Recommendation engine for Editorial content
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Esigenza
Develop a propensity model to populate a “Chosen for You” content recommendation box.
Approccio
Implement three engines:
- themes collector to gather trends and tendencies from the web
- semantic engine to create precise content profiles
- statistical engine to provide accurate propensity models
Risultato
A server-side application that recommends the most relevant articles in real time for each user, based on their profile, session, and context. Delivers more than 2x the performance of the previous recommendation system.
Categorie
Type
AI & Data Science
Need
Benefit
Business function
Industry
Business Model
Business Size
