{"id":"https://openalex.org/W4396843944","doi":"https://doi.org/10.1145/3589335.3641241","title":"Neural Contextual Bandits for Personalized Recommendation","display_name":"Neural Contextual Bandits for Personalized Recommendation","publication_year":2024,"publication_date":"2024-05-12","ids":{"openalex":"https://openalex.org/W4396843944","doi":"https://doi.org/10.1145/3589335.3641241"},"language":"en","primary_location":{"id":"doi:10.1145/3589335.3641241","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3641241","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3641241","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3641241","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047387636","display_name":"Yikun Ban","orcid":"https://orcid.org/0000-0003-3035-4849"},"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":true,"raw_author_name":"Yikun Ban","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008489037","display_name":"Yunzhe Qi","orcid":"https://orcid.org/0000-0001-5828-7436"},"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":"Yunzhe Qi","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073158087","display_name":"Jingrui He","orcid":"https://orcid.org/0000-0002-6429-6272"},"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":"Jingrui He","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047387636"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":1.9246,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.85997181,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1246","last_page":"1249"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9998000264167786,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9782999753952026,"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/computer-science","display_name":"Computer science","score":0.7613836526870728},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5470032691955566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.510973334312439},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33262237906455994}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7613836526870728},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5470032691955566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.510973334312439},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33262237906455994}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3589335.3641241","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3641241","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3641241","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3589335.3641241","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3641241","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3641241","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7178539517","display_name":null,"funder_award_id":"IIS-2002540","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4396843944.pdf"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1968049117","https://openalex.org/W2112420033","https://openalex.org/W2119738618","https://openalex.org/W2166253248","https://openalex.org/W2344889085","https://openalex.org/W2604272474","https://openalex.org/W2605350416","https://openalex.org/W2612690371","https://openalex.org/W2962818688","https://openalex.org/W3006170270","https://openalex.org/W3080262031","https://openalex.org/W3089170390","https://openalex.org/W3153860772","https://openalex.org/W3171739383","https://openalex.org/W3203675963","https://openalex.org/W3211242565","https://openalex.org/W4205621617","https://openalex.org/W4226189042","https://openalex.org/W4281750729","https://openalex.org/W4296604485","https://openalex.org/W4302011317","https://openalex.org/W4385014527","https://openalex.org/W4385565718","https://openalex.org/W6638827766","https://openalex.org/W6675061135","https://openalex.org/W6738280732","https://openalex.org/W6784171646","https://openalex.org/W6797866537","https://openalex.org/W6845126455","https://openalex.org/W7075680496"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"In":[0],"the":[1,24,33,36,44,57,83,91,95,99,104,109,117,159,184,198],"dynamic":[2],"landscape":[3],"of":[4,35,38,86,111],"online":[5],"businesses,":[6],"recommender":[7,96,176],"systems":[8],"are":[9],"pivotal":[10],"in":[11,94,114,137,197],"enhancing":[12],"user":[13,169,172],"experiences.":[14],"While":[15],"traditional":[16],"approaches":[17],"have":[18,131],"relied":[19],"on":[20,82],"static":[21],"supervised":[22],"learning,":[23],"quest":[25],"for":[26,51,148,175,191,202],"adaptive,":[27],"user-centric":[28],"recommendations":[29],"has":[30],"led":[31],"to":[32,89,116,126,140,166],"emergence":[34],"formulation":[37],"contextual":[39,45,87,120,128,146,164,193],"bandits.":[40],"This":[41],"tutorial":[42],"investigates":[43],"bandits":[46,88,129,147,194],"as":[47,133],"a":[48],"powerful":[49],"framework":[50],"personalized":[52,149,199],"recommendations.":[53],"We":[54],"delve":[55],"into":[56],"challenges,":[58],"advanced":[59],"algorithms":[60],"and":[61,65,68,103,153,171,182,188],"theories,":[62],"collaborative":[63,162],"strategies,":[64],"open":[66,189],"challenges":[67,187],"future":[69],"prospects":[70],"within":[71],"this":[72],"field.":[73],"Different":[74],"from":[75],"existing":[76],"related":[77],"tutorials,":[78],"(1)":[79],"we":[80,122,156,179],"focus":[81],"exploration":[84],"perspective":[85],"alleviate":[90],"\"Matthew":[92],"Effect''":[93],"systems,":[97],"i.e.,":[98],"rich":[100],"get":[101,106],"richer":[102],"poor":[105],"poorer,":[107],"concerning":[108],"popularity":[110],"items;":[112],"(2)":[113],"addition":[115],"conventional":[118],"linear":[119],"bandits,":[121,165],"will":[123,157,180],"also":[124],"dedicated":[125],"neural":[127,143,163,192,204],"which":[130],"emerged":[132],"an":[134],"important":[135],"branch":[136],"recent":[138],"years,":[139],"investigate":[141],"how":[142],"networks":[144],"benefit":[145],"recommendation":[150],"both":[151,168],"empirically":[152],"theoretically;":[154],"(3)":[155],"cover":[158],"latest":[160],"topic,":[161],"incorporate":[167],"heterogeneity":[170],"correlations":[173],"customized":[174],"system;":[177],"(4)":[178],"provide":[181],"discuss":[183],"new":[185],"emerging":[186],"questions":[190],"with":[195],"applications":[196],"recommendation,":[200],"especially":[201],"large":[203],"models.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}