{"id":"https://openalex.org/W2962907114","doi":"https://doi.org/10.1109/tkde.2019.2893638","title":"Adversarial Training Towards Robust Multimedia Recommender System","display_name":"Adversarial Training Towards Robust Multimedia Recommender System","publication_year":2019,"publication_date":"2019-01-18","ids":{"openalex":"https://openalex.org/W2962907114","doi":"https://doi.org/10.1109/tkde.2019.2893638","mag":"2962907114"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2019.2893638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2019.2893638","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/A5035112538","display_name":"Jinhui Tang","orcid":"https://orcid.org/0000-0001-9008-222X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhui Tang","raw_affiliation_strings":["Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-9008-222X","affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003567218","display_name":"Xiaoyu Du","orcid":"https://orcid.org/0000-0002-4641-1994"},"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":"Xiaoyu Du","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-4641-1994","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038668215","display_name":"Xiangnan He","orcid":"https://orcid.org/0000-0001-8472-7992"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangnan He","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-8472-7992","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081665927","display_name":"Fajie Yuan","orcid":"https://orcid.org/0000-0001-8452-9929"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fajie Yuan","raw_affiliation_strings":["Platform and Content Group (PCG) of Tencent, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Platform and Content Group (PCG) of Tencent, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111504451","display_name":"Qi Tian","orcid":"https://orcid.org/0000-0002-5165-4325"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Tian","raw_affiliation_strings":["Huawei Noah's Ark Laboratory, Huawei, China"],"raw_orcid":"https://orcid.org/0000-0002-5165-4325","affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Laboratory, Huawei, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089404640","display_name":"Tat\u2010Seng Chua","orcid":"https://orcid.org/0000-0001-6097-7807"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tat-Seng Chua","raw_affiliation_strings":["National University of Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-6097-7807","affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.4583,"has_fulltext":false,"cited_by_count":200,"citation_normalized_percentile":{"value":0.98849033,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"32","issue":"5","first_page":"855","last_page":"867"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9954000115394592,"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"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9954000115394592,"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"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.993399977684021,"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"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9927999973297119,"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":0.8865943551063538},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8684498071670532},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6786982417106628},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6388242840766907},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5663101673126221},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.542936384677887},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.5241244435310364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45785343647003174},{"id":"https://openalex.org/keywords/upload","display_name":"Upload","score":0.4293249249458313},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38632136583328247},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17513924837112427}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8865943551063538},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8684498071670532},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6786982417106628},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6388242840766907},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5663101673126221},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.542936384677887},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.5241244435310364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45785343647003174},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.4293249249458313},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38632136583328247},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17513924837112427},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tkde.2019.2893638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2019.2893638","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"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/168410","is_oa":false,"landing_page_url":"https://scholarbank.nus.edu.sg/handle/10635/168410","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2351125877","display_name":null,"funder_award_id":"61732007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3254963032","display_name":"\u9762\u5411\u591a\u5a92\u4f53\u8bed\u4e49\u7406\u89e3\u7684\u89c6\u89c9\u7279\u5f81\u8868\u793a\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61772275","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5269616794","display_name":null,"funder_award_id":"61720106004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5438267384","display_name":null,"funder_award_id":"BK20170033","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G5526867466","display_name":null,"funder_award_id":"U1611461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6051939103","display_name":null,"funder_award_id":"2016YFB1001001","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320333169","display_name":"National Science Foundation, United Arab Emirates","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1673923490","https://openalex.org/W1945616565","https://openalex.org/W2027731328","https://openalex.org/W2051090063","https://openalex.org/W2089352340","https://openalex.org/W2105397135","https://openalex.org/W2114079787","https://openalex.org/W2137028279","https://openalex.org/W2140310134","https://openalex.org/W2146502635","https://openalex.org/W2160550980","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2210549170","https://openalex.org/W2296452361","https://openalex.org/W2319358180","https://openalex.org/W2340502990","https://openalex.org/W2342027869","https://openalex.org/W2527280178","https://openalex.org/W2527464456","https://openalex.org/W2539247542","https://openalex.org/W2543927648","https://openalex.org/W2573426660","https://openalex.org/W2605350416","https://openalex.org/W2625022521","https://openalex.org/W2740276176","https://openalex.org/W2740409734","https://openalex.org/W2741249238","https://openalex.org/W2742143754","https://openalex.org/W2766120998","https://openalex.org/W2782298158","https://openalex.org/W2782358642","https://openalex.org/W2783679202","https://openalex.org/W2787634879","https://openalex.org/W2788663865","https://openalex.org/W2788730650","https://openalex.org/W2798868970","https://openalex.org/W2802187397","https://openalex.org/W2808573650","https://openalex.org/W2808668898","https://openalex.org/W2905373637","https://openalex.org/W2963080758","https://openalex.org/W2963207607","https://openalex.org/W2963323306","https://openalex.org/W2963389226","https://openalex.org/W2963655167","https://openalex.org/W2963900085","https://openalex.org/W2964052347","https://openalex.org/W2964153729","https://openalex.org/W3093419064","https://openalex.org/W3101830194","https://openalex.org/W3102249200","https://openalex.org/W3102331315","https://openalex.org/W4300996741","https://openalex.org/W6637162671","https://openalex.org/W6640425456","https://openalex.org/W6680830989","https://openalex.org/W6681435938","https://openalex.org/W6684191040","https://openalex.org/W6693601121","https://openalex.org/W6729756640","https://openalex.org/W6730161283","https://openalex.org/W6740898809","https://openalex.org/W6747936144","https://openalex.org/W6910610971"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W4246396837","https://openalex.org/W2482350142","https://openalex.org/W3176240006","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4288019534","https://openalex.org/W4310988119"],"abstract_inverted_index":{"With":[0],"the":[1,7,16,28,52,65,74,86,93,104,118,124,129,143,183,193,197,201,223,231],"prevalence":[2],"of":[3,30,67,76,88,132,145,199,226,233],"multimedia":[4,20,40,68,77,89,133,171,210],"content":[5],"on":[6,39,45,73,85,117,207],"Web,":[8],"developing":[9],"recommender":[10,90,134,172],"solutions":[11],"that":[12,103,111],"can":[13,165],"effectively":[14],"leverage":[15],"rich":[17],"signal":[18],"in":[19,23,34,136,241],"data":[21],"is":[22,107,180],"urgent":[24],"need.":[25],"Owing":[26],"to":[27,50,63,167,181,185,192],"success":[29],"deep":[31,47,98],"neural":[32],"networks":[33],"representation":[35,69],"learning,":[36],"recent":[37],"advances":[38],"recommendation":[41,53,95,125,211,215],"has":[42,59],"largely":[43],"focused":[44],"exploring":[46],"learning":[48,228],"methods":[49],"improve":[51],"accuracy.":[54,126,203],"To":[55,151],"date,":[56],"however,":[57],"there":[58],"been":[60],"little":[61],"effort":[62],"investigate":[64],"robustness":[66,87],"and":[70,97,140,216,229],"its":[71,149],"impact":[72],"performance":[75],"recommendation.":[78,219],"In":[79],"this":[80,152],"paper,":[81],"we":[82,101,154],"shed":[83],"light":[84],"system.":[91],"Using":[92],"state-of-the-art":[94],"framework":[96],"image":[99,120,195,214],"features,":[100],"demonstrate":[102,230],"overall":[105],"system":[106,135],"not":[108],"robust,":[109],"such":[110],"a":[112,156,168],"small":[113],"(but":[114],"purposeful)":[115],"perturbation":[116],"input":[119],"will":[121],"severely":[122],"decrease":[123],"This":[127],"implies":[128],"possible":[130],"weakness":[131],"predicting":[137],"user":[138],"preference,":[139],"more":[141,169],"importantly,":[142],"potential":[144],"improvement":[146],"by":[147,174],"enhancing":[148],"robustness.":[150],"end,":[153],"propose":[155],"novel":[157],"solution":[158],"named":[159],"Adversarial":[160],"Multimedia":[161],"Recommendation":[162],"(AMR),":[163],"which":[164,189],"lead":[166],"robust":[170],"model":[173,184],"using":[175],"adversarial":[176,227],"learning.":[177],"The":[178],"idea":[179],"train":[182],"defend":[186],"an":[187],"adversary,":[188],"adds":[190],"perturbations":[191],"target":[194],"with":[196],"purpose":[198],"decreasing":[200],"model's":[202],"We":[204],"conduct":[205],"experiments":[206],"two":[208],"representative":[209],"tasks,":[212],"namely,":[213],"visually-aware":[217],"product":[218],"Extensive":[220],"results":[221],"verify":[222],"positive":[224],"effect":[225],"effectiveness":[232],"our":[234],"AMR":[235],"method.":[236],"Source":[237],"codes":[238],"are":[239],"available":[240],"https://github.com/duxy-me/AMR.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":34},{"year":2024,"cited_by_count":33},{"year":2023,"cited_by_count":33},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":37},{"year":2020,"cited_by_count":27},{"year":2019,"cited_by_count":8}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
