{"id":"https://openalex.org/W4206056232","doi":"https://doi.org/10.23919/eusipco54536.2021.9615972","title":"Neural Factorization Applied to Interaction Matrix for Recommendation","display_name":"Neural Factorization Applied to Interaction Matrix for Recommendation","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W4206056232","doi":"https://doi.org/10.23919/eusipco54536.2021.9615972"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco54536.2021.9615972","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9615972","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th European Signal Processing Conference (EUSIPCO)","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/A5005706607","display_name":"Ioannis Sarridis","orcid":null},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Ioannis Sarridis","raw_affiliation_strings":["Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065184406","display_name":"Constantine Kotropoulos","orcid":"https://orcid.org/0000-0001-9939-7930"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Constantine Kotropoulos","raw_affiliation_strings":["Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005706607"],"corresponding_institution_ids":["https://openalex.org/I21370196"],"apc_list":null,"apc_paid":null,"fwci":0.8509,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73147275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1336","last_page":"1340"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.995199978351593,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9807000160217285,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/movielens","display_name":"MovieLens","score":0.9476266503334045},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.8170526027679443},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6935120820999146},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5950419902801514},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5297917723655701},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5191497206687927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4940076470375061},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.4753299057483673},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.42973247170448303},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.41620147228240967},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3799486756324768},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3382890820503235},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.29545557498931885},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24880468845367432},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20931273698806763}],"concepts":[{"id":"https://openalex.org/C2776156558","wikidata":"https://www.wikidata.org/wiki/Q4353746","display_name":"MovieLens","level":4,"score":0.9476266503334045},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.8170526027679443},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6935120820999146},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5950419902801514},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5297917723655701},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5191497206687927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4940076470375061},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.4753299057483673},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.42973247170448303},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.41620147228240967},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3799486756324768},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3382890820503235},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.29545557498931885},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24880468845367432},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20931273698806763},{"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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":1,"locations":[{"id":"doi:10.23919/eusipco54536.2021.9615972","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9615972","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1530218127","https://openalex.org/W1720514416","https://openalex.org/W1994389483","https://openalex.org/W2054141820","https://openalex.org/W2099866409","https://openalex.org/W2108753466","https://openalex.org/W2120387782","https://openalex.org/W2135181320","https://openalex.org/W2135505871","https://openalex.org/W2137245235","https://openalex.org/W2151464835","https://openalex.org/W2157881433","https://openalex.org/W2169661502","https://openalex.org/W2177562712","https://openalex.org/W2186878252","https://openalex.org/W2219888463","https://openalex.org/W2409498980","https://openalex.org/W2605350416","https://openalex.org/W2610153490","https://openalex.org/W2611328865","https://openalex.org/W2624407581","https://openalex.org/W2906995678","https://openalex.org/W2921802799","https://openalex.org/W2964015378","https://openalex.org/W4322614756","https://openalex.org/W6631190155","https://openalex.org/W6631990664","https://openalex.org/W6676253046","https://openalex.org/W6678101856","https://openalex.org/W6680451568","https://openalex.org/W6680498451","https://openalex.org/W6684754188","https://openalex.org/W6686017151","https://openalex.org/W6686968995","https://openalex.org/W6714585510","https://openalex.org/W6726873649","https://openalex.org/W6730084236","https://openalex.org/W6737558694"],"related_works":["https://openalex.org/W2524663498","https://openalex.org/W2113380565","https://openalex.org/W2781850661","https://openalex.org/W3004286290","https://openalex.org/W4233347881","https://openalex.org/W2169020911","https://openalex.org/W2297964623","https://openalex.org/W2907069037","https://openalex.org/W2549064611","https://openalex.org/W1518338130"],"abstract_inverted_index":{"Matrix":[0],"factorization":[1,28,98],"methods":[2,110],"have":[3],"successfully":[4],"been":[5],"used":[6],"for":[7],"rating":[8,84,113],"prediction.":[9,114],"The":[10,61,77],"interactions":[11],"between":[12,70],"users":[13],"and":[14,58,74,102],"items":[15],"are":[16,64],"recorded":[17],"in":[18,53,82,111],"the":[19,36,41,50,67,71,95,108],"interaction":[20,37,43],"matrix.":[21,38],"In":[22],"this":[23],"paper,":[24],"a":[25],"neural":[26,51,97],"matrix":[27,44],"method":[29,79],"is":[30,33,45,80,92,103],"proposed":[31,78,96],"that":[32,94],"applied":[34],"to":[35,49,55],"More":[39],"specifically,":[40],"normalized":[42],"given":[46],"as":[47],"input":[48],"network":[52],"order":[54],"extract":[56],"user":[57,73],"item":[59,75],"embeddings.":[60,76],"estimated":[62],"ratings":[63],"obtained":[65],"by":[66,86],"inner":[68],"product":[69],"extracted":[72],"assessed":[81],"movie":[83,112],"prediction":[85],"employing":[87],"three":[88],"MovieLens":[89],"datasets.":[90],"It":[91],"demonstrated":[93],"attains":[99],"competitive":[100],"performance":[101],"less":[104],"computationally":[105],"demanding":[106],"against":[107],"state-of-the-art":[109]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}