{"id":"https://openalex.org/W2935172252","doi":"https://doi.org/10.1007/978-3-030-46133-1_16","title":"Sequential Learning over Implicit Feedback for Robust Large-Scale Recommender Systems","display_name":"Sequential Learning over Implicit Feedback for Robust Large-Scale Recommender Systems","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W2935172252","doi":"https://doi.org/10.1007/978-3-030-46133-1_16","mag":"2935172252"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-46133-1_16","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-46133-1_16","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-030-46133-1_16","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088443588","display_name":"Aleksandra Burashnikova","orcid":null},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Aleksandra Burashnikova","raw_affiliation_strings":["Skolkovo Institute of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology","institution_ids":["https://openalex.org/I125989756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085595650","display_name":"Yury Maximov","orcid":"https://orcid.org/0000-0002-8135-4622"},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["FR","RU","US"],"is_corresponding":false,"raw_author_name":"Yury Maximov","raw_affiliation_strings":["Theoretical Division T-5 and CNLS, Los Alamos National Laboratory 3 University Grenoble-Alpes","Skolkovo Institute of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Theoretical Division T-5 and CNLS, Los Alamos National Laboratory 3 University Grenoble-Alpes","institution_ids":["https://openalex.org/I1343871089","https://openalex.org/I899635006"]},{"raw_affiliation_string":"Skolkovo Institute of Science and Technology","institution_ids":["https://openalex.org/I125989756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044686680","display_name":"Massih-Reza Amini","orcid":"https://orcid.org/0000-0001-9032-4233"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Massih-Reza Amini","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088443588"],"corresponding_institution_ids":["https://openalex.org/I125989756"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.9176,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70264132,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"253","last_page":"269"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9975000023841858,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9919000267982483,"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/recommender-system","display_name":"Recommender system","score":0.8388569951057434},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6899695992469788},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6274735927581787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37768322229385376},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32520949840545654},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06064373254776001},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.048143595457077026}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8388569951057434},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6899695992469788},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6274735927581787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37768322229385376},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32520949840545654},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06064373254776001},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.048143595457077026}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-030-46133-1_16","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-46133-1_16","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:arXiv.org:1902.08495","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1902.08495","pdf_url":"https://arxiv.org/pdf/1902.08495","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":"mag:2935172252","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1902.08495","pdf_url":null,"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":"arXiv (Cornell University)","raw_type":null}],"best_oa_location":{"id":"doi:10.1007/978-3-030-46133-1_16","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-46133-1_16","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5899999737739563,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W959601341","https://openalex.org/W1530276735","https://openalex.org/W1968563228","https://openalex.org/W1994389483","https://openalex.org/W2037594831","https://openalex.org/W2042996020","https://openalex.org/W2054141820","https://openalex.org/W2100235918","https://openalex.org/W2101409192","https://openalex.org/W2124187902","https://openalex.org/W2219888463","https://openalex.org/W2340502990","https://openalex.org/W2502682353","https://openalex.org/W2512965516","https://openalex.org/W2626454364","https://openalex.org/W2740291111","https://openalex.org/W2750004028","https://openalex.org/W2783272285","https://openalex.org/W2893679365","https://openalex.org/W2963367478","https://openalex.org/W2963470657","https://openalex.org/W2981644170","https://openalex.org/W3099726625","https://openalex.org/W3102619277","https://openalex.org/W4231934124","https://openalex.org/W4301213493"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,32,43,50,62,122,137],"robust":[6],"sequential":[7,68],"learning":[8],"strategy":[9],"for":[10,53,61],"training":[11,88],"large-scale":[12,178],"Recommender":[13],"Systems":[14],"(RS)":[15],"over":[16,36,78,100,124],"implicit":[17],"feedback":[18],"mainly":[19,104],"in":[20,86,142],"the":[21,29,65,79,82,87,116,125,133,143,146,151,154,159,165,181,184,190],"form":[22],"of":[23,31,38,45,67,81,84,98,118,127,161,183],"clicks.":[24],"Our":[25],"approach":[26],"relies":[27],"on":[28,176],"minimization":[30],"pairwise":[33],"ranking":[34,147,196],"loss":[35,148,155],"blocks":[37,69,85],"consecutive":[39],"items":[40,47,128],"constituted":[41],"by":[42,49,164],"sequence":[44,160],"non-clicked":[46],"followed":[48],"clicked":[51],"one":[52],"each":[54],"user.":[55],"Parameter":[56],"updates":[57],"are":[58,130],"discarded":[59],"if":[60],"given":[63,75],"user":[64,111],"number":[66,83,97],"is":[70,91,149,171],"below":[71],"or":[72,108],"above":[73],"some":[74,101],"thresholds":[76],"estimated":[77],"distribution":[80,126],"set.":[89],"This":[90],"to":[92,106,132,158,189],"prevent":[93],"from":[94],"an":[95],"abnormal":[96],"clicks":[99],"targeted":[102],"items,":[103],"due":[105],"bots;":[107],"very":[109],"few":[110],"interactions.":[112],"Both":[113],"scenarios":[114],"affect":[115],"decision":[117],"RS":[119],"and":[120,168,198],"imply":[121],"shift":[123],"that":[129,141],"shown":[131],"users.":[134],"We":[135],"provide":[136],"theoretical":[138],"analysis":[139],"showing":[140],"case":[144],"where":[145],"convex,":[150],"deviation":[152],"between":[153],"with":[156,187],"respect":[157,188],"weights":[162],"found":[163],"proposed":[166,185],"algorithm":[167,186],"its":[169],"minimum":[170],"bounded.":[172],"Furthermore,":[173],"experimental":[174],"results":[175],"five":[177],"collections":[179],"demonstrate":[180],"efficiency":[182],"state-of-the-art":[191],"approaches,":[192],"both":[193],"regarding":[194],"different":[195],"measures":[197],"computation":[199],"time.":[200]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
