The large amount of information collected from each user feeds the recommendations engine to offer each user the most relevant content for him, thereby significantly increasing the rates of permanence and fidelity.
By having aggregate information, it recommends content to each user consistently for each platform and allows us:
- Gamify to enrich user profile. The system suggests to users different topics that may be of interest to complement their profile and dynamically adjust the recommendations as the preferences of each user change.
- Audit system to explain the reason for the recommendations. The administrator may ask the system why the recommendations to better understand the correlations and to verify that the business rules act as planned.
- Parametric business rules to define different criteria of recommendation.The administrator can define multiple instances with different criteria of recommendations to be used in the different cases of use that it requires (according to platform, according to type of user, ...)