{"id":"https://openalex.org/W3107156647","doi":"https://doi.org/10.1109/cisp-bmei51763.2020.9263594","title":"Matrix Factorization Based on BatchNorm and Preference Bias","display_name":"Matrix Factorization Based on BatchNorm and Preference Bias","publication_year":2020,"publication_date":"2020-10-17","ids":{"openalex":"https://openalex.org/W3107156647","doi":"https://doi.org/10.1109/cisp-bmei51763.2020.9263594","mag":"3107156647"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei51763.2020.9263594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei51763.2020.9263594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-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/A5100382467","display_name":"Bing Wang","orcid":"https://orcid.org/0000-0001-7976-8642"},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bing Wang","raw_affiliation_strings":["Yantai University,School of Computer and Control Engineering,Yantai City,China,264005"],"affiliations":[{"raw_affiliation_string":"Yantai University,School of Computer and Control Engineering,Yantai City,China,264005","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050426856","display_name":"Wenming Ma","orcid":"https://orcid.org/0000-0002-6659-5727"},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenming Ma","raw_affiliation_strings":["Yantai University,School of Computer and Control Engineering,Yantai City,China,264005"],"affiliations":[{"raw_affiliation_string":"Yantai University,School of Computer and Control Engineering,Yantai City,China,264005","institution_ids":["https://openalex.org/I18452120"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100382467"],"corresponding_institution_ids":["https://openalex.org/I18452120"],"apc_list":null,"apc_paid":null,"fwci":0.2781,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68074441,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"942","last_page":"946"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9462000131607056,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/matrix-decomposition","display_name":"Matrix decomposition","score":0.7688138484954834},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7322993278503418},{"id":"https://openalex.org/keywords/information-overload","display_name":"Information overload","score":0.6588441729545593},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.64960116147995},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.6287932395935059},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.582665205001831},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.567603349685669},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.5114147067070007},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.49933505058288574},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.48975682258605957},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4317702054977417},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41541314125061035},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3331668972969055},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.272203266620636},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16434746980667114},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07661303877830505}],"concepts":[{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.7688138484954834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7322993278503418},{"id":"https://openalex.org/C186625053","wikidata":"https://www.wikidata.org/wiki/Q1130191","display_name":"Information overload","level":2,"score":0.6588441729545593},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.64960116147995},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.6287932395935059},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.582665205001831},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.567603349685669},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.5114147067070007},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.49933505058288574},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.48975682258605957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4317702054977417},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41541314125061035},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3331668972969055},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.272203266620636},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16434746980667114},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07661303877830505},{"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/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei51763.2020.9263594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei51763.2020.9263594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1999627569","https://openalex.org/W2009837099","https://openalex.org/W2020488968","https://openalex.org/W2054141820","https://openalex.org/W2137245235","https://openalex.org/W2144487656","https://openalex.org/W2184497579","https://openalex.org/W6686515677"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W1973739845","https://openalex.org/W119752240","https://openalex.org/W2898722594","https://openalex.org/W2113856999","https://openalex.org/W2125326641","https://openalex.org/W133838137"],"abstract_inverted_index":{"With":[0],"the":[1,16,30,36,41,56,75,79,104,110,116,120,125,175],"rapid":[2],"development":[3],"of":[4,10,58,106,138],"science":[5],"and":[6,15,100,123,148,160,165],"technology,":[7],"huge":[8],"amounts":[9],"information":[11,18,59],"fill":[12],"people's":[13],"lives,":[14],"accompanying":[17],"overload":[19],"phenomenon":[20],"has":[21,50,92,131,180],"become":[22],"an":[23],"urgent":[24],"problem":[25,57],"to":[26,45,54,86],"be":[27],"solved.":[28],"Because":[29],"recommendation":[31,69,76,183],"system":[32],"can":[33,72,114],"quickly":[34],"find":[35],"products":[37],"users":[38],"want":[39],"in":[40,68,177],"massive":[42],"item":[43,161],"information,":[44],"a":[46,64,135,181],"certain":[47],"extent":[48],"It":[49,71],"attracted":[51],"much":[52],"attention":[53],"solve":[55],"overload.":[60],"Matrix":[61,143],"factorization":[62,91],"is":[63,82,151,154,168],"commonly":[65],"used":[66,169],"technique":[67],"systems.":[70],"effectively":[73],"improve":[74],"effect":[77,184],"when":[78],"scoring":[80],"matrix":[81,90,157],"sparse.":[83],"However,":[84],"due":[85],"its":[87],"own":[88],"reasons,":[89],"many":[93],"problems":[94],"such":[95],"as":[96],"sparseness,":[97],"cold":[98],"start,":[99],"low":[101],"interpretability.":[102],"In":[103,140],"field":[105],"deep":[107],"learning,":[108],"because":[109],"normalization":[111],"technology":[112],"BatchNorm":[113,147,153],"optimize":[115],"training":[117,121,126],"process,":[118],"accelerate":[119],"speed":[122],"make":[124],"results":[127],"more":[128],"stable,":[129],"it":[130],"been":[132],"studied":[133],"by":[134],"large":[136],"number":[137],"scholars.":[139],"this":[141,178],"paper,":[142],"Factorization":[144],"Based":[145],"on":[146,185],"Preference":[149],"Bias":[150],"proposed.":[152],"combined":[155],"with":[156],"factorization,":[158],"user":[159],"preferences":[162],"are":[163],"added,":[164],"Adam":[166],"algorithm":[167,176],"for":[170],"optimization.":[171],"Experiments":[172],"show":[173],"that":[174],"paper":[179],"good":[182],"sparse":[186],"matrix.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
