{"id":"https://openalex.org/W4405946678","doi":"https://doi.org/10.1145/3691422.3691447","title":"POY Price Prediction Model based on XGBoost Algorithm","display_name":"POY Price Prediction Model based on XGBoost Algorithm","publication_year":2024,"publication_date":"2024-07-19","ids":{"openalex":"https://openalex.org/W4405946678","doi":"https://doi.org/10.1145/3691422.3691447"},"language":"en","primary_location":{"id":"doi:10.1145/3691422.3691447","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3691422.3691447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 15th International Conference on E-business, Management and Economics","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/A5053792581","display_name":"Yu-Hao Liu","orcid":"https://orcid.org/0009-0002-0201-8389"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu-Hao Liu","raw_affiliation_strings":["Guangdong University of Science and Technology, Dongguan, China"],"raw_orcid":"https://orcid.org/0009-0002-0201-8389","affiliations":[{"raw_affiliation_string":"Guangdong University of Science and Technology, Dongguan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103450444","display_name":"Siyuan He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Si-Yuan He","raw_affiliation_strings":["Guangdong University of Science and Technology, Dongguan, China"],"raw_orcid":"https://orcid.org/0009-0001-5295-4311","affiliations":[{"raw_affiliation_string":"Guangdong University of Science and Technology, Dongguan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063566735","display_name":"Cheng-Jun Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng-Jun Chen","raw_affiliation_strings":["Guangdong University of Science and Technology, Dongguan, China"],"raw_orcid":"https://orcid.org/0009-0008-8134-0758","affiliations":[{"raw_affiliation_string":"Guangdong University of Science and Technology, Dongguan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7676,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.73420933,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"292","last_page":"298"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.2168000042438507,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.2168000042438507,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5921620726585388},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4265252351760864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32420825958251953}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5921620726585388},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4265252351760864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32420825958251953}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3691422.3691447","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3691422.3691447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 15th International Conference on E-business, Management and Economics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W3007940270","https://openalex.org/W3030391949","https://openalex.org/W3169203486","https://openalex.org/W3196366936","https://openalex.org/W4207058779","https://openalex.org/W4213057245","https://openalex.org/W4365799518","https://openalex.org/W4388893840","https://openalex.org/W4392943901","https://openalex.org/W6774881782"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"Due":[0],"to":[1,49,70,80,83,130],"the":[2,9,24,32,97,112,117],"oligopoly":[3],"structure":[4],"of":[5,35,119],"upstream":[6],"suppliers":[7],"in":[8,27,88,106],"polyester":[10],"filament":[11],"yarn":[12],"(POY)":[13],"industry,":[14],"downstream":[15,36],"enterprises":[16,48,87,129],"often":[17],"have":[18],"relatively":[19],"limited":[20],"bargaining":[21],"power.":[22],"Consequently,":[23],"continuous":[25],"fluctuations":[26],"POY":[28,41,72,108,120],"prices":[29,121],"significantly":[30],"impact":[31],"relevant":[33],"costs":[34,57],"production":[37],"enterprises.":[38],"Accurately":[39],"predicting":[40],"price":[42,73],"changes":[43],"is":[44],"crucial":[45],"for":[46,86,122,128],"these":[47],"formulate":[50,131],"optimized":[51],"procurement":[52,92,134],"strategies,":[53],"effectively":[54],"reducing":[55],"overall":[56],"and":[58,61,103],"promoting":[59],"stable":[60],"healthy":[62],"development.":[63],"This":[64],"study":[65],"utilizes":[66],"machine":[67],"learning":[68],"algorithms":[69],"analyze":[71],"forecasting":[74,107],"based":[75],"on":[76,111],"data":[77],"from":[78],"2014":[79],"2023,":[81],"aiming":[82],"provide":[84],"reference":[85,127],"formulating":[89],"optimal":[90,132],"material":[91,133],"strategies.":[93,135],"Analysis":[94],"reveals":[95],"that":[96],"XGBoost":[98],"model":[99],"demonstrates":[100],"high":[101],"accuracy":[102],"predictive":[104],"capability":[105],"prices.":[109],"Based":[110],"model's":[113],"predictions,":[114],"we":[115],"derive":[116],"trend":[118],"2024,":[123],"thereby":[124],"providing":[125],"a":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}