{"id":"https://openalex.org/W2979220309","doi":"https://doi.org/10.1109/ijcnn.2019.8851715","title":"Integrating Dual User Network Embedding with Matrix Factorization for Social Recommender Systems","display_name":"Integrating Dual User Network Embedding with Matrix Factorization for Social Recommender Systems","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2979220309","doi":"https://doi.org/10.1109/ijcnn.2019.8851715","mag":"2979220309"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8851715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 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/A5100692851","display_name":"Liying Chen","orcid":"https://orcid.org/0000-0002-6216-1980"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liying Chen","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100671939","display_name":"Honglei Zhang","orcid":"https://orcid.org/0000-0002-8229-852X"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honglei Zhang","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100702644","display_name":"Jun Wu","orcid":"https://orcid.org/0000-0001-5733-3621"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wu","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100692851"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":2.0349,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.9009792,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"290","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":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":0.9980000257492065,"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/T11478","display_name":"Caching and Content Delivery","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8341691493988037},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.700607419013977},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6702439785003662},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6505258083343506},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5141332745552063},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4611828923225403},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3474592864513397},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.300276517868042},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2155793309211731},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.14009812474250793}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8341691493988037},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.700607419013977},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6702439785003662},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6505258083343506},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5141332745552063},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4611828923225403},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3474592864513397},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.300276517868042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2155793309211731},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.14009812474250793},{"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8851715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W40442397","https://openalex.org/W1980853671","https://openalex.org/W1994389483","https://openalex.org/W2008886893","https://openalex.org/W2053186076","https://openalex.org/W2054141820","https://openalex.org/W2093219534","https://openalex.org/W2100235918","https://openalex.org/W2119825970","https://openalex.org/W2135598826","https://openalex.org/W2142535891","https://openalex.org/W2144487656","https://openalex.org/W2154851992","https://openalex.org/W2156718197","https://openalex.org/W2244405900","https://openalex.org/W2415243320","https://openalex.org/W2612872092","https://openalex.org/W2621465063","https://openalex.org/W2883458274","https://openalex.org/W2962711748","https://openalex.org/W2962756421","https://openalex.org/W2963224980","https://openalex.org/W3104097132","https://openalex.org/W6601599523","https://openalex.org/W6682755970","https://openalex.org/W6690737137","https://openalex.org/W6716303938","https://openalex.org/W6727186834"],"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/W2963185427","https://openalex.org/W4401051025","https://openalex.org/W2065296176","https://openalex.org/W2909571385"],"abstract_inverted_index":{"To":[0],"address":[1],"the":[2,23,33,43,60,92,101,118,140,172,184,187],"data":[3,20],"sparsity":[4],"problem":[5],"faced":[6],"by":[7,96],"recommender":[8],"systems,":[9],"social":[10,51,80,128,137,192],"network":[11,52],"among":[12],"users":[13],"is":[14,30,84,108,113],"often":[15],"utilized":[16],"to":[17,31,73,100,190],"complement":[18],"rating":[19,111,143],"for":[21,39,49,116],"improving":[22],"recommendation":[24,54,129,193],"performance.":[25],"One":[26],"of":[27,35,45,142,186],"current":[28],"trends":[29],"combine":[32],"idea":[34,44],"matrix":[36],"factorization":[37],"(MF)":[38],"predicting":[40],"ratings":[41],"with":[42,75],"graph":[46],"embedding":[47],"(GE)":[48],"analyzing":[50],"towards":[53,139],"tasks.":[55],"Despite":[56],"enjoying":[57],"many":[58],"advantages,":[59],"existing":[61],"integrated":[62],"models":[63,70],"have":[64],"two":[65],"critical":[66],"limitations.":[67],"First,":[68],"such":[69],"are":[71,98],"designed":[72],"work":[74],"either":[76],"explicit":[77,134],"or":[78],"implicit":[79,136],"network,":[81],"but":[82,104],"little":[83],"known":[85],"in":[86,160],"taking":[87],"both":[88,133],"into":[89],"account.":[90],"Second,":[91],"users\u2019":[93,119],"embeddings":[94],"learned":[95],"GE":[97,153,164],"fed":[99],"downstream":[102],"MF,":[103],"not":[105,114],"reverse,":[106],"which":[107,131,161],"sub-optimal":[109],"because":[110],"information":[112],"considered":[115],"learning":[117,173],"embeddings.":[120],"In":[121,145],"this":[122],"paper,":[123],"we":[124,147],"propose":[125],"a":[126,156],"novel":[127],"algorithm":[130],"exploits":[132],"and":[135,152,163],"networks":[138],"task":[141],"prediction.":[144],"Particular,":[146],"seamlessly":[148],"integrate":[149],"MF":[150,162],"model":[151,154],"within":[155],"unified":[157],"optimization":[158],"framework,":[159],"tasks":[165],"can":[166],"be":[167],"reinforced":[168],"each":[169],"other":[170],"during":[171],"process.":[174],"Our":[175],"encouraging":[176],"experimental":[177],"results":[178],"on":[179],"three":[180],"real-world":[181],"benchmarks":[182],"validate":[183],"superiority":[185],"proposed":[188],"approach":[189],"state-of-the-art":[191],"methods.":[194]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
