{"id":"https://openalex.org/W4392368241","doi":"https://doi.org/10.1145/3616855.3635859","title":"MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems","display_name":"MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems","publication_year":2024,"publication_date":"2024-03-04","ids":{"openalex":"https://openalex.org/W4392368241","doi":"https://doi.org/10.1145/3616855.3635859"},"language":"en","primary_location":{"id":"doi:10.1145/3616855.3635859","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3616855.3635859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th 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/A5003106644","display_name":"Dugang Liu","orcid":"https://orcid.org/0000-0003-3612-709X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dugang Liu","raw_affiliation_strings":["Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071694037","display_name":"Chaohua Yang","orcid":"https://orcid.org/0009-0006-8555-2841"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaohua Yang","raw_affiliation_strings":["Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071989106","display_name":"Xing Tang","orcid":"https://orcid.org/0000-0003-4360-0754"},"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":"Xing Tang","raw_affiliation_strings":["Tencent, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062469929","display_name":"Yejing Wang","orcid":"https://orcid.org/0000-0003-2852-9910"},"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":"Yejing Wang","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079054140","display_name":"Fuyuan Lyu","orcid":"https://orcid.org/0000-0001-9345-1828"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fuyuan Lyu","raw_affiliation_strings":["McGill University, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"McGill University, Montreal, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094046476","display_name":"Weihong Luo","orcid":"https://orcid.org/0009-0004-4329-4923"},"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":"Weihong Luo","raw_affiliation_strings":["Tencent, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083350101","display_name":"Xiuqiang He","orcid":"https://orcid.org/0000-0002-4115-8205"},"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":"Xiuqiang He","raw_affiliation_strings":["Tencent, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100633973","display_name":"Zhong Ming","orcid":"https://orcid.org/0000-0001-9310-3460"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Ming","raw_affiliation_strings":["Shenzhen Technology University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Technology University, Shenzhen, China","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"last","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, China"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5003106644"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":12.9243,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.98590553,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"434","last_page":"442"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.996999979019165,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9894999861717224,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8368595838546753},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6940943002700806},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6373645663261414},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.5866576433181763},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5440603494644165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5098999738693237},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48450276255607605},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.45517921447753906},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3781726658344269}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8368595838546753},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6940943002700806},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6373645663261414},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.5866576433181763},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5440603494644165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5098999738693237},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48450276255607605},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.45517921447753906},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3781726658344269},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3616855.3635859","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3616855.3635859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1769245271","display_name":null,"funder_award_id":"62272315","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G553902691","display_name":null,"funder_award_id":"Start-up","funder_id":"https://openalex.org/F4320309893","funder_display_name":"City University of Hong Kong"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6058138561","display_name":null,"funder_award_id":", No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6435494594","display_name":null,"funder_award_id":"62302310,62272315","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G7271486925","display_name":null,"funder_award_id":"9360163","funder_id":"https://openalex.org/F4320309893","funder_display_name":"City University of Hong Kong"},{"id":"https://openalex.org/G8226490486","display_name":null,"funder_award_id":"9360163","funder_id":"https://openalex.org/F4320334123","funder_display_name":"Hong Kong Institute for Data Science"}],"funders":[{"id":"https://openalex.org/F4320307285","display_name":"Impact Fund","ror":"https://ror.org/00jb20j87"},{"id":"https://openalex.org/F4320309893","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23"},{"id":"https://openalex.org/F4320319065","display_name":"Aromatic Plant Research Center","ror":"https://ror.org/05eebgw43"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"},{"id":"https://openalex.org/F4320326427","display_name":"Innovation and Technology Fund","ror":null},{"id":"https://openalex.org/F4320334123","display_name":"Hong Kong Institute for Data Science","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2011399509","https://openalex.org/W2100068253","https://openalex.org/W2135046866","https://openalex.org/W2145360759","https://openalex.org/W2475334473","https://openalex.org/W2602856279","https://openalex.org/W2604662567","https://openalex.org/W2809290718","https://openalex.org/W2964182926","https://openalex.org/W3087931390","https://openalex.org/W3094431459","https://openalex.org/W3155127799","https://openalex.org/W3187615801","https://openalex.org/W3190445275","https://openalex.org/W3206992626","https://openalex.org/W3209943551","https://openalex.org/W4213365329","https://openalex.org/W4224227049","https://openalex.org/W4288083766","https://openalex.org/W4290874950","https://openalex.org/W4293167701","https://openalex.org/W4294977709","https://openalex.org/W4306317208","https://openalex.org/W4313558118","https://openalex.org/W4321485450","https://openalex.org/W4367046995","https://openalex.org/W4367047307","https://openalex.org/W4384641542","https://openalex.org/W4384828482","https://openalex.org/W4385568236","https://openalex.org/W4386730245","https://openalex.org/W4386798597"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4317039510","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Multi-scenario":[0],"recommender":[1,61],"systems":[2,62],"(MSRSs)":[3],"have":[4,40],"been":[5],"increasingly":[6],"used":[7],"in":[8,16],"real-world":[9],"industrial":[10],"platforms":[11],"for":[12,59,103,165],"their":[13],"excellent":[14],"advantages":[15],"mitigating":[17],"data":[18],"sparsity":[19],"and":[20,33,50,94,157,171],"reducing":[21],"maintenance":[22],"costs.":[23],"However,":[24],"conventional":[25],"MSRSs":[26],"usually":[27],"use":[28],"all":[29,114],"relevant":[30],"features":[31,39,102,164],"indiscriminately":[32],"ignore":[34],"that":[35],"different":[36,44,166],"kinds":[37],"of":[38,67,136],"varying":[41],"importance":[42,112,129],"under":[43],"scenarios,":[45],"which":[46,87],"may":[47,63],"cause":[48],"confusion":[49],"performance":[51,180],"degradation.":[52],"In":[53,70],"addition,":[54],"existing":[55],"feature":[56,79,111,128],"selection":[57,80],"methods":[58],"deep":[60],"lack":[64],"the":[65,115,137,147,152,159,177],"exploration":[66],"scenario":[68,92],"relations.":[69],"this":[71,85],"paper,":[72],"we":[73],"propose":[74],"a":[75,96,118,134],"novel":[76],"automated":[77],"multi-scenario":[78,178,186],"(MultiFS)":[81],"framework":[82],"to":[83,90,100,126,130,150,161,175],"bridge":[84],"gap,":[86],"is":[88],"able":[89],"consider":[91],"relations":[93],"utilize":[95],"hierarchical":[97],"gating":[98],"mechanism":[99,154],"select":[101,162],"each":[104],"scenario.":[105],"Specifically,":[106],"MultiFS":[107,143,170],"first":[108],"efficiently":[109],"obtains":[110],"across":[113],"scenarios":[116,132],"through":[117,181],"scenario-shared":[119],"gate.":[120],"Then,":[121],"some":[122],"scenario-specific":[123],"gate":[124],"aims":[125],"identify":[127],"individual":[131],"from":[133],"subset":[135],"former":[138],"with":[139],"lower":[140],"importance.":[141],"Subsequently,":[142],"imposes":[144],"constraints":[145],"on":[146],"two":[148,160,184],"gates":[149],"make":[151],"learning":[153],"more":[155],"feasible":[156],"combines":[158],"exclusive":[163],"scenarios.":[167],"We":[168],"evaluate":[169],"demonstrate":[172],"its":[173],"ability":[174],"enhance":[176],"model":[179],"experiments":[182],"over":[183],"public":[185],"benchmarks.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":5}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
