{"id":"https://openalex.org/W2080512030","doi":"https://doi.org/10.1145/1277741.1277752","title":"Efficient bayesian hierarchical user modeling for recommendation system","display_name":"Efficient bayesian hierarchical user modeling for recommendation system","publication_year":2007,"publication_date":"2007-07-23","ids":{"openalex":"https://openalex.org/W2080512030","doi":"https://doi.org/10.1145/1277741.1277752","mag":"2080512030"},"language":"en","primary_location":{"id":"doi:10.1145/1277741.1277752","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1277741.1277752","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval","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/A5100388333","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0003-4299-1511"},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["University of California Santa Cruz","University of California/Santa Cruz"],"affiliations":[{"raw_affiliation_string":"University of California Santa Cruz","institution_ids":["https://openalex.org/I185103710"]},{"raw_affiliation_string":"University of California/Santa Cruz","institution_ids":["https://openalex.org/I185103710"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045519396","display_name":"Jonathan Koren","orcid":null},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan Koren","raw_affiliation_strings":["University of California Santa Cruz","University of California/Santa Cruz"],"affiliations":[{"raw_affiliation_string":"University of California Santa Cruz","institution_ids":["https://openalex.org/I185103710"]},{"raw_affiliation_string":"University of California/Santa Cruz","institution_ids":["https://openalex.org/I185103710"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100388333"],"corresponding_institution_ids":["https://openalex.org/I185103710"],"apc_list":null,"apc_paid":null,"fwci":28.991,"has_fulltext":false,"cited_by_count":186,"citation_normalized_percentile":{"value":0.99524167,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"47","last_page":"54"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9847000241279602,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7842535376548767},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5496328473091125},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4778144657611847},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35420072078704834},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3489055037498474},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34399911761283875}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7842535376548767},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5496328473091125},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4778144657611847},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35420072078704834},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3489055037498474},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34399911761283875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1277741.1277752","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1277741.1277752","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334742","display_name":"Data Storage Institute","ror":"https://ror.org/03k5xes38"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W265767496","https://openalex.org/W1571969069","https://openalex.org/W1718512272","https://openalex.org/W1904228841","https://openalex.org/W1988068022","https://openalex.org/W1999047234","https://openalex.org/W2010526612","https://openalex.org/W2020818097","https://openalex.org/W2022377611","https://openalex.org/W2043909051","https://openalex.org/W2078464983","https://openalex.org/W2085937320","https://openalex.org/W2098766443","https://openalex.org/W2110325612","https://openalex.org/W2113858518","https://openalex.org/W2117311203","https://openalex.org/W2118726115","https://openalex.org/W2124029832","https://openalex.org/W2127300005","https://openalex.org/W2136504847","https://openalex.org/W2148522164","https://openalex.org/W2341297401","https://openalex.org/W2397866408","https://openalex.org/W4210335708","https://openalex.org/W4232980324"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4317039510","https://openalex.org/W4238861846","https://openalex.org/W790944756"],"abstract_inverted_index":{"A":[0,24],"content-based":[1],"personalized":[2],"recommendation":[3],"system":[4,25],"learns":[5],"user":[6,10,34,42,111,129],"specific":[7],"profiles":[8],"from":[9,49,70,131],"feedback":[11],"so":[12],"that":[13],"it":[14],"can":[15,30],"deliver":[16],"information":[17,48],"tailored":[18],"to":[19,64,87,104],"each":[20],"individual":[21,110],"user's":[22],"interest.":[23],"serving":[26],"millions":[27,71],"of":[28,55,72,90,109,117],"users":[29,51,73],"learn":[31,105],"a":[32,37,41,56,99,106],"better":[33],"profile":[35],"for":[36],"new":[38,100],"user,":[39],"or":[40],"with":[43],"little":[44],"feedback,":[45],"by":[46,123],"borrowing":[47],"other":[50],"through":[52],"the":[53,61,66,88,91,118],"use":[54],"Bayesian":[57],"hierarchical":[58],"model.":[59],"Learning":[60],"model":[62],"parameters":[63],"optimize":[65],"joint":[67],"data":[68,92,130],"likelihood":[69],"is":[74],"very":[75,84],"computationally":[76],"expensive.":[77],"The":[78,113],"commonly":[79],"used":[80],"EM":[81],"algorithm":[82,120],"converges":[83],"slowly":[85],"due":[86],"sparseness":[89],"in":[93],"IR":[94],"applications.":[95],"This":[96],"paper":[97],"proposes":[98],"fast":[101],"learning":[102],"technique":[103],"large":[107],"number":[108],"profiles.":[112],"efficacy":[114],"and":[115,125,133],"efficiency":[116],"proposed":[119],"are":[121],"justified":[122],"theory":[124],"demonstrated":[126],"on":[127],"actual":[128],"Netflix":[132],"MovieLens.":[134]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":19},{"year":2013,"cited_by_count":14},{"year":2012,"cited_by_count":23}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
