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Artificial Intelligence Task

Recommendation

The ability to suggest items or actions to users based on their and/or others previous behaviour is one of the most explored Artificial Intelligence Task. Recommendation models analyzes vast amounts of data to create a profile of the user's interests and needs. Then, it uses this information to suggest products, content, or services that are most likely to be relevant to the user.

Input

User profiles, preferences, and interaction journey

Output

Highly personalized recommendations (upsell, cross-sale, activation, etc)

Goal

To predict and suggest items a user will find valuable in the context of a strategy

Learning Strategy

Depending on the prediction evaluation metrics may be item or user centric

Evaluation Metric

Accuracy, precision, recall, and user interaction

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