{"id":"https://openalex.org/W3118717775","doi":"https://doi.org/10.1145/3444370.3444575","title":"Dynamic estimation model of insurance product recommendation based on Naive Bayesian model","display_name":"Dynamic estimation model of insurance product recommendation based on Naive Bayesian model","publication_year":2020,"publication_date":"2020-12-04","ids":{"openalex":"https://openalex.org/W3118717775","doi":"https://doi.org/10.1145/3444370.3444575","mag":"3118717775"},"language":"en","primary_location":{"id":"doi:10.1145/3444370.3444575","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3444370.3444575","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 International Conference on Cyberspace Innovation of Advanced Technologies","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100335207","display_name":"Bo Zhang","orcid":"https://orcid.org/0000-0001-8326-2329"},"institutions":[{"id":"https://openalex.org/I4210105877","display_name":"Wuhan Donghu University","ror":"https://ror.org/017swdq34","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Zhang","raw_affiliation_strings":["School of computer science, Wuhan Donghu University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of computer science, Wuhan Donghu University, Wuhan, China","institution_ids":["https://openalex.org/I4210105877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017141765","display_name":"Dehua Kong","orcid":"https://orcid.org/0009-0005-7122-3580"},"institutions":[{"id":"https://openalex.org/I4210105877","display_name":"Wuhan Donghu University","ror":"https://ror.org/017swdq34","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dehua Kong","raw_affiliation_strings":["School of computer science, Wuhan Donghu University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of computer science, Wuhan Donghu University, Wuhan, China","institution_ids":["https://openalex.org/I4210105877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210105877"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"219","last_page":"224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.97079998254776,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.97079998254776,"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/T12384","display_name":"Customer churn and segmentation","score":0.9679999947547913,"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/T13676","display_name":"Educational and Technological Research","score":0.9377999901771545,"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/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.7435874938964844},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7256264090538025},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6089047789573669},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5878804922103882},{"id":"https://openalex.org/keywords/purchasing","display_name":"Purchasing","score":0.5741620659828186},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5700031518936157},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.537185788154602},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5321974158287048},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4941239655017853},{"id":"https://openalex.org/keywords/bayesian-programming","display_name":"Bayesian programming","score":0.47878897190093994},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4722050130367279},{"id":"https://openalex.org/keywords/decision-tree-model","display_name":"Decision tree model","score":0.47103220224380493},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46788305044174194},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4494277834892273},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.44658616185188293},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.3786040246486664},{"id":"https://openalex.org/keywords/variable-order-bayesian-network","display_name":"Variable-order Bayesian network","score":0.2112809419631958},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1365165114402771},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13227123022079468},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12959009408950806}],"concepts":[{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7435874938964844},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7256264090538025},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6089047789573669},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5878804922103882},{"id":"https://openalex.org/C2778813691","wikidata":"https://www.wikidata.org/wiki/Q1369832","display_name":"Purchasing","level":2,"score":0.5741620659828186},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5700031518936157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.537185788154602},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5321974158287048},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4941239655017853},{"id":"https://openalex.org/C127043819","wikidata":"https://www.wikidata.org/wiki/Q16243608","display_name":"Bayesian programming","level":5,"score":0.47878897190093994},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4722050130367279},{"id":"https://openalex.org/C56289965","wikidata":"https://www.wikidata.org/wiki/Q5249246","display_name":"Decision tree model","level":3,"score":0.47103220224380493},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46788305044174194},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4494277834892273},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.44658616185188293},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.3786040246486664},{"id":"https://openalex.org/C71983512","wikidata":"https://www.wikidata.org/wiki/Q7915687","display_name":"Variable-order Bayesian network","level":4,"score":0.2112809419631958},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1365165114402771},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13227123022079468},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12959009408950806},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3444370.3444575","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3444370.3444575","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 International Conference on Cyberspace Innovation of Advanced Technologies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W277331452","https://openalex.org/W1966154590","https://openalex.org/W1983806344","https://openalex.org/W2027393881","https://openalex.org/W2035312252","https://openalex.org/W2049962082","https://openalex.org/W2082228576","https://openalex.org/W2135327238"],"related_works":["https://openalex.org/W3204641204","https://openalex.org/W4283016678","https://openalex.org/W4205958290","https://openalex.org/W3210877509","https://openalex.org/W2084779923","https://openalex.org/W50014760","https://openalex.org/W2046384965","https://openalex.org/W1956930971","https://openalex.org/W2016517455","https://openalex.org/W1599577651"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,10,19,51,60],"dynamic":[3,25],"estimation":[4,26],"of":[5,14,21,28],"insurance":[6,16,29,42],"product":[7,17,30],"recommendation,":[8],"considering":[9],"particularity":[11],"and":[12,18,63,71],"complexity":[13],"purchasing":[15],"uncertainty":[20],"influencing":[22],"factors,":[23],"a":[24],"model":[27,39],"recommendation":[31],"based":[32],"on":[33],"Naive":[34],"Bayes":[35],"is":[36],"proposed.":[37],"The":[38,47],"combines":[40],"customer":[41],"information":[43],"with":[44,59],"machine":[45],"learning.":[46],"results":[48],"show":[49],"that":[50],"naive":[52],"Bayesian":[53],"classification":[54,66],"algorithm":[55],"can":[56],"be":[57],"compared":[58],"decision":[61],"tree":[62],"neural":[64],"network":[65],"algorithm,":[67],"showing":[68],"high":[69,72],"accuracy":[70],"speed.":[73]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
