{"id":"https://openalex.org/W2809345036","doi":"https://doi.org/10.1080/13614568.2018.1489002","title":"Hybrid recommendations by content-aligned Bayesian personalized ranking","display_name":"Hybrid recommendations by content-aligned Bayesian personalized ranking","publication_year":2018,"publication_date":"2018-04-03","ids":{"openalex":"https://openalex.org/W2809345036","doi":"https://doi.org/10.1080/13614568.2018.1489002","mag":"2809345036"},"language":"en","primary_location":{"id":"doi:10.1080/13614568.2018.1489002","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13614568.2018.1489002","pdf_url":null,"source":{"id":"https://openalex.org/S5817663","display_name":"New Review of Hypermedia and Multimedia","issn_l":"0955-8543","issn":["0955-8543","1361-4568","1740-7842"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"New Review of Hypermedia and Multimedia","raw_type":"journal-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/A5008815142","display_name":"Ladislav Pe\u0161ka","orcid":"https://orcid.org/0000-0001-8082-4509"},"institutions":[{"id":"https://openalex.org/I21250087","display_name":"Charles University","ror":"https://ror.org/024d6js02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21250087"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Ladislav Peska","raw_affiliation_strings":["Department of Software Engineering, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic"],"raw_orcid":"https://orcid.org/0000-0001-8082-4509","affiliations":[{"raw_affiliation_string":"Department of Software Engineering, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic","institution_ids":["https://openalex.org/I21250087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5008815142"],"corresponding_institution_ids":["https://openalex.org/I21250087"],"apc_list":null,"apc_paid":null,"fwci":1.938,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.90309596,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"24","issue":"2","first_page":"88","last_page":"109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9927999973297119,"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/T10028","display_name":"Topic Modeling","score":0.9799000024795532,"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/ranking","display_name":"Ranking (information retrieval)","score":0.748879075050354},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.7372329831123352},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.5208319425582886},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45185720920562744},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41628116369247437},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.32168617844581604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26039958000183105},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22254878282546997}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.748879075050354},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.7372329831123352},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.5208319425582886},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45185720920562744},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41628116369247437},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.32168617844581604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26039958000183105},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22254878282546997},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/13614568.2018.1489002","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13614568.2018.1489002","pdf_url":null,"source":{"id":"https://openalex.org/S5817663","display_name":"New Review of Hypermedia and Multimedia","issn_l":"0955-8543","issn":["0955-8543","1361-4568","1740-7842"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"New Review of Hypermedia and Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1877596540","display_name":null,"funder_award_id":"17-22224S","funder_id":"https://openalex.org/F4320321006","funder_display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky"}],"funders":[{"id":"https://openalex.org/F4320321006","display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky","ror":"https://ror.org/01pv73b02"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W75330637","https://openalex.org/W294036254","https://openalex.org/W1976526581","https://openalex.org/W1979148915","https://openalex.org/W1980287119","https://openalex.org/W1981844236","https://openalex.org/W1988139567","https://openalex.org/W1997076302","https://openalex.org/W1999700406","https://openalex.org/W2002517365","https://openalex.org/W2026969803","https://openalex.org/W2029348196","https://openalex.org/W2029903504","https://openalex.org/W2043403353","https://openalex.org/W2054141820","https://openalex.org/W2085040216","https://openalex.org/W2090899659","https://openalex.org/W2101409192","https://openalex.org/W2116206254","https://openalex.org/W2137245235","https://openalex.org/W2138621090","https://openalex.org/W2140310134","https://openalex.org/W2146502635","https://openalex.org/W2151918265","https://openalex.org/W2154772527","https://openalex.org/W2163406942","https://openalex.org/W2166237624","https://openalex.org/W2213191543","https://openalex.org/W2219888463","https://openalex.org/W2295123179","https://openalex.org/W2341282804","https://openalex.org/W2523246573","https://openalex.org/W2725290758","https://openalex.org/W2751652478","https://openalex.org/W2767922591","https://openalex.org/W2779019473","https://openalex.org/W2963775850","https://openalex.org/W2964121744","https://openalex.org/W3016718392","https://openalex.org/W3105270890"],"related_works":["https://openalex.org/W2188500270","https://openalex.org/W2118564381","https://openalex.org/W2163901716","https://openalex.org/W2152204162","https://openalex.org/W2739821120","https://openalex.org/W2150136235","https://openalex.org/W2026095310","https://openalex.org/W2140661912","https://openalex.org/W2056806613","https://openalex.org/W2153069032"],"abstract_inverted_index":{"In":[0,83],"many":[1],"application":[2],"domains":[3],"of":[4,26,35,70,81,108,119,140,150,156,166,175,184],"recommender":[5],"systems,":[6],"content-based":[7],"(CB)":[8],"information":[9,18,42,110,133,212],"are":[10],"available":[11,191,213],"for":[12],"users,":[13],"objects":[14],"or":[15,54,64,144],"both.":[16],"CB":[17,41],"plays":[19],"an":[20],"important":[21],"role":[22],"in":[23,29,51,137],"the":[24,33,57,79,112,131,157,211],"process":[25,80],"recommendation,":[27],"especially":[28],"cold-start":[30,232],"scenarios,":[31],"where":[32],"volume":[34],"feedback":[36],"data":[37,198],"is":[38,121,162],"low.":[39],"However,":[40],"may":[43],"come":[44],"from":[45,199,214],"several,":[46],"possibly":[47],"external,":[48],"sources":[49,107],"varying":[50],"reliability,":[52],"coverage":[53],"relevance":[55,149],"to":[56,122],"recommending":[58],"task.":[59],"Therefore,":[60],"each":[61],"content":[62,109,132],"source":[63],"attribute":[65],"possess":[66],"a":[67,88,154,163,167],"different":[68],"level":[69],"informativeness,":[71],"which":[72],"should":[73],"be":[74],"taken":[75],"into":[76,111],"consideration":[77],"during":[78],"recommendation.":[82],"this":[84],"paper,":[85],"we":[86],"propose":[87],"Content-Aligned":[89],"Bayesian":[90,98],"Personalized":[91,99],"Ranking":[92,100],"Matrix":[93,101],"Factorization":[94,102],"method":[95,161,229],"(CABPR),":[96],"extending":[97],"(BPR)":[103],"by":[104,197,210],"incorporating":[105],"multiple":[106],"BPR\u2019s":[113],"optimization":[114,158,176,180],"procedure.":[115,159,181],"The":[116],"working":[117],"principle":[118],"CABPR":[120,146,160,185,219],"calculate":[123],"user-to-user":[124],"and":[125,134,178,202,206],"object-to-object":[126],"similarity":[127,151],"matrices":[128,152],"based":[129],"on":[130,188],"penalize":[135],"differences":[136],"latent":[138],"factors":[139],"closely":[141],"related":[142],"users\u2019":[143],"objects\u2019.":[145],"further":[147],"estimates":[148],"as":[153,225,227],"part":[155],"significant":[164],"extension":[165],"previously":[168],"published":[169],"BPR_MCA":[170,228],"method,":[171],"featuring":[172],"additional":[173],"variants":[174,183],"criterion":[177],"improved":[179],"Four":[182],"were":[186],"evaluated":[187],"two":[189],"publicly":[190],"datasets:":[192],"MovieLens":[193],"1M":[194],"dataset,":[195],"extended":[196,209],"IMDB,":[200],"DBTropes":[201],"ZIP":[203],"code":[204],"statistics":[205],"LOD-RecSys":[207],"dataset":[208],"DBPedia.":[215],"Experiments":[216],"shown":[217],"that":[218],"significantly":[220],"improves":[221],"over":[222],"standard":[223],"BPR":[224],"well":[226],"w.r.t.":[230],"several":[231],"scenarios.":[233]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}