{"id":"https://openalex.org/W4408540629","doi":"https://doi.org/10.1109/access.2025.3552102","title":"Joint Modeling of Prediction and Behavioral Patterns for Reliable Recommendation With Implicit Feedback","display_name":"Joint Modeling of Prediction and Behavioral Patterns for Reliable Recommendation With Implicit Feedback","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408540629","doi":"https://doi.org/10.1109/access.2025.3552102"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3552102","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3552102","pdf_url":null,"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":null,"license_id":null,"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://doi.org/10.1109/access.2025.3552102","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113586106","display_name":"Takuto Sugiyama","orcid":null},"institutions":[{"id":"https://openalex.org/I56624758","display_name":"Kansai University","ror":"https://ror.org/03xg1f311","country_code":"JP","type":"education","lineage":["https://openalex.org/I56624758"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuto Sugiyama","raw_affiliation_strings":["Graduate School of Science and Engineering, Kansai University, Suita-shi, Osaka, Japan","Graduate School of Science and Engineering, Kansai University, 3-3-35 Yamate-cho, Suita-shi, Osaka, Japan"],"raw_orcid":"https://orcid.org/0009-0009-0389-5579","affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Kansai University, Suita-shi, Osaka, Japan","institution_ids":["https://openalex.org/I56624758"]},{"raw_affiliation_string":"Graduate School of Science and Engineering, Kansai University, 3-3-35 Yamate-cho, Suita-shi, Osaka, Japan","institution_ids":["https://openalex.org/I56624758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061967814","display_name":"Soh Yoshida","orcid":"https://orcid.org/0000-0003-0237-7461"},"institutions":[{"id":"https://openalex.org/I56624758","display_name":"Kansai University","ror":"https://ror.org/03xg1f311","country_code":"JP","type":"education","lineage":["https://openalex.org/I56624758"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Soh Yoshida","raw_affiliation_strings":["Faculty of Engineering Science, Kansai University, Suita-shi, Osaka, Japan","Faculty of Engineering Science, Kansai University, 3-3-35 Yamate-cho, Suita-shi, Osaka, Japan"],"raw_orcid":"https://orcid.org/0000-0003-0237-7461","affiliations":[{"raw_affiliation_string":"Faculty of Engineering Science, Kansai University, Suita-shi, Osaka, Japan","institution_ids":["https://openalex.org/I56624758"]},{"raw_affiliation_string":"Faculty of Engineering Science, Kansai University, 3-3-35 Yamate-cho, Suita-shi, Osaka, Japan","institution_ids":["https://openalex.org/I56624758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089184180","display_name":"Mitsuji Muneyasu","orcid":"https://orcid.org/0000-0002-4492-5991"},"institutions":[{"id":"https://openalex.org/I56624758","display_name":"Kansai University","ror":"https://ror.org/03xg1f311","country_code":"JP","type":"education","lineage":["https://openalex.org/I56624758"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mitsuji Muneyasu","raw_affiliation_strings":["Faculty of Engineering Science, Kansai University, Suita-shi, Osaka, Japan","Faculty of Engineering Science, Kansai University, 3-3-35 Yamate-cho, Suita-shi, Osaka, Japan"],"raw_orcid":"https://orcid.org/0000-0002-4492-5991","affiliations":[{"raw_affiliation_string":"Faculty of Engineering Science, Kansai University, Suita-shi, Osaka, Japan","institution_ids":["https://openalex.org/I56624758"]},{"raw_affiliation_string":"Faculty of Engineering Science, Kansai University, 3-3-35 Yamate-cho, Suita-shi, Osaka, Japan","institution_ids":["https://openalex.org/I56624758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.5421,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.8090821,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"13","issue":null,"first_page":"49788","last_page":"49800"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.7099000215530396,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.7099000215530396,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/computer-science","display_name":"Computer science","score":0.7417941689491272},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.7109783887863159},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4040157198905945},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36896950006484985},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34360456466674805},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07791474461555481}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7417941689491272},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.7109783887863159},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4040157198905945},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36896950006484985},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34360456466674805},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07791474461555481},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3552102","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3552102","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5073554ac16346c1b32885a47b0b6342","is_oa":true,"landing_page_url":"https://doaj.org/article/5073554ac16346c1b32885a47b0b6342","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 13, Pp 49788-49800 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3552102","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3552102","pdf_url":null,"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":null,"license_id":null,"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/G2352037752","display_name":null,"funder_award_id":"22K18007","funder_id":"https://openalex.org/F4320320212","funder_display_name":"Japan Society for the Promotion of Science London"},{"id":"https://openalex.org/G8237952253","display_name":null,"funder_award_id":"22K18007","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320320212","display_name":"Japan Society for the Promotion of Science London","ror":"https://ror.org/02m7axw05"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1886704267","https://openalex.org/W2041022395","https://openalex.org/W2101409192","https://openalex.org/W2124187902","https://openalex.org/W2159094788","https://openalex.org/W2166237624","https://openalex.org/W2219888463","https://openalex.org/W2340502990","https://openalex.org/W2512971201","https://openalex.org/W2565948352","https://openalex.org/W2605350416","https://openalex.org/W2787933113","https://openalex.org/W2799023274","https://openalex.org/W2963697299","https://openalex.org/W2964292098","https://openalex.org/W2972657244","https://openalex.org/W3033630125","https://openalex.org/W3035725536","https://openalex.org/W3045200674","https://openalex.org/W3094605801","https://openalex.org/W3110687497","https://openalex.org/W3135179859","https://openalex.org/W3152876231","https://openalex.org/W3210628790","https://openalex.org/W4284688665","https://openalex.org/W4287947470","https://openalex.org/W4306407769","https://openalex.org/W4384644330","https://openalex.org/W4385562552","https://openalex.org/W4385965604","https://openalex.org/W4400527101","https://openalex.org/W6631190155","https://openalex.org/W6680830989","https://openalex.org/W6740005241","https://openalex.org/W6751420435","https://openalex.org/W6758632346","https://openalex.org/W6762903502","https://openalex.org/W6763485134","https://openalex.org/W6771630921","https://openalex.org/W6779482673","https://openalex.org/W6861795009"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Implicit":[0],"feedback":[1],"in":[2],"recommender":[3,68],"systems":[4],"contains":[5],"noisy":[6],"interactions":[7,23,115],"that":[8,41,54,98,113,138],"do":[9],"not":[10],"reflect":[11],"true":[12],"user":[13,74],"preferences,":[14],"which":[15],"diminishes":[16],"recommendation":[17,135,142],"accuracy.":[18],"Current":[19],"methods":[20],"identify":[21],"unreliable":[22],"using":[24],"single":[25],"indicators":[26],"such":[27],"as":[28],"loss":[29],"values":[30],"or":[31],"model":[32,69,87],"disagreement,":[33],"but":[34],"fail":[35],"to":[36,88,116,120,146],"capture":[37],"the":[38,63,67,71,169],"complex":[39],"patterns":[40,97],"separate":[42],"genuine":[43],"preferences":[44],"from":[45],"noise.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50,107],"present":[51],"a":[52,82],"method":[53,140],"estimates":[55],"interaction":[56,77],"reliability":[57,90,173],"by":[58,91,144],"analyzing":[59],"two":[60],"key":[61],"signals:":[62],"prediction":[64,93],"confidence":[65],"of":[66,73,103,171],"and":[70,131,152,164],"consistency":[72],"behavior":[75],"across":[76,133,161],"sequences.":[78],"Our":[79,176],"approach":[80],"uses":[81],"two-component":[83],"two-dimensional":[84],"Gaussian":[85],"mixture":[86],"estimate":[89],"combining":[92],"scores":[94],"with":[95,149],"co-occurrence":[96],"measure":[99],"behavioral":[100],"consistency.":[101],"Instead":[102],"making":[104],"binary":[105],"decisions,":[106],"implement":[108],"an":[109],"adaptive":[110],"weighting":[111],"mechanism":[112],"allows":[114],"influence":[117],"training":[118,151],"according":[119],"their":[121],"estimated":[122],"reliability.":[123],"Evaluation":[124],"on":[125],"three":[126,134],"public":[127],"datasets":[128],"(Yelp,":[129],"Amazon-book,":[130],"ML-1M)":[132],"architectures":[136],"demonstrated":[137],"our":[139,172],"improved":[141],"accuracy":[143],"up":[145],"38%":[147],"compared":[148],"standard":[150],"33%":[153],"over":[154],"existing":[155],"denoising":[156],"approaches.":[157],"These":[158],"improvements":[159],"persisted":[160],"various":[162],"models":[163],"evaluation":[165],"metrics,":[166],"thereby":[167],"demonstrating":[168],"effectiveness":[170],"estimation":[174],"approach.":[175],"implementation":[177],"is":[178],"available":[179],"at":[180],"<uri":[181],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[182],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/meruemon/JMPBP</uri>.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}