{"id":"https://openalex.org/W3153108722","doi":"https://doi.org/10.1145/3404835.3462843","title":"Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks","display_name":"Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3153108722","doi":"https://doi.org/10.1145/3404835.3462843","mag":"3153108722"},"language":"en","primary_location":{"id":"doi:10.1145/3404835.3462843","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3404835.3462843","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3404835.3462843","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3404835.3462843","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101880191","display_name":"Yongchun Zhu","orcid":"https://orcid.org/0000-0002-7096-3190"},"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"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongchun Zhu","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, &amp; Tencent, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, &amp; Tencent, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038","https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101577090","display_name":"Ruobing Xie","orcid":"https://orcid.org/0000-0003-3170-5647"},"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":"Ruobing Xie","raw_affiliation_strings":["Tencent, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent, Beijing, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041921496","display_name":"Fuzhen Zhuang","orcid":"https://orcid.org/0000-0001-9170-7009"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuzhen Zhuang","raw_affiliation_strings":["Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025388866","display_name":"Kaikai Ge","orcid":"https://orcid.org/0009-0006-0554-0761"},"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":"Kaikai Ge","raw_affiliation_strings":["Tencent, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent, Beijing, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046835504","display_name":"Ying Sun","orcid":"https://orcid.org/0000-0002-4763-6060"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Sun","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences &amp; University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences &amp; University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100437332","display_name":"Xu Zhang","orcid":"https://orcid.org/0009-0006-5685-316X"},"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":"Xu Zhang","raw_affiliation_strings":["Tencent, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent, Beijing, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023086553","display_name":"Leyu Lin","orcid":"https://orcid.org/0000-0001-5471-500X"},"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":"Leyu Lin","raw_affiliation_strings":["Tencent, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent, Beijing, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056924576","display_name":"Juan Cao","orcid":"https://orcid.org/0000-0002-7857-1546"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Cao","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences &amp; University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences &amp; University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":25.1973,"has_fulltext":true,"cited_by_count":122,"citation_normalized_percentile":{"value":0.99626349,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1167","last_page":"1176"},"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/T10028","display_name":"Topic Modeling","score":0.9563999772071838,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9541000127792358,"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/embedding","display_name":"Embedding","score":0.845366358757019},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7599112391471863},{"id":"https://openalex.org/keywords/cold-start","display_name":"Cold start (automotive)","score":0.6819558143615723},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.6116067171096802},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5587107539176941},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5043586492538452},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43981266021728516},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.41881251335144043},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3767393231391907},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35226577520370483},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2823250889778137},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11249494552612305}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.845366358757019},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7599112391471863},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.6819558143615723},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.6116067171096802},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5587107539176941},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5043586492538452},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43981266021728516},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.41881251335144043},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3767393231391907},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35226577520370483},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2823250889778137},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11249494552612305},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3404835.3462843","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3404835.3462843","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3404835.3462843","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2105.04790","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.04790","pdf_url":"https://arxiv.org/pdf/2105.04790","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:repository.hkust.edu.hk:1783.1-121296","is_oa":false,"landing_page_url":"http://www.scopus.com/record/display.url?eid=2-s2.0-85108516942&origin=inward","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"doi:10.1145/3404835.3462843","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3404835.3462843","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3404835.3462843","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G383754086","display_name":null,"funder_award_id":"2018YFB1004300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G461350835","display_name":null,"funder_award_id":"U1836206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5372072380","display_name":null,"funder_award_id":"U1811461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6962744610","display_name":null,"funder_award_id":"61773361","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3153108722.pdf","grobid_xml":"https://content.openalex.org/works/W3153108722.grobid-xml"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2006203643","https://openalex.org/W2016589492","https://openalex.org/W2042281163","https://openalex.org/W2054141820","https://openalex.org/W2140310134","https://openalex.org/W2145680191","https://openalex.org/W2158698691","https://openalex.org/W2171279286","https://openalex.org/W2295739661","https://openalex.org/W2406862418","https://openalex.org/W2475334473","https://openalex.org/W2512971201","https://openalex.org/W2548570154","https://openalex.org/W2601450892","https://openalex.org/W2604662567","https://openalex.org/W2604763608","https://openalex.org/W2723293840","https://openalex.org/W2740098507","https://openalex.org/W2740605635","https://openalex.org/W2753433947","https://openalex.org/W2753686090","https://openalex.org/W2783272285","https://openalex.org/W2792839191","https://openalex.org/W2793768763","https://openalex.org/W2798454267","https://openalex.org/W2808310571","https://openalex.org/W2904596241","https://openalex.org/W2905461678","https://openalex.org/W2941014662","https://openalex.org/W2945973131","https://openalex.org/W2950260856","https://openalex.org/W2950416221","https://openalex.org/W2951066642","https://openalex.org/W2951775809","https://openalex.org/W2955624969","https://openalex.org/W2963323306","https://openalex.org/W2963522561","https://openalex.org/W2964121744","https://openalex.org/W2964182926","https://openalex.org/W2964316331","https://openalex.org/W2964983698","https://openalex.org/W2965170902","https://openalex.org/W2965744319","https://openalex.org/W2997130580","https://openalex.org/W3012650537","https://openalex.org/W3028201915","https://openalex.org/W3034345128","https://openalex.org/W3034566015","https://openalex.org/W3037856073","https://openalex.org/W3040593772","https://openalex.org/W3043239945","https://openalex.org/W3045108742","https://openalex.org/W3081320135","https://openalex.org/W3098087397","https://openalex.org/W3100480425","https://openalex.org/W3102099102","https://openalex.org/W3104030692","https://openalex.org/W3105036728","https://openalex.org/W3170187879","https://openalex.org/W3176084789","https://openalex.org/W4285827226","https://openalex.org/W4287691318","https://openalex.org/W4288080156","https://openalex.org/W4288356697","https://openalex.org/W4299286960","https://openalex.org/W4310660403"],"related_works":["https://openalex.org/W2497939785","https://openalex.org/W2219931199","https://openalex.org/W2735929803","https://openalex.org/W2971083348","https://openalex.org/W3214288750","https://openalex.org/W584290403","https://openalex.org/W2786642545","https://openalex.org/W2084560547","https://openalex.org/W4315783862","https://openalex.org/W2146665816"],"abstract_inverted_index":{"Recently,":[0],"embedding":[1,12,54,60,74,82,125],"techniques":[2,13],"have":[3],"achieved":[4],"impressive":[5],"success":[6],"in":[7,100],"recommender":[8],"systems.":[9],"However,":[10,90],"the":[11,20,25,53,71,76,101,117,121,130,171,175,185,189],"are":[14],"data":[15],"demanding":[16],"and":[17,75,141,147,174,236,246],"suffer":[18],"from":[19,184],"cold-start":[21,26,102],"problem.":[22],"Especially,":[23],"for":[24,52,120,150],"item":[27,40,58,123,161],"which":[28,47,168,200],"only":[29],"has":[30,61],"limited":[31],"interactions,":[32],"it":[33],"is":[34,48,68,178,210,227],"hard":[35],"to":[36,144,180,202],"train":[37],"a":[38,49,211],"reasonable":[39],"ID":[41,45,59,73,81,124,162,206],"embedding,":[42,46],"called":[43],"cold":[44,57,72,122,160,205],"major":[50],"challenge":[51],"techniques.":[55],"The":[56,154,224,239],"two":[62,98,111,190],"main":[63],"problems:":[64],"(1)":[65,114],"A":[66],"gap":[67],"existing":[69,92,220],"between":[70],"deep":[77,221],"model.":[78],"(2)":[79,128],"Cold":[80],"would":[83],"be":[84,216],"seriously":[85],"affected":[86],"by":[87],"noisy":[88,186],"interaction.":[89],"most":[91],"methods":[93],"do":[94],"not":[95],"consider":[96],"both":[97,234],"issues":[99],"problem,":[103],"simultaneously.":[104],"To":[105],"address":[106],"these":[107],"problems,":[108],"we":[109,137,193],"adopt":[110],"key":[112],"ideas:":[113],"Speed":[115],"up":[116,204],"model":[118,172,226],"fitting":[119],"(fast":[126],"adaptation).":[127],"Alleviate":[129],"influence":[131],"of":[132],"noise.":[133],"Along":[134],"this":[135],"line,":[136],"propose":[138,194],"Meta":[139,195],"Scaling":[140],"Shifting":[142],"Networks":[143],"generate":[145],"scaling":[146,155],"shifting":[148,176],"functions":[149],"each":[151],"item,":[152],"respectively.":[153],"function":[156,177],"can":[157,169,215],"directly":[158],"transform":[159],"embeddings":[163,183],"into":[164],"warm":[165,203],"feature":[166],"space":[167],"fit":[170],"better,":[173],"able":[179],"produce":[181],"stable":[182],"embeddings.":[187,207],"With":[188],"meta":[191],"networks,":[192],"Warm":[196],"Up":[197],"Framework":[198],"(MWUF)":[199],"learns":[201],"Moreover,":[208],"MWUF":[209],"general":[212],"framework":[213],"that":[214],"applied":[217],"upon":[218],"various":[219],"recommendation":[222,235],"models.":[223],"proposed":[225],"evaluated":[228],"on":[229],"three":[230],"popular":[231],"benchmarks,":[232],"including":[233],"advertising":[237],"datasets.":[238],"evaluation":[240],"results":[241],"demonstrate":[242],"its":[243],"superior":[244],"performance":[245],"compatibility.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":27},{"year":2024,"cited_by_count":31},{"year":2023,"cited_by_count":38},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2021-04-26T00:00:00"}
