{"id":"https://openalex.org/W7152617005","doi":"https://doi.org/10.1145/3774904.3792092","title":"SEAR: LLM-Powered Sequential Recommendation via Fusion of Collaborative, Semantic, and Rating Information","display_name":"SEAR: LLM-Powered Sequential Recommendation via Fusion of Collaborative, Semantic, and Rating Information","publication_year":2026,"publication_date":"2026-04-09","ids":{"openalex":"https://openalex.org/W7152617005","doi":"https://doi.org/10.1145/3774904.3792092"},"language":null,"primary_location":{"id":"doi:10.1145/3774904.3792092","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792092","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3774904.3792092","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007726938","display_name":"Wei Guan","orcid":"https://orcid.org/0000-0002-8979-6847"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]},{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN","SG"],"is_corresponding":false,"raw_author_name":"Wei Guan","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China and National University of Singapore, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-8979-6847","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China and National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596","https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111554394","display_name":"J. C. CAO","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Cao","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-0036-9436","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101106353","display_name":"Qiqi Cai","orcid":"https://orcid.org/0009-0008-9860-2259"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiqi Cai","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0008-9860-2259","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jianqi Gao","orcid":"https://orcid.org/0000-0002-9840-7866"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqi Gao","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-9840-7866","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001505336","display_name":"Jinyu Cai","orcid":"https://orcid.org/0000-0003-2241-2754"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jinyu Cai","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-2241-2754","affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090171111","display_name":"See-Kiong Ng","orcid":"https://orcid.org/0000-0001-6565-7511"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"See-Kiong Ng","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-6565-7511","affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"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":0.51883896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5731","last_page":"5740"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.19820000231266022,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.19820000231266022,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.12370000034570694,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.10779999941587448,"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/fusion","display_name":"Fusion","score":0.39570000767707825},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.38449999690055847},{"id":"https://openalex.org/keywords/information-fusion","display_name":"Information fusion","score":0.35019999742507935},{"id":"https://openalex.org/keywords/expert-system","display_name":"Expert system","score":0.2863999903202057},{"id":"https://openalex.org/keywords/information-system","display_name":"Information system","score":0.2782999873161316}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6103000044822693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5133000016212463},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.39570000767707825},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3944999873638153},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.38449999690055847},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.35019999742507935},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2904999852180481},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2865000069141388},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.2863999903202057},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.27149999141693115}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3774904.3792092","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792092","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3774904.3792092","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792092","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W2030808931","https://openalex.org/W2469952266","https://openalex.org/W2783272285","https://openalex.org/W2892821876","https://openalex.org/W2963367478","https://openalex.org/W2964352502","https://openalex.org/W2984100107","https://openalex.org/W3065542300","https://openalex.org/W3097021616","https://openalex.org/W3135396887","https://openalex.org/W3156403681","https://openalex.org/W3178835722","https://openalex.org/W3200304555","https://openalex.org/W4224326201","https://openalex.org/W4224940316","https://openalex.org/W4306697257","https://openalex.org/W4318617464","https://openalex.org/W4383265433","https://openalex.org/W4385562487","https://openalex.org/W4386729952","https://openalex.org/W4386729960","https://openalex.org/W4392151641","https://openalex.org/W4392353733","https://openalex.org/W4392384526","https://openalex.org/W4393089625","https://openalex.org/W4393153637","https://openalex.org/W4396843692","https://openalex.org/W4400526084","https://openalex.org/W4405916586","https://openalex.org/W4407375814","https://openalex.org/W4407953541","https://openalex.org/W4408813113","https://openalex.org/W4409364856","https://openalex.org/W4409365070","https://openalex.org/W4409365177","https://openalex.org/W4409365918","https://openalex.org/W4410347591","https://openalex.org/W4415798326"],"related_works":[],"abstract_inverted_index":{"As":[0],"users'":[1],"preferences":[2],"evolve":[3],"over":[4],"time,":[5],"personalized":[6],"online":[7],"services":[8],"increasingly":[9],"rely":[10],"on":[11,167],"sequential":[12,30,113],"recommender":[13],"systems":[14],"to":[15,39,115,133,142],"predict":[16],"future":[17],"interactions":[18,94],"by":[19],"modeling":[20],"patterns":[21,114],"in":[22],"historical":[23],"user":[24,117,158],"behavior.":[25],"However,":[26],"existing":[27],"methods":[28],"for":[29],"recommendation":[31],"(SR)":[32],"face":[33],"two":[34],"key":[35],"challenges:":[36],"they":[37],"struggle":[38],"simultaneously":[40],"leverage":[41],"collaborative,":[42,100,189],"semantic,":[43,73,101,190],"and":[44,47,74,85,102,111,151,179,191],"rating":[45,192],"information,":[46],"the":[48,121,144,168,175,184,188],"use":[49],"of":[50,71,98,123,177,187],"hard":[51],"labels":[52,165],"during":[53],"training":[54],"provides":[55],"limited":[56],"supervision.":[57],"In":[58],"this":[59],"paper,":[60],"we":[61,126,161],"introduce":[62],"SEAR,":[63,178],"an":[64,82],"LLM-powered":[65],"Sequential":[66],"recommEndation":[67],"framework":[68],"via":[69],"fusion":[70],"collAborative,":[72],"Rating":[75],"information.":[76,193],"The":[77,89,104],"proposed":[78],"deep":[79],"model":[80,116,131],"comprises":[81],"embedding":[83,90,146,149],"layer":[84,91],"a":[86,128],"sequence":[87,105],"encoder.":[88],"transforms":[92],"user-item":[93],"into":[95],"three":[96],"types":[97],"embeddings:":[99],"rating.":[103],"encoder":[106],"then":[107,140],"integrates":[108],"these":[109],"embeddings":[110,138],"identifies":[112],"representations.":[118],"To":[119,154],"enhance":[120],"utilization":[122],"item":[124,152],"semantics,":[125],"integrate":[127],"large":[129],"language":[130],"(LLM)":[132],"extract":[134],"LLM":[135],"embeddings.":[136,153],"These":[137],"are":[139],"employed":[141],"initialize":[143],"semantic":[145],"layer,":[147,150],"collaborative":[148],"capture":[155],"more":[156],"nuanced":[157],"behavior":[159],"patterns,":[160],"generate":[162],"preference-weighted":[163],"soft":[164],"based":[166],"next":[169],"k":[170],"interactions.":[171],"Extensive":[172],"experiments":[173],"validate":[174],"effectiveness":[176],"ablation":[180],"studies":[181],"further":[182],"highlight":[183],"distinct":[185],"contributions":[186]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-10T00:00:00"}