{"id":"https://openalex.org/W4388399263","doi":"https://doi.org/10.54097/fcis.v5i2.12974","title":"XGBoost Analysis based on Consumer Behavior","display_name":"XGBoost Analysis based on Consumer Behavior","publication_year":2023,"publication_date":"2023-09-01","ids":{"openalex":"https://openalex.org/W4388399263","doi":"https://doi.org/10.54097/fcis.v5i2.12974"},"language":"en","primary_location":{"id":"doi:10.54097/fcis.v5i2.12974","doi":"https://doi.org/10.54097/fcis.v5i2.12974","is_oa":true,"landing_page_url":"https://doi.org/10.54097/fcis.v5i2.12974","pdf_url":"https://drpress.org/ojs/index.php/fcis/article/download/12974/12624","source":{"id":"https://openalex.org/S4387283309","display_name":"Frontiers in Computing and Intelligent Systems","issn_l":"2832-6024","issn":["2832-6024"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Computing and Intelligent Systems","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://drpress.org/ojs/index.php/fcis/article/download/12974/12624","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Kunpeng Cai","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I197219897","display_name":"Angeles University Foundation","ror":"https://ror.org/04mdk1103","country_code":"PH","type":"education","lineage":["https://openalex.org/I197219897"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Kunpeng Cai","raw_affiliation_strings":["Graduate School, Angeles University Foundation, Angeles City, Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School, Angeles University Foundation, Angeles City, Philippines","institution_ids":["https://openalex.org/I197219897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082394461","display_name":"Maria Rosario D. Rodavia","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I197219897","display_name":"Angeles University Foundation","ror":"https://ror.org/04mdk1103","country_code":"PH","type":"education","lineage":["https://openalex.org/I197219897"]}],"countries":["PH"],"is_corresponding":true,"raw_author_name":"Maria Rosario Rodavia","raw_affiliation_strings":["Graduate School, Angeles University Foundation, Angeles City, Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School, Angeles University Foundation, Angeles City, Philippines","institution_ids":["https://openalex.org/I197219897"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5082394461"],"corresponding_institution_ids":["https://openalex.org/I197219897"],"apc_list":null,"apc_paid":null,"fwci":1.2661,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.84004116,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"5","issue":"2","first_page":"85","last_page":"89"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.5332000255584717,"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":0.5332000255584717,"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":0.28049999475479126,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.02759999968111515,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/xgboost","display_name":"XGBoost","score":0.996999979019165},{"id":"https://openalex.org/keywords/consumer-behavior-analysis","display_name":"customer behavior analysis","score":0.8489999771118164},{"id":"https://openalex.org/keywords/purchase-intention-prediction","display_name":"purchase intention prediction","score":0.968999981880188},{"id":"https://openalex.org/keywords/personalized-recommendation","display_name":"personalized recommendation","score":0.7160000205039978},{"id":"https://openalex.org/keywords/feature-importance","display_name":"feature importance","score":0.8309999704360962},{"id":"https://openalex.org/keywords/e-commerce","display_name":"e-commerce","score":0.6399999856948853},{"id":"https://openalex.org/keywords/marketing-decision-support","display_name":"marketing decision support","score":0.5870000123977661}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6716827750205994},{"id":"https://openalex.org/C2778813691","wikidata":"https://www.wikidata.org/wiki/Q1369832","display_name":"Purchasing","level":2,"score":0.6557948589324951},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.648822546005249},{"id":"https://openalex.org/C23213687","wikidata":"https://www.wikidata.org/wiki/Q301468","display_name":"Consumer behaviour","level":2,"score":0.5645732879638672},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4281775951385498},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3859259784221649},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38400399684906006},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32737842202186584},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.2990945875644684},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.18709832429885864},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.54097/fcis.v5i2.12974","doi":"https://doi.org/10.54097/fcis.v5i2.12974","is_oa":true,"landing_page_url":"https://doi.org/10.54097/fcis.v5i2.12974","pdf_url":"https://drpress.org/ojs/index.php/fcis/article/download/12974/12624","source":{"id":"https://openalex.org/S4387283309","display_name":"Frontiers in Computing and Intelligent Systems","issn_l":"2832-6024","issn":["2832-6024"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Computing and Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.54097/fcis.v5i2.12974","doi":"https://doi.org/10.54097/fcis.v5i2.12974","is_oa":true,"landing_page_url":"https://doi.org/10.54097/fcis.v5i2.12974","pdf_url":"https://drpress.org/ojs/index.php/fcis/article/download/12974/12624","source":{"id":"https://openalex.org/S4387283309","display_name":"Frontiers in Computing and Intelligent Systems","issn_l":"2832-6024","issn":["2832-6024"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Computing and Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388399263.pdf","grobid_xml":"https://content.openalex.org/works/W4388399263.grobid-xml"},"referenced_works_count":1,"referenced_works":["https://openalex.org/W2295598076"],"related_works":["https://openalex.org/W7163199552","https://openalex.org/W7143890332","https://openalex.org/W7160385740","https://openalex.org/W4393054629","https://openalex.org/W4409793680","https://openalex.org/W7130592106","https://openalex.org/W3110411532","https://openalex.org/W4411175837","https://openalex.org/W3192974650","https://openalex.org/W7220258769"],"abstract_inverted_index":{"With":[0],"the":[1,5,55,59,97,117,124,137,144,187],"rapid":[2],"development":[3],"of":[4,12,58,123,140,147,189],"Internet":[6],"and":[7,26,48,62,91,111,120,132,156,175,180],"e-commerce,":[8],"a":[9,34],"large":[10,45],"amount":[11],"consumer":[13,24,72,79,108,152,163],"data":[14,46,80],"has":[15],"become":[16],"available,":[17],"which":[18],"allows":[19],"us":[20],"to":[21,68,71,103,128,193],"better":[22,168],"understand":[23],"preferences":[25],"purchasing":[27,93],"trends.":[28],"XGBoost":[29,60,98,148],"(Extreme":[30],"Gradient":[31],"Boosting)":[32],"is":[33],"powerful":[35],"machine":[36,190],"learning":[37,191],"algorithm":[38],"that":[39],"performs":[40],"well":[41],"when":[42],"dealing":[43],"with":[44],"sets":[47],"complex":[49],"features.":[50],"This":[51,75],"article":[52],"first":[53],"introduces":[54],"basic":[56],"principles":[57],"algorithm,":[61],"then":[63],"discusses":[64],"in":[65,154],"detail":[66],"how":[67],"apply":[69],"it":[70],"behavior":[73,153,164],"analysis.":[74],"paper":[76],"uses":[77],"real":[78],"set,":[81],"including":[82],"multi-dimensional":[83],"information":[84],"such":[85],"as":[86],"customer":[87,92,170],"identification,":[88],"product":[89],"identification":[90],"behavior.":[94],"By":[95,159],"building":[96],"model,":[99],"we":[100,135],"are":[101,126],"able":[102],"identify":[104],"important":[105],"features,":[106],"predict":[107],"purchase":[109],"intentions,":[110],"provide":[112],"personalized":[113],"recommendations.":[114],"In":[115],"addition,":[116],"performance":[118],"evaluation":[119],"optimization":[121],"methods":[122],"model":[125],"discussed":[127],"ensure":[129],"its":[130],"accuracy":[131],"practicability.":[133],"Finally,":[134],"summarize":[136],"main":[138],"findings":[139],"this":[141,181],"study,":[142],"highlighting":[143],"potential":[145],"applications":[146],"analytics":[149],"based":[150],"on":[151],"marketing":[155],"business":[157],"decisions.":[158],"digging":[160],"deeper":[161],"into":[162],"data,":[165],"businesses":[166],"can":[167],"meet":[169],"needs,":[171],"improve":[172],"sales":[173],"efficiency,":[174],"achieve":[176],"sustainable":[177],"competitive":[178],"advantage,":[179],"research":[182],"provides":[183],"strong":[184],"support":[185],"for":[186],"use":[188],"techniques":[192],"optimize":[194],"market":[195],"strategies.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-11-06T00:00:00"}
