{"id":"https://openalex.org/W1494118965","doi":"https://doi.org/10.1007/978-3-540-78733-4_10","title":"A Unified Probabilistic Inference Model for Targeted Marketing","display_name":"A Unified Probabilistic Inference Model for Targeted Marketing","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W1494118965","doi":"https://doi.org/10.1007/978-3-540-78733-4_10","mag":"1494118965"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-78733-4_10","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-78733-4_10","pdf_url":null,"source":{"id":"https://openalex.org/S2764461748","display_name":"Studies in computational intelligence","issn_l":"1860-949X","issn":["1860-949X","1860-9503"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Computational Intelligence","raw_type":"book-chapter"},"type":"book-chapter","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/A5079270412","display_name":"Jiajin Huang","orcid":"https://orcid.org/0000-0002-7495-3440"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiajin Huang","raw_affiliation_strings":["The International WIC Institute, Beijing University of Technology, Beijing, China","Beijing University of Technology"],"affiliations":[{"raw_affiliation_string":"The International WIC Institute, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Beijing University of Technology","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022096691","display_name":"Ning Zhong","orcid":"https://orcid.org/0000-0001-7882-8340"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]},{"id":"https://openalex.org/I153470267","display_name":"Maebashi Institute of Technology","ror":"https://ror.org/01x05rm94","country_code":"JP","type":"education","lineage":["https://openalex.org/I153470267"]}],"countries":["CN","JP"],"is_corresponding":false,"raw_author_name":"Ning Zhong","raw_affiliation_strings":["Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi-City, Japan","The International WIC Institute, Beijing University of Technology, Beijing, China","Maebashi Institute of Technology","Beijing University of Technology"],"affiliations":[{"raw_affiliation_string":"Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi-City, Japan","institution_ids":["https://openalex.org/I153470267"]},{"raw_affiliation_string":"The International WIC Institute, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Maebashi Institute of Technology","institution_ids":["https://openalex.org/I153470267"]},{"raw_affiliation_string":"Beijing University of Technology","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5079270412"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.06230334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"171","last_page":"186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9979000091552734,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6765007376670837},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6761293411254883},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6329566240310669},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5608838796615601},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4983658790588379},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.49537956714630127},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4759349822998047},{"id":"https://openalex.org/keywords/frequentist-inference","display_name":"Frequentist inference","score":0.4647125005722046},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4640684723854065},{"id":"https://openalex.org/keywords/profit","display_name":"Profit (economics)","score":0.43419957160949707},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.42807018756866455},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.277707040309906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6765007376670837},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6761293411254883},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6329566240310669},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5608838796615601},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4983658790588379},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.49537956714630127},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4759349822998047},{"id":"https://openalex.org/C162376815","wikidata":"https://www.wikidata.org/wiki/Q2158281","display_name":"Frequentist inference","level":4,"score":0.4647125005722046},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4640684723854065},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.43419957160949707},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.42807018756866455},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.277707040309906},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-540-78733-4_10","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-78733-4_10","pdf_url":null,"source":{"id":"https://openalex.org/S2764461748","display_name":"Studies in computational intelligence","issn_l":"1860-949X","issn":["1860-949X","1860-9503"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Computational Intelligence","raw_type":"book-chapter"}],"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/W57327068","https://openalex.org/W179787377","https://openalex.org/W1485890462","https://openalex.org/W1603079404","https://openalex.org/W1915750711","https://openalex.org/W1971040550","https://openalex.org/W2008661410","https://openalex.org/W2042281163","https://openalex.org/W2043403353","https://openalex.org/W2043742016","https://openalex.org/W2047031127","https://openalex.org/W2049455633","https://openalex.org/W2061685821","https://openalex.org/W2062778150","https://openalex.org/W2068159075","https://openalex.org/W2074598806","https://openalex.org/W2090996319","https://openalex.org/W2100279283","https://openalex.org/W2108153239","https://openalex.org/W2108521387","https://openalex.org/W2110325612","https://openalex.org/W2125797714","https://openalex.org/W2171960770","https://openalex.org/W3022657129","https://openalex.org/W4239134798","https://openalex.org/W4249191614"],"related_works":["https://openalex.org/W3124023584","https://openalex.org/W193226913","https://openalex.org/W2168076595","https://openalex.org/W2742348189","https://openalex.org/W88131178","https://openalex.org/W2290754432","https://openalex.org/W2332232517","https://openalex.org/W232830309","https://openalex.org/W4297826693","https://openalex.org/W2963071676"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}