{"id":"https://openalex.org/W2171563058","doi":"https://doi.org/10.1109/ijcnn.2008.4633863","title":"Contact personalization using a score understanding method","display_name":"Contact personalization using a score understanding method","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2171563058","doi":"https://doi.org/10.1109/ijcnn.2008.4633863","mag":"2171563058"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2008.4633863","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4633863","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-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/A5103118554","display_name":"Vincent Lemaire","orcid":"https://orcid.org/0000-0002-6030-2356"},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Vincent Lemaire","raw_affiliation_strings":["Orange Laboratories, Lannion, France"],"affiliations":[{"raw_affiliation_string":"Orange Laboratories, Lannion, France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018329449","display_name":"Rapha\u00ebl F\u00e9raud","orcid":"https://orcid.org/0000-0001-9986-8878"},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Raphael Feraud","raw_affiliation_strings":["Orange Laboratories, Lannion, France"],"affiliations":[{"raw_affiliation_string":"Orange Laboratories, Lannion, France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076432287","display_name":"Nicolas Voisine","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicolas Voisine","raw_affiliation_strings":["Orange Laboratories, Lannion, France"],"affiliations":[{"raw_affiliation_string":"Orange Laboratories, Lannion, France","institution_ids":["https://openalex.org/I19370010"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103118554"],"corresponding_institution_ids":["https://openalex.org/I19370010"],"apc_list":null,"apc_paid":null,"fwci":2.2395,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.89066241,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"9","issue":null,"first_page":"649","last_page":"654"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9782999753952026,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9782999753952026,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9735999703407288,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9732000231742859,"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/personalization","display_name":"Personalization","score":0.7670329809188843},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7420803308486938},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.7363704442977905},{"id":"https://openalex.org/keywords/usable","display_name":"USable","score":0.6378691792488098},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.6014634966850281},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5242272019386292},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44797131419181824},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44539713859558105},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4405132234096527},{"id":"https://openalex.org/keywords/customer-relationship-management","display_name":"Customer relationship management","score":0.41909945011138916},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13613495230674744},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1319689154624939},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08661279082298279}],"concepts":[{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.7670329809188843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7420803308486938},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.7363704442977905},{"id":"https://openalex.org/C2780615836","wikidata":"https://www.wikidata.org/wiki/Q2471869","display_name":"USable","level":2,"score":0.6378691792488098},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.6014634966850281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5242272019386292},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44797131419181824},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44539713859558105},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4405132234096527},{"id":"https://openalex.org/C98825075","wikidata":"https://www.wikidata.org/wiki/Q485643","display_name":"Customer relationship management","level":2,"score":0.41909945011138916},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13613495230674744},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1319689154624939},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08661279082298279},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2008.4633863","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4633863","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1493971325","https://openalex.org/W2042373493","https://openalex.org/W2082674974","https://openalex.org/W2108455851","https://openalex.org/W2118020555","https://openalex.org/W2128479019","https://openalex.org/W2133121564","https://openalex.org/W2136152041","https://openalex.org/W2144212877","https://openalex.org/W2157702969","https://openalex.org/W2163532598","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2982321410","https://openalex.org/W2392004567","https://openalex.org/W2940029036","https://openalex.org/W4388292429","https://openalex.org/W2756595502","https://openalex.org/W2046296964","https://openalex.org/W2010789764","https://openalex.org/W2219281195","https://openalex.org/W2187233292","https://openalex.org/W4389422031"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,10,58,72,86],"method":[4,81],"to":[5,67,99],"interpret":[6],"the":[7,22,26,30,35,44,47,54,79,101],"output":[8,49],"of":[9,29,34,37,46],"classification":[11],"(or":[12],"regression)":[13],"model.":[14],"The":[15],"interpretation":[16,39,45],"is":[17,90],"based":[18],"on":[19,85],"two":[20],"concepts:":[21],"variable":[23],"importance":[24,28],"and":[25,89],"value":[27],"variable.":[31],"Unlike":[32],"most":[33],"state":[36],"art":[38],"methods,":[40],"our":[41],"approach":[42],"allows":[43],"model":[48,59,88,95],"for":[50,60,64,93],"every":[51],"instance.":[52],"Understanding":[53],"score":[55],"given":[56],"by":[57],"one":[61],"instance":[62],"can":[63],"example":[65],"lead":[66],"an":[68],"immediate":[69],"decision":[70],"in":[71],"customer":[73],"relational":[74],"management":[75],"(CRM)":[76],"system.":[77],"Moreover":[78],"proposed":[80],"does":[82],"not":[83],"depend":[84],"particular":[87],"therefore":[91],"usable":[92],"any":[94],"or":[96],"software":[97],"used":[98],"produce":[100],"scores.":[102]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
