{"id":"https://openalex.org/W2963146368","doi":"https://doi.org/10.1145/3331184.3331214","title":"A Neural Influence Diffusion Model for Social Recommendation","display_name":"A Neural Influence Diffusion Model for Social Recommendation","publication_year":2019,"publication_date":"2019-07-18","ids":{"openalex":"https://openalex.org/W2963146368","doi":"https://doi.org/10.1145/3331184.3331214","mag":"2963146368"},"language":"en","primary_location":{"id":"doi:10.1145/3331184.3331214","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3331184.3331214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval","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/A5033706423","display_name":"Le Wu","orcid":"https://orcid.org/0000-0003-4556-0581"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Le Wu","raw_affiliation_strings":["Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054609020","display_name":"Peijie Sun","orcid":"https://orcid.org/0000-0001-9733-0521"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peijie Sun","raw_affiliation_strings":["Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032187620","display_name":"Yanjie Fu","orcid":"https://orcid.org/0000-0002-1767-8024"},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanjie Fu","raw_affiliation_strings":["Missouri University of Science and Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Missouri University of Science and Technology, Hefei, China","institution_ids":["https://openalex.org/I20382870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051332325","display_name":"Richang Hong","orcid":"https://orcid.org/0000-0001-5461-3986"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Richang Hong","raw_affiliation_strings":["Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018582673","display_name":"Xiting Wang","orcid":"https://orcid.org/0000-0002-1846-1118"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiting Wang","raw_affiliation_strings":["Microsoft Research, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100377147","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-3094-7735"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5033706423"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":93.3566,"has_fulltext":false,"cited_by_count":565,"citation_normalized_percentile":{"value":0.99951996,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"235","last_page":"244"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9815999865531921,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9516000151634216,"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":0.7919079661369324},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7566906213760376},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.6307218074798584},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6172659397125244},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.605589747428894},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6048594117164612},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6012046933174133},{"id":"https://openalex.org/keywords/user-modeling","display_name":"User modeling","score":0.45738548040390015},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44440653920173645},{"id":"https://openalex.org/keywords/social-influence","display_name":"Social influence","score":0.440616637468338},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.4394417107105255},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37605369091033936},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.37340110540390015},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.26105618476867676},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.21960723400115967},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10871046781539917}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7919079661369324},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7566906213760376},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.6307218074798584},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6172659397125244},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.605589747428894},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6048594117164612},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6012046933174133},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.45738548040390015},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44440653920173645},{"id":"https://openalex.org/C131158328","wikidata":"https://www.wikidata.org/wiki/Q1307337","display_name":"Social influence","level":2,"score":0.440616637468338},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.4394417107105255},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37605369091033936},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.37340110540390015},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.26105618476867676},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.21960723400115967},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10871046781539917},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"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/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3331184.3331214","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3331184.3331214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W20066928","https://openalex.org/W1836465849","https://openalex.org/W1966261380","https://openalex.org/W1968380849","https://openalex.org/W1969667322","https://openalex.org/W1991055526","https://openalex.org/W1994226161","https://openalex.org/W1994389483","https://openalex.org/W2033198212","https://openalex.org/W2039613841","https://openalex.org/W2054141820","https://openalex.org/W2061820396","https://openalex.org/W2094286023","https://openalex.org/W2099970131","https://openalex.org/W2109742433","https://openalex.org/W2135598826","https://openalex.org/W2140310134","https://openalex.org/W2144487656","https://openalex.org/W2147318892","https://openalex.org/W2157881433","https://openalex.org/W2171960770","https://openalex.org/W2244405900","https://openalex.org/W2267735350","https://openalex.org/W2295739661","https://openalex.org/W2343271409","https://openalex.org/W2468907370","https://openalex.org/W2506598623","https://openalex.org/W2519887557","https://openalex.org/W2587290924","https://openalex.org/W2604662567","https://openalex.org/W2605350416","https://openalex.org/W2624431344","https://openalex.org/W2755092149","https://openalex.org/W2798908418","https://openalex.org/W2807021761","https://openalex.org/W2809583854","https://openalex.org/W2888838693","https://openalex.org/W2893671662","https://openalex.org/W2899291427","https://openalex.org/W2950133940","https://openalex.org/W2962835968","https://openalex.org/W2963043672","https://openalex.org/W2963460103","https://openalex.org/W2963668762","https://openalex.org/W2964311892","https://openalex.org/W3099386565","https://openalex.org/W3100848837","https://openalex.org/W4293651439","https://openalex.org/W6660309285"],"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":{"Precise":[0],"user":[1,24,43,73,81,143,203],"and":[2,25,112,200,250],"item":[3,26],"embedding":[4,74,88,194],"learning":[5],"is":[6,36,89,219,248,263],"the":[7,29,34,40,47,68,102,115,123,127,138,146,150,176,187,197,208,236,255,259,276,289,296],"key":[8,213],"to":[9,22,39,59,66,155,169,228],"building":[10],"a":[11,20,83,164,201,223],"successful":[12],"recommender":[13,54],"system.":[14],"Traditionally,":[15],"Collaborative":[16],"Filtering":[17],"(CF)":[18],"provides":[19],"way":[21],"learn":[23],"embeddings":[27,233],"from":[28],"user-item":[30],"interaction":[31],"history.":[32],"However,":[33],"performance":[35,286],"limited":[37],"due":[38],"sparseness":[41],"of":[42,49,82,141,215,278],"behavior":[44,210],"data.":[45],"With":[46],"emergence":[48],"online":[50],"social":[51,53,84,105,108,116,129,152,178,182,237,260],"networks,":[52],"systems":[55],"have":[56],"been":[57],"proposed":[58,217,246,280],"utilize":[60],"each":[61,80,118,142,185],"user's":[62,119],"local":[63,139],"neighbors'":[64],"preferences":[65],"alleviate":[67],"data":[69],"sparsity":[70],"for":[71,79,181,292],"better":[72],"modeling.":[75],"We":[76,241],"argue":[77],"that,":[78],"platform,":[85],"her":[86,92],"potential":[87],"influenced":[90,100,174],"by":[91,101,136,175],"trusted":[93,97,103],"users,":[94],"with":[95,191,282],"these":[96],"users":[98,172],"are":[99,173],"users'":[104,231],"connections.":[106],"As":[107],"influence":[109,166,225],"recursively":[110],"propagates":[111],"diffuses":[113],"in":[114,122,149],"network,":[117,153],"interests":[120],"change":[121],"recursive":[124,147,177],"process.":[125],"Nevertheless,":[126],"current":[128],"recommendation":[130,157,294],"models":[131,135],"simply":[132],"developed":[133],"static":[134],"leveraging":[137],"neighbors":[140],"without":[144],"simulating":[145],"diffusion":[148,179,188,238],"global":[151],"leading":[154],"suboptimal":[156],"performance.":[158],"In":[159],"this":[160],"paper,":[161],"we":[162,221],"propose":[163],"deep":[165],"propagation":[167,226],"model":[168,218,229,247],"stimulate":[170],"how":[171,230],"process":[180,189,239],"recommendation.":[183],"For":[184],"user,":[186],"starts":[190],"an":[192],"initial":[193],"that":[195,206,220,244],"fuses":[196],"related":[198],"features":[199],"free":[202],"latent":[204,209,232],"vector":[205],"captures":[207],"preference.":[211],"The":[212],"idea":[214],"our":[216,245,279],"design":[222],"layer-wise":[224],"structure":[227,262],"evolve":[234],"as":[235],"continues.":[240],"further":[242],"show":[243,275],"general":[249],"could":[251],"be":[252],"applied":[253],"when":[254],"user~(item)":[256],"attributes":[257],"or":[258],"network":[261],"not":[264],"available.":[265],"Finally,":[266],"extensive":[267],"experimental":[268],"results":[269],"on":[270,295],"two":[271,297],"real-world":[272],"datasets":[273],"clearly":[274],"effectiveness":[277],"model,":[281],"more":[283],"than":[284],"13%":[285],"improvements":[287],"over":[288],"best":[290],"baselines":[291],"top-10":[293],"datasets.":[298]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":77},{"year":2024,"cited_by_count":95},{"year":2023,"cited_by_count":115},{"year":2022,"cited_by_count":93},{"year":2021,"cited_by_count":103},{"year":2020,"cited_by_count":60},{"year":2019,"cited_by_count":9}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}