{"id":"https://openalex.org/W2803674771","doi":"https://doi.org/10.1109/access.2018.2832185","title":"Recommendation With Social Roles","display_name":"Recommendation With Social Roles","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2803674771","doi":"https://doi.org/10.1109/access.2018.2832185","mag":"2803674771"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2832185","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2832185","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2832185","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003106644","display_name":"Dugang Liu","orcid":"https://orcid.org/0000-0003-3612-709X"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dugang Liu","raw_affiliation_strings":["Department of Computer Science, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041736397","display_name":"Jie Huang","orcid":"https://orcid.org/0000-0001-7951-2217"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Huang","raw_affiliation_strings":["Department of Computer Science, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100707569","display_name":"Chen Lin","orcid":"https://orcid.org/0000-0002-2275-997X"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Lin","raw_affiliation_strings":["Department of Computer Science, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0002-2275-997X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.2214,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.93420142,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"6","issue":null,"first_page":"36420","last_page":"36427"},"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":0.9955000281333923,"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":0.9919999837875366,"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":0.8188843727111816},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6930146217346191},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6672220230102539},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.645423948764801},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.5462514758110046},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4064928889274597},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39841172099113464},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3391674757003784},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3379913568496704},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.20751836895942688},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.13018733263015747}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8188843727111816},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6930146217346191},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6672220230102539},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.645423948764801},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5462514758110046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4064928889274597},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39841172099113464},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3391674757003784},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3379913568496704},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.20751836895942688},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.13018733263015747},{"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/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/access.2018.2832185","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2832185","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3ffeeba4e487433da2e214b1754bc993","is_oa":true,"landing_page_url":"https://doaj.org/article/3ffeeba4e487433da2e214b1754bc993","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 36420-36427 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2832185","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2832185","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G3434551080","display_name":"\u57fa\u4e8e\u6838\u9178\u7cfb\u7edf\u7684\u590d\u6742\u5206\u5b50\u903b\u8f91\u7535\u8def\u7814\u7a76","funder_award_id":"61472333","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5359985857","display_name":"\u9762\u5411\u5fae\u535a\u7684\u5b9e\u65f6\u4e8b\u4ef6\u6df1\u5ea6\u6316\u6398\u7814\u7a76","funder_award_id":"61472335","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":37,"referenced_works":["https://openalex.org/W1517289518","https://openalex.org/W1966626570","https://openalex.org/W1968103943","https://openalex.org/W1980127182","https://openalex.org/W1984757319","https://openalex.org/W1993707478","https://openalex.org/W2011119790","https://openalex.org/W2014774952","https://openalex.org/W2022322548","https://openalex.org/W2034587223","https://openalex.org/W2035463970","https://openalex.org/W2041073712","https://openalex.org/W2054141820","https://openalex.org/W2057685268","https://openalex.org/W2064754513","https://openalex.org/W2080320419","https://openalex.org/W2084445547","https://openalex.org/W2084527756","https://openalex.org/W2085040216","https://openalex.org/W2093219534","https://openalex.org/W2119825970","https://openalex.org/W2126668712","https://openalex.org/W2128622971","https://openalex.org/W2135598826","https://openalex.org/W2136486572","https://openalex.org/W2137245235","https://openalex.org/W2144487656","https://openalex.org/W2146456494","https://openalex.org/W2164965146","https://openalex.org/W2217347858","https://openalex.org/W2254927840","https://openalex.org/W2294002049","https://openalex.org/W2405923393","https://openalex.org/W6641661906","https://openalex.org/W6688546294","https://openalex.org/W6713979495","https://openalex.org/W7070499600"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4401051025","https://openalex.org/W2065296176","https://openalex.org/W2909571385"],"abstract_inverted_index":{"Social":[0],"recommender":[1],"is":[2,52],"an":[3,62],"active":[4],"research":[5],"area.":[6],"Most":[7],"previous":[8],"social":[9,13,33,56,69],"recommenders":[10],"adopt":[11],"existing":[12],"networks":[14],"to":[15,29,66,85],"augment":[16],"recommendations":[17],"which":[18],"are":[19],"based":[20],"on":[21,54,73],"user":[22,38],"preferences.":[23],"In":[24],"this":[25],"contribution,":[26],"we":[27,46],"propose":[28],"simultaneously":[30],"infer":[31],"the":[32,37,49,55,78],"influence":[34,50],"network":[35],"and":[36,80],"preferences":[39],"in":[40],"a":[41],"matrix":[42],"factorization":[43],"framework.":[44],"Furthermore,":[45],"assume":[47],"that":[48],"strength":[51],"dependent":[53],"roles":[57],"of":[58,82],"users.":[59],"We":[60],"present":[61],"incremental":[63],"clustering":[64],"algorithm":[65],"detect":[67],"dynamic":[68],"roles.":[70],"Comprehensive":[71],"experiments":[72],"real":[74],"data":[75],"sets":[76],"demonstrate":[77],"efficiency":[79],"effectiveness":[81],"our":[83],"model":[84],"generate":[86],"precise":[87],"recommendations.":[88]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}