{"id":"https://openalex.org/W3046472536","doi":"https://doi.org/10.3233/jifs-200595","title":"Knowledge-based preference learning model for recommender system using adaptive neuro-fuzzy inference system","display_name":"Knowledge-based preference learning model for recommender system using adaptive neuro-fuzzy inference system","publication_year":2020,"publication_date":"2020-07-29","ids":{"openalex":"https://openalex.org/W3046472536","doi":"https://doi.org/10.3233/jifs-200595","mag":"3046472536"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-200595","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-200595","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","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/A5044849780","display_name":"S. Gopal Krishna Patro","orcid":"https://orcid.org/0000-0003-3130-339X"},"institutions":[{"id":"https://openalex.org/I4210139271","display_name":"GIET University","ror":"https://ror.org/051f2wp73","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210139271"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sunkuru Gopal Krishna Patro","raw_affiliation_strings":["Department of Computer Science and Engineering, GIET University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, GIET University, India","institution_ids":["https://openalex.org/I4210139271"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023910909","display_name":"Brojo Kishore Mishra","orcid":"https://orcid.org/0000-0002-7836-052X"},"institutions":[{"id":"https://openalex.org/I4210139271","display_name":"GIET University","ror":"https://ror.org/051f2wp73","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210139271"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Brojo Kishore Mishra","raw_affiliation_strings":["Department of Computer Science and Engineering, GIET University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, GIET University, India","institution_ids":["https://openalex.org/I4210139271"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053340752","display_name":"Sanjaya Kumar Panda","orcid":"https://orcid.org/0000-0003-3242-525X"},"institutions":[{"id":"https://openalex.org/I121750182","display_name":"National Institute of Technology Warangal","ror":"https://ror.org/017ebfz38","country_code":"IN","type":"education","lineage":["https://openalex.org/I121750182"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sanjaya Kumar Panda","raw_affiliation_strings":["National Institute of Technology, Warangal, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology, Warangal, India","institution_ids":["https://openalex.org/I121750182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101714489","display_name":"Raghvendra Kumar","orcid":"https://orcid.org/0000-0003-1311-7585"},"institutions":[{"id":"https://openalex.org/I4210139271","display_name":"GIET University","ror":"https://ror.org/051f2wp73","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210139271"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Raghvendra Kumar","raw_affiliation_strings":["Department of Computer Science and Engineering, GIET University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, GIET University, India","institution_ids":["https://openalex.org/I4210139271"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103047364","display_name":"Hoang Viet Long","orcid":"https://orcid.org/0000-0001-9883-9506"},"institutions":[{"id":"https://openalex.org/I141445968","display_name":"Ton Duc Thang University","ror":"https://ror.org/01drq0835","country_code":"VN","type":"education","lineage":["https://openalex.org/I141445968"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Hoang Viet Long","raw_affiliation_strings":["Division of Computational Mathematics and Engineering, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam","Faculty of Mathematics and Statistics, Ton Duc Thang University, Ho Chi Minh City, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Computational Mathematics and Engineering, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I141445968"]},{"raw_affiliation_string":"Faculty of Mathematics and Statistics, Ton Duc Thang University, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I141445968"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071084384","display_name":"Tr\u1ea7n M\u1ea1nh Tu\u1ea5n","orcid":"https://orcid.org/0000-0002-1117-7253"},"institutions":[{"id":"https://openalex.org/I182526193","display_name":"Thuyloi University","ror":"https://ror.org/04afshy24","country_code":"VN","type":"education","lineage":["https://openalex.org/I182526193"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Tran Manh Tuan","raw_affiliation_strings":["Faculty of Computer Science and Engineering, Thuyloi University, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Engineering, Thuyloi University, Hanoi, Vietnam","institution_ids":["https://openalex.org/I182526193"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5103047364"],"corresponding_institution_ids":["https://openalex.org/I141445968"],"apc_list":null,"apc_paid":null,"fwci":4.4554,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.95178672,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"39","issue":"3","first_page":"4651","last_page":"4665"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9980000257492065,"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":0.9980000257492065,"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":0.9894999861717224,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9837999939918518,"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/recommender-system","display_name":"Recommender system","score":0.8026041984558105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7616755962371826},{"id":"https://openalex.org/keywords/mean-absolute-percentage-error","display_name":"Mean absolute percentage error","score":0.5856504440307617},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5622595548629761},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5470080375671387},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5434354543685913},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5292869210243225},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.5203625559806824},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.48951852321624756},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4878223240375519},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.4255896210670471},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.3799014985561371},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.302114337682724},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.207867830991745},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14994198083877563},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13565677404403687}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8026041984558105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7616755962371826},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.5856504440307617},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5622595548629761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5470080375671387},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5434354543685913},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5292869210243225},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.5203625559806824},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.48951852321624756},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4878223240375519},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.4255896210670471},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.3799014985561371},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.302114337682724},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.207867830991745},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14994198083877563},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13565677404403687},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-200595","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-200595","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2519558098","https://openalex.org/W2586885364","https://openalex.org/W2592153011","https://openalex.org/W2596352504","https://openalex.org/W2604311458","https://openalex.org/W2759482137","https://openalex.org/W2767597400","https://openalex.org/W2772180578","https://openalex.org/W2781805743","https://openalex.org/W2783785634","https://openalex.org/W2794111591","https://openalex.org/W2794568143","https://openalex.org/W2795820093","https://openalex.org/W2798963398","https://openalex.org/W2802280634","https://openalex.org/W2803145220","https://openalex.org/W2809282873","https://openalex.org/W2811035854","https://openalex.org/W2885036498","https://openalex.org/W2893660059","https://openalex.org/W2899849645","https://openalex.org/W2910665723","https://openalex.org/W2915676182","https://openalex.org/W2931585265","https://openalex.org/W2963065930","https://openalex.org/W2973126236","https://openalex.org/W2982615100"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W2772628444","https://openalex.org/W4220714703","https://openalex.org/W2735929803","https://openalex.org/W2170391450","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2041004656","https://openalex.org/W4244255161","https://openalex.org/W3119865579"],"abstract_inverted_index":{"A":[0],"recommender":[1],"system":[2,51,89,133,199,224,272],"(RS)":[3],"delivers":[4],"personalized":[5],"suggestions":[6],"on":[7,10],"products":[8,286],"based":[9],"the":[11,33,50,54,60,70,91,101,105,110,116,136,139,149,152,164,168,174,179,193,203,208,215,249,252,269,275,285,288],"interest":[12],"of":[13,62,232,238,246,251,263],"a":[14,46,82,144],"particular":[15],"user.":[16],"Content-based":[17],"filtering":[18,22],"(CBF)":[19],"and":[20,75,98,128,148,207,218,240,258,266,278],"collaborative":[21],"(CF)":[23],"schemes":[24],"have":[25],"been":[26],"previously":[27],"used":[28],"for":[29,100,268,282,287],"this":[30],"task.":[31,103],"However,":[32],"main":[34],"challenge":[35],"in":[36,181,261],"RS":[37],"is":[38,107,120,143,200,212],"cold":[39],"start":[40],"problem":[41],"(CSP).":[42],"This":[43,88],"originates":[44],"once":[45],"new":[47,194,289],"user":[48,175],"joins":[49],"which":[52],"makes":[53],"recommendation":[55,102],"task":[56],"tedious":[57],"due":[58],"to":[59,172,188,192,274],"shortage":[61],"information":[63,166],"(clickstream,":[64],"dwell":[65],"time,":[66],"rating,":[67],"etc.)":[68],"regarding":[69],"user\u2019s":[71],"interest.":[72],"Therefore,":[73],"CBF":[74,219],"CF":[76,217],"are":[77],"combined":[78],"together":[79],"by":[80,122,158,177],"developing":[81],"knowledge-based":[83],"preference":[84],"learning":[85],"(KBPL)":[86],"system.":[87],"considers":[90],"demographic":[92],"data":[93,119,170],"that":[94],"includes":[95],"gender,":[96],"occupation,":[97],"age":[99],"Initially,":[104],"dataset":[106,180,206],"clustered":[108],"using":[109],"self-organizing":[111],"map":[112],"(SOM)":[113],"technique,":[114],"then":[115],"high":[117],"dimensional":[118],"decomposed":[121],"higher-order":[123],"singular":[124],"value":[125,211],"decomposition":[126],"(HOSVD)":[127],"finally,":[129],"Adaptive":[130],"neuro-fuzzy":[131],"inference":[132],"(ANFIS)":[134],"predicts":[135],"output.":[137],"For":[138],"big":[140],"dataset,":[141],"SOM":[142],"robust":[145],"clustering":[146],"method":[147],"similarities":[150],"among":[151],"users":[153],"can":[154],"be":[155],"easily":[156],"observed":[157],"grid":[159],"clustering.":[160],"The":[161,196,221],"HOSVD":[162],"extracts":[163],"required":[165],"from":[167],"available":[169],"set":[171],"find":[173],"similarity":[176],"decomposing":[178],"lower":[182],"dimensions.":[183],"ANFIS":[184],"uses":[185],"IF-THEN":[186],"rules":[187],"recommend":[189],"similar":[190],"product":[191],"users.":[195,290],"proposed":[197,222,270],"KBPL":[198,223,271],"evaluated":[201],"with":[202,214],"Black":[204],"Friday":[205],"obtained":[209,226],"error":[210,230,236,244,257],"compared":[213,273],"existing":[216,276],"techniques.":[220],"has":[225],"root":[227],"mean":[228,234,241],"squared":[229],"(RMSE)":[231],"0.71%,":[233],"absolute":[235,242],"(MAE)":[237],"0.54%,":[239],"percentage":[243],"(MAPE)":[245],"37%.":[247],"Overall,":[248],"outcome":[250],"comparative":[253],"analysis":[254],"shows":[255],"minimum":[256],"better":[259],"performance":[260],"terms":[262],"precision,":[264],"recall,":[265],"f-measure":[267],"techniques":[277],"therefore":[279],"more":[280],"suitable":[281],"accurately":[283],"recommending":[284]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}