{"id":"https://openalex.org/W4409882753","doi":"https://doi.org/10.1109/access.2025.3564895","title":"Feature Reweighting-Based Factorization Machine for Effective Learning Latent Representation","display_name":"Feature Reweighting-Based Factorization Machine for Effective Learning Latent Representation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409882753","doi":"https://doi.org/10.1109/access.2025.3564895"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3564895","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3564895","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.2025.3564895","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022427992","display_name":"Xiebing Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiebing Chen","raw_affiliation_strings":["Department of Automation, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023647082","display_name":"Bilian Chen","orcid":"https://orcid.org/0000-0001-5805-072X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bilian Chen","raw_affiliation_strings":["Department of Automation, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0001-5805-072X","affiliations":[{"raw_affiliation_string":"Department of Automation, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045390672","display_name":"Yue Wang","orcid":"https://orcid.org/0000-0001-7726-5267"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Wang","raw_affiliation_strings":["Department of Automation, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101936719","display_name":"Langcai Cao","orcid":"https://orcid.org/0000-0001-6388-1413"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Langcai Cao","raw_affiliation_strings":["Department of Automation, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0001-6388-1413","affiliations":[{"raw_affiliation_string":"Department of Automation, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10915872,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"75204","last_page":"75219"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14025","display_name":"Educational Technology and Assessment","score":0.9315000176429749,"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/T14025","display_name":"Educational Technology and Assessment","score":0.9315000176429749,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7916966676712036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6514871716499329},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6508165001869202},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.6277738213539124},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5978598594665527},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.5555428266525269},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5136162638664246},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4223603904247284},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1522989571094513}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7916966676712036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6514871716499329},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6508165001869202},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.6277738213539124},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5978598594665527},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.5555428266525269},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5136162638664246},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4223603904247284},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1522989571094513},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3564895","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3564895","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:33e293a95e7b4d6bb3ac2a0d676bd73e","is_oa":true,"landing_page_url":"https://doaj.org/article/33e293a95e7b4d6bb3ac2a0d676bd73e","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 75204-75219 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3564895","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3564895","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/G1408262640","display_name":null,"funder_award_id":"62176225","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5479724366","display_name":null,"funder_award_id":"62171391","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6557263658","display_name":null,"funder_award_id":"12371515","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1994389483","https://openalex.org/W2002834872","https://openalex.org/W2055079831","https://openalex.org/W2063758879","https://openalex.org/W2070786785","https://openalex.org/W2089349245","https://openalex.org/W2099111195","https://openalex.org/W2171279286","https://openalex.org/W2295739661","https://openalex.org/W2475334473","https://openalex.org/W2509235963","https://openalex.org/W2517540742","https://openalex.org/W2518344269","https://openalex.org/W2584966963","https://openalex.org/W2604662567","https://openalex.org/W2743159750","https://openalex.org/W2788490371","https://openalex.org/W2793768763","https://openalex.org/W2892821876","https://openalex.org/W2897346171","https://openalex.org/W2898085636","https://openalex.org/W2954698196","https://openalex.org/W2960737790","https://openalex.org/W2963323306","https://openalex.org/W2964052347","https://openalex.org/W2964984423","https://openalex.org/W2996976629","https://openalex.org/W3000173096","https://openalex.org/W3031475799","https://openalex.org/W3035717151","https://openalex.org/W3081190557","https://openalex.org/W3092547710","https://openalex.org/W3093231418","https://openalex.org/W3093945404","https://openalex.org/W3117684406","https://openalex.org/W3132126111","https://openalex.org/W3155624780","https://openalex.org/W3197681757","https://openalex.org/W3210229256","https://openalex.org/W4210918884","https://openalex.org/W4231054948","https://openalex.org/W4283731685","https://openalex.org/W4296604445","https://openalex.org/W4312122891","https://openalex.org/W4379116557","https://openalex.org/W4382239960","https://openalex.org/W4384625597","https://openalex.org/W4386319090","https://openalex.org/W4387846842","https://openalex.org/W4405427980","https://openalex.org/W6724478308","https://openalex.org/W6738748795","https://openalex.org/W6783897613","https://openalex.org/W6838826853","https://openalex.org/W6849976536"],"related_works":["https://openalex.org/W2794559785","https://openalex.org/W1754499339","https://openalex.org/W2013873776","https://openalex.org/W2950281908","https://openalex.org/W2963117165","https://openalex.org/W2905271011","https://openalex.org/W3164948662","https://openalex.org/W4289536128","https://openalex.org/W3153597579","https://openalex.org/W4298151006"],"abstract_inverted_index":{"Factorization":[0,87],"machines":[1],"(FMs)":[2],"are":[3],"widely":[4],"employed":[5],"as":[6],"supervised":[7],"predictors":[8],"in":[9,46,74,90],"collaborative":[10],"recommendation.":[11],"FMs":[12],"can":[13,53,166],"efficiently":[14],"model":[15,81],"second-order":[16,136],"feature":[17,63,119,149],"interactions":[18,104],"through":[19],"inner":[20],"products,":[21],"which":[22],"proves":[23],"beneficial":[24],"for":[25],"mitigating":[26],"the":[27,39,59,75,101,154,162,185],"negative":[28],"effects":[29],"of":[30,61,103,187],"data":[31],"sparsity.":[32],"However,":[33],"existing":[34],"research":[35],"has":[36],"largely":[37],"overlooked":[38],"potential":[40,155],"correlations":[41,156],"and":[42,57,69,99,135,157],"attributes":[43,158],"among":[44,159],"features":[45,52,106,130,160],"FMs.":[47],"These":[48],"inherent":[49],"relationships":[50],"between":[51,105],"enhance":[54,174],"our":[55,188],"understanding":[56],"facilitate":[58],"modeling":[60],"meaningful":[62],"representations.":[64],"To":[65],"address":[66],"this":[67,91],"gap":[68],"capture":[70],"intrinsic":[71],"correlation":[72],"information":[73],"data,":[76],"we":[77,94],"propose":[78],"a":[79,108,118],"novel":[80],"named":[82],"<italic":[83],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[84],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Feature":[85],"Reweighting-based":[86],"Machine</i>":[88],"(FRFM)":[89],"paper.":[92],"Specifically,":[93],"incorporate":[95],"similarity":[96,109],"into":[97,170],"FM":[98],"quantify":[100],"strength":[102],"using":[107],"calculation":[110],"method":[111],"based":[112,139],"on":[113,140,180],"mutual":[114],"information.We":[115],"then":[116],"introduce":[117],"reweighting":[120],"strategy":[121],"to":[122,147,173,192],"effectively":[123],"learn":[124],"latent":[125],"representations,":[126],"ensuring":[127],"that":[128],"similar":[129],"exhibit":[131],"comparable":[132],"first-order":[133],"weights":[134,146],"embedding":[137],"vectors":[138],"their":[141,175],"similarity.":[142],"By":[143],"assigning":[144],"different":[145,148],"pairs,":[150],"FRFM":[151,165,190],"adeptly":[152],"captures":[153],"within":[161],"model.":[163],"Furthermore,":[164],"be":[167],"seamlessly":[168],"integrated":[169],"other":[171],"models":[172],"performance.":[176],"Extensive":[177],"experiments":[178],"conducted":[179],"six":[181],"real-world":[182],"datasets":[183],"demonstrate":[184],"advantages":[186],"proposed":[189],"compared":[191],"state-of-the-art":[193],"methods.":[194]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}