{"id":"https://openalex.org/W4403582517","doi":"https://doi.org/10.1145/3627673.3679743","title":"LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation","display_name":"LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation","publication_year":2024,"publication_date":"2024-10-20","ids":{"openalex":"https://openalex.org/W4403582517","doi":"https://doi.org/10.1145/3627673.3679743"},"language":"en","primary_location":{"id":"doi:10.1145/3627673.3679743","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627673.3679743","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","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/A5043861652","display_name":"Yuhao Wang","orcid":"https://orcid.org/0000-0002-6051-8659"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN","HK"],"is_corresponding":true,"raw_author_name":"Yuhao Wang","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, Hong Kong","Huawei Noah's Ark Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-6051-8659","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042180831","display_name":"Yichao Wang","orcid":"https://orcid.org/0000-0001-7053-8269"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Yichao Wang","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, Hong Kong","Huawei Noah's Ark Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-7053-8269","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111096786","display_name":"Zichuan Fu","orcid":"https://orcid.org/0000-0003-1698-4342"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zichuan Fu","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-1698-4342","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100341816","display_name":"Xiangyang Li","orcid":"https://orcid.org/0000-0003-2862-0239"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyang Li","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-2862-0239","affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059573675","display_name":"Wanyu Wang","orcid":"https://orcid.org/0000-0001-5976-0707"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wanyu Wang","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-5976-0707","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059668989","display_name":"Yuyang Ye","orcid":"https://orcid.org/0000-0002-1513-7814"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuyang Ye","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-1513-7814","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100645854","display_name":"Xiangyu Zhao","orcid":"https://orcid.org/0000-0003-2926-4416"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiangyu Zhao","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-2926-4416","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019541869","display_name":"Huifeng Guo","orcid":"https://orcid.org/0000-0002-7393-8994"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huifeng Guo","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-7393-8994","affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054330014","display_name":"Ruiming Tang","orcid":"https://orcid.org/0000-0002-9224-2431"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiming Tang","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9224-2431","affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5043861652"],"corresponding_institution_ids":["https://openalex.org/I168719708","https://openalex.org/I2250955327"],"apc_list":null,"apc_paid":null,"fwci":4.6099,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.95431323,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2472","last_page":"2481"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9988999962806702,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9979000091552734,"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":0.6824057102203369}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6824057102203369}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3627673.3679743","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627673.3679743","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","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":20,"referenced_works":["https://openalex.org/W2475334473","https://openalex.org/W2809290718","https://openalex.org/W2971196067","https://openalex.org/W3087931390","https://openalex.org/W3154430477","https://openalex.org/W3187615801","https://openalex.org/W3209943551","https://openalex.org/W4213365329","https://openalex.org/W4285294723","https://openalex.org/W4290876156","https://openalex.org/W4296591867","https://openalex.org/W4319653664","https://openalex.org/W4384641542","https://openalex.org/W4385568236","https://openalex.org/W4386721920","https://openalex.org/W4386729641","https://openalex.org/W4386875129","https://openalex.org/W4392384596","https://openalex.org/W4394994587","https://openalex.org/W4400525231"],"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":{"As":[0],"the":[1,16,28,75,115,123,138,158],"demand":[2],"for":[3],"more":[4],"personalized":[5,51,141],"recommendation":[6,20,37,142],"grows":[7],"and":[8,48,71,79,118,140,149,160,170,176,183],"a":[9],"dramatic":[10],"boom":[11],"in":[12,88,102],"commercial":[13],"scenarios":[14,32],"arises,":[15],"study":[17],"on":[18,146,172],"multi-scenario":[19,164],"(MSR)":[21],"has":[22,65],"attracted":[23],"much":[24],"attention,":[25],"which":[26],"uses":[27],"data":[29,184],"from":[30,114],"all":[31],"to":[33,43,56,110,130,135,187],"simultaneously":[34],"improve":[35,137],"their":[36],"performance.":[38,58],"However,":[39],"existing":[40],"methods":[41],"tend":[42],"integrate":[44],"insufficient":[45],"scenario":[46],"knowledge":[47,113],"neglect":[49],"learning":[50],"cross-scenario":[52],"preferences,":[53],"thus":[54],"leading":[55],"sub-optimal":[57],"Meanwhile,":[59],"though":[60],"large":[61],"language":[62],"model":[63],"(LLM)":[64],"shown":[66],"great":[67],"capability":[68],"of":[69,83,155],"reasoning":[70],"capturing":[72],"semantic":[73],"information,":[74],"high":[76,80,168],"inference":[77],"latency":[78],"computation":[81],"cost":[82],"tuning":[84],"hinder":[85],"its":[86],"implementation":[87],"industrial":[89,173],"recommender":[90,174],"systems.":[91],"To":[92],"fill":[93],"these":[94],"gaps,":[95],"we":[96,106],"propose":[97],"an":[98],"LLM-enhanced":[99],"paradigm":[100],"LLM4MSR":[101],"this":[103],"work.":[104],"Specifically,":[105],"first":[107],"leverage":[108],"LLM":[109],"uncover":[111],"multi-level":[112,132],"designed":[116],"scenario-":[117],"user-level":[119],"prompt":[120],"without":[121],"fine-tuning":[122],"LLM,":[124],"then":[125],"adopt":[126],"hierarchical":[127],"meta":[128,133],"networks":[129],"generate":[131],"layers":[134],"explicitly":[136],"scenario-aware":[139],"capability.":[143],"Our":[144],"experiments":[145],"KuaiSAR-small,":[147],"KuaiSAR,":[148],"Amazon":[150],"datasets":[151],"validate":[152],"significant":[153],"advantages":[154],"LLM4MSR:":[156],"(i)":[157],"effectiveness":[159],"compatibility":[161],"with":[162],"different":[163],"backbone":[165],"models,":[166],"(ii)":[167],"efficiency":[169],"deployability":[171],"systems,":[175],"(iii)":[177],"improved":[178],"interpretability.":[179],"The":[180],"implemented":[181],"code":[182],"is":[185],"available":[186],"ease":[188],"reproduction.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}