Content-based recommendation engines are typically done in two steps. In the first, a user-preference model is constructed using a set of predefined features. (For example, in the context of retail, we may have features like Price Sensitivity, Promotion Sensitivity, Coupon Redeemer, Calorie Counter, Working Mums, etc.) In the second step, products are mapped, either directly … More A Text-Based and Self-Adapting Product Recommendation Engine