{"id":"https://openalex.org/W2741737658","doi":"https://doi.org/10.24963/ijcai.2017/264","title":"Incremental Matrix Factorization: A Linear Feature Transformation Perspective","display_name":"Incremental Matrix Factorization: A Linear Feature Transformation Perspective","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2741737658","doi":"https://doi.org/10.24963/ijcai.2017/264","mag":"2741737658"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2017/264","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/264","pdf_url":"https://www.ijcai.org/proceedings/2017/0264.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth 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/2017/0264.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083207127","display_name":"Xunpeng Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xunpeng Huang","raw_affiliation_strings":["Anhui Province Key Lab. of Big Data Analysis and Application, University of S&T of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Province Key Lab. of Big Data Analysis and Application, University of S&T of China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033706423","display_name":"Le Wu","orcid":"https://orcid.org/0000-0003-4556-0581"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]},{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Wu","raw_affiliation_strings":["School of Computer and Information, HeFei University of Technology","School of Computer and Information, HeFei University of Technology Baidu Talent Intelligence Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information, HeFei University of Technology","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"School of Computer and Information, HeFei University of Technology Baidu Talent Intelligence Center","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048237545","display_name":"Enhong Chen","orcid":"https://orcid.org/0000-0002-4835-4102"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enhong Chen","raw_affiliation_strings":["Anhui Province Key Lab. of Big Data Analysis and Application, University of S&T of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Province Key Lab. of Big Data Analysis and Application, University of S&T of China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049015446","display_name":"Hengshu Zhu","orcid":"https://orcid.org/0000-0003-4570-643X"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]},{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengshu Zhu","raw_affiliation_strings":["Baidu Talent Intelligence Center","Anhui Province Key Lab. of Big Data Analysis and Application, University of S&T of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu Talent Intelligence Center","institution_ids":["https://openalex.org/I98301712"]},{"raw_affiliation_string":"Anhui Province Key Lab. of Big Data Analysis and Application, University of S&T of China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453144","display_name":"Qi Liu","orcid":"https://orcid.org/0000-0001-5378-6404"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Liu","raw_affiliation_strings":["Anhui Province Key Lab. of Big Data Analysis and Application, University of S&T of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Province Key Lab. of Big Data Analysis and Application, University of S&T of China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100713692","display_name":"Yijun Wang","orcid":"https://orcid.org/0000-0002-3372-8167"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijun Wang","raw_affiliation_strings":["Anhui Province Key Lab. of Big Data Analysis and Application, University of S&T of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Province Key Lab. of Big Data Analysis and Application, University of S&T of China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1577,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.90254114,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1901","last_page":"1908"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10057","display_name":"Face and Expression Recognition","score":0.9771999716758728,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9502000212669373,"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":0.7456362843513489},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6356478929519653},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5973395109176636},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5970394611358643},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5153667330741882},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4922267496585846},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.4908824563026428},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48905906081199646},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.48516422510147095},{"id":"https://openalex.org/keywords/transformation-matrix","display_name":"Transformation matrix","score":0.4821317195892334},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.4642634391784668},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46023842692375183},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4579204320907593},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4396747648715973},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4216853082180023},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36576172709465027},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34780704975128174},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3357846140861511},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.3102003335952759},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17826932668685913}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7456362843513489},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6356478929519653},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5973395109176636},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5970394611358643},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5153667330741882},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4922267496585846},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.4908824563026428},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48905906081199646},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.48516422510147095},{"id":"https://openalex.org/C165443888","wikidata":"https://www.wikidata.org/wiki/Q1482183","display_name":"Transformation matrix","level":3,"score":0.4821317195892334},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.4642634391784668},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46023842692375183},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4579204320907593},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4396747648715973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4216853082180023},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36576172709465027},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34780704975128174},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3357846140861511},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.3102003335952759},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17826932668685913},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical 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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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.2017/264","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/264","pdf_url":"https://www.ijcai.org/proceedings/2017/0264.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2017/264","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/264","pdf_url":"https://www.ijcai.org/proceedings/2017/0264.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3105975269","display_name":null,"funder_award_id":"61325010","funder_id":"https://openalex.org/F4320336125","funder_display_name":"National Science Fund for Distinguished Young Scholars"},{"id":"https://openalex.org/G333974875","display_name":null,"funder_award_id":"2016YFB1000904","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3968678978","display_name":null,"funder_award_id":"1708085QF155","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G5007750573","display_name":null,"funder_award_id":"U1605251","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5589099401","display_name":null,"funder_award_id":"Grant No. 1708085QF155","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G6254815431","display_name":null,"funder_award_id":"61602147","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8282211624","display_name":null,"funder_award_id":"61403358","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G854540278","display_name":null,"funder_award_id":"61325010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335892","display_name":"Youth Innovation Promotion Association","ror":null},{"id":"https://openalex.org/F4320336125","display_name":"National Science Fund for Distinguished Young Scholars","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2741737658.pdf","grobid_xml":"https://content.openalex.org/works/W2741737658.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W30495595","https://openalex.org/W1775587472","https://openalex.org/W1902027874","https://openalex.org/W1990846291","https://openalex.org/W2004026774","https://openalex.org/W2005156851","https://openalex.org/W2009837099","https://openalex.org/W2018936209","https://openalex.org/W2045563097","https://openalex.org/W2069216164","https://openalex.org/W2077927809","https://openalex.org/W2082138174","https://openalex.org/W2083855143","https://openalex.org/W2088424151","https://openalex.org/W2117756735","https://openalex.org/W2167680278","https://openalex.org/W2170402521","https://openalex.org/W2198602317","https://openalex.org/W2236550495","https://openalex.org/W2575463406","https://openalex.org/W2587290924","https://openalex.org/W2963868026"],"related_works":["https://openalex.org/W3109911900","https://openalex.org/W4312998587","https://openalex.org/W1575318294","https://openalex.org/W3080740766","https://openalex.org/W3166581859","https://openalex.org/W2909865466","https://openalex.org/W2032039661","https://openalex.org/W4386143129","https://openalex.org/W2908124738","https://openalex.org/W2000026009"],"abstract_inverted_index":{"Matrix":[0],"Factorization":[1],"(MF)":[2],"is":[3,21,117],"among":[4],"the":[5,25,98,111,136,143],"most":[6,37],"widely":[7],"used":[8,118],"techniques":[9],"for":[10,119],"collaborative":[11],"filtering":[12],"based":[13],"recommendation.":[14],"Along":[15],"this":[16,54,115],"line,":[17],"a":[18,58,65,79,84,101],"critical":[19],"demand":[20],"to":[22],"incrementally":[23],"refine":[24],"MF":[26,41,47,61],"models":[27,48],"when":[28,114],"new":[29],"ratings":[30],"come":[31],"in":[32,91,122],"an":[33,92,107],"online":[34,93],"scenario.":[35,94],"However,":[36],"of":[38,68,142],"existing":[39],"incremental":[40,60,120],"algorithms":[42],"are":[43],"limited":[44],"by":[45,63],"specific":[46],"or":[49],"strict":[50],"use":[51],"restrictions.":[52],"In":[53],"paper,":[55],"we":[56,96],"propose":[57],"general":[59],"framework":[62,77,99,116],"designing":[64],"linear":[66],"transformation":[67],"user":[69],"and":[70,86,105,139],"item":[71],"latent":[72],"vectors":[73],"over":[74],"time.":[75],"This":[76],"shows":[78],"relatively":[80],"high":[81],"accuracy":[82],"with":[83,100],"computation":[85],"space":[87],"efficient":[88],"training":[89,112],"process":[90],"Meanwhile,":[95],"explain":[97],"low-rank":[102],"approximation":[103],"perspective,":[104],"give":[106],"upper":[108],"bound":[109],"on":[110,130],"error":[113],"learning":[121],"some":[123],"special":[124],"cases.":[125],"Finally,":[126],"extensive":[127],"experimental":[128],"results":[129],"two":[131],"real-world":[132],"datasets":[133],"clearly":[134],"validate":[135],"effectiveness,":[137],"efficiency":[138],"storage":[140],"performance":[141],"proposed":[144],"framework.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}