{"id":"https://openalex.org/W2145157418","doi":"https://doi.org/10.1109/infcom.2011.5935224","title":"Bayesian-inference based recommendation in online social networks","display_name":"Bayesian-inference based recommendation in online social networks","publication_year":2011,"publication_date":"2011-04-01","ids":{"openalex":"https://openalex.org/W2145157418","doi":"https://doi.org/10.1109/infcom.2011.5935224","mag":"2145157418"},"language":"en","primary_location":{"id":"doi:10.1109/infcom.2011.5935224","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcom.2011.5935224","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Proceedings IEEE INFOCOM","raw_type":"proceedings-article"},"type":"conference-paper","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/A5090282364","display_name":"Xiwang Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]},{"id":"https://openalex.org/I90965887","display_name":"SUNY Polytechnic Institute","ror":"https://ror.org/000fxgx19","country_code":"US","type":"education","lineage":["https://openalex.org/I90965887"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiwang Yang","raw_affiliation_strings":["ECE Department, Polytechnic Institute of New York University, Brooklyn, NY, USA","ECE Department, Polytechnic Institute of NYU, Brooklyn, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ECE Department, Polytechnic Institute of New York University, Brooklyn, NY, USA","institution_ids":["https://openalex.org/I57206974","https://openalex.org/I90965887"]},{"raw_affiliation_string":"ECE Department, Polytechnic Institute of NYU, Brooklyn, New York, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100720831","display_name":"Yang Guo","orcid":"https://orcid.org/0000-0001-5240-657X"},"institutions":[{"id":"https://openalex.org/I72090969","display_name":"Nokia (United States)","ror":"https://ror.org/038km2573","country_code":"US","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I72090969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Guo","raw_affiliation_strings":["Bell Laboratories, Alcatel-Lucent, Holmdel, NJ, USA","[Bell Labs, Alcatel-Lucent, Holmdel, New Jersey, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bell Laboratories, Alcatel-Lucent, Holmdel, NJ, USA","institution_ids":[]},{"raw_affiliation_string":"[Bell Labs, Alcatel-Lucent, Holmdel, New Jersey, USA]","institution_ids":["https://openalex.org/I72090969"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014714438","display_name":"Yong Liu","orcid":"https://orcid.org/0000-0003-3314-1750"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]},{"id":"https://openalex.org/I90965887","display_name":"SUNY Polytechnic Institute","ror":"https://ror.org/000fxgx19","country_code":"US","type":"education","lineage":["https://openalex.org/I90965887"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yong Liu","raw_affiliation_strings":["ECE Department, Polytechnic Institute of New York University, Brooklyn, NY, USA","ECE Department, Polytechnic Institute of NYU, Brooklyn, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ECE Department, Polytechnic Institute of New York University, Brooklyn, NY, USA","institution_ids":["https://openalex.org/I57206974","https://openalex.org/I90965887"]},{"raw_affiliation_string":"ECE Department, Polytechnic Institute of NYU, Brooklyn, New York, USA","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.6852,"has_fulltext":false,"cited_by_count":120,"citation_normalized_percentile":{"value":0.96613341,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"551","last_page":"555"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.996399998664856,"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/T11478","display_name":"Caching and Content Delivery","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.787187933921814},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7365307211875916},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7334238886833191},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6724209785461426},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.6067924499511719},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5890237092971802},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.586448609828949},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.5208566784858704},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5092495679855347},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.500115156173706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4836322069168091},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.481273353099823},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4735523760318756},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.43390345573425293},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.32898443937301636},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.18654170632362366}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.787187933921814},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7365307211875916},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7334238886833191},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6724209785461426},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.6067924499511719},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5890237092971802},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.586448609828949},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5208566784858704},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5092495679855347},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.500115156173706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4836322069168091},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.481273353099823},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4735523760318756},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.43390345573425293},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.32898443937301636},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.18654170632362366},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infcom.2011.5935224","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcom.2011.5935224","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Proceedings IEEE INFOCOM","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W120301130","https://openalex.org/W146619980","https://openalex.org/W1549514249","https://openalex.org/W1725202765","https://openalex.org/W1971040550","https://openalex.org/W1980202081","https://openalex.org/W2054141820","https://openalex.org/W2073518383","https://openalex.org/W2080512030","https://openalex.org/W2082945558","https://openalex.org/W2110325612","https://openalex.org/W2130354913","https://openalex.org/W2133266261","https://openalex.org/W2133699278","https://openalex.org/W2135598826","https://openalex.org/W2135930857","https://openalex.org/W2138825227","https://openalex.org/W2145157418","https://openalex.org/W2167032986","https://openalex.org/W2171960770","https://openalex.org/W2177923071","https://openalex.org/W2341535507","https://openalex.org/W2950332743","https://openalex.org/W6606015864","https://openalex.org/W6632946851"],"related_works":["https://openalex.org/W2407375987","https://openalex.org/W3049691116","https://openalex.org/W2505726097","https://openalex.org/W2010643158","https://openalex.org/W2106867672","https://openalex.org/W3081214562","https://openalex.org/W4310268968","https://openalex.org/W2950975704","https://openalex.org/W4297815943","https://openalex.org/W2053745677"],"abstract_inverted_index":{"In":[0,14],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,28,35,49,68,100,106],"Bayesian-inference":[6,118],"based":[7,119],"recommendation":[8,120,137,140],"system":[9],"for":[10],"online":[11,91],"social":[12,55,92,102],"networks.":[13,93],"our":[15],"system,":[16],"users":[17],"share":[18],"their":[19,42],"movie":[20,50,107],"ratings":[21],"with":[22],"friends.":[23,62],"The":[24,94],"rating":[25,44,51,76,108],"similarity":[26],"between":[27,136],"pair":[29],"of":[30,37,77,111],"friends":[31],"is":[32,71,97],"measured":[33],"by":[34],"set":[36,110],"conditional":[38],"probabilities":[39],"derived":[40,104],"from":[41,105],"mutual":[43],"history.":[45],"A":[46],"user":[47],"propagates":[48],"query":[52,66],"along":[53],"the":[54,65,75,78,117,127,133],"network":[56,70,103],"to":[57,73],"his":[58],"direct":[59],"and":[60,131,139],"indirect":[61],"Based":[63],"on":[64],"responses,":[67],"Bayesian":[69],"constructed":[72],"infer":[74],"querying":[79],"user.":[80],"We":[81,114],"develop":[82],"distributed":[83],"protocols":[84],"that":[85,116],"can":[86],"be":[87],"easily":[88],"implemented":[89],"in":[90,99],"proposed":[95],"algorithm":[96],"evaluated":[98],"synthesized":[101],"data":[109],"real":[112],"users.":[113],"show":[115],"provides":[121],"personalized":[122],"recommendations":[123],"as":[124,126],"accurate":[125],"traditional":[128],"CF":[129],"approaches,":[130],"allows":[132],"flexible":[134],"trade-offs":[135],"quality":[138],"quantity.":[141]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":17},{"year":2016,"cited_by_count":26},{"year":2015,"cited_by_count":17},{"year":2014,"cited_by_count":14},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}