{"id":"https://openalex.org/W3201938506","doi":"https://doi.org/10.1109/tkde.2021.3117686","title":"Community-aware Social Recommendation: A Unified SCSVD Framework","display_name":"Community-aware Social Recommendation: A Unified SCSVD Framework","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3201938506","doi":"https://doi.org/10.1109/tkde.2021.3117686","mag":"3201938506"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2021.3117686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3117686","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","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/A5061191254","display_name":"Jiewen Guan","orcid":"https://orcid.org/0000-0002-2765-9302"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]},{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiewen Guan","raw_affiliation_strings":["Department of Automation, Xiamen University, 12466 Xiamen, Fujian, China, (e-mail: 23220191151283@stu.xmu.edu.cn)"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Xiamen University, 12466 Xiamen, Fujian, China, (e-mail: 23220191151283@stu.xmu.edu.cn)","institution_ids":["https://openalex.org/I191208505","https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058488736","display_name":"Xin Huang","orcid":"https://orcid.org/0000-0002-3650-0301"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xin Huang","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, 26679 Kowloon, Hong Kong, China, (e-mail: xinhuang@comp.hkbu.edu.hk)"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, 26679 Kowloon, Hong Kong, China, (e-mail: xinhuang@comp.hkbu.edu.hk)","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023647082","display_name":"Bilian Chen","orcid":"https://orcid.org/0000-0001-5805-072X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]},{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bilian Chen","raw_affiliation_strings":["Department of Automation, Xiamen University, 12466 Xiamen, Fujian, China, (e-mail: blchen@xmu.edu.cn)"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Xiamen University, 12466 Xiamen, Fujian, China, (e-mail: blchen@xmu.edu.cn)","institution_ids":["https://openalex.org/I191208505","https://openalex.org/I75867142"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061191254"],"corresponding_institution_ids":["https://openalex.org/I191208505","https://openalex.org/I75867142"],"apc_list":null,"apc_paid":null,"fwci":1.6525,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.87338359,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9937000274658203,"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"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9868999719619751,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8473795056343079},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6903038620948792},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6701534986495972},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.5938798189163208},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.572136402130127},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5121988654136658},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.45783519744873047},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4460415244102478},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4221360981464386},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37936627864837646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33777183294296265},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17141565680503845},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.10577559471130371}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8473795056343079},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6903038620948792},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6701534986495972},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.5938798189163208},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.572136402130127},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5121988654136658},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.45783519744873047},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4460415244102478},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4221360981464386},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37936627864837646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33777183294296265},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17141565680503845},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.10577559471130371},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2021.3117686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3117686","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6100000143051147}],"awards":[{"id":"https://openalex.org/G7097245526","display_name":null,"funder_award_id":"61836005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W362613609","https://openalex.org/W1511814458","https://openalex.org/W1546847949","https://openalex.org/W1612336946","https://openalex.org/W1690919088","https://openalex.org/W1774848501","https://openalex.org/W1966472199","https://openalex.org/W1971421925","https://openalex.org/W1983437699","https://openalex.org/W1994226161","https://openalex.org/W1994389483","https://openalex.org/W2004445826","https://openalex.org/W2009205701","https://openalex.org/W2019512103","https://openalex.org/W2039613841","https://openalex.org/W2050601254","https://openalex.org/W2063251739","https://openalex.org/W2080320419","https://openalex.org/W2084527756","https://openalex.org/W2084677224","https://openalex.org/W2089468765","https://openalex.org/W2093219534","https://openalex.org/W2109742433","https://openalex.org/W2111002549","https://openalex.org/W2115632271","https://openalex.org/W2117346966","https://openalex.org/W2119825970","https://openalex.org/W2127048411","https://openalex.org/W2130354913","https://openalex.org/W2133266261","https://openalex.org/W2135598826","https://openalex.org/W2139694940","https://openalex.org/W2144487656","https://openalex.org/W2158698691","https://openalex.org/W2217347858","https://openalex.org/W2244405900","https://openalex.org/W2486624530","https://openalex.org/W2509678028","https://openalex.org/W2566709528","https://openalex.org/W2571268788","https://openalex.org/W2594361061","https://openalex.org/W2604942799","https://openalex.org/W2605350416","https://openalex.org/W2607323999","https://openalex.org/W2743289629","https://openalex.org/W2767834929","https://openalex.org/W2794092542","https://openalex.org/W2832876791","https://openalex.org/W2897979119","https://openalex.org/W2905410270","https://openalex.org/W2914050157","https://openalex.org/W2914721378","https://openalex.org/W2945827670","https://openalex.org/W2964649670","https://openalex.org/W2964938963","https://openalex.org/W2966153325","https://openalex.org/W3003213456","https://openalex.org/W3025665229","https://openalex.org/W3028772300","https://openalex.org/W3045200674","https://openalex.org/W3088777230","https://openalex.org/W3100278010","https://openalex.org/W3102641634","https://openalex.org/W3104326162","https://openalex.org/W3139313365","https://openalex.org/W3155496675","https://openalex.org/W4229706427","https://openalex.org/W4292081303","https://openalex.org/W6603608671","https://openalex.org/W6632551490","https://openalex.org/W6636572641","https://openalex.org/W6680451568","https://openalex.org/W6731805261","https://openalex.org/W6756248755"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W2772628444","https://openalex.org/W4220714703","https://openalex.org/W2735929803","https://openalex.org/W2170391450","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2041004656","https://openalex.org/W4376854386","https://openalex.org/W1966742602"],"abstract_inverted_index":{"Recommender":[0],"system":[1],"provides":[2],"personalized":[3],"suggestions":[4],"based":[5],"on":[6,138],"users'":[7],"interests":[8],"and":[9,80,122,130,150,158],"social":[10,15,19,37,40,46,105],"connections.":[11],"However,":[12],"most":[13],"existing":[14],"recommendation":[16,74,106,160],"models":[17],"utilize":[18],"relationships":[20],"in":[21,44,55,67,116,154],"a":[22,72,98],"direct":[23],"manner,":[24],"i.e.,":[25],"they":[26],"only":[27],"consider":[28],"the":[29,33,45,48,87,113,124,147],"user-user":[30,59],"connections,":[31],"neglecting":[32],"clustering":[34],"nature":[35],"of":[36,118,127,143,152],"networks.":[38],"As":[39],"information":[41,54],"recursively":[42],"spreads":[43],"network,":[47],"community":[49,89,128],"structure,":[50],"which":[51,85],"contains":[52],"richer":[53],"contrast":[56],"to":[57,91,103,163],"pure":[58],"relationships,":[60],"would":[61],"emerge.":[62],"To":[63],"dismiss":[64],"these":[65],"limitations,":[66],"this":[68],"paper,":[69],"we":[70,110],"propose":[71,97],"unified":[73,125],"framework":[75],"named":[76],"Simultaneous":[77],"Community":[78],"detection":[79,129],"Singular":[81],"Value":[82],"Decomposition":[83],"(SCSVD),":[84],"utilizes":[86],"underlying":[88],"structure":[90],"regularize":[92],"user":[93,131],"latent":[94],"preferences.":[95],"We":[96],"well-designed":[99],"iterative":[100],"optimization":[101],"algorithm":[102,115],"tackle":[104],"efficiently.":[107],"In":[108],"addition,":[109],"theoretically":[111],"analyze":[112],"proposed":[114],"terms":[117],"convergence,":[119],"time":[120],"complexity,":[121],"also":[123],"process":[126],"embedding":[132],"learning.":[133],"Extensive":[134],"experiments":[135],"are":[136],"conducted":[137],"three":[139],"benchmark":[140],"real-world":[141],"datasets":[142],"product":[144],"reviews,":[145],"demonstrating":[146],"effectiveness,":[148],"robustness,":[149],"flexibility":[151],"SCSVD":[153],"both":[155],"rating":[156],"prediction":[157],"top-N":[159],"tasks,":[161],"compared":[162],"fifteen":[164],"state-of-the-art":[165],"approaches.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}