{"id":"https://openalex.org/W4385890263","doi":"https://doi.org/10.1145/3583780.3615135","title":"Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System","display_name":"Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4385890263","doi":"https://doi.org/10.1145/3583780.3615135"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3615135","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2308.07760","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079956921","display_name":"Bowei He","orcid":"https://orcid.org/0000-0002-0360-2950"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Bowei He","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102854756","display_name":"Xu He","orcid":"https://orcid.org/0000-0002-7700-2341"},"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":"Xu He","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102891082","display_name":"Renrui Zhang","orcid":"https://orcid.org/0000-0003-4503-5277"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Renrui Zhang","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058247332","display_name":"Yingxue Zhang","orcid":"https://orcid.org/0000-0001-9871-4682"},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yingxue Zhang","raw_affiliation_strings":["Huawei Noah's Ark Lab Montreal, Montreal, PQ, Canada"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab Montreal, Montreal, PQ, Canada","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054330014","display_name":"Ruiming Tang","orcid":"https://orcid.org/0000-0002-9224-2431"},"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":"Ruiming Tang","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100410908","display_name":"Chen Ma","orcid":"https://orcid.org/0000-0001-7933-9813"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chen Ma","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5079956921"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":5.8891,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.96316743,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"741","last_page":"750"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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":0.9879999756813049,"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/regret","display_name":"Regret","score":0.8793767690658569},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8708412647247314},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.8224667310714722},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7592030763626099},{"id":"https://openalex.org/keywords/sublinear-function","display_name":"Sublinear function","score":0.5776515007019043},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4926460385322571},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.483267605304718},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4499663710594177},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3477979600429535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25823667645454407},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.24974608421325684},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24908480048179626},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14862272143363953},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.10306522250175476}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.8793767690658569},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8708412647247314},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.8224667310714722},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7592030763626099},{"id":"https://openalex.org/C117160843","wikidata":"https://www.wikidata.org/wiki/Q338652","display_name":"Sublinear function","level":2,"score":0.5776515007019043},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4926460385322571},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.483267605304718},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4499663710594177},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3477979600429535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25823667645454407},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.24974608421325684},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24908480048179626},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14862272143363953},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.10306522250175476},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3583780.3615135","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2308.07760","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.07760","pdf_url":"https://arxiv.org/pdf/2308.07760","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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2308.07760","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.07760","pdf_url":"https://arxiv.org/pdf/2308.07760","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":[],"awards":[{"id":"https://openalex.org/G553902691","display_name":null,"funder_award_id":"Start-up","funder_id":"https://openalex.org/F4320309893","funder_display_name":"City University of Hong Kong"}],"funders":[{"id":"https://openalex.org/F4320309893","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385890263.pdf","grobid_xml":"https://content.openalex.org/works/W4385890263.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W60686164","https://openalex.org/W2001575213","https://openalex.org/W2051093690","https://openalex.org/W2053834050","https://openalex.org/W2054141820","https://openalex.org/W2061737399","https://openalex.org/W2077927809","https://openalex.org/W2119717200","https://openalex.org/W2123427850","https://openalex.org/W2149660380","https://openalex.org/W2150713082","https://openalex.org/W2494566063","https://openalex.org/W2509893387","https://openalex.org/W2512971201","https://openalex.org/W2532227130","https://openalex.org/W2604433096","https://openalex.org/W2605350416","https://openalex.org/W2742340639","https://openalex.org/W2748513770","https://openalex.org/W2798369493","https://openalex.org/W2799117791","https://openalex.org/W2888429796","https://openalex.org/W2945827670","https://openalex.org/W2951104886","https://openalex.org/W2962746461","https://openalex.org/W2962847160","https://openalex.org/W2970728282","https://openalex.org/W2999905431","https://openalex.org/W3015205897","https://openalex.org/W3023259715","https://openalex.org/W3033138048","https://openalex.org/W3034465093","https://openalex.org/W3034552531","https://openalex.org/W3037657204","https://openalex.org/W3081362488","https://openalex.org/W3081410692","https://openalex.org/W3087775916","https://openalex.org/W3090716093","https://openalex.org/W3098366174","https://openalex.org/W3098649723","https://openalex.org/W3100278010","https://openalex.org/W3105195949","https://openalex.org/W3124127519","https://openalex.org/W3153106544","https://openalex.org/W3154430477","https://openalex.org/W3158146252","https://openalex.org/W3197870239","https://openalex.org/W3200797859","https://openalex.org/W4226150639","https://openalex.org/W4248257484","https://openalex.org/W4290875366","https://openalex.org/W4294977709","https://openalex.org/W4297971002","https://openalex.org/W4353115071","https://openalex.org/W4385270220","https://openalex.org/W6602610147"],"related_works":["https://openalex.org/W2971351794","https://openalex.org/W4376155396","https://openalex.org/W1947085858","https://openalex.org/W2174986909","https://openalex.org/W2527791220","https://openalex.org/W2101991911","https://openalex.org/W2155070487","https://openalex.org/W4311589891","https://openalex.org/W3123835761","https://openalex.org/W3039767703"],"abstract_inverted_index":{"With":[0],"the":[1,25,36,43,51,58,66,111,118,132,136,141,149,158],"continuous":[2],"increase":[3],"of":[4,45,53,68,94],"users":[5],"and":[6,71,86,97,116,130,166,210],"items,":[7,70],"conventional":[8],"recommender":[9,47,56],"systems":[10],"trained":[11],"on":[12,145,163,191],"static":[13,87],"datasets":[14,194],"can":[15,200],"hardly":[16],"adapt":[17],"to":[18,27,42,50,64,156,182],"changing":[19],"environments.":[20],"The":[21],"high-throughput":[22],"data":[23],"requires":[24],"model":[26,113,117],"be":[28],"updated":[29],"in":[30,74,92,169],"a":[31,124,170,176],"timely":[32],"manner":[33],"for":[34,101],"capturing":[35],"user":[37,165],"interest":[38],"dynamics,":[39],"which":[40],"leads":[41],"emergence":[44],"streaming":[46,102,112,203],"systems.":[48],"Due":[49],"prevalence":[52],"deep":[54],"learning-based":[55],"systems,":[57],"embedding":[59,88,120,138,159],"layer":[60],"is":[61,90],"widely":[62],"adopted":[63],"represent":[65],"characteristics":[67],"users,":[69],"other":[72],"features":[73],"low-dimensional":[75],"vectors.":[76],"However,":[77],"it":[78],"has":[79],"been":[80],"proved":[81],"that":[82,134,197],"setting":[83],"an":[84],"identical":[85],"size":[89,121,160],"sub-optimal":[91],"terms":[93],"recommendation":[95,189,204],"performance":[96,205],"memory":[98,208],"cost,":[99],"especially":[100],"recommendations.":[103],"To":[104],"tackle":[105],"this":[106],"problem,":[107],"we":[108,128,147,174],"first":[109],"rethink":[110],"update":[114],"process":[115],"dynamic":[119],"search":[122],"as":[123],"bandit":[125],"problem.":[126],"Then,":[127],"analyze":[129],"quantify":[131],"factors":[133],"influence":[135],"optimal":[137],"sizes":[139],"from":[140],"statistics":[142],"perspective.":[143],"Based":[144],"this,":[146],"propose":[148],"Dynamic":[150],"Embedding":[151],"Size":[152],"Search":[153],"(DESS)":[154],"method":[155],"minimize":[157],"selection":[161],"regret":[162,178],"both":[164],"item":[167],"sides":[168],"non-stationary":[171],"manner.":[172],"Theoretically,":[173],"obtain":[175],"sublinear":[177],"upper":[179],"bound":[180],"superior":[181],"previous":[183],"methods.":[184],"Empirical":[185],"results":[186],"across":[187],"two":[188],"tasks":[190],"four":[192],"public":[193],"also":[195],"demonstrate":[196],"our":[198],"approach":[199],"achieve":[201],"better":[202],"with":[206],"lower":[207],"cost":[209],"higher":[211],"time":[212],"efficiency.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":11}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
