{"id":"https://openalex.org/W3150664896","doi":"https://doi.org/10.1142/s021962202150005x","title":"A Hybrid Recommender System Using KNN and Clustering","display_name":"A Hybrid Recommender System Using KNN and Clustering","publication_year":2021,"publication_date":"2021-03-01","ids":{"openalex":"https://openalex.org/W3150664896","doi":"https://doi.org/10.1142/s021962202150005x","mag":"3150664896"},"language":"en","primary_location":{"id":"doi:10.1142/s021962202150005x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021962202150005x","pdf_url":null,"source":{"id":"https://openalex.org/S207089700","display_name":"International Journal of Information Technology & Decision Making","issn_l":"0219-6220","issn":["0219-6220","1793-6845"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information Technology &amp; Decision Making","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/A5068491980","display_name":"Hao Fan","orcid":"https://orcid.org/0000-0001-9133-8135"},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Fan","raw_affiliation_strings":["College of Information Technology, Shanghai Ocean University, Shanghai, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Technology, Shanghai Ocean University, Shanghai, P. R. China","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021263789","display_name":"Kaijun Wu","orcid":"https://orcid.org/0000-0002-8939-1874"},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaijun Wu","raw_affiliation_strings":["College of Information Technology, Shanghai Ocean University, Shanghai, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Technology, Shanghai Ocean University, Shanghai, P. R. China","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019606307","display_name":"Ham\u00efd Parv\u00efn","orcid":"https://orcid.org/0000-0001-8717-7711"},"institutions":[{"id":"https://openalex.org/I110525433","display_name":"Islamic Azad University, Tehran","ror":"https://ror.org/01kzn7k21","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433"]},{"id":"https://openalex.org/I170238339","display_name":"Duy Tan University","ror":"https://ror.org/05ezss144","country_code":"VN","type":"education","lineage":["https://openalex.org/I170238339"]}],"countries":["IR","VN"],"is_corresponding":false,"raw_author_name":"Hamid Parvin","raw_affiliation_strings":["Department of Computer Engineering, Nourabad Mamasani Branch, Islamic Azad University, Nourabad Mamasani, Iran","Faculty of Information Technology, Duy Tan University, Da Nang 550000, Vietnam","Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Nourabad Mamasani Branch, Islamic Azad University, Nourabad Mamasani, Iran","institution_ids":["https://openalex.org/I110525433"]},{"raw_affiliation_string":"Faculty of Information Technology, Duy Tan University, Da Nang 550000, Vietnam","institution_ids":["https://openalex.org/I170238339"]},{"raw_affiliation_string":"Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam","institution_ids":["https://openalex.org/I170238339"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113502078","display_name":"Akram Beigi","orcid":null},"institutions":[{"id":"https://openalex.org/I83123760","display_name":"Shahid Rajaee Teacher Training University","ror":"https://ror.org/02nkz4493","country_code":"IR","type":"education","lineage":["https://openalex.org/I83123760"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Akram Beigi","raw_affiliation_strings":["Shahid Rajaee Teacher Training University, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shahid Rajaee Teacher Training University, Tehran, Iran","institution_ids":["https://openalex.org/I83123760"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067289531","display_name":"Kim-Hung Pho","orcid":"https://orcid.org/0000-0001-9743-1306"},"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":false,"raw_author_name":"Kim-Hung Pho","raw_affiliation_strings":["Fractional Calculus, Optimization and Algebra Research Group, Faculty of Mathematics and Statistics, Ton Duc Thang University, Ho Chi Minh City, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fractional Calculus, Optimization and Algebra Research Group, Faculty of Mathematics and Statistics, Ton Duc Thang University, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I141445968"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1295,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.92475225,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"20","issue":"02","first_page":"553","last_page":"596"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9972000122070312,"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"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9926000237464905,"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/computer-science","display_name":"Computer science","score":0.7778120040893555},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7225998640060425},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6737606525421143},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.5991747975349426},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.5746744871139526},{"id":"https://openalex.org/keywords/rss","display_name":"RSS","score":0.5424575805664062},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5386746525764465},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4995408058166504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4591282308101654},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.42422306537628174},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3596865236759186},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3219917416572571},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.18046677112579346}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7778120040893555},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7225998640060425},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6737606525421143},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.5991747975349426},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.5746744871139526},{"id":"https://openalex.org/C2385561","wikidata":"https://www.wikidata.org/wiki/Q45432","display_name":"RSS","level":2,"score":0.5424575805664062},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5386746525764465},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4995408058166504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4591282308101654},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.42422306537628174},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3596865236759186},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3219917416572571},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.18046677112579346},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s021962202150005x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021962202150005x","pdf_url":null,"source":{"id":"https://openalex.org/S207089700","display_name":"International Journal of Information Technology & Decision Making","issn_l":"0219-6220","issn":["0219-6220","1793-6845"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information Technology &amp; Decision Making","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:wsi:ijitdm:v:20:y:2021:i:02:n:s021962202150005x","is_oa":false,"landing_page_url":"http://www.worldscientific.com/doi/abs/10.1142/S021962202150005X","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":107,"referenced_works":["https://openalex.org/W130990728","https://openalex.org/W153886719","https://openalex.org/W217162355","https://openalex.org/W281665770","https://openalex.org/W291570921","https://openalex.org/W1024531550","https://openalex.org/W1228575997","https://openalex.org/W1412447802","https://openalex.org/W1486317198","https://openalex.org/W1493526108","https://openalex.org/W1530276735","https://openalex.org/W1542664738","https://openalex.org/W1557681559","https://openalex.org/W1643269238","https://openalex.org/W1833785989","https://openalex.org/W1852540207","https://openalex.org/W1933799439","https://openalex.org/W1947441444","https://openalex.org/W1964346230","https://openalex.org/W1966553486","https://openalex.org/W1969269637","https://openalex.org/W1970079616","https://openalex.org/W1971654081","https://openalex.org/W1972363527","https://openalex.org/W1978707534","https://openalex.org/W1994389483","https://openalex.org/W1996605223","https://openalex.org/W1999047234","https://openalex.org/W1999627569","https://openalex.org/W2001488908","https://openalex.org/W2002463121","https://openalex.org/W2005038750","https://openalex.org/W2005156851","https://openalex.org/W2010360487","https://openalex.org/W2012234676","https://openalex.org/W2013728466","https://openalex.org/W2022097286","https://openalex.org/W2024428474","https://openalex.org/W2025495819","https://openalex.org/W2029119963","https://openalex.org/W2031634675","https://openalex.org/W2034138878","https://openalex.org/W2035758533","https://openalex.org/W2040974535","https://openalex.org/W2046857511","https://openalex.org/W2050346719","https://openalex.org/W2052477699","https://openalex.org/W2054141820","https://openalex.org/W2055252587","https://openalex.org/W2055515294","https://openalex.org/W2056193850","https://openalex.org/W2061572266","https://openalex.org/W2066036313","https://openalex.org/W2068737686","https://openalex.org/W2075688282","https://openalex.org/W2079139757","https://openalex.org/W2082542342","https://openalex.org/W2084127140","https://openalex.org/W2086410982","https://openalex.org/W2091209984","https://openalex.org/W2094782448","https://openalex.org/W2100235918","https://openalex.org/W2106090956","https://openalex.org/W2113273124","https://openalex.org/W2113609601","https://openalex.org/W2114433479","https://openalex.org/W2116206254","https://openalex.org/W2117354486","https://openalex.org/W2118934678","https://openalex.org/W2123513914","https://openalex.org/W2124591829","https://openalex.org/W2127480961","https://openalex.org/W2128070164","https://openalex.org/W2128629010","https://openalex.org/W2135793722","https://openalex.org/W2137728971","https://openalex.org/W2138004192","https://openalex.org/W2145360759","https://openalex.org/W2147654806","https://openalex.org/W2147859400","https://openalex.org/W2150593711","https://openalex.org/W2150886314","https://openalex.org/W2153889650","https://openalex.org/W2155106456","https://openalex.org/W2155912844","https://openalex.org/W2159094788","https://openalex.org/W2164998137","https://openalex.org/W2165611133","https://openalex.org/W2171960770","https://openalex.org/W2179043097","https://openalex.org/W2188093611","https://openalex.org/W2293286118","https://openalex.org/W2474583565","https://openalex.org/W2489782956","https://openalex.org/W2751370177","https://openalex.org/W2757344433","https://openalex.org/W2766544915","https://openalex.org/W2786172638","https://openalex.org/W2912919155","https://openalex.org/W2981842822","https://openalex.org/W2998979401","https://openalex.org/W3007548282","https://openalex.org/W3023728302","https://openalex.org/W3045116697","https://openalex.org/W3096808766","https://openalex.org/W4230445183","https://openalex.org/W4292003697"],"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/W135044020","https://openalex.org/W2103058005"],"abstract_inverted_index":{"Recommender":[0],"Systems":[1],"([Formula:":[2,10,30,49,55,74],"see":[3,11,28,31,50,56,70,75,78,82,86,91,131,165,172,205,209],"text])":[4,12,51],"are":[5,15,63,94,102],"known":[6],"in":[7,163,212],"the":[8,19,23,40,64,89,106,109,169,188,195,198,202,222,226,241],"E-Commerce":[9],"field.":[13],"They":[14],"expected":[16],"to":[17,22,37,68,135,194],"suggest":[18],"accurate":[20],"goods/musics/films/items":[21],"consumers/clients/people/users.":[24],"Recent":[25],"Hybrid":[26],"[Formula:":[27,69,77,81,85,90,130,164,171,204,208],"text]s":[29,79,92],"text]":[32,71,83,132,166,206,210],"have":[33,98,113],"made":[34],"us":[35],"able":[36],"deal":[38],"with":[39,123],"most":[41,65],"important":[42,66],"shortages":[43],"of":[44,111,168,187,197],"traditional":[45,203],"Content-based":[46],"F":[47],"iltering":[48],"and":[52,61,84,127,139,179,201,207],"Collaborative":[53],"Filtering":[54],"text]).":[57,76],"Cold":[58],"start,":[59,125],"scalability":[60,126],"sparsity":[62,128],"challenges":[67],"recommender":[72],"systems":[73],"combine":[80],"text].":[87,173],"While":[88],"that":[93,225],"based":[95],"on":[96,108,145],"memory":[97],"high":[99,117],"accuracy,":[100],"they":[101],"not":[103,229],"scalable.":[104],"Contrarily,":[105],"RSs":[107],"basis":[110],"models":[112],"low":[114],"accuracy":[115],"but":[116,234],"scalability.":[118],"Thus,":[119],"aiming":[120],"at":[121],"dealing":[122],"cold":[124],"challenges,":[129],"is":[133,152],"proposed":[134,170,227],"use":[136],"both":[137],"methods":[138,200],"also":[140,235],"it":[141],"has":[142,160,175,191,231,236],"been":[143,161,176,192],"evaluated":[144],"a":[146,216,220],"real":[147,217],"benchmark.":[148],"An":[149],"ontology,":[150],"which":[151],"automatically":[153,177],"created":[154,178],"by":[155,181],"an":[156,182],"intelligently":[157],"collected":[158],"wordnet,":[159],"employed":[162],"segment":[167],"It":[174],"enhanced":[180],"additional":[183],"process.":[184],"The":[185],"functionality":[186],"recommended":[189],"framework":[190],"superior":[193],"performance":[196,233],"state-of-the-art":[199,242],"embedded":[211],"our":[213],"method.":[214],"Using":[215],"dataset":[218],"as":[219],"benchmark,":[221],"experimentations":[223],"indicate":[224],"method":[228],"only":[230],"better":[232],"more":[237],"efficacy":[238],"rather":[239],"than":[240],"methods.":[243]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
