{"id":"https://openalex.org/W4290948379","doi":"https://doi.org/10.1145/3534678.3542893","title":"2nd Workshop on Online and Adaptive Recommender Systems (OARS)","display_name":"2nd Workshop on Online and Adaptive Recommender Systems (OARS)","publication_year":2022,"publication_date":"2022-08-12","ids":{"openalex":"https://openalex.org/W4290948379","doi":"https://doi.org/10.1145/3534678.3542893"},"language":"en","primary_location":{"id":"doi:10.1145/3534678.3542893","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3534678.3542893","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery 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/A5102967365","display_name":"Xiquan Cui","orcid":"https://orcid.org/0009-0005-5306-8839"},"institutions":[{"id":"https://openalex.org/I2799939184","display_name":"Home Depot (United States)","ror":"https://ror.org/031603425","country_code":"US","type":"company","lineage":["https://openalex.org/I2799939184"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiquan Cui","raw_affiliation_strings":["The Home Depot, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"The Home Depot, Atlanta, GA, USA","institution_ids":["https://openalex.org/I2799939184"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090996348","display_name":"Vachik S. Dave","orcid":"https://orcid.org/0009-0004-1963-8415"},"institutions":[{"id":"https://openalex.org/I1330693074","display_name":"Walmart (United States)","ror":"https://ror.org/04j0gge90","country_code":"US","type":"company","lineage":["https://openalex.org/I1330693074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vachik Dave","raw_affiliation_strings":["Walmart Labs, Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"Walmart Labs, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1330693074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004835193","display_name":"Yi Su","orcid":"https://orcid.org/0000-0002-1946-8063"},"institutions":[{"id":"https://openalex.org/I134446601","display_name":"Berkeley College","ror":"https://ror.org/02xewxa75","country_code":"US","type":"education","lineage":["https://openalex.org/I134446601"]},{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Su","raw_affiliation_strings":["UC Berkeley, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"UC Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I134446601","https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011311827","display_name":"Khalifeh AlJadda","orcid":null},"institutions":[{"id":"https://openalex.org/I2799939184","display_name":"Home Depot (United States)","ror":"https://ror.org/031603425","country_code":"US","type":"company","lineage":["https://openalex.org/I2799939184"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Khalifeh Al-Jadda","raw_affiliation_strings":["The Home Depot, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"The Home Depot, Atlanta, GA, USA","institution_ids":["https://openalex.org/I2799939184"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056142478","display_name":"Srijan Kumar","orcid":"https://orcid.org/0000-0002-5796-3532"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Srijan Kumar","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021827617","display_name":"Julian McAuley","orcid":"https://orcid.org/0000-0003-0955-7588"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Julian McAuley","raw_affiliation_strings":["UCSD, San Diego, CA, USA"],"affiliations":[{"raw_affiliation_string":"UCSD, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419650","display_name":"Tao Ye","orcid":"https://orcid.org/0000-0002-1814-530X"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tao Ye","raw_affiliation_strings":["Amazon, San Francisco, CA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon, San Francisco, CA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000268168","display_name":"Kamelia Aryafar","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kamelia Aryafar","raw_affiliation_strings":["Google, Mountainview, CA, USA"],"affiliations":[{"raw_affiliation_string":"Google, Mountainview, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030822548","display_name":"Mohammed Korayem","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammed Korayem","raw_affiliation_strings":["CareerBuilder, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"CareerBuilder, Atlanta, GA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5102967365"],"corresponding_institution_ids":["https://openalex.org/I2799939184"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10817865,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4862","last_page":"4863"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9940999746322632,"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":0.9940999746322632,"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":0.9599999785423279,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9441999793052673,"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/recommender-system","display_name":"Recommender system","score":0.8464505672454834},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.8213276863098145},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7346599102020264},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.7204430103302002},{"id":"https://openalex.org/keywords/user-modeling","display_name":"User modeling","score":0.6402187943458557},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5963590145111084},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5941327810287476},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.46848878264427185},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.4313649833202362},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3635643720626831},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.2601761221885681},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18421322107315063}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8464505672454834},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.8213276863098145},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7346599102020264},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.7204430103302002},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.6402187943458557},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5963590145111084},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5941327810287476},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.46848878264427185},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.4313649833202362},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3635643720626831},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.2601761221885681},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18421322107315063},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3534678.3542893","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3534678.3542893","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1485340534","https://openalex.org/W3119997266","https://openalex.org/W2108595774","https://openalex.org/W2084127140","https://openalex.org/W2076610045","https://openalex.org/W2032872861","https://openalex.org/W1535351518","https://openalex.org/W371613942","https://openalex.org/W2003915001","https://openalex.org/W2123738419"],"abstract_inverted_index":{"Recommender":[0],"systems":[1,229],"(RecSys)":[2],"play":[3],"important":[4,183],"roles":[5],"in":[6,23,53,70,85,125,141,179,211,273],"helping":[7],"users":[8],"navigate,":[9],"discover,":[10],"and":[11,14,56,100,105,195,198,218,226,239,243,252,257,281,301,308],"consume":[12],"large":[13],"highly":[15],"dynamic":[16],"information.":[17],"Today,":[18],"many":[19,126,161],"RecSys":[20,47,208],"solutions":[21],"deployed":[22],"the":[24,64,89,97,128,145,174,237,261,274,293],"real":[25,54,142,180,212],"world":[26],"rely":[27],"on":[28,167],"categorical":[29],"user-profiles":[30],"and/or":[31],"pre-calculated":[32],"recommendation":[33],"actions":[34,115],"that":[35,46,160],"stay":[36],"static":[37,168],"during":[38,204],"a":[39,93,121,187,193,233,306],"user":[40,51,61,68,133,139,169,177,199,216],"session.":[41],"However,":[42],"recent":[43],"trends":[44],"suggest":[45],"need":[48,80],"to":[49,59,87,112,136,149,214,270,276,289],"model":[50],"intent":[52,140,178,189],"time":[55,143,181,213],"constantly":[57],"adapt":[58,210],"meet":[60,88,215],"needs":[62,217],"at":[63],"moment":[65],"or":[66],"change":[67],"behavior":[69,200],"situ.":[71],"There":[72],"are":[73],"three":[74],"primary":[75],"drivers":[76],"for":[77,92,116],"this":[78],"emerging":[79],"of":[81,176,236,241,250,292],"online":[82,225],"adaptation.":[83],"First,":[84],"order":[86],"increasing":[90],"demand":[91],"better":[94],"personalized":[95],"experience,":[96],"personalization":[98,118],"dimensions":[99],"space":[101],"will":[102,163,244],"grow":[103],"larger":[104],"larger.":[106],"It":[107],"would":[108],"not":[109,131],"be":[110,219],"feasible":[111,147],"pre-compute":[113],"recommended":[114],"all":[117],"scenarios":[119],"beyond":[120],"certain":[122],"scale.":[123],"Second,":[124],"settings":[127],"system":[129],"does":[130],"have":[132],"prior":[134],"history":[135],"leverage.":[137],"Estimating":[138],"is":[144,158,266,287],"only":[146],"way":[148],"personalize.":[150],"As":[151],"various":[152],"consumer":[153],"privacy":[154],"laws":[155],"tighten,":[156],"it":[157,172],"foreseeable":[159],"businesses":[162],"reduce":[164],"their":[165],"reliance":[166],"profiles.":[170],"Therefore,":[171],"makes":[173],"modeling":[175],"an":[182,247,267],"research":[184,278],"topic.":[185],"Third,":[186],"user's":[188],"often":[190],"changes":[191],"within":[192],"session":[194],"between":[196],"sessions,":[197],"could":[201],"shift":[202],"significantly":[203],"dramatic":[205],"events.":[206],"A":[207],"should":[209],"robust":[220],"against":[221],"distribution":[222],"shifts.":[223],"The":[224],"adaptive":[227],"recommender":[228],"(OARS)":[230],"workshop":[231,286],"offers":[232],"focused":[234,309],"discussion":[235],"study":[238],"application":[240],"OARS,":[242],"bring":[245],"together":[246,304],"interdisciplinary":[248],"community":[249],"researchers":[251],"practitioners":[253],"from":[254],"both":[255],"industry":[256],"academia.":[258],"KDD,":[259],"as":[260],"premier":[262],"data":[263],"science":[264],"conference,":[265],"ideal":[268],"venue":[269],"gather":[271],"leaders":[272],"field":[275],"further":[277],"into":[279],"OARS":[280],"promote":[282],"its":[283],"adoption.":[284],"This":[285],"complementary":[288],"several":[290],"sessions":[291],"main":[294],"conference":[295],"(e.g.,":[296],"recommendation,":[297],"reinforcement":[298],"learning,":[299],"etc.)":[300],"brings":[302],"them":[303],"using":[305],"practical":[307],"application.":[310]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}