{"id":"https://openalex.org/W3174220882","doi":"https://doi.org/10.1109/cybconf51991.2021.9464142","title":"Forecasting Potential Sales of Bread Products at Stores by Network Embedding","display_name":"Forecasting Potential Sales of Bread Products at Stores by Network Embedding","publication_year":2021,"publication_date":"2021-06-08","ids":{"openalex":"https://openalex.org/W3174220882","doi":"https://doi.org/10.1109/cybconf51991.2021.9464142","mag":"3174220882"},"language":"en","primary_location":{"id":"doi:10.1109/cybconf51991.2021.9464142","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cybconf51991.2021.9464142","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th IEEE International Conference on Cybernetics (CYBCONF)","raw_type":"proceedings-article"},"type":"article","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/A5100800856","display_name":"Kohei Takahashi","orcid":null},"institutions":[{"id":"https://openalex.org/I6090238","display_name":"Iwate Prefectural University","ror":"https://ror.org/054dx8336","country_code":"JP","type":"education","lineage":["https://openalex.org/I6090238"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kohei Takahashi","raw_affiliation_strings":["Graduate School of Software and Information Science, Iwate Prefectural University, Iwate, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Software and Information Science, Iwate Prefectural University, Iwate, Japan","institution_ids":["https://openalex.org/I6090238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066944812","display_name":"Yusuke Goto","orcid":"https://orcid.org/0000-0003-2767-1501"},"institutions":[{"id":"https://openalex.org/I171481255","display_name":"Shibaura Institute of Technology","ror":"https://ror.org/020wjcq07","country_code":"JP","type":"education","lineage":["https://openalex.org/I171481255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Goto","raw_affiliation_strings":["College of Systems Engineering and Science, Shibaura Institute of Technology, Saitama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Systems Engineering and Science, Shibaura Institute of Technology, Saitama, Japan","institution_ids":["https://openalex.org/I171481255"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3467,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6176011,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"114","last_page":"119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9882000088691711,"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":0.9882000088691711,"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/T12384","display_name":"Customer churn and segmentation","score":0.9829000234603882,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9785000085830688,"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/retail-sales","display_name":"Retail sales","score":0.6708123683929443},{"id":"https://openalex.org/keywords/factory","display_name":"Factory (object-oriented programming)","score":0.5913875102996826},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5441766977310181},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5193632245063782},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.49913573265075684},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.47833749651908875},{"id":"https://openalex.org/keywords/supply-chain","display_name":"Supply chain","score":0.47366270422935486},{"id":"https://openalex.org/keywords/sales-management","display_name":"Sales management","score":0.4298023581504822},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.2332349717617035},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.1579669713973999},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12485575675964355},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11889374256134033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08845964074134827}],"concepts":[{"id":"https://openalex.org/C2991860356","wikidata":"https://www.wikidata.org/wiki/Q126793","display_name":"Retail sales","level":2,"score":0.6708123683929443},{"id":"https://openalex.org/C40149104","wikidata":"https://www.wikidata.org/wiki/Q5620977","display_name":"Factory (object-oriented programming)","level":2,"score":0.5913875102996826},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5441766977310181},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5193632245063782},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.49913573265075684},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.47833749651908875},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.47366270422935486},{"id":"https://openalex.org/C139749660","wikidata":"https://www.wikidata.org/wiki/Q5657855","display_name":"Sales management","level":2,"score":0.4298023581504822},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2332349717617035},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.1579669713973999},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12485575675964355},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11889374256134033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08845964074134827},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cybconf51991.2021.9464142","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cybconf51991.2021.9464142","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th IEEE International Conference on Cybernetics (CYBCONF)","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":5,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W2187089797","https://openalex.org/W2328311137","https://openalex.org/W3201212247","https://openalex.org/W6801152236"],"related_works":["https://openalex.org/W1488352455","https://openalex.org/W4233504169","https://openalex.org/W1605844556","https://openalex.org/W1934783962","https://openalex.org/W2686964616","https://openalex.org/W3198922248","https://openalex.org/W141869695","https://openalex.org/W4242573152","https://openalex.org/W2931369162","https://openalex.org/W2310622685"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3],"study":[4,77],"the":[5,8,25,46,95,155],"forecast":[6],"of":[7,11,24,28],"potential":[9,26,123],"sales":[10,27,119,142],"out-of-stock":[12,29],"products":[13,30,72,161],"in":[14,31,54,163],"retail":[15,32,41,58,74],"stores":[16,33,42,115,165],"using":[17,91],"factory":[18,83],"shipment":[19,84],"data.":[20],"A":[21],"precise":[22],"prediction":[23,90,134,143],"is":[34,158],"beneficial":[35],"for":[36,66,89,139],"both":[37],"baking":[38,67,82],"factories":[39,68],"and":[40,60,80,102,120,137,166],"because":[43,94],"it":[44,61],"optimizes":[45],"supply":[47],"chain":[48],"by":[49],"introducing":[50],"a":[51,98,107,132],"new":[52,64],"product":[53,141],"proper":[55],"quantity":[56],"at":[57],"stores,":[59],"also":[62,148],"creates":[63],"opportunities":[65],"to":[69,73,112,160],"sell":[70],"their":[71,118,122],"stores.":[75],"This":[76],"uses":[78],"high-dimensional":[79],"sparse":[81],"data,":[85],"which":[86],"are":[87],"unsuitable":[88],"conventional":[92],"methods":[93],"data":[96],"have":[97],"high":[99],"computation":[100],"time":[101],"missing":[103],"values.":[104],"We":[105,125,147],"employ":[106],"network":[108],"embedding":[109],"method,":[110],"LINE,":[111],"derive":[113],"similar":[114],"based":[116],"on":[117],"predict":[121],"sales.":[124],"confirmed":[126],"that":[127],"our":[128,150],"proposed":[129,151],"method":[130,135],"outperforms":[131],"simple":[133],"(Baseline)":[136],"t-SNE":[138],"accurate":[140],"via":[144],"simulation":[145],"experiments.":[146],"verified":[149],"method's":[152],"applicability":[153],"when":[154],"forecasting":[156],"target":[157],"expanded":[159],"sold":[162],"fewer":[164],"with":[167],"lower":[168],"volume.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
