Recommendation Systems and Personalisation
Recommendation drives a large share of what customers see and buy, and gets worse when it is built without regard for cold starts and feedback loops. This course covers building and evaluating recommenders.
Course outline
What this programme covers, module by module.
- 01Where recommendation actually drives value
- 02Collaborative and content based approaches
- 03Cold start: new users, new items and no history
- 04Relevance, diversity and avoiding narrow recommendations
- 05Evaluation beyond click through rates
- 06Feedback loops, popularity bias and their consequences
- 07Deployment, monitoring and responsible personalisation
What you will gain
- Explain the main recommendation approaches
- Handle new users and new items with no history
- Balance relevance against discovery and variety
- Evaluate recommendations beyond click rates
- Recognise feedback loops that narrow what users see
- Deploy and monitor a recommender responsibly
Who should attend
- Data scientists and analysts
- Digital product and merchandising staff
- Marketing technology teams
- Engineers building customer facing systems
Upcoming sessions
| Date | City | Duration | Fees | Book |
|---|---|---|---|---|
| 9 to 11 Nov 2026 | Durban | 3 Days | R13,000 | |
| 23 to 25 Nov 2026 | Cape Town | 3 Days | R13,000 | |
| 7 to 9 Dec 2026 | Johannesburg | 3 Days | R13,000 | |
| 11 to 13 Jan 2027 | London | 3 Days | US$1,500 | |
| 9 to 11 Feb 2027 | Dubai | 3 Days | US$1,500 | |
| 19 to 21 Apr 2027 | Pretoria | 3 Days | R13,000 | |
| 28 to 30 Jun 2027 | Durban | 3 Days | R13,000 |
Fees are per delegate and exclude VAT. Public intakes are confirmed once minimum numbers are met. We also deliver this course on your own schedule, in-house or live online.
Enquire about this course
Register your team or ask for a tailored in-house quote. We reply within one working day.
WhatsApp usCourse brochure (PDF)- Fees from
- R13,000 per delegate
- Duration
- 3 Days
- Field
- Artificial Intelligence & Emerging Technology
- Formats
- In-house, public, online
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