{"id":"https://openalex.org/W3002204588","doi":"https://doi.org/10.1109/access.2020.2968297","title":"Factorization Meets Neural Networks: A Scalable and Efficient Recommender for Solving the New User Problem","display_name":"Factorization Meets Neural Networks: A Scalable and Efficient Recommender for Solving the New User Problem","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3002204588","doi":"https://doi.org/10.1109/access.2020.2968297","mag":"3002204588"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2968297","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2968297","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08964337.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/ielx7/6287639/8948470/08964337.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063959214","display_name":"Dazhi Jiang","orcid":"https://orcid.org/0000-0003-0781-9126"},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dazhi Jiang","raw_affiliation_strings":["Department of Computer Science, Shantou University, Shantou, China","Key Laboratory of Intelligent Manufacturing Technology, Ministry of Education, Shantou University, Shantou, China"],"raw_orcid":"https://orcid.org/0000-0003-0781-9126","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Shantou University, Shantou, China","institution_ids":["https://openalex.org/I32574673"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Manufacturing Technology, Ministry of Education, Shantou University, Shantou, China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101511261","display_name":"Zhichao Liu","orcid":"https://orcid.org/0000-0003-4752-017X"},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhichao Liu","raw_affiliation_strings":["Department of Computer Science, Shantou University, Shantou, China","Key Laboratory of Intelligent Manufacturing Technology, Ministry of Education, Shantou University, Shantou, China"],"raw_orcid":"https://orcid.org/0000-0003-4752-017X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Shantou University, Shantou, China","institution_ids":["https://openalex.org/I32574673"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Manufacturing Technology, Ministry of Education, Shantou University, Shantou, China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055442726","display_name":"Lin Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zheng","raw_affiliation_strings":["Department of Computer Science, Shantou University, Shantou, China","Key Laboratory of Intelligent Manufacturing Technology, Ministry of Education, Shantou University, Shantou, China"],"raw_orcid":"https://orcid.org/0000-0002-1376-075X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Shantou University, Shantou, China","institution_ids":["https://openalex.org/I32574673"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Manufacturing Technology, Ministry of Education, Shantou University, Shantou, China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004827469","display_name":"Jianwei Chen","orcid":"https://orcid.org/0000-0002-3672-5033"},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Chen","raw_affiliation_strings":["Department of Computer Science, Shantou University, Shantou, China","Key Laboratory of Intelligent Manufacturing Technology, Ministry of Education, Shantou University, Shantou, China"],"raw_orcid":"https://orcid.org/0000-0002-3672-5033","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Shantou University, Shantou, China","institution_ids":["https://openalex.org/I32574673"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Manufacturing Technology, Ministry of Education, Shantou University, Shantou, China","institution_ids":["https://openalex.org/I32574673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063959214"],"corresponding_institution_ids":["https://openalex.org/I32574673"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.4545,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.95046912,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"18350","last_page":"18361"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9883999824523926,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9753000140190125,"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/computer-science","display_name":"Computer science","score":0.840386688709259},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7077945470809937},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.601351261138916},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.45744746923446655},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4208364486694336},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3938603103160858},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37337881326675415},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3506280779838562},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31219324469566345},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.15655887126922607},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11453980207443237}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.840386688709259},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7077945470809937},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.601351261138916},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.45744746923446655},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4208364486694336},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3938603103160858},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37337881326675415},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3506280779838562},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31219324469566345},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.15655887126922607},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11453980207443237}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2968297","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2968297","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08964337.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:52d0778b20564ceabaf55859ce578cdc","is_oa":true,"landing_page_url":"https://doaj.org/article/52d0778b20564ceabaf55859ce578cdc","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 18350-18361 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2968297","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2968297","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08964337.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/G4577132563","display_name":null,"funder_award_id":"2018KZDXM035","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G5214083443","display_name":null,"funder_award_id":"2019A1515010943","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G6626564891","display_name":null,"funder_award_id":"NTF18017","funder_id":"https://openalex.org/F4320310972","funder_display_name":"Shantou University"},{"id":"https://openalex.org/G7173709229","display_name":null,"funder_award_id":"61902231","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320310972","display_name":"Shantou University","ror":"https://ror.org/01a099706"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3002204588.pdf","grobid_xml":"https://content.openalex.org/works/W3002204588.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W1720514416","https://openalex.org/W1926826635","https://openalex.org/W1959608418","https://openalex.org/W1987431925","https://openalex.org/W2000764607","https://openalex.org/W2009415795","https://openalex.org/W2018571751","https://openalex.org/W2026844232","https://openalex.org/W2031305127","https://openalex.org/W2038585576","https://openalex.org/W2090641502","https://openalex.org/W2102982709","https://openalex.org/W2140310134","https://openalex.org/W2206441274","https://openalex.org/W2302769450","https://openalex.org/W2336195973","https://openalex.org/W2342935467","https://openalex.org/W2343693914","https://openalex.org/W2471920251","https://openalex.org/W2557919500","https://openalex.org/W2595589185","https://openalex.org/W2603316866","https://openalex.org/W2604334159","https://openalex.org/W2609105278","https://openalex.org/W2618577670","https://openalex.org/W2725606191","https://openalex.org/W2726080841","https://openalex.org/W2730782300","https://openalex.org/W2791983374","https://openalex.org/W2792159272","https://openalex.org/W2899240385","https://openalex.org/W2900899353","https://openalex.org/W2904362786","https://openalex.org/W2910894932","https://openalex.org/W2911084725","https://openalex.org/W2944420298","https://openalex.org/W2946242656","https://openalex.org/W2953267151","https://openalex.org/W2963878746","https://openalex.org/W2972700807","https://openalex.org/W2998525360","https://openalex.org/W3102895136","https://openalex.org/W6640963894","https://openalex.org/W6680067488","https://openalex.org/W6680830989","https://openalex.org/W6697572515","https://openalex.org/W6703662942","https://openalex.org/W6735407677","https://openalex.org/W6735652022","https://openalex.org/W6751011336","https://openalex.org/W6762735105"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4288390103","https://openalex.org/W4317039510","https://openalex.org/W4238861846"],"abstract_inverted_index":{"Predicting":[0],"new":[1,26,90,148],"user":[2,91],"behavior":[3],"has":[4],"always":[5],"been":[6],"a":[7,82,107,125,130,135,179],"challenging":[8],"issue":[9],"in":[10],"intelligent":[11],"recommender":[12,86,152],"systems.":[13],"This":[14],"challenge":[15],"is":[16,72,106,124],"mainly":[17],"due":[18],"to":[19,87,188],"the":[20,64,89,95,154,159,163],"extreme":[21],"asymmetry":[22],"of":[23,119,143],"information":[24,144],"between":[25,50,66,97,145,182],"users":[27],"and":[28,37,84,100,115,134,147,162,184],"old":[29,146],"users.":[30,149],"Existing":[31],"factorization":[32,76,98,126,160],"models":[33,99],"can":[34,61,111,166,177],"efficiently":[35],"process":[36],"map":[38],"asymmetric":[39,141],"information,":[40],"but":[41],"they":[42],"are":[43],"not":[44],"good":[45,180],"at":[46],"mining":[47],"deep":[48],"relationships":[49],"contexts":[51],"when":[52],"compressing":[53],"high-dimensional":[54],"data.":[55],"In":[56],"contrast,":[57],"neural":[58,101,108,164],"network":[59,109,165],"methods":[60],"deeply":[62],"exploit":[63],"relationship":[65],"contexts;":[67],"however,":[68],"their":[69],"training":[70,185],"cost":[71],"much":[73],"larger":[74],"than":[75],"approaches.":[77],"Therefore,":[78],"this":[79],"paper":[80],"proposes":[81],"scalable":[83,104],"efficient":[85,122],"solve":[88],"problem":[92],"by":[93],"filling":[94],"gap":[96],"networks.":[102],"The":[103,121,150,170],"part":[105,123],"that":[110,158,174],"jointly":[112],"encode,":[113],"compress,":[114],"fuse":[116],"various":[117],"types":[118],"contexts.":[120],"model":[127,161],"based":[128],"on":[129],"correlation":[131],"constraint":[132],"mechanism":[133],"projection":[136],"strategy,":[137],"which":[138],"enables":[139],"an":[140],"mapping":[142],"entire":[151],"fuses":[153],"two":[155],"parts":[156],"so":[157],"complement":[167],"each":[168],"other.":[169],"experimental":[171],"results":[172],"show":[173],"our":[175],"approach":[176],"achieve":[178],"balance":[181],"performance":[183],"efficiency":[186],"compared":[187],"state-of-the-art":[189],"methods.":[190]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":11}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
