{"id":"https://openalex.org/W4385344301","doi":"https://doi.org/10.4108/eai.26-5-2023.2334304","title":"Prediction of Consumer Behavior Based on Machine Learning Algorithm","display_name":"Prediction of Consumer Behavior Based on Machine Learning Algorithm","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385344301","doi":"https://doi.org/10.4108/eai.26-5-2023.2334304"},"language":"en","primary_location":{"id":"doi:10.4108/eai.26-5-2023.2334304","doi":"https://doi.org/10.4108/eai.26-5-2023.2334304","is_oa":true,"landing_page_url":"http://dx.doi.org/10.4108/eai.26-5-2023.2334304","pdf_url":"http://eudl.eu/pdf/10.4108/eai.26-5-2023.2334304","source":{"id":"https://openalex.org/S4363608836","display_name":"International Conference on Mathematical Statistics and Economic Analysis (MSEA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2023, May 26\u201328, 2023, Nanjing, China","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"http://eudl.eu/pdf/10.4108/eai.26-5-2023.2334304","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100881935","display_name":"Yan Cui Jiang","orcid":"https://orcid.org/0000-0002-3317-1696","observed_orcids":["https://orcid.org/0000-0002-3317-1696"]},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yan Jiang","raw_affiliation_strings":["School of Business Administration, Zhejiang Gongshang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Business Administration, Zhejiang Gongshang University, Hangzhou, China","institution_ids":["https://openalex.org/I75059550"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100881935"],"corresponding_institution_ids":["https://openalex.org/I75059550"],"apc_list":null,"apc_paid":null,"fwci":3.8193,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.94091977,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9775000214576721,"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":0.9775000214576721,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.006500000134110451,"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":0.002400000113993883,"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/customer-behavior-prediction","display_name":"customer behavior prediction","score":0.9980000257492065},{"id":"https://openalex.org/keywords/digital-economy","display_name":"digital economy","score":0.7710000276565552},{"id":"https://openalex.org/keywords/internet-industry","display_name":"internet industry","score":0.5649999976158142}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6719363927841187},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5887362957000732},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.585486114025116},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5601053237915039},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5419358611106873},{"id":"https://openalex.org/C23213687","wikidata":"https://www.wikidata.org/wiki/Q301468","display_name":"Consumer behaviour","level":2,"score":0.48093265295028687},{"id":"https://openalex.org/C58033187","wikidata":"https://www.wikidata.org/wiki/Q386147","display_name":"Point of sale","level":2,"score":0.4179462194442749},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4126690626144409},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39068809151649475},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3654611110687256},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.2713318169116974},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.15601733326911926},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12484732270240784},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08349844813346863},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4108/eai.26-5-2023.2334304","doi":"https://doi.org/10.4108/eai.26-5-2023.2334304","is_oa":true,"landing_page_url":"http://dx.doi.org/10.4108/eai.26-5-2023.2334304","pdf_url":"http://eudl.eu/pdf/10.4108/eai.26-5-2023.2334304","source":{"id":"https://openalex.org/S4363608836","display_name":"International Conference on Mathematical Statistics and Economic Analysis (MSEA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2023, May 26\u201328, 2023, Nanjing, China","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.4108/eai.26-5-2023.2334304","doi":"https://doi.org/10.4108/eai.26-5-2023.2334304","is_oa":true,"landing_page_url":"http://dx.doi.org/10.4108/eai.26-5-2023.2334304","pdf_url":"http://eudl.eu/pdf/10.4108/eai.26-5-2023.2334304","source":{"id":"https://openalex.org/S4363608836","display_name":"International Conference on Mathematical Statistics and Economic Analysis (MSEA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2023, May 26\u201328, 2023, Nanjing, China","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385344301.pdf","grobid_xml":"https://content.openalex.org/works/W4385344301.grobid-xml"},"referenced_works_count":3,"referenced_works":["https://openalex.org/W273955616","https://openalex.org/W2140190241","https://openalex.org/W2567326027"],"related_works":["https://openalex.org/W3200490787","https://openalex.org/W4414663800","https://openalex.org/W7135402643","https://openalex.org/W2985106819","https://openalex.org/W7134176624","https://openalex.org/W4391038468","https://openalex.org/W7223096613","https://openalex.org/W4392352928","https://openalex.org/W6885046120","https://openalex.org/W3002369308"],"abstract_inverted_index":{"Under":[0],"the":[1,6,15,35],"background":[2],"of":[3,17,38],"digital":[4],"economy,":[5],"Internet":[7],"industry":[8],"pays":[9],"more":[10,12],"and":[11,28],"attention":[13],"to":[14,23],"importance":[16],"user":[18,26],"consumption":[19],"behavior,":[20],"but":[21],"how":[22],"distinguish":[24],"high-quality":[25],"channels":[27],"optimize":[29],"marketing":[30],"costs":[31],"has":[32],"always":[33],"been":[34],"pain":[36],"point":[37],"companies.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43],"propose":[44],"an":[45],"analysi":[46]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2023-07-29T00:00:00"}