{"id":"https://openalex.org/W3166439894","doi":"https://doi.org/10.1145/3447548.3467220","title":"Learning Elastic Embeddings for Customizing On-Device Recommenders","display_name":"Learning Elastic Embeddings for Customizing On-Device Recommenders","publication_year":2021,"publication_date":"2021-08-12","ids":{"openalex":"https://openalex.org/W3166439894","doi":"https://doi.org/10.1145/3447548.3467220","mag":"3166439894"},"language":"en","primary_location":{"id":"doi:10.1145/3447548.3467220","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447548.3467220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery &amp; Data Mining","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/A5100461265","display_name":"Tong Chen","orcid":"https://orcid.org/0000-0001-7269-146X"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Tong Chen","raw_affiliation_strings":["The University of Queensland, Brisbane, Australia"],"affiliations":[{"raw_affiliation_string":"The University of Queensland, Brisbane, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088492734","display_name":"Hongzhi Yin","orcid":"https://orcid.org/0000-0003-1395-261X"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hongzhi Yin","raw_affiliation_strings":["The University of Queensland, Brisbane, Australia"],"affiliations":[{"raw_affiliation_string":"The University of Queensland, Brisbane, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004130985","display_name":"Yujia Zheng","orcid":"https://orcid.org/0009-0003-5225-6366"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yujia Zheng","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078170935","display_name":"Zi Huang","orcid":"https://orcid.org/0000-0002-9738-4949"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zi Huang","raw_affiliation_strings":["The University of Queensland, Brisbane, Australia"],"affiliations":[{"raw_affiliation_string":"The University of Queensland, Brisbane, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078232760","display_name":"Yang Wang","orcid":"https://orcid.org/0000-0002-7769-2047"},"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":"Yang 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"]}]},{"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":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100461265"],"corresponding_institution_ids":["https://openalex.org/I165143802"],"apc_list":null,"apc_paid":null,"fwci":9.9147,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.9807601,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"138","last_page":"147"},"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/T11478","display_name":"Caching and Content Delivery","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9872999787330627,"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/computer-science","display_name":"Computer science","score":0.8354877233505249},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7602183818817139},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5762518048286438},{"id":"https://openalex.org/keywords/submodular-set-function","display_name":"Submodular set function","score":0.504927933216095},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.45760512351989746},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.4499281346797943},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.43865954875946045},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.4342300295829773},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3684154748916626},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3645665645599365},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30291157960891724},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.30246996879577637},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11040374636650085}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8354877233505249},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7602183818817139},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5762518048286438},{"id":"https://openalex.org/C178621042","wikidata":"https://www.wikidata.org/wiki/Q7631710","display_name":"Submodular set function","level":2,"score":0.504927933216095},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.45760512351989746},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.4499281346797943},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.43865954875946045},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.4342300295829773},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3684154748916626},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3645665645599365},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30291157960891724},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.30246996879577637},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11040374636650085},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3447548.3467220","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447548.3467220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.5299999713897705}],"awards":[{"id":"https://openalex.org/G2673665048","display_name":null,"funder_award_id":"DP190101985,IC200100022,CE200100025","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2009779426","https://openalex.org/W2059851891","https://openalex.org/W2137245235","https://openalex.org/W2294501066","https://openalex.org/W2295739661","https://openalex.org/W2336920772","https://openalex.org/W2416799949","https://openalex.org/W2472098517","https://openalex.org/W2498566050","https://openalex.org/W2574772032","https://openalex.org/W2605350416","https://openalex.org/W2742528903","https://openalex.org/W2771679022","https://openalex.org/W2783792211","https://openalex.org/W2962790997","https://openalex.org/W2963207245","https://openalex.org/W2965658867","https://openalex.org/W2972269283","https://openalex.org/W2986943082","https://openalex.org/W2998167534","https://openalex.org/W3034552531","https://openalex.org/W3034844787","https://openalex.org/W3041360407","https://openalex.org/W3045200674","https://openalex.org/W3081362488","https://openalex.org/W3088920160","https://openalex.org/W3104506006","https://openalex.org/W3116990235","https://openalex.org/W6680451568"],"related_works":["https://openalex.org/W4386603768","https://openalex.org/W2950475743","https://openalex.org/W2886711096","https://openalex.org/W2750384547","https://openalex.org/W4380078352","https://openalex.org/W3046591097","https://openalex.org/W4389249638","https://openalex.org/W2733410219","https://openalex.org/W2734358244","https://openalex.org/W3159860373"],"abstract_inverted_index":{"In":[0,98],"today's":[1],"context,":[2],"deploying":[3],"data-driven":[4],"services":[5],"like":[6],"recommendation":[7,106,163],"on":[8,214],"edge":[9],"devices":[10,53],"instead":[11],"of":[12,44,52,141,144,174,202,221],"cloud":[13],"servers":[14],"becomes":[15],"increasingly":[16],"attractive":[17],"due":[18],"to":[19,35,83,86,93,113,127],"privacy":[20],"and":[21,54,74],"network":[22],"latency":[23],"concerns.":[24],"A":[25],"common":[26],"practice":[27],"in":[28,71],"building":[29],"compact":[30],"on-device":[31,210],"recommender":[32,61,112],"systems":[33,62],"is":[34,126,138,196],"compress":[36],"their":[37,55],"embeddings":[38,130,168,204],"which":[39],"are":[40,63,148],"normally":[41],"the":[42,49,88,139,172,218],"cause":[43],"excessive":[45],"parameterization.":[46],"However,":[47],"despite":[48],"vast":[50],"variety":[51],"associated":[56],"memory":[57,69,96,119,207,225],"constraints,":[58],"existing":[59],"memory-efficient":[60],"only":[64],"specialized":[65],"for":[66,116,131,199,209],"a":[67,79,94,103,110,142,181,190],"fixed":[68],"budget":[70],"every":[72],"design":[73],"training":[75],"life":[76],"cycle,":[77],"where":[78,134],"new":[80],"model":[81],"has":[82],"be":[84,114],"retrained":[85],"obtain":[87],"optimal":[89],"performance":[90,191,220],"while":[91],"adapting":[92],"smaller/larger":[95],"budget.":[97],"this":[99],"paper,":[100],"we":[101,157],"present":[102],"novel":[104],"lightweight":[105],"paradigm":[107],"that":[108,147],"allows":[109],"well-trained":[111],"customized":[115],"arbitrary":[117],"device-specific":[118],"constraints":[120],"without":[121],"retraining.":[122],"The":[123],"core":[124],"idea":[125],"compose":[128],"elastic":[129,136,167,203],"each":[132],"item,":[133],"an":[135,152,159],"embedding":[137,145,177,187],"concatenation":[140],"set":[143],"blocks":[146],"carefully":[149],"chosen":[150],"by":[151],"automated":[153],"search":[154,194],"function.":[155],"Correspondingly,":[156],"propose":[158],"innovative":[160],"approach,":[161],"namely":[162],"with":[164],"universally":[165],"learned":[166],"(RULE).":[169],"To":[170],"ensure":[171],"expressiveness":[173],"all":[175],"candidate":[176],"blocks,":[178],"RULE":[179,222],"enforces":[180],"diversity-driven":[182],"regularization":[183],"when":[184],"learning":[185],"different":[186],"blocks.":[188],"Then,":[189],"estimator-based":[192],"evolutionary":[193],"function":[195],"designed,":[197],"allowing":[198],"efficient":[200],"specialization":[201],"under":[205,223],"any":[206],"constraint":[208],"recommendation.":[211],"Extensive":[212],"experiments":[213],"real-world":[215],"datasets":[216],"reveal":[217],"superior":[219],"tight":[224],"budgets.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
