{"id":"https://openalex.org/W2557131523","doi":"https://doi.org/10.1109/iscit.2016.7751621","title":"Application of deep belief nets for collaborative filtering","display_name":"Application of deep belief nets for collaborative filtering","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2557131523","doi":"https://doi.org/10.1109/iscit.2016.7751621","mag":"2557131523"},"language":"en","primary_location":{"id":"doi:10.1109/iscit.2016.7751621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscit.2016.7751621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 16th International Symposium on Communications and Information Technologies (ISCIT)","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/A5076987947","display_name":"Chong Zhao","orcid":"https://orcid.org/0000-0002-9655-6454"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chong Zhao","raw_affiliation_strings":["School of Software, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100991857","display_name":"Jiyun Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiyun Shi","raw_affiliation_strings":["School of Software, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101626824","display_name":"Tao Jiang","orcid":"https://orcid.org/0000-0002-7071-1639"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Jiang","raw_affiliation_strings":["School of Software, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101141560","display_name":"Junyao Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyao Zhao","raw_affiliation_strings":["School of Software, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058773557","display_name":"Jiehao Chen","orcid":"https://orcid.org/0000-0002-2077-1908"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiehao Chen","raw_affiliation_strings":["School of Software, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5076987947"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":2.6539,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.92184714,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"201","last_page":"205"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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/T11448","display_name":"Face recognition and analysis","score":0.9115999937057495,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9057000279426575,"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/collaborative-filtering","display_name":"Collaborative filtering","score":0.8555886745452881},{"id":"https://openalex.org/keywords/movielens","display_name":"MovieLens","score":0.85417640209198},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8043517470359802},{"id":"https://openalex.org/keywords/deep-belief-network","display_name":"Deep belief network","score":0.7480959296226501},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6532137393951416},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6464135646820068},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6078661680221558},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.519504189491272},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4475840926170349},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4447324573993683},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41389307379722595},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3571494519710541}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.8555886745452881},{"id":"https://openalex.org/C2776156558","wikidata":"https://www.wikidata.org/wiki/Q4353746","display_name":"MovieLens","level":4,"score":0.85417640209198},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8043517470359802},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.7480959296226501},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6532137393951416},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6464135646820068},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6078661680221558},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.519504189491272},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4475840926170349},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4447324573993683},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41389307379722595},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3571494519710541}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscit.2016.7751621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscit.2016.7751621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 16th International Symposium on Communications and Information Technologies (ISCIT)","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":10,"referenced_works":["https://openalex.org/W1993845689","https://openalex.org/W2008835572","https://openalex.org/W2099866409","https://openalex.org/W2100235918","https://openalex.org/W2106051978","https://openalex.org/W2116064496","https://openalex.org/W2136922672","https://openalex.org/W2158496368","https://openalex.org/W4285719527","https://openalex.org/W6652291532"],"related_works":["https://openalex.org/W2355698112","https://openalex.org/W2022984797","https://openalex.org/W4394818607","https://openalex.org/W2986679525","https://openalex.org/W2797500822","https://openalex.org/W2794458286","https://openalex.org/W4205822456","https://openalex.org/W4299358966","https://openalex.org/W2537367858","https://openalex.org/W4288082747"],"abstract_inverted_index":{"Currently,":[0],"collaborative":[1],"filtering":[2],"(CF)":[3],"is":[4,17],"one":[5],"of":[6],"the":[7,15,52,74,81,86],"most":[8],"popular":[9],"and":[10,44,67,93,100],"successful":[11],"recommendation":[12,26,62,128],"technologies.":[13],"However,":[14],"algorithm":[16,71,77],"easily":[18],"affected":[19],"by":[20,85],"data":[21,53],"sparsity,":[22],"leading":[23],"to":[24,50,108],"poor":[25],"accuracy.":[27],"Recently,":[28],"Deep":[29],"Belief":[30],"Nets":[31],"(DBNs)":[32],"have":[33],"been":[34],"successfully":[35,106],"applied":[36,107],"in":[37,56,72],"many":[38],"research":[39],"areas":[40],"including":[41],"image":[42],"classification":[43],"phone":[45],"recognition.":[46],"In":[47],"this":[48,97],"paper,":[49],"solve":[51],"sparsity":[54],"problem":[55],"CF,":[57],"we":[58,111],"propose":[59],"a":[60],"hybrid":[61,98,123],"model":[63,99,124],"based":[64],"on":[65,116],"DBNs":[66,103],"K-nearest":[68],"neighbor":[69],"(KNN)":[70],"which":[73,119,135],"user-based":[75],"KNN":[76],"makes":[78],"predictions":[79],"using":[80],"user":[82],"features":[83],"extracted":[84],"DBNs.":[87],"We":[88],"also":[89],"present":[90],"efficient":[91],"learning":[92],"inference":[94],"methods":[95,134],"for":[96],"demonstrate":[101,120],"that":[102,121],"can":[104,125],"be":[105],"CF.":[109],"Finally,":[110],"carried":[112],"out":[113],"several":[114],"experiments":[115],"MovieLens":[117],"dataset":[118],"our":[122],"achieve":[126],"better":[127],"results":[129],"than":[130],"some":[131],"other":[132],"CF":[133],"are":[136],"widely":[137],"used.":[138]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}