{"id":"https://openalex.org/W3035382666","doi":"https://doi.org/10.24963/ijcai.2020/339","title":"Neural Tensor Model for Learning Multi-Aspect Factors in Recommender Systems","display_name":"Neural Tensor Model for Learning Multi-Aspect Factors in Recommender Systems","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3035382666","doi":"https://doi.org/10.24963/ijcai.2020/339","mag":"3035382666"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2020/339","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/339","pdf_url":"https://www.ijcai.org/proceedings/2020/0339.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2020/0339.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004341287","display_name":"Huiyuan Chen","orcid":"https://orcid.org/0000-0002-6360-558X"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huiyuan Chen","raw_affiliation_strings":["Case Western Reserve University","Department of Computer and Data Sciences, Case Western Reserve University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Case Western Reserve University","institution_ids":["https://openalex.org/I58956616"]},{"raw_affiliation_string":"Department of Computer and Data Sciences, Case Western Reserve University","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100337051","display_name":"Jing Li","orcid":"https://orcid.org/0000-0003-1160-6959"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jing Li","raw_affiliation_strings":["Case Western Reserve University","Department of Computer and Data Sciences, Case Western Reserve University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Case Western Reserve University","institution_ids":["https://openalex.org/I58956616"]},{"raw_affiliation_string":"Department of Computer and Data Sciences, Case Western Reserve University","institution_ids":["https://openalex.org/I58956616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100337051"],"corresponding_institution_ids":["https://openalex.org/I58956616"],"apc_list":null,"apc_paid":null,"fwci":5.1044,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.97767857,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2449","last_page":"2455"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9230999946594238,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9032999873161316,"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/multilinear-map","display_name":"Multilinear map","score":0.8132380843162537},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7446194887161255},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7370529770851135},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.7260037064552307},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6177331209182739},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.602295994758606},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6002107858657837},{"id":"https://openalex.org/keywords/tensor-algebra","display_name":"Tensor algebra","score":0.5929388999938965},{"id":"https://openalex.org/keywords/multilinear-algebra","display_name":"Multilinear algebra","score":0.5874016284942627},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.582195520401001},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5051003098487854},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.498490571975708},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45487508177757263},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4186426103115082},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32721802592277527},{"id":"https://openalex.org/keywords/algebra-over-a-field","display_name":"Algebra over a field","score":0.17958688735961914},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13247960805892944}],"concepts":[{"id":"https://openalex.org/C84392682","wikidata":"https://www.wikidata.org/wiki/Q1952404","display_name":"Multilinear map","level":2,"score":0.8132380843162537},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7446194887161255},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7370529770851135},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.7260037064552307},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6177331209182739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.602295994758606},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6002107858657837},{"id":"https://openalex.org/C1680195","wikidata":"https://www.wikidata.org/wiki/Q2296021","display_name":"Tensor algebra","level":5,"score":0.5929388999938965},{"id":"https://openalex.org/C60321788","wikidata":"https://www.wikidata.org/wiki/Q1197190","display_name":"Multilinear algebra","level":5,"score":0.5874016284942627},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.582195520401001},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5051003098487854},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.498490571975708},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45487508177757263},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4186426103115082},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32721802592277527},{"id":"https://openalex.org/C136119220","wikidata":"https://www.wikidata.org/wiki/Q1000660","display_name":"Algebra over a field","level":2,"score":0.17958688735961914},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13247960805892944},{"id":"https://openalex.org/C169171071","wikidata":"https://www.wikidata.org/wiki/Q5449241","display_name":"Filtered algebra","level":3,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C100376341","wikidata":"https://www.wikidata.org/wiki/Q649977","display_name":"Jordan algebra","level":4,"score":0.0},{"id":"https://openalex.org/C138354692","wikidata":"https://www.wikidata.org/wiki/Q1231309","display_name":"Division algebra","level":4,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C81999800","wikidata":"https://www.wikidata.org/wiki/Q1454725","display_name":"Current algebra","level":3,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2020/339","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/339","pdf_url":"https://www.ijcai.org/proceedings/2020/0339.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2020/339","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/339","pdf_url":"https://www.ijcai.org/proceedings/2020/0339.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3035382666.pdf","grobid_xml":"https://content.openalex.org/works/W3035382666.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W564538011","https://openalex.org/W1522301498","https://openalex.org/W1632866817","https://openalex.org/W1798945469","https://openalex.org/W1832693441","https://openalex.org/W1852909287","https://openalex.org/W2024165284","https://openalex.org/W2095705004","https://openalex.org/W2127426251","https://openalex.org/W2144685566","https://openalex.org/W2155893237","https://openalex.org/W2475334473","https://openalex.org/W2510184840","https://openalex.org/W2515144511","https://openalex.org/W2575006718","https://openalex.org/W2605350416","https://openalex.org/W2606749808","https://openalex.org/W2619206542","https://openalex.org/W2767724106","https://openalex.org/W2771079411","https://openalex.org/W2809291355","https://openalex.org/W2907272802","https://openalex.org/W2914231700","https://openalex.org/W2949182780","https://openalex.org/W2950094539","https://openalex.org/W2962698165","https://openalex.org/W2962712142","https://openalex.org/W2962845550","https://openalex.org/W2963048316","https://openalex.org/W2963655167","https://openalex.org/W2963923362","https://openalex.org/W2964121744","https://openalex.org/W2965446129","https://openalex.org/W2972965281","https://openalex.org/W3098867666","https://openalex.org/W3101023724","https://openalex.org/W3101830194","https://openalex.org/W3104406051","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W2071105597","https://openalex.org/W2242909499","https://openalex.org/W2405717268","https://openalex.org/W2946637708","https://openalex.org/W2100779717","https://openalex.org/W3189506985","https://openalex.org/W2901391673","https://openalex.org/W4376274937","https://openalex.org/W4235893778","https://openalex.org/W2113055885"],"abstract_inverted_index":{"Recommender":[0],"systems":[1],"often":[2],"involve":[3],"multi-aspect":[4,29,82],"factors.":[5,83],"For":[6],"example,":[7],"when":[8],"shopping":[9],"for":[10],"shoes":[11],"online,":[12],"consumers":[13],"usually":[14],"look":[15],"through":[16],"their":[17,25],"images,":[18],"ratings,":[19],"and":[20,74],"product's":[21],"reviews":[22],"before":[23],"making":[24],"decisions.":[26],"To":[27,58],"learn":[28],"factors,":[30],"many":[31],"context-aware":[32],"models":[33,43],"have":[34],"been":[35],"developed":[36],"based":[37],"on":[38],"tensor":[39,49,67,75],"factorizations.":[40],"However,":[41],"existing":[42],"assume":[44],"multilinear":[45],"structures":[46],"in":[47],"the":[48,91,99,102],"data,":[50],"thus":[51],"failing":[52],"to":[53,77,89],"capture":[54,78],"nonlinear":[55,66,79],"feature":[56],"interactions.":[57],"fill":[59],"this":[60],"gap,":[61],"we":[62],"propose":[63],"a":[64],"novel":[65],"machine,":[68],"which":[69],"combines":[70],"deep":[71],"neural":[72],"networks":[73],"algebra":[76],"interactions":[80],"among":[81],"We":[84],"further":[85],"consider":[86],"adversarial":[87],"learning":[88],"assist":[90],"training":[92],"of":[93,101],"our":[94],"model.":[95,104],"Extensive":[96],"experiments":[97],"demonstrate":[98],"effectiveness":[100],"proposed":[103]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":6}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
