{"id":"https://openalex.org/W4321485450","doi":"https://doi.org/10.1145/3539597.3570414","title":"MUSENET: Multi-Scenario Learning for Repeat-Aware Personalized Recommendation","display_name":"MUSENET: Multi-Scenario Learning for Repeat-Aware Personalized Recommendation","publication_year":2023,"publication_date":"2023-02-22","ids":{"openalex":"https://openalex.org/W4321485450","doi":"https://doi.org/10.1145/3539597.3570414"},"language":"en","primary_location":{"id":"doi:10.1145/3539597.3570414","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539597.3570414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixteenth ACM International Conference on Web Search 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/A5081498076","display_name":"Senrong Xu","orcid":"https://orcid.org/0000-0003-4980-9268"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Senrong Xu","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014174145","display_name":"Liangyue Li","orcid":"https://orcid.org/0000-0001-7630-8851"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangyue Li","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068643894","display_name":"Yuan Yao","orcid":"https://orcid.org/0000-0002-6913-6542"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Yao","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025049073","display_name":"Zulong Chen","orcid":"https://orcid.org/0000-0003-0807-6889"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zulong Chen","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053234294","display_name":"Han Wu","orcid":"https://orcid.org/0000-0003-0461-5320"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Wu","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053577740","display_name":"Quan Lu","orcid":"https://orcid.org/0000-0002-4115-3068"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Lu","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068043486","display_name":"Hanghang Tong","orcid":"https://orcid.org/0000-0003-4405-3887"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanghang Tong","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana-Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana-Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5081498076"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":4.5889,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.94930861,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"517","last_page":"525"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9710999727249146,"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"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9422000050544739,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social 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":0.8738565444946289},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8587549328804016},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.8413043022155762},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5412890315055847},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4423287808895111},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3793734312057495},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3767259120941162},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.07007348537445068}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8738565444946289},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8587549328804016},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8413043022155762},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5412890315055847},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4423287808895111},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3793734312057495},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3767259120941162},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.07007348537445068},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3539597.3570414","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539597.3570414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1095970959","https://openalex.org/W1999627569","https://openalex.org/W2008161828","https://openalex.org/W2015563892","https://openalex.org/W2273354069","https://openalex.org/W2282821441","https://openalex.org/W2407044469","https://openalex.org/W2475334473","https://openalex.org/W2486285194","https://openalex.org/W2604202871","https://openalex.org/W2604662567","https://openalex.org/W2605350416","https://openalex.org/W2723293840","https://openalex.org/W2788728386","https://openalex.org/W2791170418","https://openalex.org/W2809284400","https://openalex.org/W2883725317","https://openalex.org/W2912746631","https://openalex.org/W2963981376","https://openalex.org/W2982108874","https://openalex.org/W3004946360","https://openalex.org/W3087931390","https://openalex.org/W3088777230","https://openalex.org/W3097679710","https://openalex.org/W3101681922","https://openalex.org/W3101709902","https://openalex.org/W3124675547","https://openalex.org/W3133510795","https://openalex.org/W3156622960","https://openalex.org/W3156939347","https://openalex.org/W3170713142","https://openalex.org/W3173535767","https://openalex.org/W3206992626","https://openalex.org/W4220819549","https://openalex.org/W4306317305"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W2989932438","https://openalex.org/W4387297750","https://openalex.org/W2186333919"],"abstract_inverted_index":{"Personalized":[0],"recommendation":[1,41,83],"has":[2,47],"been":[3],"instrumental":[4],"in":[5],"many":[6,152],"real":[7],"applications.":[8],"Despite":[9],"the":[10,13,40,55,82,116,125,133,147,178,181,186],"great":[11],"progress,":[12],"underlying":[14],"multi-scenario":[15,97],"characteristics":[16],"(e.g.,":[17],"users":[18],"may":[19,85],"behave":[20],"differently":[21],"under":[22],"different":[23,34],"scenarios)":[24],"are":[25,57],"largely":[26],"ignored":[27],"by":[28,124],"existing":[29,45],"recommender":[30,129],"systems.":[31],"Intuitively,":[32],"modeling":[33,76],"scenarios":[35,56,114],"properly":[36],"could":[37],"significantly":[38],"improve":[39],"accuracy,":[42],"and":[43,60,81,174],"some":[44,89],"work":[46,53],"explored":[48],"this":[49,92],"direction.":[50],"However,":[51],"these":[52],"assumes":[54],"explicitly":[58],"given,":[59],"thus":[61],"becomes":[62],"less":[63],"effective":[64],"when":[65],"such":[66],"information":[67],"is":[68,79,109,158],"unavailable.":[69],"To":[70],"complicate":[71],"things":[72],"further,":[73],"proper":[74],"scenario":[75],"from":[77,115],"data":[78,150],"challenging":[80],"models":[84],"easily":[86],"overfit":[87],"to":[88,110,131,160],"scenarios.":[90],"In":[91],"paper,":[93],"we":[94],"propose":[95],"a":[96,120,143,155],"learning":[98],"framework,":[99],"MUSENET,":[100],"for":[101,142],"personalized":[102],"recommendation.":[103],"The":[104],"key":[105],"idea":[106],"of":[107,128,146,180],"MUSENET":[108],"learn":[111],"multiple":[112],"implicit":[113],"user":[117,148],"behaviors,":[118],"with":[119,185],"careful":[121],"design":[122],"inspired":[123],"causal":[126],"interpretation":[127],"systems":[130],"avoid":[132],"overfitting":[134],"issue.":[135],"Additionally,":[136],"since":[137],"users'":[138,162],"repeat":[139],"consumptions":[140],"account":[141],"large":[144],"part":[145],"behavior":[149],"on":[151,171],"e-commerce":[153],"platforms,":[154],"repeat-aware":[156],"mechanism":[157],"integrated":[159],"handle":[161],"repurchase":[163],"intentions":[164],"within":[165],"each":[166],"scenario.":[167],"Comprehensive":[168],"experimental":[169],"results":[170],"both":[172],"industrial":[173],"public":[175],"datasets":[176],"demonstrate":[177],"effectiveness":[179],"proposed":[182],"approach":[183],"compared":[184],"state-of-the-art":[187],"methods.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}