{"id":"https://openalex.org/W4412877229","doi":"https://doi.org/10.1145/3711896.3737848","title":"Fourth Workshop on Personalization and Recommendations in Search (PaRiS)","display_name":"Fourth Workshop on Personalization and Recommendations in Search (PaRiS)","publication_year":2025,"publication_date":"2025-08-03","ids":{"openalex":"https://openalex.org/W4412877229","doi":"https://doi.org/10.1145/3711896.3737848"},"language":"en","primary_location":{"id":"doi:10.1145/3711896.3737848","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737848","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737848","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","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/10.1145/3711896.3737848","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014158785","display_name":"Sudarshan Lamkhede","orcid":"https://orcid.org/0000-0001-8699-3776"},"institutions":[{"id":"https://openalex.org/I869089601","display_name":"Netflix (United States)","ror":"https://ror.org/0197qw696","country_code":"US","type":"company","lineage":["https://openalex.org/I869089601"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sudarshan Lamkhede","raw_affiliation_strings":["Netflix Research, Los Gatos, CA, USA"],"affiliations":[{"raw_affiliation_string":"Netflix Research, Los Gatos, CA, USA","institution_ids":["https://openalex.org/I869089601"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047314505","display_name":"Moumita Bhattacharya","orcid":"https://orcid.org/0000-0002-7836-4504"},"institutions":[{"id":"https://openalex.org/I869089601","display_name":"Netflix (United States)","ror":"https://ror.org/0197qw696","country_code":"US","type":"company","lineage":["https://openalex.org/I869089601"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Moumita Bhattacharya","raw_affiliation_strings":["Netflix Research, Los Gatos, CA, USA"],"affiliations":[{"raw_affiliation_string":"Netflix Research, Los Gatos, CA, USA","institution_ids":["https://openalex.org/I869089601"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014158785"],"corresponding_institution_ids":["https://openalex.org/I869089601"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32287186,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6264","last_page":"6265"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9348000288009644,"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":0.9348000288009644,"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/T11106","display_name":"Data Management and Algorithms","score":0.9286999702453613,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9246000051498413,"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/personalization","display_name":"Personalization","score":0.8044679164886475},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6070643663406372},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.5155084133148193},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39861994981765747},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3731064200401306}],"concepts":[{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.8044679164886475},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6070643663406372},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.5155084133148193},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39861994981765747},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3731064200401306}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3711896.3737848","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737848","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737848","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3711896.3737848","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737848","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737848","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412877229.pdf","grobid_xml":"https://content.openalex.org/works/W4412877229.grobid-xml"},"referenced_works_count":3,"referenced_works":["https://openalex.org/W4296604521","https://openalex.org/W4367311183","https://openalex.org/W4400528746"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2109940557","https://openalex.org/W2466832359","https://openalex.org/W4391210591","https://openalex.org/W1582019636","https://openalex.org/W2390279801","https://openalex.org/W1499005795","https://openalex.org/W4391913857"],"abstract_inverted_index":{"With":[0],"proliferation":[1],"of":[2,9,36,70,78,99,113,134,142],"personal":[3],"computing":[4],"devices":[5],"and":[6,32,47,52,89,101,107,129,137],"large":[7],"number":[8],"logged-in":[10],"experiences,":[11],"search":[12,136],"has":[13],"evolved":[14],"to":[15,104,121,125],"a":[16,26,41],"stage":[17],"with":[18,62],"many":[19],"different":[20],"product":[21],"scenarios":[22],"where":[23,43],"personalization":[24,106],"plays":[25],"crucial":[27],"role":[28],"for":[29,115],"relevance":[30],"quality":[31],"user":[33],"satisfaction.The":[34],"purpose":[35],"this":[37,71,79,123],"workshop":[38,80,124],"is":[39],"have":[40],"forum":[42],"the":[44,67,82,111,132,140],"latest":[45],"research":[46],"advancements":[48],"specifically":[49],"on":[50,97],"Personalization":[51],"Recommendations":[53],"in":[54,60,110,131,139],"Search":[55],"(PaRiS)":[56],"can":[57],"be":[58,66],"discussed":[59],"conjunction":[61],"KDD":[63],"2025.This":[64],"will":[65,94],"fourth":[68],"instance":[69],"workshop.We":[72],"held":[73],"three":[74],"very":[75],"successful":[76],"instances":[77],"at":[81],"SIGIR":[83],"2024":[84],"[3],":[85],"WebConf":[86],"2023":[87],"[2]":[88],"WSDM":[90],"2022.This":[91],"year":[92],"we":[93],"especially":[95],"focus":[96],"applications":[98,130],"LLM":[100],"Generative":[102],"AI":[103],"enable":[105],"recommendations":[108,138],"[1]":[109],"context":[112,133,141],"search,":[114],"example,":[116],"conversational":[117],"assistants,":[118],"while":[119],"continuing":[120],"use":[122],"discuss":[126],"other":[127],"advances":[128],"personalized":[135],"search.":[143]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
