{"id":"https://openalex.org/W4403639773","doi":"https://doi.org/10.3233/jifs-231264","title":"Leveraging user\u2019s preference and social circle for personalized recommendation via matrix factorization with sub-linear convergence rate","display_name":"Leveraging user\u2019s preference and social circle for personalized recommendation via matrix factorization with sub-linear convergence rate","publication_year":2024,"publication_date":"2024-10-22","ids":{"openalex":"https://openalex.org/W4403639773","doi":"https://doi.org/10.3233/jifs-231264"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-231264","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-231264","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-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/A5101194978","display_name":"Laixiang Qiu","orcid":null},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Laixiang Qiu","raw_affiliation_strings":["School of Computer and Software Engineering, Xihua University, Chengdu, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University, Chengdu, P.R. China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100420316","display_name":"Wang Zhou","orcid":"https://orcid.org/0000-0003-4929-7207"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wang Zhou","raw_affiliation_strings":["School of Computer and Software Engineering, Xihua University, Chengdu, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University, Chengdu, P.R. China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049234317","display_name":"Ying Tian","orcid":"https://orcid.org/0000-0002-8841-9185"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ying Tian","raw_affiliation_strings":["Intelligent Policing Key Laboratory of Sichuan Province, Sichuan Police College, LuZhou, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Policing Key Laboratory of Sichuan Province, Sichuan Police College, LuZhou, P.R. China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058835260","display_name":"Amin Ul Haq","orcid":"https://orcid.org/0000-0002-7774-5604"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Amin Ul Haq","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035299588","display_name":"Sultan Ahmad","orcid":"https://orcid.org/0000-0002-3198-7974"},"institutions":[{"id":"https://openalex.org/I142608572","display_name":"Prince Sattam Bin Abdulaziz University","ror":"https://ror.org/04jt46d36","country_code":"SA","type":"education","lineage":["https://openalex.org/I142608572"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Sultan Ahmad","raw_affiliation_strings":["Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia","institution_ids":["https://openalex.org/I142608572"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100420316"],"corresponding_institution_ids":["https://openalex.org/I102345215"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27957023,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"47","issue":"1-2","first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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":1.0,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9746000170707703,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9668999910354614,"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/recommender-system","display_name":"Recommender system","score":0.7965520620346069},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7764689922332764},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.7059422135353088},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6902983784675598},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5876429677009583},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.5737842917442322},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5448061227798462},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.4805029630661011},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.47171327471733093},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4438523054122925},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3264888823032379},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.29145389795303345},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2283930480480194},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11536368727684021},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.08473137021064758},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08076557517051697}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7965520620346069},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7764689922332764},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.7059422135353088},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6902983784675598},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5876429677009583},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.5737842917442322},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5448061227798462},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.4805029630661011},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.47171327471733093},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4438523054122925},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3264888823032379},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.29145389795303345},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2283930480480194},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11536368727684021},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.08473137021064758},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08076557517051697},{"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-231264","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-231264","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5699999928474426,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2054141820","https://openalex.org/W2085040216","https://openalex.org/W2099970131","https://openalex.org/W2126539515","https://openalex.org/W2586563160","https://openalex.org/W2587290924","https://openalex.org/W2788017153","https://openalex.org/W2788893025","https://openalex.org/W2793148563","https://openalex.org/W2801641311","https://openalex.org/W2811039125","https://openalex.org/W2900229157","https://openalex.org/W2904362786","https://openalex.org/W2908074993","https://openalex.org/W2916582722","https://openalex.org/W2970686298","https://openalex.org/W2976925472","https://openalex.org/W3015126766","https://openalex.org/W3081320135","https://openalex.org/W3192310886","https://openalex.org/W3195061894","https://openalex.org/W3215039417","https://openalex.org/W3217560641","https://openalex.org/W4229336765"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W1484355083","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622","https://openalex.org/W2556532874"],"abstract_inverted_index":{"Recommender":[0],"systems":[1],"aim":[2],"to":[3,11,42],"filter":[4],"information":[5,20,66],"effectively":[6],"and":[7,49,64,68,98,121,135],"recommend":[8],"useful":[9],"sources":[10],"match":[12],"users\u2019":[13],"requirements.":[14],"However,":[15],"the":[16,76,85,89,124,127],"exponential":[17],"growth":[18],"of":[19,126],"in":[21],"recent":[22],"social":[23,50,90],"networks":[24],"may":[25],"cause":[26],"low":[27],"prediction":[28],"accuracy":[29],"for":[30,61,72,92],"recommendation":[31,39],"systems.":[32],"This":[33],"article":[34],"proposes":[35],"a":[36,110],"unified":[37],"personalized":[38],"architecture":[40],"referred":[41],"as":[43],"PSRec,":[44,129],"which":[45,130],"incorporates":[46],"user":[47,74,139],"preference":[48,70],"relationship":[51,97],"into":[52],"matrix":[53],"factorization":[54],"framework.":[55],"Specifically,":[56],"PSRec":[57,83,106],"generates":[58],"two":[59],"collections":[60],"textual":[62],"reviews":[63],"contextual":[65],"respectively,":[67],"performs":[69],"learning":[71],"each":[73],"via":[75,113],"Latent":[77],"Dirichlet":[78],"Allocation":[79],"topic":[80],"model.":[81],"Moreover,":[82],"exploits":[84],"inner":[86],"relations":[87],"within":[88],"circle":[91],"recommendation,":[93],"including":[94],"direct":[95],"trust":[96,100],"indirect":[99],"relationship.":[101],"Additionally,":[102],"it\u2019s":[103],"certificated":[104],"that":[105],"can":[107,131],"converge":[108],"at":[109],"sub-linear":[111],"rate":[112],"theoretical":[114],"analysis.":[115],"Experimental":[116],"results":[117],"over":[118],"DoubanMovie,":[119],"CiaoDVDs":[120],"Yelp":[122],"demonstrate":[123],"superiority":[125],"proposed":[128],"achieve":[132],"significant":[133],"improvements":[134],"provide":[136],"much":[137],"better":[138],"experience":[140],"while":[141],"compared":[142],"with":[143],"other":[144],"benchmark":[145],"models.":[146]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
