{"id":"https://openalex.org/W2798868970","doi":"https://doi.org/10.1145/3209978.3209981","title":"Adversarial Personalized Ranking for Recommendation","display_name":"Adversarial Personalized Ranking for Recommendation","publication_year":2018,"publication_date":"2018-06-27","ids":{"openalex":"https://openalex.org/W2798868970","doi":"https://doi.org/10.1145/3209978.3209981","mag":"2798868970"},"language":"en","primary_location":{"id":"doi:10.1145/3209978.3209981","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3209978.3209981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1808.03908","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038668215","display_name":"Xiangnan He","orcid":"https://orcid.org/0000-0001-8472-7992"},"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":true,"raw_author_name":"Xiangnan He","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061585298","display_name":"Zhankui He","orcid":"https://orcid.org/0000-0002-9139-8004"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhankui He","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"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/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Du","raw_affiliation_strings":["Chengdu University of Information Technology, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"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, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5038668215"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":89.2419,"has_fulltext":false,"cited_by_count":397,"citation_normalized_percentile":{"value":0.99927086,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"355","last_page":"364"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9923999905586243,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7614238262176514},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7497230172157288},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6882517337799072},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5504636764526367},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.477247953414917},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35093581676483154},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.34315985441207886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29826897382736206}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7614238262176514},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7497230172157288},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6882517337799072},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5504636764526367},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.477247953414917},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35093581676483154},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.34315985441207886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29826897382736206}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3209978.3209981","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3209978.3209981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1808.03908","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1808.03908","pdf_url":"https://arxiv.org/pdf/1808.03908","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/167298","is_oa":false,"landing_page_url":"https://scholarbank.nus.edu.sg/handle/10635/167298","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":[],"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":"Conference Paper"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1808.03908","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1808.03908","pdf_url":"https://arxiv.org/pdf/1808.03908","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1598783518","https://openalex.org/W1673923490","https://openalex.org/W1886704267","https://openalex.org/W1945616565","https://openalex.org/W1973435495","https://openalex.org/W1994389483","https://openalex.org/W2085814658","https://openalex.org/W2099471712","https://openalex.org/W2108920354","https://openalex.org/W2140310134","https://openalex.org/W2146502635","https://openalex.org/W2150886314","https://openalex.org/W2210549170","https://openalex.org/W2253995343","https://openalex.org/W2295739661","https://openalex.org/W2336920772","https://openalex.org/W2340502990","https://openalex.org/W2509893387","https://openalex.org/W2517540742","https://openalex.org/W2539247542","https://openalex.org/W2543927648","https://openalex.org/W2556096924","https://openalex.org/W2565948352","https://openalex.org/W2605350416","https://openalex.org/W2619206542","https://openalex.org/W2626473670","https://openalex.org/W2734426634","https://openalex.org/W2740409734","https://openalex.org/W2741249238","https://openalex.org/W2741359394","https://openalex.org/W2743289629","https://openalex.org/W2760600531","https://openalex.org/W2767669124","https://openalex.org/W2767724106","https://openalex.org/W2773640334","https://openalex.org/W2782696945","https://openalex.org/W2788663865","https://openalex.org/W2798538558","https://openalex.org/W2798881875","https://openalex.org/W2808668898","https://openalex.org/W2963080758","https://openalex.org/W2963207607","https://openalex.org/W2963323306","https://openalex.org/W2964044287","https://openalex.org/W2964153729","https://openalex.org/W3093419064","https://openalex.org/W3101023724","https://openalex.org/W3101830194","https://openalex.org/W4239073208","https://openalex.org/W4300996741","https://openalex.org/W4301312111","https://openalex.org/W4320013936","https://openalex.org/W6637162671"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2118564381","https://openalex.org/W2163901716","https://openalex.org/W2152204162","https://openalex.org/W2739821120","https://openalex.org/W2150136235","https://openalex.org/W2026095310","https://openalex.org/W2140661912","https://openalex.org/W2056806613","https://openalex.org/W2153069032"],"abstract_inverted_index":{"Item":[0],"recommendation":[1,37],"is":[2,55,66,217],"a":[3,40,51,89,100,129,201],"personalized":[4],"ranking":[5,17,116],"task.":[6],"To":[7,84,157],"this":[8],"end,":[9],"many":[10],"recommender":[11,52,90],"systems":[12],"optimize":[13],"models":[14],"with":[15,47,195,200],"pairwise":[16,115],"objectives,":[18],"such":[19],"as":[20,39,127],"the":[21,31,63,78,86,114,133,136,153,172,187],"Bayesian":[22],"Personalized":[23,106],"Ranking":[24,107],"(BPR).":[25],"Using":[26],"matrix":[27],"Factorization":[28],"(MF)":[29],"-":[30,38,191],"most":[32],"widely":[33],"used":[34],"model":[35,53,65,74,91,149],"in":[36,82],"demonstration,":[41],"we":[42,60,98,162],"show":[43],"that":[44,54,62],"optimizing":[45,193],"it":[46,160,197],"BPR":[48,118,137,154,199],"leads":[49],"to":[50,69,151],"not":[56],"robust.":[57],"In":[58,109],"particular,":[59],"find":[61],"resultant":[64],"highly":[67],"vulnerable":[68],"adversarial":[70,121,146,169],"perturbations":[71,147,170],"on":[72,148,165,171,181,206],"its":[73,95],"parameters,":[75],"which":[76,144],"implies":[77],"possibly":[79],"large":[80],"error":[81],"generalization.":[83],"enhance":[85],"robustness":[87],"of":[88,135,175,189,204],"and":[92,177,208],"thus":[93],"improve":[94],"generalization":[96],"performance,":[97],"propose":[99],"new":[101],"optimization":[102],"framework,":[103],"namely":[104],"Adversarial":[105],"(APR).":[108],"short,":[110],"our":[111],"APR":[112,164,190],"enhances":[113],"method":[117],"by":[119,167,192],"performing":[120],"training.":[122],"It":[123],"can":[124],"be":[125],"interpreted":[126],"playing":[128],"minimax":[130],"game,":[131],"where":[132],"minimization":[134],"objective":[138,155],"function":[139],"meanwhile":[140],"defends":[141],"an":[142],"adversary,":[143],"adds":[145],"parameters":[150],"maximize":[152],"function.":[156],"illustrate":[158],"how":[159],"works,":[161],"implement":[163],"MF":[166,194],"adding":[168],"embedding":[173],"vectors":[174],"users":[176],"items.":[178],"Extensive":[179],"experiments":[180],"three":[182],"public":[183],"real-world":[184],"datasets":[185],"demonstrate":[186],"effectiveness":[188],"APR,":[196],"outperforms":[198],"relative":[202],"improvement":[203],"11.2%":[205],"average":[207],"achieves":[209],"state-of-the-art":[210],"performance":[211],"for":[212],"item":[213],"recommendation.":[214],"Our":[215],"implementation":[216],"available":[218],"at:":[219],"\\urlhttps://github.com/hexiangnan/adversarial_personalized_ranking.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":49},{"year":2023,"cited_by_count":47},{"year":2022,"cited_by_count":57},{"year":2021,"cited_by_count":70},{"year":2020,"cited_by_count":68},{"year":2019,"cited_by_count":66},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}