{"id":"https://openalex.org/W4290944002","doi":"https://doi.org/10.1145/3534678.3539381","title":"Towards Universal Sequence Representation Learning for Recommender Systems","display_name":"Towards Universal Sequence Representation Learning for Recommender Systems","publication_year":2022,"publication_date":"2022-08-12","ids":{"openalex":"https://openalex.org/W4290944002","doi":"https://doi.org/10.1145/3534678.3539381"},"language":"en","primary_location":{"id":"doi:10.1145/3534678.3539381","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3534678.3539381","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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/A5052347581","display_name":"Yupeng Hou","orcid":"https://orcid.org/0000-0002-0747-8010"},"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":"Yupeng Hou","raw_affiliation_strings":["Renmin University of China &amp; Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China &amp; Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008399761","display_name":"Shanlei Mu","orcid":"https://orcid.org/0000-0002-7795-0579"},"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":"Shanlei Mu","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China, 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/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"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 &amp; Beijing Academy of Artificial Intelligence, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China &amp; Beijing Academy of Artificial Intelligence, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046576694","display_name":"Yaliang Li","orcid":"https://orcid.org/0000-0002-4204-6096"},"institutions":[{"id":"https://openalex.org/I4210108985","display_name":"Bellevue Hospital Center","ror":"https://ror.org/01ky34z31","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283621791","https://openalex.org/I4210086933","https://openalex.org/I4210108985"]},{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yaliang Li","raw_affiliation_strings":["Alibaba Group, Bellevue, WA, USA"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Bellevue, WA, USA","institution_ids":["https://openalex.org/I4210095624","https://openalex.org/I4210108985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107914397","display_name":"Bolin Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108985","display_name":"Bellevue Hospital Center","ror":"https://ror.org/01ky34z31","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283621791","https://openalex.org/I4210086933","https://openalex.org/I4210108985"]},{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bolin Ding","raw_affiliation_strings":["Alibaba Group, Bellevue, WA, USA"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Bellevue, WA, USA","institution_ids":["https://openalex.org/I4210095624","https://openalex.org/I4210108985"]}]},{"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 &amp; Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China &amp; Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5052347581"],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":30.0632,"has_fulltext":false,"cited_by_count":228,"citation_normalized_percentile":{"value":0.99828473,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"585","last_page":"593"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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":1.0,"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/T10028","display_name":"Topic Modeling","score":0.9943000078201294,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9904999732971191,"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/computer-science","display_name":"Computer science","score":0.8224552869796753},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6578722596168518},{"id":"https://openalex.org/keywords/sequence-labeling","display_name":"Sequence labeling","score":0.649009644985199},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6180976629257202},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5337166786193848},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5293617248535156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5240978002548218},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5091871619224548},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.4839375615119934},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.45774027705192566},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4211139976978302},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.360274076461792},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32169950008392334},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1099599301815033}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8224552869796753},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6578722596168518},{"id":"https://openalex.org/C35639132","wikidata":"https://www.wikidata.org/wiki/Q7452468","display_name":"Sequence labeling","level":3,"score":0.649009644985199},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6180976629257202},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5337166786193848},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5293617248535156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5240978002548218},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5091871619224548},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.4839375615119934},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.45774027705192566},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4211139976978302},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.360274076461792},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32169950008392334},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1099599301815033},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3534678.3539381","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3534678.3539381","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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":16,"referenced_works":["https://openalex.org/W2127201730","https://openalex.org/W2171279286","https://openalex.org/W2783272285","https://openalex.org/W2899457523","https://openalex.org/W2955141733","https://openalex.org/W2966483207","https://openalex.org/W2984100107","https://openalex.org/W2987679642","https://openalex.org/W3034896171","https://openalex.org/W3087931390","https://openalex.org/W3101707147","https://openalex.org/W3133849783","https://openalex.org/W3139958517","https://openalex.org/W3178835722","https://openalex.org/W3188301284","https://openalex.org/W4220909642"],"related_works":["https://openalex.org/W4399895933","https://openalex.org/W2161221533","https://openalex.org/W4229699405","https://openalex.org/W1666484574","https://openalex.org/W2216382288","https://openalex.org/W2355491300","https://openalex.org/W4234629551","https://openalex.org/W2011110943","https://openalex.org/W2028856635","https://openalex.org/W4251615416"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,17,36,43,50,53,58,91,147,181],"develop":[3],"effective":[4,42],"sequential":[5],"recommenders,":[6],"a":[7,72,106,154,182,186],"series":[8],"of":[9,89,172,193],"sequence":[10,34,75,122,138],"representation":[11,76,139],"learning":[12,77,100,120],"(SRL)":[13],"methods":[14,25,47],"are":[15,48,204],"proposed":[16,82,174,195],"model":[18,203],"historical":[19],"user":[20,39],"behaviors.":[21],"Most":[22],"existing":[23],"SRL":[24,197],"rely":[26],"on":[27,112,166],"explicit":[28],"item":[29,64,102,108],"IDs":[30],"for":[31],"developing":[32],"the":[33,59,85,135,170,173,190,194],"models":[35],"better":[37],"capture":[38],"preference.":[40],"Though":[41],"some":[44],"extent,":[45],"these":[46],"difficult":[49],"be":[51,144],"transferred":[52,146],"new":[54,148],"recommendation":[55,97,149],"scenarios,":[56],"due":[57],"limitation":[60],"by":[61,130],"explicitly":[62],"modeling":[63],"IDs.":[65],"To":[66],"tackle":[67],"this":[68],"issue,":[69],"we":[70,104,124],"present":[71],"novel":[73],"universal":[74,101,121,137,196],"approach,":[78],"named":[79],"UniSRec.":[80],"The":[81,199],"approach":[83,142,178],"utilizes":[84],"associated":[86],"description":[87],"text":[88],"items":[90],"learn":[92],"transferable":[93],"representations":[94],"across":[95],"different":[96],"scenarios.":[98],"For":[99,119],"representations,":[103,123],"design":[105],"lightweight":[107],"encoding":[109],"architecture":[110],"based":[111],"parametric":[113],"whitening":[114],"and":[115,201],"mixture-of-experts":[116],"enhanced":[117],"adaptor.":[118],"introduce":[125],"two":[126],"contrastive":[127],"pre-training":[128],"tasks":[129],"sampling":[131],"multi-domain":[132],"negatives.":[133],"With":[134],"pre-trained":[136,202],"model,":[140],"our":[141,177],"can":[143],"effectively":[145],"domains":[150],"or":[151,160],"platforms":[152],"in":[153,185],"parameter-efficient":[155],"way,":[156],"under":[157],"either":[158],"inductive":[159],"transductive":[161],"settings.":[162],"Extensive":[163],"experiments":[164],"conducted":[165],"real-world":[167],"datasets":[168],"demonstrate":[169],"effectiveness":[171],"approach.":[175],"Especially,":[176],"also":[179],"leads":[180],"performance":[183],"improvement":[184],"cross-platform":[187],"setting,":[188],"showing":[189],"strong":[191],"transferability":[192],"method.":[198],"code":[200],"available":[205],"at:":[206],"https://github.com/RUCAIBox/UniSRec.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":22},{"year":2025,"cited_by_count":97},{"year":2024,"cited_by_count":70},{"year":2023,"cited_by_count":39}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
