{"id":"https://openalex.org/W3025242862","doi":"https://doi.org/10.1109/access.2020.2994239","title":"Neural Poisson Factorization","display_name":"Neural Poisson Factorization","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3025242862","doi":"https://doi.org/10.1109/access.2020.2994239","mag":"3025242862"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2994239","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2994239","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09091827.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/ielx7/6287639/8948470/09091827.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022485068","display_name":"Linh Ngo Van","orcid":"https://orcid.org/0000-0002-0011-5137"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Ngo Van Linh","raw_affiliation_strings":["School of Information and Communication Technology, Hanoi University of Science and Technology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101999873","display_name":"\u0110\u1ee9c Anh Nguy\u1ec5n","orcid":"https://orcid.org/0000-0002-9856-2110"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Duc Anh Nguyen","raw_affiliation_strings":["School of Information and Communication Technology, Hanoi University of Science and Technology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044152577","display_name":"Thai Binh Nguyen","orcid":"https://orcid.org/0009-0008-8100-6338"},"institutions":[{"id":"https://openalex.org/I1301041018","display_name":"Rakuten (Japan)","ror":"https://ror.org/0098kke80","country_code":"JP","type":"company","lineage":["https://openalex.org/I1301041018"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Thai Binh Nguyen","raw_affiliation_strings":["Rakuten Crimson House, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Rakuten Crimson House, Tokyo, Japan","institution_ids":["https://openalex.org/I1301041018"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054854013","display_name":"Khoat Than","orcid":"https://orcid.org/0000-0001-8615-2854"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Khoat Than","raw_affiliation_strings":["School of Information and Communication Technology, Hanoi University of Science and Technology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5022485068"],"corresponding_institution_ids":["https://openalex.org/I94518387"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.5338,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73574659,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"8","issue":null,"first_page":"106395","last_page":"106407"},"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/T10028","display_name":"Topic Modeling","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9876999855041504,"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":0.7811107635498047},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.7100971341133118},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6790878772735596},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.6573569178581238},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.6246147155761719},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5354269742965698},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.5061962008476257},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.503684937953949},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5007832050323486},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4892134666442871},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.46612927317619324},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44541269540786743},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.390441358089447},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27749574184417725},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17156794667243958}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7811107635498047},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.7100971341133118},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6790878772735596},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.6573569178581238},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.6246147155761719},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5354269742965698},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.5061962008476257},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.503684937953949},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5007832050323486},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4892134666442871},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.46612927317619324},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44541269540786743},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.390441358089447},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27749574184417725},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17156794667243958},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2994239","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2994239","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09091827.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:3fa5bcc93c4a4f74b268b25d65ef2d66","is_oa":true,"landing_page_url":"https://doaj.org/article/3fa5bcc93c4a4f74b268b25d65ef2d66","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 106395-106407 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2994239","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2994239","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09091827.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":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320318839","display_name":"T\u1eadp \u0111o\u00e0n Vingroup - C\u00f4ng ty CP","ror":null},{"id":"https://openalex.org/F4320328994","display_name":"Qu\u1ef9 \u0110\u1ed5i m\u1edbi s\u00e1ng t\u1ea1o Vingroup","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3025242862.pdf","grobid_xml":"https://content.openalex.org/works/W3025242862.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W159693449","https://openalex.org/W1880262756","https://openalex.org/W1936827159","https://openalex.org/W1966626570","https://openalex.org/W2004192095","https://openalex.org/W2054141820","https://openalex.org/W2082927600","https://openalex.org/W2095705004","https://openalex.org/W2101409192","https://openalex.org/W2125261539","https://openalex.org/W2135505871","https://openalex.org/W2135790056","https://openalex.org/W2157881433","https://openalex.org/W2403286959","https://openalex.org/W2509893387","https://openalex.org/W2515117566","https://openalex.org/W2556738441","https://openalex.org/W2605246672","https://openalex.org/W2654982261","https://openalex.org/W2699188281","https://openalex.org/W2745475103","https://openalex.org/W2766111679","https://openalex.org/W2783289928","https://openalex.org/W2788315269","https://openalex.org/W2789649582","https://openalex.org/W2790504398","https://openalex.org/W2792970765","https://openalex.org/W2808391139","https://openalex.org/W2891623083","https://openalex.org/W2948397587","https://openalex.org/W2962915345","https://openalex.org/W2963111172","https://openalex.org/W4294562888","https://openalex.org/W4297663545","https://openalex.org/W6606478888","https://openalex.org/W6639619044","https://openalex.org/W6640501547","https://openalex.org/W6674330103","https://openalex.org/W6678484073","https://openalex.org/W6684578138","https://openalex.org/W6703695516","https://openalex.org/W6713738107","https://openalex.org/W6726303745","https://openalex.org/W6730175032","https://openalex.org/W6736107892","https://openalex.org/W6745259790","https://openalex.org/W6748613083","https://openalex.org/W6749289806","https://openalex.org/W6754258138","https://openalex.org/W6990139701","https://openalex.org/W7066141858"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W2146544734"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3,88],"focus":[4],"on":[5,95,116],"dealing":[6,78],"with":[7,79],"a":[8,31,52,83,90,108,140,147],"sparse":[9,49,84],"users'":[10],"feedback":[11,85,115],"matrix":[12,159],"and":[13,36,48,56,82,113,162],"short":[14,65,80],"descriptions/contents":[15],"of":[16,33,74,111,143,155],"items":[17,112,144],"in":[18,64,101,125],"recommender":[19],"systems.":[20],"We":[21],"propose":[22],"the":[23,72,117,152],"Neural":[24],"Poisson":[25,37,40],"factorization":[26,41,160],"(NPF)":[27],"model":[28,45],"which":[29,102],"is":[30,42,105,119,130],"hybrid":[32],"deep":[34,53],"learning":[35,97],"factorization.":[38],"While":[39],"suitable":[43],"to":[44,121],"discrete,":[46],"massive":[47],"feedback,":[50],"using":[51],"neural":[54],"network":[55],"pre-trained":[57],"word":[58],"embeddings":[59],"can":[60,135],"learn":[61],"hidden":[62],"semantic":[63],"item":[66,166],"descriptions":[67],"well.":[68],"Therefore,":[69],"NPF":[70,156],"overcomes":[71],"limitation":[73],"existing":[75],"models":[76],"when":[77,145],"texts":[81],"matrix.":[86],"Moreover,":[87],"develop":[89],"random":[91,109],"view":[92,139],"algorithm":[93],"based":[94],"stochastic":[96],"for":[98],"our":[99],"model,":[100],"each":[103,126,133],"user":[104,134],"only":[106,136],"viewed":[107],"subset":[110,118,142],"his/her":[114,123],"used":[120],"update":[122],"representation":[124],"iteration.":[127],"This":[128],"approach":[129],"reasonable":[131],"because":[132],"know":[137],"or":[138],"partial":[141],"surfing":[146],"system.":[148],"Extensive":[149],"experiments":[150],"illustrate":[151],"significant":[153],"advantages":[154],"over":[157],"content-based":[158],"methods":[161],"others":[163],"that":[164],"ignore":[165],"descriptions.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}