AI Curation

200,000 pieces of content.
Show only what matters.

AI analyzes each learner's behavior history, role, and interests to recommend personalized content. It finds the right learning from 6,000 e-learning courses and 200,000 short-forms.

Behavior-based

Analyzes content viewed, courses completed, and time spent to recommend the next learning step.

Trending Searches

Surfaces trending content based on the most-searched keywords within your organization.

Related Content

Auto-connects advanced and supplementary content that follows the topic currently being studied.

Similar Learners

Recommends content viewed by peers with similar learning patterns — same role, similar experience.

Content Curation

Personalized content,
curated learning starts here

When learners select their interests, AI analyzes competencies and learning history
to curate personalized content from 200,000 items.

  • 1 Select interest tags → auto-filter by competency
  • 2 Recommendation accuracy improves as learning history builds
  • 3 A different personalized home screen every time you log in

A different home screen
every time you log in

  • Start with a default home. As learning begins, AI analyzes interests and competencies. Once interest tags accumulate, competency-based recommendations activate. The final stage delivers precision personalization based on learning history. A refresh function lets learners discover new content even within the same interest areas.

    Default → Interests → Competency → Precision
  • Sales gets product knowledge and selling skills, engineering gets tech trends, management gets leadership content. Content from 20+ categories (IT trends, languages, org management, certifications, DT/DX, compliance, etc.) is auto-filtered by role.

    20+ categories auto-matched
  • Learners start with a 1-minute short-form. When interest sparks, they seamlessly transition to the full e-learning course. 200,000 short-forms and 6,000 courses are topic-linked, creating an unbroken path from discovery to deep learning.

    Short-form → e-learning auto-connection
4-stage Personalization Process
1
Default Home
Recommendations based on overall popular content
2
Interest Analysis
3+ views → auto-generate interest tags
3
Competency-based
Role mapping → category-specific curation
4
Precision Personalization
History-based AI recommendations + refresh
A different home screen every login
Role-based Content Matching
S. Kim, Manager
Sales Team 2 · 3 years
Sales Skills Product Knowledge Communication Presentation Finance
1
Customer Needs Analysis
Sales Skills · B2B Sales
98%
2
Proposal Writing Mastery
Product Knowledge · Documentation
94%
3
The Art of Negotiation
Sales Skills · Leadership
91%
4
CRM Data Strategy
Product Knowledge · Data Analysis
87%
5
Remote Sales Communication
Communication · Online Meetings
84%
20+ categories auto-matched
Short-form → Full Course Auto-connection
1-min Short
Interest Sparked
E-learning Course
200,000 short-forms ↔ 6,000 e-learning courses linked by topic
[Short] AI Trends in 60 Seconds
Views 1,240 · Completion 87%
↓ 68% of interested learners continue
[Course] Practical AI for Work
12 sessions · Completion 72%
Connection Status
[Short] 3 Leadership Principles
Views 980 · Completion 91%
↓ 54% of interested learners continue
[Course] Team Management for Leaders
8 sessions · Completion 65%
Discovery → deep learning auto-connection

Without enough content,
recommendations are meaningless

  • TouchContents provides e-learning across 20+ categories: IT trends, languages, org management, certifications, finance, DT/DX, compliance, leadership, humanities, and more. Customer-created content is also included in the curation pool.

    TouchContents 6,000+ courses
  • AI auto-segments existing e-learning content into short-forms. 5 formats: landscape video, portrait video, card news, quiz, and opinion. Under 1-minute content for commute or lunch break learning.

    AI auto-segmentation → 5 short-form types
  • The goal of curation is not completion rates — it's building access habits. When role-relevant content keeps appearing, learners return voluntarily. From 100+ company data: companies that supply content weekly with personalization maintain 30-50% off-season MAU. When supply stops, MAU crashes within 2 months.

    Off-season MAU: 30-50% maintained
TouchContents E-learning Library
IT Trends
820
🌐
Languages
640
Management
580
📜
Certifications
450
🔄
DT/DX
720
⚖️
Compliance
380
Total 6,000+ courses · 20+ categories
Customer content included in curation pool
AI Auto-segmentation — 5 Short-form Types
🎬
Landscape
48,200
Portrait
35,800
📜
Card News
52,100
Quiz
41,600
Opinion
22,300
1 e-learning course → 30-40 short-forms auto-generated
1-minute learning during commute or lunch
MAU Change by Content Supply Frequency
Weekly+ supply
Supply stopped
JanFebMarAprMayJunJulAug
30-50%
Off-season MAU (supply maintained)
5-10%
Off-season MAU (supply stopped)
Based on 100+ company operations data

Admins use
curation too

  • Enter a job title and AI builds a matching learning path automatically. It selects and sequences appropriate content from 6,000 e-learning courses and 200,000 short-forms. Eliminates the time admins spend manually assigning courses one by one.

    Auto learning path by job title
  • Surfaces content based on trending search keywords within the organization. With 700+ new courses added annually, recommendation lists auto-update to match trend changes. No more monthly manual content selection by admins.

    700+ new courses auto-reflected annually
  • See which recommendations drove actual learning with data. View recommendation click rates, completion rates, and off-season MAU changes on the dashboard. From 100+ company data: companies supplying content weekly maintained 70-95% MAU.

    MAU 70-95% with consistent supply
AI Auto Learning Path Builder
🔧
Role: Junior Marketer
AI-generated learning path
1
Digital Marketing Basics
E-learning 8 sessions · Required
2
Data Analysis Intro
E-learning 12 sessions · Recommended
3
Content Planning Practice
24 short-forms + 6 e-learning sessions
4
AI Marketing Tools
E-learning 10 sessions · Advanced
Enter job title → auto-generated path
Organization Trend Keywords
AI Tools Data Analysis ESG Leadership DX Transformation Languages
This Week's Popular Content
1
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New · 2,840 views
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2
Data Analysis Without Excel
New · 1,920 views
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3
ESG Fundamentals for Practitioners
1,450 views
↑3
724
Courses added this year
38
Trending keywords
Auto
List refresh
700+ new courses auto-reflected annually
Curation Performance Dashboard
42%
Recommendation CTR
78%
Recommended content completion
85%
Peak season MAU
47%
Off-season MAU
Curation Response Rate by Department
Sales
82%
Marketing
76%
Dev
58%
Weekly+ supply = MAU 70-95%

Bulk Distribution vs Personalization

Category Bulk Distribution AI Curation
Content Display Same list for all employees Role & history-based personal recommendations
Motivation Only log in during mandatory training Discover interesting content → voluntary access
Off-season MAU 5-10% 30-50%
Content Consumption Only complete assigned courses Short-form → full course connection expands consumption

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