{"id":"https://openalex.org/W4306385330","doi":"https://doi.org/10.3390/info13100497","title":"Research on Apparel Retail Sales Forecasting Based on xDeepFM-LSTM Combined Forecasting Model","display_name":"Research on Apparel Retail Sales Forecasting Based on xDeepFM-LSTM Combined Forecasting Model","publication_year":2022,"publication_date":"2022-10-15","ids":{"openalex":"https://openalex.org/W4306385330","doi":"https://doi.org/10.3390/info13100497"},"language":"en","primary_location":{"id":"doi:10.3390/info13100497","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info13100497","pdf_url":"https://www.mdpi.com/2078-2489/13/10/497/pdf?version=1665827326","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/13/10/497/pdf?version=1665827326","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026305755","display_name":"Tian Luo","orcid":"https://orcid.org/0000-0002-3259-0688"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tian Luo","raw_affiliation_strings":["School of Economics & Management, Shanghai Maritime University, Shanghai 201306, China"],"raw_orcid":"https://orcid.org/0000-0002-3259-0688","affiliations":[{"raw_affiliation_string":"School of Economics & Management, Shanghai Maritime University, Shanghai 201306, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111812838","display_name":"Daofang Chang","orcid":"https://orcid.org/0000-0002-7163-7741"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daofang Chang","raw_affiliation_strings":["Logistics Engineering College, Shanghai Maritime University, Shanghai 201306, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Logistics Engineering College, Shanghai Maritime University, Shanghai 201306, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101657652","display_name":"Zhenyu Xu","orcid":"https://orcid.org/0000-0002-5321-6943"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Xu","raw_affiliation_strings":["Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai 201306, China"],"raw_orcid":"https://orcid.org/0000-0002-5321-6943","affiliations":[{"raw_affiliation_string":"Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai 201306, China","institution_ids":["https://openalex.org/I96733725"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5026305755"],"corresponding_institution_ids":["https://openalex.org/I96733725"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1782},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1782},"fwci":1.3481,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.81586446,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"13","issue":"10","first_page":"497","last_page":"497"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12368","display_name":"Grey System Theory Applications","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9728000164031982,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/sales-forecasting","display_name":"Sales forecasting","score":0.7317942380905151},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.714544415473938},{"id":"https://openalex.org/keywords/clothing","display_name":"Clothing","score":0.6444604396820068},{"id":"https://openalex.org/keywords/demand-forecasting","display_name":"Demand forecasting","score":0.6359553337097168},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5378398895263672},{"id":"https://openalex.org/keywords/probabilistic-forecasting","display_name":"Probabilistic forecasting","score":0.5083655714988708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4795515239238739},{"id":"https://openalex.org/keywords/sales-management","display_name":"Sales management","score":0.4743070602416992},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42047712206840515},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.34942930936813354},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.29614967107772827},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.13121485710144043},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.10574620962142944},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.09634259343147278},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09521150588989258}],"concepts":[{"id":"https://openalex.org/C2984642479","wikidata":"https://www.wikidata.org/wiki/Q7404320","display_name":"Sales forecasting","level":2,"score":0.7317942380905151},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.714544415473938},{"id":"https://openalex.org/C530175646","wikidata":"https://www.wikidata.org/wiki/Q11460","display_name":"Clothing","level":2,"score":0.6444604396820068},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.6359553337097168},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5378398895263672},{"id":"https://openalex.org/C122282355","wikidata":"https://www.wikidata.org/wiki/Q7246855","display_name":"Probabilistic forecasting","level":3,"score":0.5083655714988708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4795515239238739},{"id":"https://openalex.org/C139749660","wikidata":"https://www.wikidata.org/wiki/Q5657855","display_name":"Sales management","level":2,"score":0.4743070602416992},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42047712206840515},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.34942930936813354},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.29614967107772827},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.13121485710144043},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.10574620962142944},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.09634259343147278},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09521150588989258},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/info13100497","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info13100497","pdf_url":"https://www.mdpi.com/2078-2489/13/10/497/pdf?version=1665827326","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:febc470fee7d4a729f347d71f056b060","is_oa":true,"landing_page_url":"https://doaj.org/article/febc470fee7d4a729f347d71f056b060","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information, Vol 13, Iss 10, p 497 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2078-2489/13/10/497/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/info13100497","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information; Volume 13; Issue 10; Pages: 497","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/info13100497","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info13100497","pdf_url":"https://www.mdpi.com/2078-2489/13/10/497/pdf?version=1665827326","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4306385330.pdf","grobid_xml":"https://content.openalex.org/works/W4306385330.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W2166304961","https://openalex.org/W2345047412","https://openalex.org/W2514159439","https://openalex.org/W2766178498","https://openalex.org/W2797605530","https://openalex.org/W2898604056","https://openalex.org/W2915695037","https://openalex.org/W2947175452","https://openalex.org/W2963924287","https://openalex.org/W3010546705","https://openalex.org/W3092547710","https://openalex.org/W3096649842","https://openalex.org/W3130697604","https://openalex.org/W3150492821","https://openalex.org/W3161312563","https://openalex.org/W3162640219","https://openalex.org/W4200619592","https://openalex.org/W4220710781","https://openalex.org/W4223429832","https://openalex.org/W4226093702","https://openalex.org/W4282587001","https://openalex.org/W6793394039"],"related_works":["https://openalex.org/W4328094257","https://openalex.org/W2674988168","https://openalex.org/W4205366572","https://openalex.org/W4362706849","https://openalex.org/W4391233944","https://openalex.org/W4321440267","https://openalex.org/W2051089281","https://openalex.org/W4288049618","https://openalex.org/W2792259125","https://openalex.org/W4308427278"],"abstract_inverted_index":{"Accurate":[0],"sales":[1,25,47,58],"forecasting":[2,19,91,95,103,112,118,122],"can":[3],"provide":[4],"a":[5,125,131],"scientific":[6,132],"basis":[7,133],"for":[8,21,69,134],"the":[9,16,22,34,43,46,57,63,74,77,88,102,116,120],"management":[10],"decisions":[11],"of":[12,24,27,76,105],"enterprises.":[13,30],"We":[14,31,80],"proposed":[15],"xDeepFM-LSTM":[17,90,106],"combined":[18,89,121],"model":[20,40,68,92,123],"characteristics":[23],"data":[26],"apparel":[28,135],"retail":[29],"first":[32],"used":[33,62],"Extreme":[35],"Deep":[36],"Factorization":[37],"Machine":[38],"(xDeepFM)":[39],"to":[41,72,137,140],"explore":[42],"correlation":[44],"between":[45,87],"influencing":[48],"features":[49],"as":[50,52],"much":[51],"possible,":[53],"and":[54,83,93],"then":[55,81],"modeled":[56],"prediction.":[59],"Next,":[60],"we":[61],"Long":[64],"Short-Term":[65],"Memory":[66],"(LSTM)":[67],"residual":[70],"correction":[71],"improve":[73],"accuracy":[75],"prediction":[78],"model.":[79],"designed":[82],"implemented":[84],"comparison":[85],"experiments":[86],"other":[94,111],"models.":[96,113],"The":[97],"experimental":[98],"results":[99],"show":[100],"that":[101],"performance":[104],"is":[107],"significantly":[108],"better":[109],"than":[110],"Compared":[114],"with":[115],"xDeepFM":[117],"model,":[119],"has":[124],"higher":[126],"optimization":[127],"rate,":[128],"which":[129],"provides":[130],"companies":[136],"make":[138],"adjustments":[139],"adjust":[141],"their":[142],"demand":[143],"plans.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
