{"id":"https://openalex.org/W2800447677","doi":"https://doi.org/10.1007/s10994-018-5705-5","title":"A scalable preference model for autonomous decision-making","display_name":"A scalable preference model for autonomous decision-making","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2800447677","doi":"https://doi.org/10.1007/s10994-018-5705-5","mag":"2800447677"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-018-5705-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-018-5705-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-018-5705-5.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10994-018-5705-5.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069761058","display_name":"Markus Peters","orcid":"https://orcid.org/0000-0001-7500-5672"},"institutions":[{"id":"https://openalex.org/I913958620","display_name":"Erasmus University Rotterdam","ror":"https://ror.org/057w15z03","country_code":"NL","type":"education","lineage":["https://openalex.org/I913958620"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Markus Peters","raw_affiliation_strings":["Rotterdam School of Management, Erasmus University, Rotterdam, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rotterdam School of Management, Erasmus University, Rotterdam, The Netherlands","institution_ids":["https://openalex.org/I913958620"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066579957","display_name":"Maytal Saar\u2010Tsechansky","orcid":"https://orcid.org/0000-0002-2400-3762"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maytal Saar-Tsechansky","raw_affiliation_strings":["McCombs School of Business, University of Texas at Austin, Austin, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"McCombs School of Business, University of Texas at Austin, Austin, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042852488","display_name":"Wolfgang Ketter","orcid":"https://orcid.org/0000-0001-9008-142X"},"institutions":[{"id":"https://openalex.org/I180923762","display_name":"University of Cologne","ror":"https://ror.org/00rcxh774","country_code":"DE","type":"education","lineage":["https://openalex.org/I180923762"]},{"id":"https://openalex.org/I913958620","display_name":"Erasmus University Rotterdam","ror":"https://ror.org/057w15z03","country_code":"NL","type":"education","lineage":["https://openalex.org/I913958620"]}],"countries":["DE","NL"],"is_corresponding":false,"raw_author_name":"Wolfgang Ketter","raw_affiliation_strings":["Faculty of Management, Economics and Social Sciences, University of Cologne, Cologne, Germany","Rotterdam School of Management, Erasmus University, Rotterdam, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Management, Economics and Social Sciences, University of Cologne, Cologne, Germany","institution_ids":["https://openalex.org/I180923762"]},{"raw_affiliation_string":"Rotterdam School of Management, Erasmus University, Rotterdam, The Netherlands","institution_ids":["https://openalex.org/I913958620"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090272445","display_name":"Sinead A. Williamson","orcid":"https://orcid.org/0000-0002-0572-0045"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sinead A. Williamson","raw_affiliation_strings":["McCombs School of Business, University of Texas at Austin, Austin, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"McCombs School of Business, University of Texas at Austin, Austin, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Perry Groot","orcid":null},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Perry Groot","raw_affiliation_strings":["ICIS, Radboud University Nijmegen, Nijmegen, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICIS, Radboud University Nijmegen, Nijmegen, The Netherlands","institution_ids":["https://openalex.org/I145872427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015444349","display_name":"Tom Heskes","orcid":"https://orcid.org/0000-0002-3398-5235"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Tom Heskes","raw_affiliation_strings":["ICIS, Radboud University Nijmegen, Nijmegen, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICIS, Radboud University Nijmegen, Nijmegen, The Netherlands","institution_ids":["https://openalex.org/I145872427"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5069761058"],"corresponding_institution_ids":["https://openalex.org/I913958620"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.169,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.58395668,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"107","issue":"6","first_page":"1039","last_page":"1068"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9995999932289124,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10841","display_name":"Economic and Environmental Valuation","score":0.9782000184059143,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7486435174942017},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7355368137359619},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6278175115585327},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6058917045593262},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5915006399154663},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5788269639015198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5692024230957031},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5232892632484436},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5192399024963379},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5060119032859802},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.46684014797210693},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4249628186225891},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32410502433776855},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.2641034722328186},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09848332405090332}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7486435174942017},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7355368137359619},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6278175115585327},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6058917045593262},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5915006399154663},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5788269639015198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5692024230957031},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5232892632484436},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5192399024963379},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5060119032859802},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.46684014797210693},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4249628186225891},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32410502433776855},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.2641034722328186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09848332405090332},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1007/s10994-018-5705-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-018-5705-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-018-5705-5.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},{"id":"pmh:eur:oai:pure.eur.nl:publications/ab8301af-58a4-49ea-9c28-ed717d64302f","is_oa":true,"landing_page_url":"https://pure.eur.nl/en/publications/ab8301af-58a4-49ea-9c28-ed717d64302f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning, 107(6), 1039 - 1068. Springer Netherlands","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:eur:oai:repub.eur.nl:106185","is_oa":true,"landing_page_url":"http://hdl.handle.net/1765/106185","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:repository.ubn.ru.nl:2066/191684","is_oa":false,"landing_page_url":"http://hdl.handle.net/2066/191684","pdf_url":null,"source":{"id":"https://openalex.org/S4306401067","display_name":"Radboud Repository (Radboud University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I145872427","host_organization_name":"Radboud University Nijmegen","host_organization_lineage":["https://openalex.org/I145872427"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning, 107, 6, pp. 1039-1068","raw_type":"Article / Letter to editor"},{"id":"pmh:oai:repub.eur.nl:106185","is_oa":true,"landing_page_url":"http://repub.eur.nl/pub/106185","pdf_url":null,"source":{"id":"https://openalex.org/S4306400997","display_name":"RePub (Erasmus University, Rotterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I913958620","host_organization_name":"Erasmus University Rotterdam","host_organization_lineage":["https://openalex.org/I913958620"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning, pp. 1-30","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s10994-018-5705-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-018-5705-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-018-5705-5.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7900000214576721,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G3998228007","display_name":"BIGDATA: F: DKA: Collaborative Research: Theory and Algorithms for Parallel Probabilistic Inference with Big Data, via Big Model, in Realistic Distributed Computing Environments","funder_award_id":"1447721","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4563035596","display_name":null,"funder_award_id":"IIS-1447721","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2800447677.pdf","grobid_xml":"https://content.openalex.org/works/W2800447677.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W81091996","https://openalex.org/W94807864","https://openalex.org/W123430343","https://openalex.org/W136174036","https://openalex.org/W248926557","https://openalex.org/W891400952","https://openalex.org/W1510971620","https://openalex.org/W1521399875","https://openalex.org/W1571870753","https://openalex.org/W1663973292","https://openalex.org/W1738124305","https://openalex.org/W1746819321","https://openalex.org/W1965520710","https://openalex.org/W1966271889","https://openalex.org/W1999943693","https://openalex.org/W2013784666","https://openalex.org/W2033442452","https://openalex.org/W2034059032","https://openalex.org/W2045248509","https://openalex.org/W2047375989","https://openalex.org/W2049633694","https://openalex.org/W2060493953","https://openalex.org/W2067284330","https://openalex.org/W2070328828","https://openalex.org/W2071500925","https://openalex.org/W2096503632","https://openalex.org/W2099994229","https://openalex.org/W2100267317","https://openalex.org/W2106190758","https://openalex.org/W2106568252","https://openalex.org/W2111322878","https://openalex.org/W2121499119","https://openalex.org/W2127201883","https://openalex.org/W2134477639","https://openalex.org/W2150905308","https://openalex.org/W2152081677","https://openalex.org/W2153718513","https://openalex.org/W2167770488","https://openalex.org/W2170952786","https://openalex.org/W2233729533","https://openalex.org/W2262420275","https://openalex.org/W2334018742","https://openalex.org/W2395728135","https://openalex.org/W2594639291","https://openalex.org/W2595142274","https://openalex.org/W2612972698","https://openalex.org/W2739904528","https://openalex.org/W2763110165","https://openalex.org/W2912748147","https://openalex.org/W3004157836","https://openalex.org/W3112138688","https://openalex.org/W3122078363","https://openalex.org/W4211049957","https://openalex.org/W4230646247","https://openalex.org/W4239146293","https://openalex.org/W6600569696","https://openalex.org/W6629804754","https://openalex.org/W6680220816","https://openalex.org/W6684555489","https://openalex.org/W6734797129","https://openalex.org/W7038339957"],"related_works":["https://openalex.org/W2562263695","https://openalex.org/W2135187896","https://openalex.org/W2147201983","https://openalex.org/W2015518264","https://openalex.org/W2795035211","https://openalex.org/W2160108762","https://openalex.org/W2164129707","https://openalex.org/W4292122269","https://openalex.org/W2949366006","https://openalex.org/W2407375987"],"abstract_inverted_index":{"Emerging":[0],"domains":[1],"such":[2],"as":[3,88],"smart":[4],"electric":[5],"grids":[6],"require":[7],"decisions":[8],"to":[9,30,90,114],"be":[10],"made":[11],"autonomously,":[12],"based":[13],"on":[14],"the":[15,28,40,43],"observed":[16],"behaviors":[17],"of":[18,21,42,116,118],"large":[19],"numbers":[20],"connected":[22],"consumers.":[23],"Existing":[24],"approaches":[25],"either":[26],"lack":[27],"flexibility":[29],"capture":[31],"nuanced,":[32],"individualized":[33],"preference":[34,48,71],"profiles,":[35],"or":[36],"scale":[37],"poorly":[38],"with":[39],"size":[41],"dataset.":[44],"We":[45],"propose":[46],"a":[47,64],"model":[49,72,79,108],"that":[50,62],"combines":[51],"flexible":[52],"Bayesian":[53],"nonparametric":[54],"priors\u2014providing":[55],"state-of-the-art":[56],"predictive":[57],"power\u2014with":[58],"well-justified":[59],"structural":[60],"assumptions":[61],"allow":[63],"scalable":[65,70,113],"implementation.":[66],"The":[67],"Gaussian":[68],"process":[69],"via":[73],"Kronecker":[74],"factorization":[75],"(":[76],"GaSPK":[77],")":[78],"provides":[80],"accurate":[81],"choice":[82,95],"predictions":[83],"and":[84,112],"principled":[85],"uncertainty":[86],"estimates":[87],"input":[89],"decision-making":[91],"tasks.":[92],"In":[93],"consumer":[94],"settings":[96],"where":[97],"alternatives":[98],"are":[99],"described":[100],"by":[101],"few":[102],"key":[103],"attributes,":[104],"inference":[105],"in":[106],"our":[107],"is":[109],"highly":[110],"efficient":[111],"tens":[115],"thousands":[117],"choices.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2025-10-10T00:00:00"}
