{"id":"https://openalex.org/W2073518383","doi":"https://doi.org/10.1145/1864708.1864751","title":"A belief propagation based recommender system for online services","display_name":"A belief propagation based recommender system for online services","publication_year":2010,"publication_date":"2010-09-26","ids":{"openalex":"https://openalex.org/W2073518383","doi":"https://doi.org/10.1145/1864708.1864751","mag":"2073518383"},"language":"en","primary_location":{"id":"doi:10.1145/1864708.1864751","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1864708.1864751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fourth ACM conference on Recommender systems","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/A5028326739","display_name":"Erman Ayday","orcid":"https://orcid.org/0000-0003-3383-1081"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erman Ayday","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA","Georgia Institute of Technology Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083854532","display_name":"Faramarz Fekri","orcid":"https://orcid.org/0000-0001-5008-8803"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Faramarz Fekri","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA","Georgia Institute of Technology Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":1.5318,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.85035716,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"217","last_page":"220"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.996999979019165,"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"}},{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9886999726295471,"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/belief-propagation","display_name":"Belief propagation","score":0.8796648979187012},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8079309463500977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7832789421081543},{"id":"https://openalex.org/keywords/factor-graph","display_name":"Factor graph","score":0.7656747698783875},{"id":"https://openalex.org/keywords/movielens","display_name":"MovieLens","score":0.7530711889266968},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.603253185749054},{"id":"https://openalex.org/keywords/low-density-parity-check-code","display_name":"Low-density parity-check code","score":0.5211536884307861},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.45661965012550354},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4481727182865143},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44537076354026794},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.43791598081588745},{"id":"https://openalex.org/keywords/message-passing","display_name":"Message passing","score":0.42477336525917053},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4004647433757782},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3957814574241638},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3252923786640167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3132767677307129},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.2804219722747803}],"concepts":[{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.8796648979187012},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8079309463500977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7832789421081543},{"id":"https://openalex.org/C159246509","wikidata":"https://www.wikidata.org/wiki/Q5428725","display_name":"Factor graph","level":3,"score":0.7656747698783875},{"id":"https://openalex.org/C2776156558","wikidata":"https://www.wikidata.org/wiki/Q4353746","display_name":"MovieLens","level":4,"score":0.7530711889266968},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.603253185749054},{"id":"https://openalex.org/C67692717","wikidata":"https://www.wikidata.org/wiki/Q187444","display_name":"Low-density parity-check code","level":3,"score":0.5211536884307861},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.45661965012550354},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4481727182865143},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44537076354026794},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.43791598081588745},{"id":"https://openalex.org/C854659","wikidata":"https://www.wikidata.org/wiki/Q1859284","display_name":"Message passing","level":2,"score":0.42477336525917053},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4004647433757782},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3957814574241638},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3252923786640167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3132767677307129},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.2804219722747803},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1864708.1864751","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1864708.1864751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fourth ACM conference on Recommender systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W178169250","https://openalex.org/W1488971269","https://openalex.org/W1494890444","https://openalex.org/W1514583064","https://openalex.org/W1593088422","https://openalex.org/W1718512272","https://openalex.org/W1832221731","https://openalex.org/W2043403353","https://openalex.org/W2104345270","https://openalex.org/W2110325612","https://openalex.org/W2117354486","https://openalex.org/W2137813581","https://openalex.org/W2138057853"],"related_works":["https://openalex.org/W2122977448","https://openalex.org/W2124250880","https://openalex.org/W4301665663","https://openalex.org/W2963109230","https://openalex.org/W3177262287","https://openalex.org/W2286197641","https://openalex.org/W2757022491","https://openalex.org/W2978729728","https://openalex.org/W2555468667","https://openalex.org/W2785598795"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,179],"report":[4],"our":[5,156],"progress":[6],"in":[7,15,121,145,162],"the":[8,16,35,66,74,85,122,134,143,146,150,163,175,183,198],"first":[9],"application":[10],"of":[11,20,59,73,94,128,149],"iterative":[12,25],"probabilistic":[13,116],"algorithms":[14],"design":[17],"and":[18,45,87,96,168,195],"evaluation":[19,127],"recommender":[21,26,67,75,199],"systems.":[22,68,200],"The":[23,50,69],"proposed":[24],"system":[27],"(referred":[28],"to":[29,79],"as":[30,91],"BPRS)":[31],"is":[32,186],"based":[33],"on":[34,55],"belief":[36,51,184],"propagation,":[37],"a":[38,56,81,187],"powerful":[39],"decoding":[40],"algorithm":[41,53],"for":[42,65,108,197],"turbo":[43],"codes":[44],"Low-Density":[46],"Parity-Check":[47],"(LDPC)":[48],"codes.":[49],"propagation":[52,185],"relies":[54],"graph-based":[57],"representation":[58,72],"an":[60,126,160],"appropriately":[61],"chosen":[62],"factor":[63,70,97],"graph":[64,71],"systems":[76],"turned":[77],"out":[78],"be":[80,113],"bipartite":[82],"graph,":[83],"where":[84],"users":[86,151],"products":[88],"are":[89,100,180],"arranged":[90],"two":[92],"sets":[93],"variable":[95],"nodes":[98,120],"that":[99,139,182],"connected":[101],"via":[102,130],"some":[103],"edges.":[104],"Recommendations":[105],"(predicted":[106],"ratings)":[107],"each":[109],"particular":[110],"user":[111],"can":[112],"computed":[114],"by":[115],"message":[117],"passing":[118],"between":[119],"graph.":[123],"We":[124,137],"provide":[125],"BPRS":[129,140],"computer":[131],"simulations":[132],"using":[133],"MovieLens":[135],"dataset.":[136],"observed":[138],"iteratively":[141],"reduces":[142],"error":[144],"predicted":[147],"ratings":[148],"until":[152],"it":[153],"converges.":[154],"Further,":[155],"initial":[157],"results":[158],"indicate":[159],"improvement":[161],"Mean":[164,170],"Average":[165],"Error":[166,172],"(MAE)":[167],"Root":[169],"Square":[171],"(RMSE)":[173],"over":[174],"Item":[176],"Averaging.":[177],"Therefore,":[178],"confident":[181],"new":[188],"promising":[189],"approach":[190],"which":[191],"will":[192],"offer":[193],"robustness":[194],"accuracy":[196]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
