{"id":"https://openalex.org/W3022407905","doi":"https://doi.org/10.1109/access.2020.2993289","title":"Dynamic Collaborative Filtering Based on User Preference Drift and Topic Evolution","display_name":"Dynamic Collaborative Filtering Based on User Preference Drift and Topic Evolution","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3022407905","doi":"https://doi.org/10.1109/access.2020.2993289","mag":"3022407905"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2993289","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2993289","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09090188.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09090188.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076378909","display_name":"Charinya Wangwatcharakul","orcid":null},"institutions":[{"id":"https://openalex.org/I179193067","display_name":"Khon Kaen University","ror":"https://ror.org/03cq4gr50","country_code":"TH","type":"education","lineage":["https://openalex.org/I179193067"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Charinya Wangwatcharakul","raw_affiliation_strings":["Faculty of Science, Khon Kaen University, Khon Kaen, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Science, Khon Kaen University, Khon Kaen, Thailand","institution_ids":["https://openalex.org/I179193067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000400370","display_name":"Sartra Wongthanavasu","orcid":"https://orcid.org/0000-0002-4689-3006"},"institutions":[{"id":"https://openalex.org/I179193067","display_name":"Khon Kaen University","ror":"https://ror.org/03cq4gr50","country_code":"TH","type":"education","lineage":["https://openalex.org/I179193067"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Sartra Wongthanavasu","raw_affiliation_strings":["Faculty of Science, Khon Kaen University, Khon Kaen, Thailand"],"raw_orcid":"https://orcid.org/0000-0002-4689-3006","affiliations":[{"raw_affiliation_string":"Faculty of Science, Khon Kaen University, Khon Kaen, Thailand","institution_ids":["https://openalex.org/I179193067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076378909"],"corresponding_institution_ids":["https://openalex.org/I179193067"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.5056,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.9143492,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"86433","last_page":"86447"},"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9783999919891357,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9783999919891357,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social 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":0.885185956954956},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8694441914558411},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8645496368408203},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.65951007604599},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6001356840133667},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5655354261398315},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4859243929386139},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.45189642906188965},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44702908396720886},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.42241227626800537},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37258076667785645}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.885185956954956},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8694441914558411},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8645496368408203},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.65951007604599},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6001356840133667},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5655354261398315},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4859243929386139},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.45189642906188965},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44702908396720886},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.42241227626800537},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37258076667785645},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2993289","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2993289","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09090188.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5490c44007a948aeb0fdc19a01ad610d","is_oa":true,"landing_page_url":"https://doaj.org/article/5490c44007a948aeb0fdc19a01ad610d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 86433-86447 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2993289","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2993289","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09090188.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4605047560","display_name":null,"funder_award_id":"RTA6080013","funder_id":"https://openalex.org/F4320322614","funder_display_name":"Thailand Research Fund"}],"funders":[{"id":"https://openalex.org/F4320322335","display_name":"Khon Kaen University","ror":"https://ror.org/03cq4gr50"},{"id":"https://openalex.org/F4320322614","display_name":"Thailand Research Fund","ror":"https://ror.org/03gd1bh37"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3022407905.pdf","grobid_xml":"https://content.openalex.org/works/W3022407905.grobid-xml"},"referenced_works_count":74,"referenced_works":["https://openalex.org/W1500188831","https://openalex.org/W1594112393","https://openalex.org/W1626341607","https://openalex.org/W1880262756","https://openalex.org/W1902027874","https://openalex.org/W1967603002","https://openalex.org/W1968762192","https://openalex.org/W1993541285","https://openalex.org/W1995983090","https://openalex.org/W2025605741","https://openalex.org/W2033714695","https://openalex.org/W2037351199","https://openalex.org/W2050096199","https://openalex.org/W2057991616","https://openalex.org/W2061873838","https://openalex.org/W2066365352","https://openalex.org/W2077242081","https://openalex.org/W2080316042","https://openalex.org/W2080320419","https://openalex.org/W2100235918","https://openalex.org/W2107743791","https://openalex.org/W2116272276","https://openalex.org/W2123605402","https://openalex.org/W2135029798","https://openalex.org/W2135790056","https://openalex.org/W2142014394","https://openalex.org/W2146456494","https://openalex.org/W2166956738","https://openalex.org/W2171960770","https://openalex.org/W2402457424","https://openalex.org/W2493543356","https://openalex.org/W2514530580","https://openalex.org/W2533696134","https://openalex.org/W2552308941","https://openalex.org/W2569842309","https://openalex.org/W2575006718","https://openalex.org/W2589708577","https://openalex.org/W2591191328","https://openalex.org/W2606749808","https://openalex.org/W2749348708","https://openalex.org/W2770465583","https://openalex.org/W2774363535","https://openalex.org/W2782259251","https://openalex.org/W2788893025","https://openalex.org/W2797659139","https://openalex.org/W2798766386","https://openalex.org/W2887178326","https://openalex.org/W2887928931","https://openalex.org/W2893427712","https://openalex.org/W2897660518","https://openalex.org/W2899656399","https://openalex.org/W2904063213","https://openalex.org/W2905811465","https://openalex.org/W2917172312","https://openalex.org/W2918224569","https://openalex.org/W2940612399","https://openalex.org/W2949636655","https://openalex.org/W2962739340","https://openalex.org/W2964121193","https://openalex.org/W2964554480","https://openalex.org/W2964703260","https://openalex.org/W2974062426","https://openalex.org/W2992213369","https://openalex.org/W3001189243","https://openalex.org/W3106302634","https://openalex.org/W4231510805","https://openalex.org/W4233135949","https://openalex.org/W4294611718","https://openalex.org/W4396738453","https://openalex.org/W6636555208","https://openalex.org/W6639619044","https://openalex.org/W6680012447","https://openalex.org/W6748353538","https://openalex.org/W6762255807"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W1484355083","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622","https://openalex.org/W2556532874"],"abstract_inverted_index":{"Recommender":[0],"systems":[1,9,33],"are":[2],"efficient":[3],"tools":[4],"for":[5],"online":[6],"applications;":[7],"these":[8],"exploit":[10],"historical":[11],"user":[12,74,89],"ratings":[13],"on":[14,31,56,111,119],"items":[15,20],"to":[16,21,26,64,71,87,131],"make":[17],"recommendations":[18],"of":[19,103],"users.":[22],"This":[23],"paper":[24],"aims":[25],"enhance":[27],"dynamic":[28,113,139],"collaborative":[29,51],"filtering":[30,52],"recommender":[32],"under":[34],"volatile":[35],"conditions":[36],"in":[37,77],"which":[38],"both":[39],"users'":[40],"preferences":[41],"and":[42,93,122],"item":[43],"properties":[44],"dynamically":[45],"change":[46],"over":[47],"time.":[48],"Moreover,":[49],"existing":[50],"models":[53],"mainly":[54],"rely":[55],"solving":[57],"data":[58],"sparsity":[59],"by":[60,81,106],"adding":[61],"side":[62],"information":[63],"improve":[65],"performance.":[66],"We":[67,115],"propose":[68],"a":[69,83,132],"model":[70,129],"capture":[72],"the":[73,78,99,112,117,123,128,137],"preference":[75],"dynamics":[76],"rating":[79],"matrix":[80],"using":[82,107],"joint":[84],"decomposition":[85],"method":[86],"extract":[88],"latent":[90,95],"transition":[91],"patterns":[92],"combine":[94],"factors":[96],"together":[97],"with":[98,136],"associated":[100],"topic":[101,108],"evolution":[102],"review":[104],"texts":[105],"modeling":[109],"based":[110],"environment.":[114],"evaluate":[116],"accuracy":[118],"real":[120],"datasets,":[121],"experimental":[124],"results":[125],"show":[126],"that":[127],"leads":[130],"significant":[133],"improvement":[134],"compared":[135],"state-of-the-art":[138],"CF":[140],"models.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}