{"id":"https://openalex.org/W4297745139","doi":"https://doi.org/10.31577/cai_2022_3_757","title":"New Strategy Based on RBF Network to Develop a Collaborative Filtering Recommender System","display_name":"New Strategy Based on RBF Network to Develop a Collaborative Filtering Recommender System","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4297745139","doi":"https://doi.org/10.31577/cai_2022_3_757"},"language":"en","primary_location":{"id":"doi:10.31577/cai_2022_3_757","is_oa":true,"landing_page_url":"https://doi.org/10.31577/cai_2022_3_757","pdf_url":null,"source":{"id":"https://openalex.org/S4210200093","display_name":"Computing and Informatics","issn_l":"1335-9150","issn":["1335-9150","2585-8807"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing and Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.31577/cai_2022_3_757","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084388978","display_name":"Maryam Mohammadi","orcid":"https://orcid.org/0009-0007-4485-8446"},"institutions":[{"id":"https://openalex.org/I181744264","display_name":"Kharazmi University","ror":"https://ror.org/05hsgex59","country_code":"IR","type":"education","lineage":["https://openalex.org/I181744264"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Maryam Mohammadi","raw_affiliation_strings":["Faculty of Mathematical Sciences and Computer, Kharazmi University, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mathematical Sciences and Computer, Kharazmi University, Tehran, Iran","institution_ids":["https://openalex.org/I181744264"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034744007","display_name":"Somaye Arabi Naree","orcid":null},"institutions":[{"id":"https://openalex.org/I181744264","display_name":"Kharazmi University","ror":"https://ror.org/05hsgex59","country_code":"IR","type":"education","lineage":["https://openalex.org/I181744264"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Somaye Arabi Naree","raw_affiliation_strings":["Faculty of Mathematical Sciences and Computer, Kharazmi University, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mathematical Sciences and Computer, Kharazmi University, Tehran, Iran","institution_ids":["https://openalex.org/I181744264"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008792054","display_name":"Mohammad-Ali Naseri","orcid":null},"institutions":[{"id":"https://openalex.org/I181744264","display_name":"Kharazmi University","ror":"https://ror.org/05hsgex59","country_code":"IR","type":"education","lineage":["https://openalex.org/I181744264"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad-Ali Naseri","raw_affiliation_strings":["Faculty of Mathematical Sciences and Computer, Kharazmi University, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mathematical Sciences and Computer, Kharazmi University, Tehran, Iran","institution_ids":["https://openalex.org/I181744264"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.956,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80927739,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"41","issue":"3","first_page":"757","last_page":"787"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9886999726295471,"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":0.9886999726295471,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9760000109672546,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10068","display_name":"Technology Adoption and User Behaviour","score":0.9136999845504761,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.8752837181091309},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7866754531860352},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7715706825256348},{"id":"https://openalex.org/keywords/cold-start","display_name":"Cold start (automotive)","score":0.6296665072441101},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5845391750335693},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5511327981948853},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5466955900192261},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5379375219345093},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5137108564376831},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.49260765314102173},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.44675421714782715},{"id":"https://openalex.org/keywords/information-overload","display_name":"Information overload","score":0.4449917674064636},{"id":"https://openalex.org/keywords/movielens","display_name":"MovieLens","score":0.4344369173049927},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4256565272808075},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1138060986995697},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.096122145652771}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.8752837181091309},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7866754531860352},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7715706825256348},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.6296665072441101},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5845391750335693},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5511327981948853},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5466955900192261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5379375219345093},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5137108564376831},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.49260765314102173},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.44675421714782715},{"id":"https://openalex.org/C186625053","wikidata":"https://www.wikidata.org/wiki/Q1130191","display_name":"Information overload","level":2,"score":0.4449917674064636},{"id":"https://openalex.org/C2776156558","wikidata":"https://www.wikidata.org/wiki/Q4353746","display_name":"MovieLens","level":4,"score":0.4344369173049927},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4256565272808075},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1138060986995697},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.096122145652771},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.31577/cai_2022_3_757","is_oa":true,"landing_page_url":"https://doi.org/10.31577/cai_2022_3_757","pdf_url":null,"source":{"id":"https://openalex.org/S4210200093","display_name":"Computing and Informatics","issn_l":"1335-9150","issn":["1335-9150","2585-8807"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing and Informatics","raw_type":"journal-article"},{"id":"pmh:oai:www.research.unipd.it:11577/3468706","is_oa":true,"landing_page_url":"https://hdl.handle.net/11577/3468706","pdf_url":null,"source":{"id":"https://openalex.org/S4306402547","display_name":"Padua Research Archive (University of Padova)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.31577/cai_2022_3_757","is_oa":true,"landing_page_url":"https://doi.org/10.31577/cai_2022_3_757","pdf_url":null,"source":{"id":"https://openalex.org/S4210200093","display_name":"Computing and Informatics","issn_l":"1335-9150","issn":["1335-9150","2585-8807"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing and Informatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W342359399","https://openalex.org/W1412447802","https://openalex.org/W1542664738","https://openalex.org/W1580960713","https://openalex.org/W1887964395","https://openalex.org/W1994389483","https://openalex.org/W2020488014","https://openalex.org/W2043403353","https://openalex.org/W2051856481","https://openalex.org/W2058641082","https://openalex.org/W2071590580","https://openalex.org/W2090899659","https://openalex.org/W2099866409","https://openalex.org/W2100235918","https://openalex.org/W2110325612","https://openalex.org/W2116802659","https://openalex.org/W2155106456","https://openalex.org/W2159094788","https://openalex.org/W2160422165","https://openalex.org/W2171960770","https://openalex.org/W2200988052","https://openalex.org/W2209721355","https://openalex.org/W2210543184","https://openalex.org/W2219888463","https://openalex.org/W2229809859","https://openalex.org/W2253995343","https://openalex.org/W2341865734","https://openalex.org/W2402762555","https://openalex.org/W2509678028","https://openalex.org/W2583875861","https://openalex.org/W2605350416","https://openalex.org/W2739589480","https://openalex.org/W2768160734","https://openalex.org/W2779019473","https://openalex.org/W2803756548","https://openalex.org/W2889104665","https://openalex.org/W2897844661","https://openalex.org/W2912309376","https://openalex.org/W2913944817","https://openalex.org/W2987217585","https://openalex.org/W3007058738","https://openalex.org/W3015614398","https://openalex.org/W3031599506","https://openalex.org/W3101570666","https://openalex.org/W3124163687","https://openalex.org/W3199856156","https://openalex.org/W4253640397"],"related_works":["https://openalex.org/W2098758514","https://openalex.org/W2112596352","https://openalex.org/W1989387377","https://openalex.org/W2402445420","https://openalex.org/W2146781536","https://openalex.org/W1536897741","https://openalex.org/W1483129459","https://openalex.org/W2303903878","https://openalex.org/W2978745145","https://openalex.org/W2249579351"],"abstract_inverted_index":{"Collaborative":[0],"filtering":[1,26,45],"is":[2,57,76,94,132,141],"a":[3,43,125],"popular":[4],"recommendation":[5,46],"algorithm.":[6],"It":[7],"predicts":[8],"user's":[9],"interests":[10],"according":[11],"to":[12,134],"the":[13,21,24,68,71,87,117,128,137,151,156,158,163,168,176,181,187,190,196],"ratings":[14],"or":[15],"behaviour":[16],"of":[17,89,124,180,186,205],"other":[18],"users":[19],"in":[20,203],"system.":[22],"However,":[23],"collaborative":[25,44],"recommender":[27],"system":[28,61,198],"suffers":[29],"from":[30],"several":[31],"major":[32],"limitations":[33],"including":[34],"scalability,":[35],"sparsity,":[36],"and":[37,54,64,107,167,207],"cold":[38,171],"start.":[39],"In":[40,67,116],"this":[41],"paper,":[42],"approach":[47],"using":[48,79],"radial":[49],"basis":[50],"function":[51],"(RBF)":[52],"network":[53,81,92],"power":[55],"method":[56,111],"proposed.":[58],"The":[59,139,184],"proposed":[60,197],"has":[62],"offline":[63,69,118],"online":[65],"phases.":[66],"phase,":[70,119],"sparse":[72,164],"user-item":[73],"rating":[74,130,165],"matrix":[75,131],"completed":[77],"by":[78,96,143,154,161,174],"RBF":[80,91,105,114],"based":[82],"on":[83,86,189],"Cover's":[84],"theorem":[85],"separability":[88],"patterns.":[90],"learning":[93],"done":[95,142],"unsupervised":[97],"kernel-based":[98],"fuzzy":[99],"c-means":[100],"clustering":[101,155],"algorithm":[102],"for":[103,112],"selecting":[104,113],"centers,":[106],"supervised":[108],"gradient":[109],"descend":[110],"weights.":[115],"we":[120],"predict":[121],"non-rated":[122],"items":[123,179],"user.":[126,183],"Then":[127],"full":[129],"used":[133],"rank":[135],"all":[136],"users.":[138],"ranking":[140],"solving":[144],"an":[145],"eigenvalue":[146],"problem.":[147],"This":[148],"paper":[149],"overcomes":[150],"scalability":[152],"problem":[153,160,173],"users,":[157],"sparsity":[159],"completing":[162],"matrix,":[166],"new":[169],"user":[170],"start":[172],"recommending":[175],"top":[177],"rated":[178],"high-ranked":[182],"results":[185],"experiments,":[188],"benchmark":[191],"data":[192],"sets,":[193],"show":[194],"that":[195],"produces":[199],"high":[200],"quality":[201],"recommendation,":[202],"terms":[204],"accuracy":[206],"quality.":[208]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
