{"id":"https://openalex.org/W2070774497","doi":"https://doi.org/10.1145/2396761.2398636","title":"Top-N recommendation through belief propagation","display_name":"Top-N recommendation through belief propagation","publication_year":2012,"publication_date":"2012-10-29","ids":{"openalex":"https://openalex.org/W2070774497","doi":"https://doi.org/10.1145/2396761.2398636","mag":"2070774497"},"language":"en","primary_location":{"id":"doi:10.1145/2396761.2398636","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2396761.2398636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM international conference on Information and knowledge management","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/A5101783889","display_name":"Jiwoon Ha","orcid":"https://orcid.org/0000-0002-6767-9121"},"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":"Jiwoon Ha","raw_affiliation_strings":["Hanyang University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanyang University, Seoul, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030763684","display_name":"Soonhyoung Kwon","orcid":"https://orcid.org/0000-0003-0409-2179"},"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":"Soon-Hyoung Kwon","raw_affiliation_strings":["Hanyang University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanyang University, Seoul, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","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, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanyang University, Seoul, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035605036","display_name":"Christos Faloutsos","orcid":"https://orcid.org/0000-0003-2996-9790"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christos Faloutsos","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054417053","display_name":"Sunju Park","orcid":"https://orcid.org/0000-0002-6398-4612"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sunju Park","raw_affiliation_strings":["Yonsei University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2343","last_page":"2346"},"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":0.995199978351593,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9857000112533569,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7479393482208252},{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.716987669467926},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.7130658626556396},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6914568543434143},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6474795937538147},{"id":"https://openalex.org/keywords/purchasing","display_name":"Purchasing","score":0.5197141170501709},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.4948257803916931},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4751981496810913},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4487275183200836},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4438946843147278},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3765479326248169},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3677941560745239},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.321774423122406},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2403242588043213},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19201698899269104},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12662312388420105},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09103330969810486},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06476062536239624}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7479393482208252},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.716987669467926},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.7130658626556396},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6914568543434143},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6474795937538147},{"id":"https://openalex.org/C2778813691","wikidata":"https://www.wikidata.org/wiki/Q1369832","display_name":"Purchasing","level":2,"score":0.5197141170501709},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.4948257803916931},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4751981496810913},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4487275183200836},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4438946843147278},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3765479326248169},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3677941560745239},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.321774423122406},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2403242588043213},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19201698899269104},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12662312388420105},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09103330969810486},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06476062536239624},{"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2396761.2398636","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2396761.2398636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM international conference on Information and knowledge management","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":13,"referenced_works":["https://openalex.org/W1904715515","https://openalex.org/W1906783320","https://openalex.org/W1976320242","https://openalex.org/W2042281163","https://openalex.org/W2057763140","https://openalex.org/W2077233202","https://openalex.org/W2082831169","https://openalex.org/W2118934678","https://openalex.org/W2134716712","https://openalex.org/W2148123869","https://openalex.org/W2161984370","https://openalex.org/W2171960770","https://openalex.org/W2998206837"],"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":{"The":[0],"top-n":[1,7,35],"recommendation":[2,36,86],"focuses":[3],"on":[4,22,44,72],"finding":[5],"the":[6,10,40,49,66,69,76,83,96],"items":[8,55],"that":[9,33,95],"target":[11,41,70],"user":[12,71],"is":[13,99],"likely":[14],"to":[15,64,101],"purchase":[16],"rather":[17],"than":[18,105],"predicting":[19],"his/her":[20],"ratings":[21],"individual":[23],"items.":[24,45,73],"In":[25],"this":[26],"paper,":[27],"we":[28],"propose":[29],"a":[30,57],"novel":[31],"method":[32,47,78,98,108,115],"provides":[34],"by":[37,81,109],"probabilistically":[38],"determining":[39],"user's":[42],"preference":[43,67],"This":[46],"models":[48],"purchasing":[50],"relationships":[51],"between":[52],"users":[53],"and":[54,60],"as":[56],"bipartite":[58],"graph":[59],"employs":[61],"Belief":[62],"Propagation":[63],"compute":[65],"of":[68],"We":[74,92],"analyze":[75],"proposed":[77,97],"in":[79,85],"detail":[80],"examining":[82],"changes":[84],"accuracy":[87],"under":[88],"different":[89],"parameter":[90],"settings.":[91],"also":[93],"show":[94],"up":[100],"40%":[102],"more":[103],"accurate":[104],"an":[106,113],"existing":[107],"comparing":[110],"it":[111],"with":[112],"RWR-based":[114],"via":[116],"extensive":[117],"experiments.":[118]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
