{"id":"https://openalex.org/W2802117309","doi":"https://doi.org/10.1109/access.2018.2828401","title":"Collaborative Filtering Recommendation Based on All-Weighted Matrix Factorization and Fast Optimization","display_name":"Collaborative Filtering Recommendation Based on All-Weighted Matrix Factorization and Fast Optimization","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2802117309","doi":"https://doi.org/10.1109/access.2018.2828401","mag":"2802117309"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2828401","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2828401","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.2018.2828401","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004055587","display_name":"Hongmei Li","orcid":"https://orcid.org/0000-0002-0699-9455"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongmei Li","raw_affiliation_strings":["Command and Control Engineering College, Army Engineering University of PLA, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-0699-9455","affiliations":[{"raw_affiliation_string":"Command and Control Engineering College, Army Engineering University of PLA, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109280499","display_name":"Xingchun Diao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingchun Diao","raw_affiliation_strings":["Command and Control Engineering College, Army Engineering University of PLA, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Command and Control Engineering College, Army Engineering University of PLA, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103035568","display_name":"Jianjun Cao","orcid":"https://orcid.org/0000-0002-4281-8324"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianjun Cao","raw_affiliation_strings":["Nanjing Telecommunication Technology Institute, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing Telecommunication Technology Institute, Nanjing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014759537","display_name":"Qibin Zheng","orcid":"https://orcid.org/0000-0002-3989-377X"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qibin Zheng","raw_affiliation_strings":["Command and Control Engineering College, Army Engineering University of PLA, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Command and Control Engineering College, Army Engineering University of PLA, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]}],"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":8.2262,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.97608754,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"6","issue":null,"first_page":"25248","last_page":"25260"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9775999784469604,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.953499972820282,"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/weighting","display_name":"Weighting","score":0.8874638080596924},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.800661563873291},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7609007358551025},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6277909874916077},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5789071321487427},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5457077622413635},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.5407485961914062},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4568207859992981},{"id":"https://openalex.org/keywords/a-weighting","display_name":"A-weighting","score":0.45366910099983215},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4383928179740906},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4153536260128021},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3907809555530548},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3386375904083252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3275884985923767},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1669008433818817}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.8874638080596924},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.800661563873291},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7609007358551025},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6277909874916077},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5789071321487427},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5457077622413635},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.5407485961914062},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4568207859992981},{"id":"https://openalex.org/C70136482","wikidata":"https://www.wikidata.org/wiki/Q13583781","display_name":"A-weighting","level":3,"score":0.45366910099983215},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4383928179740906},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4153536260128021},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3907809555530548},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3386375904083252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3275884985923767},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1669008433818817},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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.2018.2828401","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2828401","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:1088b2cee0e44d7ea65a41d22689d40b","is_oa":true,"landing_page_url":"https://doaj.org/article/1088b2cee0e44d7ea65a41d22689d40b","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 6, Pp 25248-25260 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2828401","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2828401","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":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.550000011920929}],"awards":[{"id":"https://openalex.org/G4625568477","display_name":null,"funder_award_id":"61371196","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":38,"referenced_works":["https://openalex.org/W18531802","https://openalex.org/W1976999215","https://openalex.org/W1984189333","https://openalex.org/W1987431925","https://openalex.org/W1991055526","https://openalex.org/W1992665562","https://openalex.org/W1999956270","https://openalex.org/W1999973986","https://openalex.org/W2002834872","https://openalex.org/W2006822005","https://openalex.org/W2009837099","https://openalex.org/W2017921654","https://openalex.org/W2027829212","https://openalex.org/W2054141820","https://openalex.org/W2063468305","https://openalex.org/W2064754513","https://openalex.org/W2074290495","https://openalex.org/W2077927809","https://openalex.org/W2101409192","https://openalex.org/W2124187902","https://openalex.org/W2128813803","https://openalex.org/W2137245235","https://openalex.org/W2140310134","https://openalex.org/W2340502990","https://openalex.org/W2394103513","https://openalex.org/W2403029370","https://openalex.org/W2463645429","https://openalex.org/W2467216808","https://openalex.org/W2508174604","https://openalex.org/W2565948352","https://openalex.org/W2572480023","https://openalex.org/W2587621318","https://openalex.org/W6678816893","https://openalex.org/W6680830989","https://openalex.org/W6719292619","https://openalex.org/W6725378018","https://openalex.org/W6731917061","https://openalex.org/W7070499600"],"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/W4376854386","https://openalex.org/W2202724490"],"abstract_inverted_index":{"Collaborative":[0],"filtering":[1],"recommendation":[2],"with":[3],"implicit":[4,26,85],"feedbacks":[5],"(e.g.,":[6],"clicks,":[7],"views,":[8],"and":[9,23,40,51,105,129,135,148,164,187],"plays)":[10],"is":[11],"regarded":[12],"as":[13],"one":[14],"of":[15,35,48,57,101,161],"the":[16,41,46,58,78,99,102,158,195,208],"most":[17,56],"challenging":[18],"issues":[19],"in":[20,84,92,169],"both":[21,162],"academia":[22],"industry.":[24],"From":[25],"feedbacks,":[27],"we":[28,123,181],"can":[29],"only":[30],"get":[31],"a":[32,68,141,149,170,183,189],"small":[33],"fraction":[34],"observed":[36,74,146,163],"data":[37,44,64,75,104,147,155,166],"(positive":[38],"examples),":[39],"massive":[42],"unobserved":[43,63,154,165],"are":[45,167],"mixture":[47],"negative":[49],"examples":[50],"unlabeled":[52],"positive":[53],"examples.":[54],"However,":[55],"existing":[59],"efforts":[60],"either":[61],"treat":[62],"equally":[65],"by":[66],"assigning":[67],"uniform":[69],"weight":[70,73],"or":[71],"uniformly":[72],"while":[76],"ignoring":[77],"hidden":[79],"information":[80],"(i.e.,":[81],"visit":[82],"frequency)":[83],"feedbacks.":[86],"This":[87],"assumption":[88],"may":[89],"not":[90],"hold":[91],"real-life":[93],"scenarios":[94],"since":[95],"they":[96],"cannot":[97],"distinguish":[98],"contributions":[100],"whole":[103],"it":[106],"easily":[107],"leads":[108],"to":[109,173,193],"prediction":[110],"bias.":[111],"Besides,":[112],"those":[113],"approaches":[114],"still":[115],"suffer":[116],"from":[117],"low-efficiency":[118],"issue.":[119],"To":[120],"this":[121],"end,":[122],"propose":[124],"an":[125,175],"all-weighted":[126,176],"matrix":[127,177],"factorization":[128,178],"fast":[130,190],"optimization":[131,191],"strategy":[132,192],"for":[133,145,153],"effective":[134],"efficient":[136],"recommendation.":[137],"We":[138],"first":[139],"design":[140],"frequency-aware":[142],"weighting":[143,151,159],"scheme":[144,152],"useroriented":[150],"nonuniformly.":[156],"Then,":[157],"schemes":[160],"combined":[168],"unified":[171],"way":[172],"form":[174],"model.":[179],"Afterwards,":[180],"present":[182],"surrogate":[184],"objective":[185],"function":[186],"develop":[188],"enhance":[194],"efficiency.":[196],"Extensive":[197],"experimental":[198],"results":[199],"on":[200,211],"real-world":[201],"datasets":[202],"demonstrate":[203],"that":[204],"our":[205],"method":[206],"outperforms":[207],"competitive":[209],"baselines":[210],"several":[212],"evaluation":[213],"metrics.":[214]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}