{"id":"https://openalex.org/W2920963091","doi":"https://doi.org/10.1109/istel.2018.8661079","title":"Application of Beta Random Variables to Category-based Collaborative Filtering","display_name":"Application of Beta Random Variables to Category-based Collaborative Filtering","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2920963091","doi":"https://doi.org/10.1109/istel.2018.8661079","mag":"2920963091"},"language":"en","primary_location":{"id":"doi:10.1109/istel.2018.8661079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/istel.2018.8661079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 9th International Symposium on Telecommunications (IST)","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/A5015902386","display_name":"Hadi Kalamati","orcid":null},"institutions":[{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Hadi Kalamati","raw_affiliation_strings":["Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran","institution_ids":["https://openalex.org/I86958956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026330809","display_name":"Mohammad-R. Akbarzadeh-T","orcid":"https://orcid.org/0000-0001-5626-5559"},"institutions":[{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad-R. Akbarzadeh-T","raw_affiliation_strings":["Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran","institution_ids":["https://openalex.org/I86958956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068708174","display_name":"Sayyed-Ali Hossayni","orcid":"https://orcid.org/0000-0002-3381-5738"},"institutions":[{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Sayyed-Ali Hossayni","raw_affiliation_strings":["Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran","institution_ids":["https://openalex.org/I86958956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015902386"],"corresponding_institution_ids":["https://openalex.org/I86958956"],"apc_list":null,"apc_paid":null,"fwci":0.3927,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74719359,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"102","last_page":"107"},"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/T11309","display_name":"Music and Audio Processing","score":0.9790999889373779,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9672999978065491,"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/movielens","display_name":"MovieLens","score":0.8699190020561218},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.8127957582473755},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7167222499847412},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.6479920148849487},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6451026201248169},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5643455982208252},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5323814153671265},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4934193193912506},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4763374924659729},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4428560435771942},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4326167106628418},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4161534905433655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40822747349739075},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3556134104728699},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20960870385169983},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10535728931427002}],"concepts":[{"id":"https://openalex.org/C2776156558","wikidata":"https://www.wikidata.org/wiki/Q4353746","display_name":"MovieLens","level":4,"score":0.8699190020561218},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.8127957582473755},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7167222499847412},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.6479920148849487},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6451026201248169},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5643455982208252},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5323814153671265},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4934193193912506},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4763374924659729},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4428560435771942},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4326167106628418},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4161534905433655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40822747349739075},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3556134104728699},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20960870385169983},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10535728931427002},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/istel.2018.8661079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/istel.2018.8661079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 9th International Symposium on Telecommunications (IST)","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":24,"referenced_works":["https://openalex.org/W50405351","https://openalex.org/W1542664738","https://openalex.org/W1576110109","https://openalex.org/W2011887271","https://openalex.org/W2013418341","https://openalex.org/W2042281163","https://openalex.org/W2053811285","https://openalex.org/W2062757953","https://openalex.org/W2064637959","https://openalex.org/W2074263350","https://openalex.org/W2082723490","https://openalex.org/W2098679539","https://openalex.org/W2102148524","https://openalex.org/W2140910558","https://openalex.org/W2142144955","https://openalex.org/W2165072487","https://openalex.org/W2170304975","https://openalex.org/W2185380071","https://openalex.org/W2409947580","https://openalex.org/W2518984289","https://openalex.org/W2564903370","https://openalex.org/W2804690737","https://openalex.org/W6680750130","https://openalex.org/W6751929384"],"related_works":["https://openalex.org/W2797500822","https://openalex.org/W2355698112","https://openalex.org/W2022984797","https://openalex.org/W2986679525","https://openalex.org/W2794458286","https://openalex.org/W4205822456","https://openalex.org/W4299358966","https://openalex.org/W2537367858","https://openalex.org/W2981634480","https://openalex.org/W4288082747"],"abstract_inverted_index":{"Memory-based":[0],"Collaborating":[1],"Filtering":[2,38,67],"(MbCF)":[3],"is":[4,39,78],"one":[5],"of":[6,33,96,105],"the":[7,13,31,51,75,81,97,103,106,124,131,137,140,145],"most":[8],"common":[9],"techniques":[10],"utilized":[11],"by":[12,49,73,80,113,139],"recommender":[14],"system.":[15],"Despite":[16],"its":[17,46],"many":[18],"advantages":[19],"and":[20,134,148],"wide":[21],"applicability,":[22],"this":[23,59],"technique":[24],"suffers":[25],"high":[26],"computational":[27,71,119],"complexity,":[28],"especially":[29],"in":[30,150],"presence":[32],"scalability":[34],"issues.":[35],"Category-based":[36,65],"Collaborative":[37,66],"an":[40],"approach":[41],"to":[42],"MbCF":[43,155],"for":[44,92],"alleviating":[45],"mentioned":[47,132],"drawbacks":[48],"categorizing":[50],"users'":[52],"ratings":[53],"under":[54],"a":[55,63,114],"few":[56],"categories.":[57],"In":[58],"paper,":[60],"we":[61],"propose":[62],"new":[64],"method":[68,133],"with":[69,117,152],"linear":[70,118],"complexity":[72],"which":[74],"category":[76],"information":[77,138],"modeled":[79],"Beta":[82,85],"random":[83,86],"variable.":[84],"variable":[87],"requires":[88],"only":[89],"two":[90],"parameters":[91,104],"intelligent":[93],"data":[94],"modeling":[95],"bipolar":[98],"(negative/positive)":[99],"emotional":[100],"patterns.":[101],"Then,":[102],"corresponding":[107],"probability":[108],"distribution":[109],"function":[110],"are":[111],"estimated":[112],"Bayesian":[115],"estimator":[116],"complexity.":[120],"The":[121],"experiments":[122],"on":[123],"MovieLens":[125],"1M":[126],"dataset":[127],"prove":[128],"that":[129],"utilizing":[130],"correspondingly":[135],"compressing":[136],"proposed":[141],"probabilistic":[142],"model":[143],"improves":[144],"prediction":[146],"accuracy":[147],"time":[149],"comparison":[151],"other":[153],"state-of-the-art":[154],"algorithms.":[156]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}