Improving Matching Efficiency at Green
First written in FY2016-Q3. 21 of 32 entries say "Restated". Latest entry: 2026-07-31.
Atrae moved to the "Worse" side of this theme in 2026.
0 other companies' latest entry also says "Worsened".
- FY2025AdvancedAnnual report
「By analysing this accumulated data, we have developed a recommendation system that delivers optimised job information to job seekers considering a career change and optimised job-seeker information to client companies seeking to recruit, and we are working to improve the application screening pass rate. The trend in our application screening pass rate was 19.9% in the fiscal year ended September 2021, 24.5% in the fiscal year ended September 2022, 23.0% in the fiscal year ended September 2023, 20.3% in the fiscal year ended September 2024, and 22.5% in the fiscal year ended September 2025.」
While continuing recommendation-system initiatives using big data analysis and other measures, the application screening pass rate rose from 20.3% in the fiscal year ended September 2024 to 22.5% in the fiscal year ended September 2025. - FY2025-H1RestatedAnnual report
「The Company is undertaking various initiatives that leverage Green's unique competitive advantages in the recruitment market, including expanding content to improve matching efficiency between companies posting job openings and job seekers, improving recommendation accuracy through big data analysis, and strengthening web marketing and other measures to increase the number of registered users.」
For Green, continues matching-improvement measures including content expansion, improved recommendation accuracy through big data analysis and strengthened Web marketing. - FY2024Decline in the application screening pass rateAnnual report
「We have undertaken various initiatives leveraging Green's distinctive competitive advantages in the recruitment market, including expanding content to improve matching efficiency between client companies and job seekers, improving recommendation accuracy through big data analysis, and strengthening Web marketing to increase the number of registered users. The trend in our application screening pass rate was 19.61% in the fiscal year ended September 2020, 19.87% in the fiscal year ended September 2021, 24.53% in the fiscal year ended September 2022, 23.00% in the fiscal year ended September 2023, and 20.26% in the fiscal year ended September 2024.」
While continuing matching-improvement measures, the application screening pass rate declined from 23.00% in the fiscal year ended September 2023 to 20.26% in the fiscal year ended September 2024. - FY2024-Q2RestatedAnnual report
「The Company is undertaking various initiatives that leverage Green's unique competitive advantages in the recruitment market, including expanding content to improve matching efficiency between companies posting job openings and job seekers, improving recommendation accuracy through big data analysis, and strengthening web marketing and other measures to increase the number of registered users.」
For Green, continues measures including content expansion, improved recommendation accuracy through big data analysis and strengthened Web marketing. - FY2023Decline in the application screening pass rateAnnual report
「By analysing this accumulated data, we have developed a recommendation system that delivers optimised job information to job seekers considering a career change and optimised job-seeker information to client companies seeking to recruit, and we are working to improve the application screening pass rate. The trend in our application screening pass rate was 13.00% in the fiscal year ended September 2013, 18.55% in the fiscal year ended September 2014, 26.09% in the fiscal year ended September 2015, 28.42% in the fiscal year ended September 2016, 29.29% in the fiscal year ended September 2017, 29.74% in the fiscal year ended September 2018, 26.30% in the fiscal year ended September 2019, 19.61% in the fiscal year ended September 2020, 19.87% in the fiscal year ended September 2021, 24.53% in the fiscal year ended September 2022, and 23.00% in the fiscal year ended September 2023.」
While continuing matching-improvement measures through the recommendation system and other initiatives, the application screening pass rate declined from 24.53% in the fiscal year ended September 2022 to 23.00% in the fiscal year ended September 2023. - FY2023-Q3RestatedAnnual report
「The Company is undertaking various initiatives that leverage Green's unique competitive advantages in the recruitment market, including expanding content to improve matching efficiency between companies posting job openings and job seekers, improving recommendation accuracy through big data analysis, and strengthening web marketing and other measures to increase the number of registered users.」
For Green, continues matching-improvement measures including content expansion, improved recommendation accuracy through big data analysis and strengthened Web marketing. - FY2023-Q2RestatedAnnual report
「The Company is undertaking various initiatives that leverage Green's unique competitive advantages in the recruitment market, including expanding content to improve matching efficiency between companies posting job openings and job seekers, improving recommendation accuracy through big data analysis, and strengthening web marketing and other measures to increase the number of registered users.」
For Green, continues measures including content expansion, improved recommendation accuracy through big data analysis and strengthened Web marketing. - FY2023-Q1RestatedAnnual report
「The Company is undertaking various initiatives that leverage Green's unique competitive advantages in the recruitment market, including expanding content to improve matching efficiency between companies posting job openings and job seekers, improving recommendation accuracy through big data analysis, and strengthening web marketing and other measures to increase the number of registered users.」
For Green, continues to implement measures including content expansion, improved recommendation accuracy through big data analysis and strengthened Web marketing. - FY2022AdvancedAnnual report
「We have undertaken various initiatives leveraging Green's distinctive competitive advantages in the recruitment market, including expanding content to improve matching efficiency between client companies and job seekers, improving recommendation accuracy through big data analysis, and strengthening Web marketing to increase the number of registered users. The trend in our application screening pass rate was 13.00% in the fiscal year ended September 2013, 18.55% in the fiscal year ended September 2014, 26.09% in the fiscal year ended September 2015, 28.42% in the fiscal year ended September 2016, 29.29% in the fiscal year ended September 2017, 29.74% in the fiscal year ended September 2018, 26.30% in the fiscal year ended September 2019, 19.61% in the fiscal year ended September 2020, 19.87% in the fiscal year ended September 2021, and 24.53% in the fiscal year ended September 2022.」
While continuing matching-improvement measures, the application screening pass rate rose from 19.87% in the fiscal year ended September 2021 to 24.53% in the fiscal year ended September 2022. - FY2022-Q3RestatedAnnual report
「We have undertaken various initiatives leveraging Green's distinctive competitive advantages in the recruitment market, including expanding content to improve matching efficiency between client companies and job seekers, improving recommendation accuracy through big data analysis, and strengthening Web marketing to increase the number of registered users.」
For Green, continues measures including content expansion, improved recommendation accuracy through big data analysis and strengthened Web marketing. - FY2022-Q1RestatedAnnual report
「We have undertaken various initiatives leveraging Green's distinctive competitive advantages in the recruitment market, including expanding content to improve matching efficiency between client companies and job seekers, improving recommendation accuracy through big data analysis, and strengthening Web marketing to increase the number of registered users.」
For Green, continues measures including content expansion, improved recommendation accuracy through big data analysis and strengthened Web marketing. - FY2021AdvancedAnnual report
「We have undertaken various initiatives leveraging Green's distinctive competitive advantages in the recruitment market, including expanding content to improve matching efficiency between client companies and job seekers, improving recommendation accuracy through big data analysis, and strengthening Web marketing to increase the number of registered users. The trend in our application screening pass rate was 13.00% in the fiscal year ended September 2013, 18.55% in the fiscal year ended September 2014, 26.09% in the fiscal year ended September 2015, 28.42% in the fiscal year ended September 2016, 29.29% in the fiscal year ended September 2017, 29.74% in the fiscal year ended September 2018, 26.30% in the fiscal year ended September 2019, 19.61% in the fiscal year ended September 2020, and 19.87% in the fiscal year ended September 2021.」
Continued matching-improvement measures, with the application screening pass rate edging up from 19.61% in the fiscal year ended September 2020 to 19.87% in the fiscal year ended September 2021. - FY2021-Q3RestatedAnnual report
「We have undertaken various initiatives, including expanding content to improve matching efficiency between client companies and job seekers, improving recommendation accuracy through big data analysis, and strengthening Web marketing to increase the number of registered users.」
Has continued matching-improvement measures, including content expansion, improved recommendation accuracy through big data analysis and strengthened Web marketing. - FY2021-Q2RestatedAnnual report
「We have undertaken various initiatives, including expanding content to improve matching efficiency between client companies and job seekers, improving recommendation accuracy through big data analysis, and strengthening Web marketing to increase the number of registered users.」
For Green, continues to expand content, improve recommendation accuracy through big data analysis, and strengthen Web marketing. - FY2021-Q1RestatedAnnual report
「We have undertaken various initiatives, including expanding content to improve matching efficiency between client companies and job seekers, improving recommendation accuracy through big data analysis, and strengthening Web marketing to increase the number of registered users.」
For Green, continues to expand content, improve recommendation accuracy through big data analysis, and strengthen Web marketing. - FY2020-Q3RestatedAnnual report
「On our success-fee-based recruitment platform Green, we are continuing various initiatives from the previous fiscal year, including expanding content to improve matching efficiency between client companies and job seekers, improving recommendation accuracy through big data analysis, and strengthening Web marketing to increase the number of registered users.」
For Green, continues to expand content, improve recommendation accuracy through big data analysis, and strengthen Web marketing. - FY2020-Q2RestatedAnnual report
「On our success-fee-based recruitment platform Green, we are continuing various initiatives from the previous fiscal year, including expanding content to improve matching efficiency between client companies and job seekers, improving recommendation accuracy through big data analysis, strengthening Web marketing to increase the number of registered users, and conducting trial campaigns for mass-market video advertising.」
Has continued Green's content expansion, big data analysis, improved recommendation accuracy, Web marketing and trial campaigns for mass-market video advertising. - FY2020-Q1RestatedAnnual report
「On our success-fee-based recruitment platform Green, we are continuing various initiatives from the previous fiscal year, including expanding content to improve matching efficiency between client companies and job seekers, improving recommendation accuracy through big data analysis, strengthening Web marketing to increase the number of registered users, and conducting trial campaigns for mass-market video advertising.」
Has continued Green's initiatives, including content expansion, big data analysis, improved recommendation accuracy and Web marketing. It also describes trial campaigns for mass-market video advertising, primarily as a measure to acquire registered users. - FY2019Decline in the application screening pass rateAnnual report
「By analysing this accumulated data, we have developed a recommendation system that delivers optimised job information to job seekers considering a career change and optimised job-seeker information to client companies seeking to recruit, and we are working to improve the application screening pass rate. The rate was 26.3% in the fiscal year ended September 2019.」
While continuing efforts to improve the application screening pass rate through the recommendation system and other measures, the rate declined from 29.74% in the fiscal year ended September 2018 to 26.3% in the fiscal year ended September 2019. - FY2019-Q3RestatedAnnual report
「On our success-fee-based recruitment platform Green, we are continuing various initiatives from the previous fiscal year, including expanding content to improve matching efficiency between client companies and job seekers, improving recommendation accuracy through big data analysis, strengthening Web marketing to increase the number of registered users, and improving the client-company management interface.」
Has continued Green's content expansion, big data analysis, improved recommendation accuracy, Web marketing and improvements to the client-company management interface. - FY2019-Q2RestatedAnnual report
「On our success-fee-based recruitment platform Green, we are continuing various initiatives from the previous fiscal year, including expanding content to improve matching efficiency between client companies and job seekers, improving recommendation accuracy through big data analysis, strengthening Web marketing to increase the number of registered users, and improving the client-company management interface.」
Has continued Green's content expansion, big data analysis, improved recommendation accuracy, Web marketing and improvements to the client-company management interface. - FY2019-Q1RestatedAnnual report
「On our success-fee-based recruitment platform Green, we are continuing various initiatives from the previous fiscal year, including expanding content to improve matching efficiency between client companies and job seekers, improving recommendation accuracy through big data analysis, strengthening Web marketing to increase the number of registered users, and improving the client-company management interface.」
Has continued content expansion, big data analysis, improved recommendation accuracy, Web marketing and improvements to the client-company management interface. - FY2018AdvancedAnnual report
「By analysing this accumulated data, we have developed a recommendation system that delivers optimised job information to job seekers considering a career change and optimised job-seeker information to client companies seeking to recruit, and we are working to improve the application screening pass rate. The trend in our application screening pass rate was 13.00% in the fiscal year ended September 2013, 18.55% in the fiscal year ended September 2014, 26.09% in the fiscal year ended September 2015, 28.42% in the fiscal year ended September 2016, 29.29% in the fiscal year ended September 2017, and 29.74% in the fiscal year ended September 2018.」
Shows Green's application screening pass rate rising from 29.29% in the fiscal year ended September 2017 to 29.74% in the fiscal year ended September 2018. - FY2018-Q3RestatedAnnual report
「Against this business environment, on our success-fee-based recruitment platform Green, we are continuing various initiatives from the previous fiscal year, including expanding content to improve matching efficiency between client companies and job seekers, improving recommendation accuracy through big data analysis, strengthening Web marketing to increase the number of registered users, and improving the client-company management interface.」
Describes the continued implementation of content expansion, big data analysis, improved recommendation accuracy, Web marketing and improvements to the client-company management interface. - FY2018-Q2RestatedAnnual report
「On our success-fee-based recruitment platform Green, we are continuing various initiatives from the previous fiscal year, including expanding content to improve matching efficiency between client companies and job seekers, improving recommendation accuracy through big data analysis, strengthening Web marketing to increase the number of registered users, and improving the client-company management interface.」
Describes the continued implementation of content expansion, big data analysis, improved recommendation accuracy, Web marketing and improvements to the client-company management interface. - FY2017AdvancedAnnual report
「By refining this matching technology and continuously accumulating data, we will provide a lower-cost, more efficient alternative to the matching of job seekers and client companies that was traditionally mediated by recruitment agency advisers through manual, closed processes. The rate was 29.29% in the fiscal year ended September 2017.」
Green's application screening pass rate, supported by big data analysis and other measures, rose from 28.42% in the fiscal year ended September 2016 to 29.29% in the fiscal year ended September 2017. - FY2017-Q3RestatedAnnual report
「Against this business environment, on our success-fee-based recruitment platform Green, we are continuing various initiatives from the previous fiscal year, including expanding content to improve matching efficiency between client companies and job seekers, improving recommendation accuracy through big data analysis, strengthening Web marketing to increase the number of registered users, and measures to acquire new registered client companies.」
Has continued Green's matching-improvement measures, including content expansion, big data analysis and improved recommendation accuracy. - FY2017-Q2RestatedAnnual report
「Against this business environment, on our success-fee-based recruitment platform Green, we are continuing various initiatives from the previous fiscal year, including expanding content to improve matching efficiency between client companies and job seekers, improving recommendation accuracy through big data analysis, strengthening Web marketing to increase the number of registered users, and measures to acquire new registered client companies.」
Has continued matching-improvement measures from the previous fiscal year, including content expansion, big data analysis and improved recommendation accuracy. - FY2016AdvancedAnnual report
「We aim to use Green to replace traditional recruitment agency services. The trend in our application screening pass rate was 6.24% in the fiscal year ended September 2010, 9.65% in the fiscal year ended September 2011, 10.11% in the fiscal year ended September 2012, 13.00% in the fiscal year ended September 2013, 18.55% in the fiscal year ended September 2014, 26.09% in the fiscal year ended September 2015, and 28.42% in the fiscal year ended September 2016.」
Describes the results of matching improvements using big data analysis and other measures, with the application screening pass rate rising from 26.09% in the previous fiscal year to 28.42% in the fiscal year ended September 2016. - FY2016-Q3First statedAnnual report
「On Green, we have continued to undertake various initiatives, including expanding content to improve matching efficiency between client companies and job seekers, improving recommendation accuracy through big data analysis, strengthening Web marketing to increase the number of registered users, and measures to acquire new registered client companies.」
Describes content expansion and improved recommendation accuracy through big data analysis as specific measures to improve matching efficiency.