{"id":"https://openalex.org/W2965684898","doi":"https://doi.org/10.1109/access.2019.2933048","title":"A Collaborative Filtering Approach Based on Na\u00efve Bayes Classifier","display_name":"A Collaborative Filtering Approach Based on Na\u00efve Bayes Classifier","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2965684898","doi":"https://doi.org/10.1109/access.2019.2933048","mag":"2965684898"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2933048","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2933048","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08787761.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08787761.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021420884","display_name":"Priscila Valdiviezo-D\u00edaz","orcid":"https://orcid.org/0000-0002-5216-8820"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Priscila Valdiviezo-Diaz","raw_affiliation_strings":["Departamento de Lenguajes y Sistemas Inform\u00e1ticos, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain"],"raw_orcid":"https://orcid.org/0000-0002-5216-8820","affiliations":[{"raw_affiliation_string":"Departamento de Lenguajes y Sistemas Inform\u00e1ticos, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044589432","display_name":"Fernando Ortega","orcid":"https://orcid.org/0000-0003-4765-1479"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Fernando Ortega","raw_affiliation_strings":["Departamento de Lenguajes y Sistemas Inform\u00e1ticos, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain"],"raw_orcid":"https://orcid.org/0000-0003-4765-1479","affiliations":[{"raw_affiliation_string":"Departamento de Lenguajes y Sistemas Inform\u00e1ticos, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109800295","display_name":"Eduardo Cobos","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eduardo Cobos","raw_affiliation_strings":["Ingenio Labs, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ingenio Labs, Madrid, Spain","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048392884","display_name":"Ra\u00fal Lara-Cabrera","orcid":"https://orcid.org/0000-0002-7959-1936"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Raul Lara-Cabrera","raw_affiliation_strings":["Departamento de Lenguajes y Sistemas Inform\u00e1ticos, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain"],"raw_orcid":"https://orcid.org/0000-0002-7959-1936","affiliations":[{"raw_affiliation_string":"Departamento de Lenguajes y Sistemas Inform\u00e1ticos, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":13.7541,"has_fulltext":true,"cited_by_count":94,"citation_normalized_percentile":{"value":0.98772752,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"108581","last_page":"108592"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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":1.0,"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/T11478","display_name":"Caching and Content Delivery","score":0.9857000112533569,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9757999777793884,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.8722604513168335},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8646576404571533},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7574949264526367},{"id":"https://openalex.org/keywords/information-overload","display_name":"Information overload","score":0.6011623740196228},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5000865459442139},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.4829672873020172},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48180049657821655},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.48171550035476685},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4502597749233246},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4422767758369446},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4398025572299957},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4346347153186798},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4131718873977661},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.3236023783683777},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.11396613717079163},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11166360974311829}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.8722604513168335},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8646576404571533},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7574949264526367},{"id":"https://openalex.org/C186625053","wikidata":"https://www.wikidata.org/wiki/Q1130191","display_name":"Information overload","level":2,"score":0.6011623740196228},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5000865459442139},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.4829672873020172},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48180049657821655},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.48171550035476685},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4502597749233246},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4422767758369446},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4398025572299957},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4346347153186798},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4131718873977661},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.3236023783683777},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.11396613717079163},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11166360974311829},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2019.2933048","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2933048","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08787761.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:01986723c9d24da49384aca1bb81de32","is_oa":true,"landing_page_url":"https://doaj.org/article/01986723c9d24da49384aca1bb81de32","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 108581-108592 (2019)","raw_type":"article"},{"id":"pmh:oai:oa.upm.es:79085","is_oa":true,"landing_page_url":"https://oa.upm.es/79085/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196323","display_name":"UPM Digital Archive (Technical University of Madrid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I88060688","host_organization_name":"Universidad Polit\u00e9cnica de Madrid","host_organization_lineage":["https://openalex.org/I88060688"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, ISSN 2169-3536, 2019-08-05, Vol. 7","raw_type":"info:eu-repo/semantics/acceptedVersion"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2933048","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2933048","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08787761.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320318905","display_name":"Universidad T\u00e9cnica Particular de Loja","ror":"https://ror.org/04dvbth24"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2965684898.pdf","grobid_xml":"https://content.openalex.org/works/W2965684898.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W238751520","https://openalex.org/W1563132617","https://openalex.org/W1590183771","https://openalex.org/W1601224910","https://openalex.org/W1690919088","https://openalex.org/W1942084513","https://openalex.org/W2025605741","https://openalex.org/W2030808931","https://openalex.org/W2054141820","https://openalex.org/W2105953200","https://openalex.org/W2118375674","https://openalex.org/W2135790056","https://openalex.org/W2137245235","https://openalex.org/W2229809859","https://openalex.org/W2398584644","https://openalex.org/W2461635316","https://openalex.org/W2528611098","https://openalex.org/W2624298973","https://openalex.org/W2749822235","https://openalex.org/W2762409054","https://openalex.org/W2763670665","https://openalex.org/W2766088331","https://openalex.org/W2766477843","https://openalex.org/W2784713518","https://openalex.org/W2786714170","https://openalex.org/W2788090359","https://openalex.org/W2791544193","https://openalex.org/W2796630939","https://openalex.org/W2809750269","https://openalex.org/W2890921491","https://openalex.org/W2895694077","https://openalex.org/W2900899353","https://openalex.org/W6640478555","https://openalex.org/W6743107820","https://openalex.org/W6744393810","https://openalex.org/W6745196915","https://openalex.org/W6748414583","https://openalex.org/W7070499600"],"related_works":["https://openalex.org/W2792883393","https://openalex.org/W2742858030","https://openalex.org/W2061490181","https://openalex.org/W2752494176","https://openalex.org/W4253389314","https://openalex.org/W2134716712","https://openalex.org/W4246269187","https://openalex.org/W2548120918","https://openalex.org/W2364400397","https://openalex.org/W7602594"],"abstract_inverted_index":{"Recommender":[0],"system":[1],"is":[2,80],"an":[3],"information":[4,10],"filtering":[5,18,88],"tool":[6],"used":[7],"to":[8,21,50,111],"alleviate":[9],"overload":[11],"for":[12],"users":[13,22],"on":[14,24,82],"the":[15,116,120,131],"web.":[16],"Collaborative":[17],"recommends":[19,91],"items":[20,92],"based":[23,81],"their":[25],"historical":[26],"rating":[27],"information.":[28],"There":[29],"are":[30,45],"two":[31],"approaches:":[32],"memory-based,":[33],"which":[34,90],"usually":[35],"provides":[36,61],"inaccurate":[37],"but":[38,48,71],"explainable":[39],"recommendations;":[40],"and":[41,85,97,128],"model-based,":[42],"whose":[43],"recommendations":[44,64],"more":[46],"precise":[47],"hard":[49],"understand.":[51],"Here":[52],"we":[53],"propose":[54],"a":[55],"Bayesian":[56],"model":[57,79],"that":[58],"not":[59],"only":[60],"us":[62],"with":[63],"as":[65,67],"good":[66,108],"matrix":[68],"factorization":[69],"models,":[70],"these":[72],"predictions":[73],"can":[74],"also":[75,129],"be":[76],"explained.":[77],"The":[78],"both":[83],"user-based":[84],"item-based":[86],"collaborative":[87],"approaches,":[89],"by":[93],"using":[94,104,119],"similar":[95],"users'":[96],"items'":[98],"information,":[99],"respectively.":[100],"Experiments":[101],"carried":[102],"out":[103],"four":[105],"datasets":[106],"present":[107],"results":[109],"compared":[110],"several":[112],"state-of-the-art":[113],"baselines,":[114],"achieving":[115],"best":[117],"performance":[118],"Normalized":[121],"Discounted":[122],"Cumulative":[123],"Gain":[124],"(nDCG)":[125],"quality":[126],"measure":[127],"improving":[130],"prediction's":[132],"accuracy":[133],"in":[134],"some":[135],"datasets.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":26},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}