{"id":"https://openalex.org/W4283025404","doi":"https://doi.org/10.1007/s10489-022-03769-w","title":"GRFlift: uplift modeling for multi-treatment within GMV constraints","display_name":"GRFlift: uplift modeling for multi-treatment within GMV constraints","publication_year":2022,"publication_date":"2022-06-16","ids":{"openalex":"https://openalex.org/W4283025404","doi":"https://doi.org/10.1007/s10489-022-03769-w"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-022-03769-w","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-022-03769-w","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","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/A5103205273","display_name":"Jun Yang","orcid":"https://orcid.org/0000-0002-2124-0869"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Yang","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, 201804, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, 201804, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100392243","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0003-2804-5182"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Hello Inc., Shanghai, 201199, China"],"affiliations":[{"raw_affiliation_string":"Hello Inc., Shanghai, 201199, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086425708","display_name":"Yanshen Dong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanshen Dong","raw_affiliation_strings":["Hello Inc., Shanghai, 201199, China"],"affiliations":[{"raw_affiliation_string":"Hello Inc., Shanghai, 201199, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100626709","display_name":"Xin He","orcid":"https://orcid.org/0009-0005-7351-8374"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin He","raw_affiliation_strings":["Hello Inc., Shanghai, 201199, China"],"affiliations":[{"raw_affiliation_string":"Hello Inc., Shanghai, 201199, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101720223","display_name":"Jia Li","orcid":"https://orcid.org/0009-0009-7009-0412"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li Jia","raw_affiliation_strings":["Hello Inc., Shanghai, 201199, China"],"affiliations":[{"raw_affiliation_string":"Hello Inc., Shanghai, 201199, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108049720","display_name":"Huan Chen","orcid":"https://orcid.org/0000-0001-8648-1631"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huan Chen","raw_affiliation_strings":["Hello Inc., Shanghai, 201199, China"],"affiliations":[{"raw_affiliation_string":"Hello Inc., Shanghai, 201199, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085971847","display_name":"Maoyu Mao","orcid":"https://orcid.org/0000-0002-4316-4385"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maoyu Mao","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, 201804, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, 201804, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5103205273"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.7405,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71524675,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"53","issue":"4","first_page":"4827","last_page":"4840"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.972599983215332,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9682999849319458,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8161830902099609},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8005417585372925},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6697596311569214},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5898247957229614},{"id":"https://openalex.org/keywords/decision-tree-model","display_name":"Decision tree model","score":0.4716331660747528},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.40540990233421326},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4026753902435303},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39887237548828125},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37738874554634094}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8161830902099609},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8005417585372925},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6697596311569214},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5898247957229614},{"id":"https://openalex.org/C56289965","wikidata":"https://www.wikidata.org/wiki/Q5249246","display_name":"Decision tree model","level":3,"score":0.4716331660747528},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.40540990233421326},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4026753902435303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39887237548828125},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37738874554634094}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-022-03769-w","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-022-03769-w","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","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":26,"referenced_works":["https://openalex.org/W1976459656","https://openalex.org/W2011485768","https://openalex.org/W2036193982","https://openalex.org/W2057521255","https://openalex.org/W2132917208","https://openalex.org/W2140899775","https://openalex.org/W2150291618","https://openalex.org/W2619014254","https://openalex.org/W2742533424","https://openalex.org/W2790955711","https://openalex.org/W2806899908","https://openalex.org/W2888705210","https://openalex.org/W2904964912","https://openalex.org/W2921995441","https://openalex.org/W2951638999","https://openalex.org/W2962923645","https://openalex.org/W2998275867","https://openalex.org/W3000364429","https://openalex.org/W3001202326","https://openalex.org/W3025918553","https://openalex.org/W3118623680","https://openalex.org/W3121556564","https://openalex.org/W3124999902","https://openalex.org/W3125711463","https://openalex.org/W3194438459","https://openalex.org/W6634793750"],"related_works":["https://openalex.org/W4361806667","https://openalex.org/W4293151273","https://openalex.org/W4323294312","https://openalex.org/W4366990902","https://openalex.org/W4317732970","https://openalex.org/W4388550696","https://openalex.org/W4313289487","https://openalex.org/W4321636153","https://openalex.org/W3214885503","https://openalex.org/W4380629648"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}