{"id":"https://openalex.org/W4408353759","doi":"https://doi.org/10.1109/icassp49660.2025.10890119","title":"A Pre-trained Plug-in Mixture-of-LoRAs Model for Transferable Sequential Recommendation","display_name":"A Pre-trained Plug-in Mixture-of-LoRAs Model for Transferable Sequential Recommendation","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408353759","doi":"https://doi.org/10.1109/icassp49660.2025.10890119"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10890119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890119","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5044309642","display_name":"Wenqi Sun","orcid":"https://orcid.org/0000-0003-2230-4219"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenqi Sun","raw_affiliation_strings":["Renmin University of China,Gaoling School of Artificial Intelligence,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China,Gaoling School of Artificial Intelligence,Beijing,China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101577090","display_name":"Ruobing Xie","orcid":"https://orcid.org/0000-0003-3170-5647"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruobing Xie","raw_affiliation_strings":["Tencent Inc.,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tencent Inc.,Beijing,China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102844742","display_name":"Junjie Zhang","orcid":"https://orcid.org/0009-0008-8864-915X"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Zhang","raw_affiliation_strings":["Renmin University of China,Gaoling School of Artificial Intelligence,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China,Gaoling School of Artificial Intelligence,Beijing,China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zitian Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zitian Guo","raw_affiliation_strings":["Renmin University of China,School of Economics,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China,School of Economics,Beijing,China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037145565","display_name":"Wayne Xin Zhao","orcid":"https://orcid.org/0000-0002-8333-6196"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wayne Xin Zhao","raw_affiliation_strings":["Renmin University of China,Gaoling School of Artificial Intelligence,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China,Gaoling School of Artificial Intelligence,Beijing,China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020128898","display_name":"Zhanhui Kang","orcid":"https://orcid.org/0009-0006-5151-4222"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanhui Kang","raw_affiliation_strings":["Tencent Inc.,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tencent Inc.,Beijing,China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025631695","display_name":"Ji-Rong Wen","orcid":"https://orcid.org/0000-0002-9777-9676"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji-Rong Wen","raw_affiliation_strings":["Renmin University of China,Gaoling School of Artificial Intelligence,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China,Gaoling School of Artificial Intelligence,Beijing,China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5044309642"],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0527632,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9538000226020813,"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":0.9538000226020813,"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/computer-science","display_name":"Computer science","score":0.6085288524627686},{"id":"https://openalex.org/keywords/plug-in","display_name":"Plug-in","score":0.5610954761505127},{"id":"https://openalex.org/keywords/spark-plug","display_name":"Spark plug","score":0.5000221729278564},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13002607226371765},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1046697199344635},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.07913577556610107}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6085288524627686},{"id":"https://openalex.org/C4924752","wikidata":"https://www.wikidata.org/wiki/Q184148","display_name":"Plug-in","level":2,"score":0.5610954761505127},{"id":"https://openalex.org/C164205550","wikidata":"https://www.wikidata.org/wiki/Q193340","display_name":"Spark plug","level":2,"score":0.5000221729278564},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13002607226371765},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1046697199344635},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.07913577556610107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10890119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890119","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":20,"referenced_works":["https://openalex.org/W2963367478","https://openalex.org/W2966483207","https://openalex.org/W2971196067","https://openalex.org/W2984100107","https://openalex.org/W3065542300","https://openalex.org/W4220974940","https://openalex.org/W4283065823","https://openalex.org/W4290944002","https://openalex.org/W4296591867","https://openalex.org/W4365792361","https://openalex.org/W4385562487","https://openalex.org/W4386114032","https://openalex.org/W4386728864","https://openalex.org/W4389520443","https://openalex.org/W4400909732","https://openalex.org/W6732520560","https://openalex.org/W6784333009","https://openalex.org/W6795484901","https://openalex.org/W6796581206","https://openalex.org/W6865284601"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W47352601","https://openalex.org/W2981957539","https://openalex.org/W4287378204","https://openalex.org/W1908382039","https://openalex.org/W2461489085","https://openalex.org/W2545422590","https://openalex.org/W4240705470"],"abstract_inverted_index":{"The":[0],"goal":[1],"of":[2,12,89,97,115,159,218],"transferable":[3,27,104,199,228],"sequential":[4,13,28,73,98,160,200],"recommendation":[5,161],"(TSR)":[6],"is":[7,184,193,236],"to":[8,39,67,81,130,166,195,202],"improve":[9],"the":[10,40,87,147,168,176,213],"performance":[11],"recommenders":[14,29,74,99,201],"in":[15,50,75,181,232],"multiple":[16],"target":[17],"domains":[18,44,71],"leveraging":[19],"knowledge":[20],"transferred":[21],"from":[22],"source":[23],"domains.":[24],"Most":[25],"existing":[26],"rely":[30],"on":[31,58,136],"item":[32,106,133,138,148,187,204,229],"modality":[33,139],"information":[34,143],"but":[35],"pay":[36],"insufficient":[37],"attention":[38],"significant":[41],"differences":[42],"across":[43],"(i.e.,":[45],"distinctive":[46],"user":[47,141],"behavior":[48,142],"characteristics)":[49],"recommender":[51],"systems.":[52],"Besides,":[53],"they":[54],"are":[55],"typically":[56],"built":[57],"specific":[59],"pre-trained":[60,112],"model":[61,65,118,216],"structures,":[62],"limiting":[63],"their":[64],"generalization":[66,217],"various":[68],"different":[69],"downstream":[70],"and":[72,94,103,140,150,215,227],"practical":[76,222],"applications.":[77],"This":[78],"paper":[79],"aims":[80],"address":[82],"these":[83],"issues":[84],"by":[85],"exploring":[86],"potential":[88],"mixture-of-LoRAs":[90,177],"based":[91,127,135,178],"domain":[92,128,151,179],"adaption":[93,117],"an":[95,157],"ensemble":[96,158],"for":[100,119,144,208,224],"learning":[101,165,190,225],"generalizable":[102,226],"domain-adaptive":[105,132],"representations.":[107],"We":[108],"propose":[109],"MoL-TSR,":[110,219],"a":[111,125,172,185,221],"plug-in":[113,186],"mixture":[114],"low-rank":[116],"TSR.":[120],"Specifically,":[121],"we":[122,155],"first":[123],"devise":[124],"mixture-ofLoRAs":[126],"projector":[129,180],"produce":[131],"representations":[134,231],"both":[137],"recommendation,":[145],"enhancing":[146],"discrimination":[149],"transfer":[152],"ability.":[153],"Then,":[154],"pre-train":[156],"models":[162],"with":[163],"contrastive":[164],"enhance":[167,203],"model-aspect":[169],"generalization.":[170],"As":[171],"general":[173],"pretrained":[174],"model,":[175],"our":[182],"MoL-TSR":[183],"semantic":[188,230],"representation":[189],"module,":[191],"which":[192],"convenient":[194],"migrate":[196],"into":[197],"other":[198],"semantics":[205],"better":[206],"suited":[207],"recommendation.":[209,233],"Extensive":[210],"experiments":[211],"demonstrate":[212],"effectiveness":[214],"promising":[220],"solution":[223],"Our":[234],"code":[235],"available":[237],"at":[238],"https://github.com/RUCAIBox/MoL-TSR.":[239]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}