{"id":"https://openalex.org/W4389247873","doi":"https://doi.org/10.3233/faia230935","title":"An Improved Collaborative Filtering Recommendation Algorithm Based on Clustering Optimization and Interest Migration","display_name":"An Improved Collaborative Filtering Recommendation Algorithm Based on Clustering Optimization and Interest Migration","publication_year":2023,"publication_date":"2023-11-30","ids":{"openalex":"https://openalex.org/W4389247873","doi":"https://doi.org/10.3233/faia230935"},"language":"en","primary_location":{"id":"doi:10.3233/faia230935","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia230935","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230935","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230935","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059109155","display_name":"Qingqing Ren","orcid":"https://orcid.org/0009-0006-2208-0947"},"institutions":[{"id":"https://openalex.org/I4210103622","display_name":"Research Foundation of The City University of New York","ror":"https://ror.org/01d03cj21","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210103622"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qingqing Ren","raw_affiliation_strings":["Fu Foundation School of Engineering and Applied Science, Columbia University in the City of New York, New York, U.S.A"],"affiliations":[{"raw_affiliation_string":"Fu Foundation School of Engineering and Applied Science, Columbia University in the City of New York, New York, U.S.A","institution_ids":["https://openalex.org/I4210103622"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063538934","display_name":"Hualing Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I905225518","display_name":"Shanghai University of International Business and Economics","ror":"https://ror.org/031t68441","country_code":"CN","type":"education","lineage":["https://openalex.org/I905225518"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hualing Liu","raw_affiliation_strings":["School of Statistics and Information, Shanghai University of International Business and Economics, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Statistics and Information, Shanghai University of International Business and Economics, Shanghai, China","institution_ids":["https://openalex.org/I905225518"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059109155"],"corresponding_institution_ids":["https://openalex.org/I4210103622"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.48412138,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9955999851226807,"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":0.9955999851226807,"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":0.9269000291824341,"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":0.9003999829292297,"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":0.8934478759765625},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.7765952944755554},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7006116509437561},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.666233241558075},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6258350014686584},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5973753333091736},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5912891030311584},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5793404579162598},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4919593036174774},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.466597318649292},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.43460845947265625},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.42853301763534546},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41271042823791504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3344936966896057},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3176037669181824}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.8934478759765625},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.7765952944755554},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7006116509437561},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.666233241558075},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6258350014686584},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5973753333091736},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5912891030311584},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5793404579162598},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4919593036174774},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.466597318649292},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.43460845947265625},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.42853301763534546},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41271042823791504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3344936966896057},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3176037669181824},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia230935","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia230935","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230935","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia230935","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia230935","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230935","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7300000190734863,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389247873.pdf","grobid_xml":"https://content.openalex.org/works/W4389247873.grobid-xml"},"referenced_works_count":4,"referenced_works":["https://openalex.org/W2054141820","https://openalex.org/W2923583643","https://openalex.org/W3170302366","https://openalex.org/W4210386571"],"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/W4376854386"],"abstract_inverted_index":{"The":[0,83,124],"collaborative":[1],"filtering":[2],"technique":[3],"is":[4,109],"widely":[5],"used":[6,94],"in":[7,95],"recommendation":[8,81,106],"systems":[9],"across":[10],"a":[11,39,52,113],"variety":[12],"of":[13,139,150],"fields.":[14],"However,":[15],"it":[16,28],"faces":[17],"problems":[18],"such":[19],"as":[20],"data":[21],"sparsity":[22],"and":[23,66,108],"user":[24,151],"interest":[25,152],"drift,":[26],"making":[27],"difficult":[29],"to":[30,48,56,79,111,120],"generate":[31,80],"high-quality":[32],"recommendations.":[33],"In":[34],"this":[35,96],"paper,":[36],"we":[37],"use":[38],"Fuzzy":[40,90],"C-Means":[41,91],"clustering":[42,92],"algorithm":[43,93],"that":[44,98],"combines":[45,99],"item":[46,100],"attributes":[47,101],"cluster":[49],"items,":[50],"add":[51],"time":[53,126],"weight":[54,127],"factor":[55],"the":[57,62,69,89,105,131,137,148],"similarity":[58,77],"calculation":[59],"based":[60,129],"on":[61,130],"Ebbinghaus":[63,132],"forgetting":[64,133],"function,":[65],"then":[67],"find":[68,112],"nearest":[70,116],"neighbor":[71,117],"set":[72,118],"by":[73],"applying":[74],"an":[75],"improved":[76,125],"formula":[78],"results.":[82],"empirical":[84],"results":[85],"show":[86],"that:":[87],"(1)":[88],"paper":[97],"can":[102,135,145],"effectively":[103,146],"improve":[104,147],"results,":[107],"able":[110],"more":[114],"accurate":[115],"compared":[119],"traditional":[121],"methods;":[122],"(2)":[123],"function":[128,134],"adjust":[136],"weights":[138],"items":[140],"at":[141],"different":[142],"times,":[143],"which":[144],"problem":[149],"drift.":[153]},"counts_by_year":[],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}