{"id":"https://openalex.org/W4416195037","doi":"https://doi.org/10.1145/3768292.3770427","title":"Mean Variance Efficient Collaborative Filtering for Stock Recommendations","display_name":"Mean Variance Efficient Collaborative Filtering for Stock Recommendations","publication_year":2025,"publication_date":"2025-11-14","ids":{"openalex":"https://openalex.org/W4416195037","doi":"https://doi.org/10.1145/3768292.3770427"},"language":null,"primary_location":{"id":"doi:10.1145/3768292.3770427","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3768292.3770427","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 6th ACM International Conference on AI in Finance","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3768292.3770427","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044532481","display_name":"Munki Chung","orcid":"https://orcid.org/0000-0001-8552-2753"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Munki Chung","raw_affiliation_strings":["KAIST, Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-8552-2753","affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081083881","display_name":"Junhyeong Lee","orcid":"https://orcid.org/0009-0003-3758-9357"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junhyeong Lee","raw_affiliation_strings":["UNIST, Ulsan, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0003-3758-9357","affiliations":[{"raw_affiliation_string":"UNIST, Ulsan, Republic of Korea","institution_ids":["https://openalex.org/I48566637"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100366482","display_name":"Yongjae Lee","orcid":"https://orcid.org/0000-0002-5411-4340"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yongjae Lee","raw_affiliation_strings":["UNIST, Ulsan, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-5411-4340","affiliations":[{"raw_affiliation_string":"UNIST, Ulsan, Republic of Korea","institution_ids":["https://openalex.org/I48566637"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035626547","display_name":"Woo Chang Kim","orcid":"https://orcid.org/0000-0001-8385-9598"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Woo Chang Kim","raw_affiliation_strings":["KAIST, Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-8385-9598","affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9246,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.88526867,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"806","last_page":"813"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9086999893188477,"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":0.9086999893188477,"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":0.01080000028014183,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.009499999694526196,"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/stock","display_name":"Stock (firearms)","score":0.7287999987602234},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.6089000105857849},{"id":"https://openalex.org/keywords/portfolio","display_name":"Portfolio","score":0.5742999911308289},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5110999941825867},{"id":"https://openalex.org/keywords/investment-strategy","display_name":"Investment strategy","score":0.36800000071525574},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.3675000071525574},{"id":"https://openalex.org/keywords/pareto-optimal","display_name":"Pareto optimal","score":0.3668999969959259},{"id":"https://openalex.org/keywords/investment-decisions","display_name":"Investment decisions","score":0.33559998869895935},{"id":"https://openalex.org/keywords/financial-services","display_name":"Financial services","score":0.3249000012874603}],"concepts":[{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.7287999987602234},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.6089000105857849},{"id":"https://openalex.org/C2780821815","wikidata":"https://www.wikidata.org/wiki/Q5340806","display_name":"Portfolio","level":2,"score":0.5742999911308289},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5415999889373779},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5228999853134155},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5110999941825867},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.42660000920295715},{"id":"https://openalex.org/C103144560","wikidata":"https://www.wikidata.org/wiki/Q2670999","display_name":"Investment strategy","level":3,"score":0.36800000071525574},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.3675000071525574},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.3668999969959259},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3644999861717224},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.3474000096321106},{"id":"https://openalex.org/C2778865806","wikidata":"https://www.wikidata.org/wiki/Q6060850","display_name":"Investment decisions","level":3,"score":0.33559998869895935},{"id":"https://openalex.org/C139043278","wikidata":"https://www.wikidata.org/wiki/Q837171","display_name":"Financial services","level":2,"score":0.3249000012874603},{"id":"https://openalex.org/C30755413","wikidata":"https://www.wikidata.org/wiki/Q1245402","display_name":"Risk\u2013return spectrum","level":3,"score":0.3127000033855438},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.30869999527931213},{"id":"https://openalex.org/C202655437","wikidata":"https://www.wikidata.org/wiki/Q7231728","display_name":"Portfolio optimization","level":3,"score":0.30660000443458557},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.3027999997138977},{"id":"https://openalex.org/C27548731","wikidata":"https://www.wikidata.org/wiki/Q88272","display_name":"Investment (military)","level":3,"score":0.2939000129699707},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C94644931","wikidata":"https://www.wikidata.org/wiki/Q6060889","display_name":"Investment style","level":5,"score":0.28279998898506165},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.2809000015258789},{"id":"https://openalex.org/C139819358","wikidata":"https://www.wikidata.org/wiki/Q462748","display_name":"Asset allocation","level":3,"score":0.27390000224113464},{"id":"https://openalex.org/C76073288","wikidata":"https://www.wikidata.org/wiki/Q1337875","display_name":"Financial risk","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.2669999897480011},{"id":"https://openalex.org/C2778599509","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto efficiency","level":3,"score":0.26339998841285706},{"id":"https://openalex.org/C91602232","wikidata":"https://www.wikidata.org/wiki/Q756115","display_name":"Volatility (finance)","level":2,"score":0.25619998574256897},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C9725762","wikidata":"https://www.wikidata.org/wiki/Q1072885","display_name":"Modern portfolio theory","level":3,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3768292.3770427","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3768292.3770427","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 6th ACM International Conference on AI in Finance","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3768292.3770427","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3768292.3770427","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 6th ACM International Conference on AI in Finance","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5943468760","display_name":null,"funder_award_id":"2022R1I1A4069163","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W576949254","https://openalex.org/W1487993307","https://openalex.org/W1980730196","https://openalex.org/W2018955074","https://openalex.org/W2030808931","https://openalex.org/W2043611000","https://openalex.org/W2077471925","https://openalex.org/W2078428190","https://openalex.org/W2086456706","https://openalex.org/W2093914947","https://openalex.org/W2097951507","https://openalex.org/W2101409192","https://openalex.org/W2113885898","https://openalex.org/W2115936600","https://openalex.org/W2141719669","https://openalex.org/W2148933855","https://openalex.org/W2155912844","https://openalex.org/W2200151863","https://openalex.org/W2469033947","https://openalex.org/W2734631625","https://openalex.org/W2745625336","https://openalex.org/W2886398083","https://openalex.org/W2893902841","https://openalex.org/W2903979156","https://openalex.org/W2907405519","https://openalex.org/W2910331677","https://openalex.org/W2945827670","https://openalex.org/W2953771943","https://openalex.org/W2981078461","https://openalex.org/W3000728249","https://openalex.org/W3002219986","https://openalex.org/W3045200674","https://openalex.org/W3129530123","https://openalex.org/W3153557772","https://openalex.org/W3184572086","https://openalex.org/W3211143493","https://openalex.org/W4224983022","https://openalex.org/W4232474910","https://openalex.org/W4241584625"],"related_works":[],"abstract_inverted_index":{"The":[0,46,115],"rise":[1],"of":[2,183,192],"FinTech":[3],"has":[4],"transformed":[5],"financial":[6],"services":[7],"online,":[8],"yet":[9,138],"stock":[10,18,56,102,169],"recommender":[11],"systems":[12],"have":[13],"received":[14],"limited":[15],"attention.":[16],"Personalized":[17],"recommendations":[19,33],"can":[20,178],"significantly":[21],"impact":[22],"customer":[23],"engagement":[24],"and":[25,76,90,162],"satisfaction":[26],"within":[27],"the":[28,62,124,153,160,180,204],"industry.":[29],"However,":[30,127],"traditional":[31],"investment":[32,52,88],"focus":[34],"on":[35,86,172],"high-return":[36],"stocks":[37,111],"or":[38],"highly":[39],"diversified":[40],"portfolios,":[41],"often":[42],"neglecting":[43],"user":[44],"preferences.":[45],"former":[47],"would":[48,64],"result":[49],"in":[50,156,168],"unsuccessful":[51],"because":[53,70,104],"accurately":[54],"predicting":[55],"prices":[57],"is":[58,106,117,149,200],"almost":[59],"impossible,":[60],"whereas":[61],"latter":[63],"not":[65,97],"be":[66,98],"accepted":[67],"by":[68,164],"investors":[69],"many":[71],"investors,":[72],"including":[73],"both":[74,132],"individuals":[75],"institutional":[77],"portfolio":[78,125],"managers,":[79],"who":[80],"typically":[81],"hold":[82],"focused":[83],"portfolios":[84,185],"based":[85],"their":[87],"strategies":[89],"interests.":[91],"Collaborative":[92],"filtering":[93,145],"(CF)":[94],"also":[95],"may":[96],"directly":[99],"applicable":[100,202],"to":[101,108,118,151,203],"recommendations,":[103],"it":[105],"inappropriate":[107],"just":[109,188],"recommend":[110],"that":[112],"users":[113],"like.":[114],"key":[116],"optimally":[119],"blend":[120],"user\u2019s":[121],"preference":[122],"with":[123],"theory.":[126],"no":[128],"existing":[129],"model":[130,148,177],"considers":[131],"aspects.":[133],"We":[134],"propose":[135],"a":[136,157,189],"simple":[137],"effective":[139],"model,":[140],"called":[141],"mean-variance":[142,181],"efficient":[143],"collaborative":[144],"(MVECF).":[146],"Our":[147],"designed":[150],"improve":[152],"Pareto":[154],"optimality":[155],"trade-off":[158],"between":[159],"risk":[161],"return":[163],"systemically":[165],"handling":[166],"uncertainties":[167],"prices.":[170],"Experiments":[171],"real-world":[173],"data":[174],"show":[175,198],"our":[176],"increase":[179],"efficiency":[182],"recommended":[184],"while":[186],"sacrificing":[187],"small":[190],"amount":[191],"recommendation":[193],"accuracy.":[194],"Finally,":[195],"we":[196],"further":[197],"MVECF":[199],"easily":[201],"graph-based":[205],"ranking":[206],"model.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-11-14T00:00:00"}
