{"id":"https://openalex.org/W4313828922","doi":"https://doi.org/10.1145/3579354","title":"Learning to Retrieve User Behaviors for Click-through Rate Estimation","display_name":"Learning to Retrieve User Behaviors for Click-through Rate Estimation","publication_year":2023,"publication_date":"2023-01-09","ids":{"openalex":"https://openalex.org/W4313828922","doi":"https://doi.org/10.1145/3579354"},"language":"en","primary_location":{"id":"doi:10.1145/3579354","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3579354","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-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/A5060200431","display_name":"Jiarui Qin","orcid":"https://orcid.org/0000-0002-9064-885X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiarui Qin","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090720315","display_name":"Weinan Zhang","orcid":"https://orcid.org/0000-0002-0127-2425"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weinan Zhang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101582349","display_name":"Rong Su","orcid":null},"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":"Rong Su","raw_affiliation_strings":["Huawei Noah\u2019s Ark Lab, Shenzhen, China","Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah\u2019s Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]},{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100337382","display_name":"Zhirong Liu","orcid":"https://orcid.org/0000-0003-3358-0753"},"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":"Zhirong Liu","raw_affiliation_strings":["Huawei Noah\u2019s Ark Lab, Shenzhen, China","Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah\u2019s Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]},{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101500385","display_name":"Weiwen Liu","orcid":"https://orcid.org/0000-0002-9148-3997"},"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":"Weiwen Liu","raw_affiliation_strings":["Huawei Noah\u2019s Ark Lab, Shenzhen, China","Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah\u2019s Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]},{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055014228","display_name":"Guangpeng Zhao","orcid":null},"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":"Guangpeng Zhao","raw_affiliation_strings":["Huawei Consumer Cloud Service Department, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Consumer Cloud Service Department, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348640","display_name":"Hao Li","orcid":"https://orcid.org/0009-0003-8261-5956"},"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":"Hao Li","raw_affiliation_strings":["Huawei Consumer Cloud Service Department, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Consumer Cloud Service Department, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"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\u2019s Ark Lab, Shenzhen, China","Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah\u2019s Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]},{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083350101","display_name":"Xiuqiang He","orcid":"https://orcid.org/0000-0002-4115-8205"},"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":"Xiuqiang He","raw_affiliation_strings":["Huawei Noah\u2019s Ark Lab, Shenzhen, China","Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah\u2019s Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]},{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001571390","display_name":"Yong Yu","orcid":"https://orcid.org/0000-0003-0281-8271"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Yu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5060200431"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":8.2197,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.97441032,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"41","issue":"4","first_page":"1","last_page":"31"},"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/T11478","display_name":"Caching and Content Delivery","score":0.9988999962806702,"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":0.98580002784729,"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":0.8200002312660217},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6912431716918945},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.6799960136413574},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6503503918647766},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6325302124023438},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5416098833084106},{"id":"https://openalex.org/keywords/click-through-rate","display_name":"Click-through rate","score":0.5359663963317871},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5295349359512329},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4748290479183197},{"id":"https://openalex.org/keywords/user-modeling","display_name":"User modeling","score":0.4297778010368347},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41464585065841675},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3997063934803009},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39078229665756226},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3294892907142639},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.2547433376312256},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.22638019919395447},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.14333176612854004}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8200002312660217},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6912431716918945},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.6799960136413574},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6503503918647766},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6325302124023438},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5416098833084106},{"id":"https://openalex.org/C115174607","wikidata":"https://www.wikidata.org/wiki/Q1100934","display_name":"Click-through rate","level":2,"score":0.5359663963317871},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5295349359512329},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4748290479183197},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.4297778010368347},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41464585065841675},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3997063934803009},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39078229665756226},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3294892907142639},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.2547433376312256},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.22638019919395447},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.14333176612854004},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3579354","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3579354","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W2012833704","https://openalex.org/W2119717200","https://openalex.org/W2288597091","https://openalex.org/W2475334473","https://openalex.org/W2509235963","https://openalex.org/W2518164973","https://openalex.org/W2548570154","https://openalex.org/W2604662567","https://openalex.org/W2626454364","https://openalex.org/W2723293840","https://openalex.org/W2783272285","https://openalex.org/W2793768763","https://openalex.org/W2892821876","https://openalex.org/W2903268415","https://openalex.org/W2911760887","https://openalex.org/W2942947041","https://openalex.org/W2946044191","https://openalex.org/W2950416221","https://openalex.org/W2962745591","https://openalex.org/W2963367478","https://openalex.org/W2963669159","https://openalex.org/W2963924287","https://openalex.org/W2964052347","https://openalex.org/W2964182926","https://openalex.org/W2964325980","https://openalex.org/W2964926209","https://openalex.org/W2979450518","https://openalex.org/W2985880542","https://openalex.org/W3032044946","https://openalex.org/W3034566015","https://openalex.org/W3085139254","https://openalex.org/W3098024612","https://openalex.org/W3100199015","https://openalex.org/W3101707147","https://openalex.org/W3104030692","https://openalex.org/W3104439459","https://openalex.org/W3104789011","https://openalex.org/W3105595718","https://openalex.org/W3105879597","https://openalex.org/W3156978171","https://openalex.org/W3170163874","https://openalex.org/W4221153281","https://openalex.org/W4246297465","https://openalex.org/W4250331344","https://openalex.org/W4255466416","https://openalex.org/W4299286960","https://openalex.org/W6692935382","https://openalex.org/W6739382815","https://openalex.org/W6754159242","https://openalex.org/W6783267081","https://openalex.org/W6785869379"],"related_works":["https://openalex.org/W2392634181","https://openalex.org/W1485340534","https://openalex.org/W4385242450","https://openalex.org/W3042298328","https://openalex.org/W1623227340","https://openalex.org/W3153633758","https://openalex.org/W1980607706","https://openalex.org/W4232222006","https://openalex.org/W2166738765","https://openalex.org/W2815464439"],"abstract_inverted_index":{"Click-through":[0],"rate":[1],"(CTR)":[2],"estimation":[3,31,226],"plays":[4],"a":[5,38,67,185,230,268],"crucial":[6],"role":[7],"in":[8,81,86,312,323],"modern":[9],"online":[10,46,115,314],"personalization":[11],"services.":[12],"It":[13],"is":[14,92,172,256,273],"essential":[15],"to":[16,26,53,66,94,137,174,193,215,223],"capture":[17,138],"users\u2019":[18],"drifting":[19],"interests":[20],"by":[21,100],"modeling":[22],"sequential":[23,70],"user":[24,55,98,165,220],"behaviors":[25,84,221,234],"build":[27],"an":[28],"accurate":[29],"CTR":[30,50,135,195,225],"model.":[32,196],"However,":[33,90],"as":[34,73,190],"the":[35,45,48,60,82,96,108,123,150,163,176,191,194,202,217,237,276,288,293,301,313,320,324],"users":[36],"accumulate":[37],"large":[39],"amount":[40],"of":[41,155,188,233,240,254,266,292,309],"behavioral":[42],"data":[43,152],"on":[44,282],"platforms,":[47],"current":[49,277],"models":[51,136],"have":[52],"truncate":[54],"behavior":[56,166],"sequences":[57,112,126,244],"and":[58,118,248,261,290,317],"utilize":[59],"most":[61,218],"recent":[62,83],"behaviors,":[63],"which":[64,211,272],"leads":[65],"problem":[68],"that":[69,257],"patterns":[71,140],"such":[72],"periodicity":[74],"or":[75],"long-term":[76],"dependency":[77],"are":[78],"not":[79],"contained":[80],"but":[85],"far":[87],"back":[88],"history.":[89],"it":[91,103,132,148,171,189,258,306],"non-trivial":[93],"model":[95],"entire":[97,164,177],"sequence":[99,167],"directly":[101],"using":[102],"for":[104,134],"two":[105,238],"reasons.":[106],"Firstly,":[107],"very":[109,124,242],"long":[110,125,243],"input":[111,151,175,192],"will":[113],"make":[114],"inference":[116,246],"time":[117],"system":[119],"load":[120],"infeasible.":[121],"Secondly,":[122],"contain":[127],"much":[128,169],"noise,":[129,170],"thus":[130],"making":[131],"difficult":[133],"useful":[139],"effectively.":[141],"To":[142],"tackle":[143],"this":[144,198],"issue,":[145],"we":[146,180,200],"consider":[147],"from":[149,275],"perspective":[153],"instead":[154,265],"designing":[156],"more":[157],"sophisticated":[158],"yet":[159],"complex":[160],"models.":[161],"As":[162],"contains":[168],"unnecessary":[173],"sequence.":[178],"Instead,":[179],"could":[181,235],"just":[182],"retrieve":[183,216],"only":[184,229],"small":[186,231],"part":[187],"In":[197],"article,":[199],"propose":[201],"U":[203],"ser":[204],"B":[205],"ehavior":[206],"R":[207],"etrieval":[208],"(UBR)":[209],"framework":[210],"aims":[212],"at":[213,300],"learning":[214],"informative":[219],"according":[222],"each":[224],"request.":[227],"Retrieving":[228],"set":[232],"alleviate":[236],"problems":[239],"utilizing":[241,267],"(i.e.,":[245],"efficiency":[247],"noisy":[249],"input).":[250],"The":[251],"distinguishing":[252],"property":[253],"UBR":[255,294,299],"supports":[259],"arbitrary":[260],"learnable":[262],"retrieval":[263],"functions":[264],"fixed":[269],"pre-defined":[270],"function,":[271],"different":[274],"retrieval-based":[278],"methods.":[279],"Offline":[280],"evaluations":[281],"three":[283],"large-scale":[284],"real-world":[285],"datasets":[286],"demonstrate":[287],"superiority":[289],"efficacy":[291],"framework.":[295],"We":[296],"further":[297],"deploy":[298],"Huawei":[302,325],"App":[303,326],"Store,":[304],"where":[305],"achieves":[307],"6.6%":[308],"eCPM":[310],"gain":[311],"A/B":[315],"test":[316],"now":[318],"serves":[319],"main":[321],"traffic":[322],"Store":[327],"advertising":[328],"scenario.":[329]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
