{"id":"https://openalex.org/W7129029224","doi":"https://doi.org/10.1145/3773966.3778018","title":"Third Workshop on Generative AI for Recommender Systems and Personalization","display_name":"Third Workshop on Generative AI for Recommender Systems and Personalization","publication_year":2026,"publication_date":"2026-02-16","ids":{"openalex":"https://openalex.org/W7129029224","doi":"https://doi.org/10.1145/3773966.3778018"},"language":null,"primary_location":{"id":"doi:10.1145/3773966.3778018","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3773966.3778018","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 Nineteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3773966.3778018","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037605691","display_name":"Narges Tabari","orcid":"https://orcid.org/0000-0002-3895-1747"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Narges Tabari","raw_affiliation_strings":["AWS AI Labs, Santa Clara, CA, USA"],"affiliations":[{"raw_affiliation_string":"AWS AI Labs, Santa Clara, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126076829","display_name":"Aniket Deshmukh","orcid":null},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aniket Deshmukh","raw_affiliation_strings":["Databricks, Santa Clara, CA, USA"],"affiliations":[{"raw_affiliation_string":"Databricks, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I16269868"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090597599","display_name":"Wang-Cheng Kang","orcid":"https://orcid.org/0009-0006-8795-3665"},"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":"Wang-Cheng Kang","raw_affiliation_strings":["Google DeepMind, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Google DeepMind, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":null,"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":["University of California San Diego, San Diego, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California San Diego, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126113607","display_name":"James Caverlee","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Caverlee","raw_affiliation_strings":["Texas A&M University, College Station, USA"],"affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126078878","display_name":"Neil Shah","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142583","display_name":"Snap (United States)","ror":"https://ror.org/04dgkhg68","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142583"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neil Shah","raw_affiliation_strings":["Snap Inc., Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Snap Inc., Seattle, WA, USA","institution_ids":["https://openalex.org/I4210142583"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110359290","display_name":"George Karypis","orcid":null},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George Karypis","raw_affiliation_strings":["University of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5037605691"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35713043,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1392","last_page":"1393"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.7778000235557556,"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":0.7778000235557556,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.01850000023841858,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.01730000041425228,"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/personalization","display_name":"Personalization","score":0.7955999970436096},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6337000131607056},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6100999712944031},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5914999842643738},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5145999789237976},{"id":"https://openalex.org/keywords/cornerstone","display_name":"Cornerstone","score":0.4918999969959259},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4634999930858612},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.41350001096725464}],"concepts":[{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.7955999970436096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7425000071525574},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6337000131607056},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6100999712944031},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5914999842643738},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5145999789237976},{"id":"https://openalex.org/C2780616401","wikidata":"https://www.wikidata.org/wiki/Q1133673","display_name":"Cornerstone","level":2,"score":0.4918999969959259},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4814999997615814},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4634999930858612},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.44339999556541443},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.41350001096725464},{"id":"https://openalex.org/C69075417","wikidata":"https://www.wikidata.org/wiki/Q515701","display_name":"Linked data","level":3,"score":0.3723999857902527},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3474999964237213},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3465999960899353},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.3142000138759613},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.2856000065803528},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2775000035762787},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.26159998774528503},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.25839999318122864},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.25760000944137573},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3773966.3778018","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3773966.3778018","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 Nineteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3773966.3778018","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3773966.3778018","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 Nineteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.423286110162735}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2159094788"],"related_works":[],"abstract_inverted_index":{"Building":[0,147],"personalized":[1,110,130,145],"recommender":[2],"systems":[3],"and":[4,15,34,41,48,57,73,91,109,127,143,164,173],"search":[5],"experiences":[6,111],"is":[7,96],"a":[8,25,159,167],"cornerstone":[9],"of":[10,27,75,106,124,151],"the":[11,88,104,113,118,122,138,149,182],"modern":[12],"data":[13,28],"mining":[14],"applied":[16],"machine":[17],"learning":[18],"(ML)":[19],"community.":[20],"Modern":[21],"online":[22],"platforms":[23],"have":[24,60],"confluence":[26],"including":[29,178],"user-item":[30],"interaction":[31],"graphs,":[32],"user":[33],"item-associated":[35],"semantics":[36],"(text,":[37],"visual":[38,56],"content,":[39],"etc.),":[40],"metadata.":[42],"Recent":[43],"advancements":[44],"in":[45,64,70,87,93,112,181],"generative":[46,125],"models":[47,54,76,126,142],"semantic":[49,80],"encoders":[50,59],"via":[51],"large":[52,101],"language":[53],"(LLMs),":[55],"audio":[58],"significantly":[61],"impacted":[62],"research":[63,119],"relevant":[65],"domains,":[66],"enabling":[67],"new":[68],"directions":[69],"knowledge":[71],"discovery":[72],"ability":[74],"to":[77,157],"better":[78],"incorporate":[79],"context.":[81],"These":[82,98],"techniques":[83],"are":[84],"quickly":[85],"advancing":[86],"academic":[89],"sphere,":[90],"adoption":[92],"industrial":[94],"environments":[95],"growing.":[97],"advances":[99],"force":[100],"questions":[102],"about":[103],"future":[105],"search,":[107],"recommendation":[108,128],"future.":[114],"This":[115],"workshop":[116],"bridges":[117],"gap":[120],"between":[121,140],"use":[123],"for":[129],"systems.":[131,146],"We":[132],"will":[133],"focus":[134],"on":[135],"topics":[136],"spanning":[137],"interplay":[139],"such":[141],"conventional":[144],"upon":[148],"momentum":[150],"previous":[152],"successful":[153],"forums,":[154],"we":[155],"seek":[156],"engage":[158],"diverse":[160],"audience":[161],"from":[162],"academia":[163],"industry,":[165],"fostering":[166],"dialogue":[168],"that":[169],"incorporates":[170],"fresh":[171],"insights":[172],"anticipates":[174],"over":[175],"100":[176],"attendees,":[177],"key":[179],"stakeholders":[180],"field.":[183]},"counts_by_year":[],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2026-02-17T00:00:00"}