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Gunosy (6047) · InitiativeRestatedLatest Earnings presentation (2026-10-14): "Advanced"

Personalized Delivery Using Algorithms and Machine Learning

First written in FY2016. 7 of 11 entries say "Restated". Latest entry: 2026-10-14.

11entries
11years
1from disclosures
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How it moved
ProgressHeldSoftenedWorseRestatedFY2017 – FY2022RestatedFY2023-Q2 – FY20232016: 22017: 120172018: 020182019: 120192020: 120202021: 120212022: 220222023: 220232024: 020242025: 020252026: 12026
Same theme, other companies
Research, development and horizontal deployment of AI and deep-learning platformsA theme 19 companies write about · 0 as a headwind · 21 as a tailwind

The whole theme swung hardest in 2018: 1 of 8 companies on the "Worse" side.

9 other companies' latest entry also says "Advanced".

Ridges = years it wrote progress, valleys = years it wrote worse. Most hopeful companies at the back. Drag to turn, scroll to zoom, right-drag to pan. On a phone, two fingers turn and pinch to zoom; one finger scrolls the page.
Showing 14 of the 19 companies compared. The sentences above are computed from all 19.
Full recordFilings, disclosures and news, newest first
  1. 2026-10-14AdvancedEarnings presentation

    「参加型・個別最適化した体験への転換」

    従来のパーソナライズ配信から、参加型・個別最適化した体験への転換を事業構造改革のテーマとして具体化した。
  2. FY2023RestatedAnnual report

    「We analyze and learn users’ interests through machine learning algorithms and deliver the information users seek.」

    The company continues to use personalized distribution through algorithms and machine learning as a core means across Gunosy, News Pass, au Service Today and other services.
  3. FY2023-Q2RestatedAnnual report

    「During the second quarter of the current fiscal year, retention of new users acquired during the quarter remained stable. Long-term retention also continued to show an improving trend as a result of improvements to algorithms and notification functions.」

    The company states that the improving trend in long-term retention was maintained through improvements to algorithms and notification functions.
  4. FY2023-Q1AdvancedAnnual report

    「After advertising investment resumed in the previous fiscal year, retention of new users improved steadily. Long-term retention also showed an improving trend as a result of improvements to algorithms and notification functions.」

    The company states that improvements to algorithms and notification functions led to an improving trend in long-term retention.
  5. FY2022RestatedAnnual report

    「We analyze and learn users’ interests through machine learning algorithms and deliver the information users seek.」

    The company continues to use personalized distribution through algorithms and machine learning as a core means of distributing information across 4 services.
  6. FY2021RestatedAnnual report

    「We analyze and learn users’ interests through machine learning algorithms and deliver the information users seek.」

    The company continues to use personalized distribution through algorithms and machine learning as a core means of distributing information across 4 services.
  7. FY2020RestatedAnnual report

    「We analyze and learn users’ interests through machine learning algorithms and deliver the information users seek.」

    The company continues to use analysis and distribution of information through algorithms and machine learning as a core means.
  8. FY2019RestatedAnnual report

    「We analyze and learn users’ interests through machine learning algorithms applied to the vast amount of information available on many news sites, blogs and other sources, and deliver the information users seek.」

    The company continues to use analysis and distribution of information through algorithms and machine learning as a core means.
  9. FY2017RestatedAnnual report

    「By replacing manual collection and organization of information with artificial intelligence technologies, including algorithms, we are creating media with high profitability and neutrality.」

    The company has reaffirmed information processing using algorithms and artificial intelligence as a core means of creating media with high profitability and neutrality.
  10. FY2017-Q1AdvancedAnnual report

    「To improve the usability of Gunosy and News Pass, we have worked daily to improve the user interface and user experience. During the first quarter of the current fiscal year, we introduced an age-estimation algorithm to improve the accuracy of our distribution logic.」

    An age-estimation algorithm was introduced to improve the accuracy of the distribution logic.
  11. FY2016First statedAnnual report

    「We analyze and learn users’ interests through machine learning algorithms applied to the vast amount of information available on many news sites, blogs and other sources, and deliver the information users seek.」

    This is described as the core means of collecting and organizing information using artificial intelligence and algorithms and delivering personalized information.
Moved together

"Improving the User Interface and User Experience" moved the same way as this thread, in the same document, in 3 of its 11 moves.

322★123
  1. ★This thread
  2. 1Improving the User Interface and User Experience3×
  3. 2New Businesses, External Technology Provision, and External Investments Focused on DX2×
  4. 3Expansion of Gunosy's download count2×

★ is this thread; numbers match the list above. The number on a line is how many documents both moved the same way in; lines between the other threads count the documents they moved together in too. Threads that move together often sit closer.

When this could move next
No upcoming earnings preview for Gunosy yet. It last moved in the Earnings presentation of 2026-10-14: "Advanced".
News
No news is linked to this thread yet. When an article touches it, it will appear here by date.
Personalized Delivery Using Algorithms and Machine Learning | Gunosy Inc. (6047) | Komori