{"id":"https://openalex.org/W2069763399","doi":"https://doi.org/10.1145/2695664.2695840","title":"An effective approach to group recommendation based on belief propagation","display_name":"An effective approach to group recommendation based on belief propagation","publication_year":2015,"publication_date":"2015-04-13","ids":{"openalex":"https://openalex.org/W2069763399","doi":"https://doi.org/10.1145/2695664.2695840","mag":"2069763399"},"language":"en","primary_location":{"id":"doi:10.1145/2695664.2695840","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2695664.2695840","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 ACM Symposium on Applied Computing","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/A5101629306","display_name":"Irfan Ali","orcid":"https://orcid.org/0000-0002-3765-3107"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Irfan Ali","raw_affiliation_strings":["Hanyang University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanyang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100656150","display_name":"Sang\u2010Wook Kim","orcid":"https://orcid.org/0000-0002-6345-9084"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sang-Wook Kim","raw_affiliation_strings":["Hanyang University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanyang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4575257"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1148","last_page":"1153"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9923999905586243,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9898999929428101,"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/group-cohesiveness","display_name":"Group cohesiveness","score":0.8950155973434448},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7419483661651611},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.6248805522918701},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5919510722160339},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.5638372302055359},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5316102504730225},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4941871464252472},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.47173014283180237},{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.4492987394332886},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.42552316188812256},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.4106695055961609},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34712594747543335},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.339763879776001},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3383166193962097},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3129649758338928},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11594930291175842},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10002255439758301},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07144001126289368},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06745514273643494}],"concepts":[{"id":"https://openalex.org/C14641543","wikidata":"https://www.wikidata.org/wiki/Q553270","display_name":"Group cohesiveness","level":2,"score":0.8950155973434448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7419483661651611},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.6248805522918701},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5919510722160339},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.5638372302055359},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5316102504730225},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4941871464252472},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.47173014283180237},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.4492987394332886},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.42552316188812256},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.4106695055961609},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34712594747543335},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.339763879776001},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3383166193962097},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3129649758338928},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11594930291175842},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10002255439758301},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07144001126289368},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06745514273643494},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2695664.2695840","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2695664.2695840","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 ACM Symposium on Applied Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hanyang.ac.kr:20.500.11754/24277","is_oa":false,"landing_page_url":"http://dl.acm.org/citation.cfm?doid=2695664.2695840","pdf_url":null,"source":{"id":"https://openalex.org/S4306401328","display_name":"The Royal Society of Chemistry\u2019s Journals, Books and Databases (The Royal Society of Chemistry)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2751430930","host_organization_name":"Royal Society of Chemistry","host_organization_lineage":["https://openalex.org/I2751430930"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12"}],"awards":[{"id":"https://openalex.org/G1054619808","display_name":null,"funder_award_id":"NIPA-2014-H0301-14-1022","funder_id":"https://openalex.org/F4320322065","funder_display_name":"National IT Industry Promotion Agency"},{"id":"https://openalex.org/G6033053387","display_name":null,"funder_award_id":"14-824-09-001","funder_id":"https://openalex.org/F4320322347","funder_display_name":"Ministry of Science ICT and Future Planning"}],"funders":[{"id":"https://openalex.org/F4320322065","display_name":"National IT Industry Promotion Agency","ror":"https://ror.org/026v53e29"},{"id":"https://openalex.org/F4320322347","display_name":"Ministry of Science ICT and Future Planning","ror":"https://ror.org/032e49973"},{"id":"https://openalex.org/F4320332195","display_name":"Samsung","ror":"https://ror.org/04w3jy968"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1527499847","https://openalex.org/W1980300263","https://openalex.org/W2003605635","https://openalex.org/W2008338985","https://openalex.org/W2009686152","https://openalex.org/W2021674147","https://openalex.org/W2038661547","https://openalex.org/W2070774497","https://openalex.org/W2148123869","https://openalex.org/W2151094178","https://openalex.org/W2161984370","https://openalex.org/W2171960770","https://openalex.org/W2172118809"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W1484355083","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W2170391450","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622"],"abstract_inverted_index":{"Recommender":[0],"systems":[1],"have":[2,14,31],"been":[3,32],"an":[4],"active":[5],"research":[6],"topic":[7],"for":[8],"the":[9,35,44,66,74,91,99,105,143,150],"past":[10],"decade.":[11],"Previous":[12],"studies":[13],"primarily":[15],"focused":[16],"on":[17,110,135],"recommendations":[18,30,63],"to":[19,27,102,154],"a":[20,49,56,77,82,87,115,136],"single":[21],"user.":[22],"Recently,":[23],"several":[24],"interesting":[25],"approaches":[26,39],"make":[28],"group":[29,62,67,117,129],"proposed.":[33],"However,":[34],"accuracy":[36],"of":[37,48,65,79,84,128],"existing":[38,151],"is":[40,146],"significantly":[41],"affected":[42],"by":[43],"size":[45,68],"and":[46,81,124],"cohesiveness":[47],"group.":[50],"In":[51],"this":[52,95],"paper,":[53],"we":[54,97,140],"present":[55],"novel":[57],"approach":[58,145],"that":[59,119,142],"makes":[60],"effective":[61],"regardless":[64],"or":[69],"cohesiveness.":[70],"We":[71,112],"first":[72],"model":[73],"relationships":[75],"between":[76],"set":[78,83],"users":[80],"items":[85],"as":[86],"bipartite":[88],"graph":[89],"from":[90],"ratings":[92],"information.":[93],"On":[94],"graph,":[96],"employ":[98],"belief":[100],"propagation":[101],"determine":[103],"probabilistically":[104],"target":[106],"user":[107],"group's":[108],"preference":[109],"items.":[111],"also":[113],"propose":[114],"new":[116],"type":[118],"reflects":[120],"real-life":[121,137],"groups":[122],"effectively":[123],"helps":[125],"better":[126],"evaluation":[127],"recommendation":[130],"approaches.":[131],"Through":[132],"extensive":[133],"experiments":[134],"data":[138],"set,":[139],"show":[141],"proposed":[144],"more":[147],"accurate":[148],"than":[149],"ones":[152],"up":[153],"20%.":[155]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2016-06-24T00:00:00"}
