{"id":"https://openalex.org/W3089371897","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207045","title":"Leveraging Multisource Information in Matrix Factorization for Social Collaborative Filtering","display_name":"Leveraging Multisource Information in Matrix Factorization for Social Collaborative Filtering","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3089371897","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207045","mag":"3089371897"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207045","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","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/A5077287309","display_name":"Lele Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lele Huang","raw_affiliation_strings":["College of Computer science and engineering, Northwest Normal University, Lanzhou Gansu, China"],"affiliations":[{"raw_affiliation_string":"College of Computer science and engineering, Northwest Normal University, Lanzhou Gansu, China","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053794277","display_name":"Huifang Ma","orcid":"https://orcid.org/0000-0002-5104-8982"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]},{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huifang Ma","raw_affiliation_strings":["College of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin Guangxi, China","College of Computer science and engineering, Northwest Normal University, Lanzhou Gansu, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin Guangxi, China","institution_ids":["https://openalex.org/I5343935"]},{"raw_affiliation_string":"College of Computer science and engineering, Northwest Normal University, Lanzhou Gansu, China","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101134967","display_name":"Xiangchun He","orcid":null},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangchun He","raw_affiliation_strings":["College of Computer science and engineering, Northwest Normal University, Lanzhou Gansu, China"],"affiliations":[{"raw_affiliation_string":"College of Computer science and engineering, Northwest Normal University, Lanzhou Gansu, China","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015299890","display_name":"Liang Chang","orcid":"https://orcid.org/0000-0002-7262-4707"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Chang","raw_affiliation_strings":["College of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin Guangxi, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin Guangxi, China","institution_ids":["https://openalex.org/I5343935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5077287309"],"corresponding_institution_ids":["https://openalex.org/I68986083"],"apc_list":null,"apc_paid":null,"fwci":0.2669,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65379735,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"53","issue":null,"first_page":"1","last_page":"8"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9775000214576721,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9289000034332275,"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/collaborative-filtering","display_name":"Collaborative filtering","score":0.9209122061729431},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8455178737640381},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6848303079605103},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6487478017807007},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5966961979866028},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4299386143684387},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4213234782218933},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4130028784275055},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40206605195999146},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1293332874774933},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.1157374382019043}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.9209122061729431},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8455178737640381},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6848303079605103},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6487478017807007},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5966961979866028},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4299386143684387},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4213234782218933},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4130028784275055},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40206605195999146},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1293332874774933},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.1157374382019043},{"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","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/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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207045","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:ir.lzu.edu.cn/:262010/441949","is_oa":false,"landing_page_url":"http://ir.lzu.edu.cn/handle/262010/441949","pdf_url":null,"source":{"id":"https://openalex.org/S4406923049","display_name":"Lanzhou University Institutional Repository","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u4f1a\u8bae\u8bba\u6587"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W89444804","https://openalex.org/W118616697","https://openalex.org/W1770617812","https://openalex.org/W1984127251","https://openalex.org/W2119825970","https://openalex.org/W2135598826","https://openalex.org/W2148292526","https://openalex.org/W2221516123","https://openalex.org/W2244405900","https://openalex.org/W2509678028","https://openalex.org/W2566709528","https://openalex.org/W2602756700","https://openalex.org/W2604334159","https://openalex.org/W2809112621","https://openalex.org/W2904474160","https://openalex.org/W2919995112","https://openalex.org/W2941389420","https://openalex.org/W2965381393","https://openalex.org/W3001152901","https://openalex.org/W3009487369","https://openalex.org/W6603608671","https://openalex.org/W6638034506","https://openalex.org/W6688969522","https://openalex.org/W6690737137","https://openalex.org/W6731307417","https://openalex.org/W6735652022"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W1484355083","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W2170391450","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622"],"abstract_inverted_index":{"Collaborative":[0],"Filtering":[1],"is":[2,58,146],"a":[3,74,108,142],"technique":[4],"that":[5,157,166],"automatically":[6],"predicts":[7],"the":[8,30,36,53,66,90,132,151,167],"interest":[9],"of":[10,114,119,126,154],"an":[11],"active":[12],"user":[13,31,120,139],"by":[14],"collecting":[15],"rating":[16,96],"information":[17,82,153],"from":[18],"other":[19,174],"similar":[20,44],"users":[21,41,57],"or":[22,33,61],"items.":[23],"However,":[24],"existing":[25],"works":[26],"either":[27,59],"leave":[28],"out":[29],"reliability":[32,121],"cannot":[34],"capture":[35],"implicit":[37,123],"correlation":[38],"between":[39,56],"two":[40,115],"who":[42],"are":[43],"but":[45],"not":[46],"socially":[47],"connected.":[48],"Besides,":[49],"they":[50],"also":[51],"take":[52],"trust":[54],"value":[55],"0":[60],"1,":[62],"thus":[63],"will":[64],"degenerate":[65],"prediction":[67],"accuracy.":[68],"In":[69,130],"this":[70,104],"work,":[71],"we":[72,106],"propose":[73],"social":[75,100],"collaborative":[76],"filtering":[77],"algorithm":[78],"via":[79,93],"leveraging":[80],"multisource":[81,152],"in":[83],"matrix":[84,135],"factorization,":[85],"which":[86,112],"aims":[87],"to":[88,148],"solve":[89],"above":[91],"problems":[92],"employing":[94],"both":[95],"records":[97],"and":[98,122],"users'":[99],"network":[101],"information.":[102],"To":[103],"end,":[105],"design":[107],"novel":[109],"recommendation":[110,159,176],"framework,":[111],"consists":[113],"fundamental":[116],"components:":[117],"computation":[118],"interaction,":[124],"designing":[125],"user-shared":[127],"feature":[128],"space.":[129],"particular,":[131],"latter":[133],"performs":[134],"factorization":[136],"based":[137],"on":[138],"reliability.":[140],"Finally,":[141],"reasonable":[143],"objective":[144],"function":[145],"designed":[147],"synthetically":[149],"consider":[150],"users,":[155],"such":[156],"high-quality":[158],"can":[160],"be":[161],"produced.":[162],"Experimental":[163],"results":[164],"demonstrate":[165],"proposed":[168],"model":[169],"achieves":[170],"better":[171],"accuracy":[172],"than":[173],"counterpart":[175],"techniques.":[177]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
