"dynamic":[13,28,77],"preference":[14,80,157,173],"learned":[15],"from":[16],"their":[17],"historical":[18,113,137],"user-item":[19],"interactions.":[20],"To":[21,93],"improve":[22],"performance":[24],"of":[25,112],"recommendation,":[26],"learning":[27],"heterogeneous":[29,57],"cross-type":[30],"behavior":[31],"dependencies":[32,59,67],"is":[33,68,81,122,159,193],"indispensable":[34],"for":[35],"recommender":[36],"system.":[37],"However,":[38],"there":[39],"still":[40,69],"exists":[41],"some":[42],"challenges":[43],"in":[44,85,116,131],"Multi-Behavior":[45],"Recommendation":[47],"(MBSR).":[48],"On":[49,72],"one":[51],"hand,":[52,75],"existing":[53],"methods":[54],"only":[55],"model":[56],"multi-behavior":[58,127],"at":[60,140],"behavior-level":[61],"or":[62],"item-level,":[63],"and":[64],"modeling":[65],"interaction-level":[66,110,126],"a":[70,99,117,148],"challenge.":[71],"other":[74],"multi-grained":[78,155,172],"behavior-aware":[79,171],"hard":[82],"capture":[84],"interaction":[86],"sequences,":[87],"which":[88,132],"reflects":[89],"interaction-aware":[90,164],"sequential":[91,165],"pattern.":[92],"tackle":[94],"these":[95],"challenges,":[96],"we":[97],"propose":[98],"Multi-Grained":[100],"Preference":[101],"enhanced":[102,167],"Transformer":[103],"framework":[104],"(M-GPT).":[105],"First,":[106],"M-GPT":[107,184],"constructs":[108],"an":[109],"graph":[111,120],"cross-typed":[114,138],"interactions":[115,139],"sequence.":[118],"Then":[119],"convolution":[121],"performed":[123],"derive":[125],"dependency":[128],"representation":[129],"repeatedly,":[130],"complex":[134],"correlation":[135],"between":[136],"specific":[141],"orders":[142],"can":[143],"be":[144],"well":[145],"learned.":[146],"Secondly,":[147],"novel":[149],"multifaceted":[150],"transformer":[151],"architecture":[152],"equipped":[153],"with":[154],"user":[156],"extraction":[158],"proposed":[160],"encode":[162],"pattern":[166],"by":[168],"capturing":[169],"temporal":[170],".":[174],"Experiments":[175],"on":[176],"real-world":[178],"datasets":[179],"indicate":[180],"that":[181],"our":[182],"method":[183],"consistently":[185],"outperforms":[186],"various":[187],"state-of-the-art":[188],"methods.":[190],"Our":[191],"code":[192],"available":[194],"at:":[195],"https://github.com/hchchchchchchc/MGPT.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}