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Start Date
10-17-2017 10:00 AM
Description
Introduction and Motivations
- Recommender Systems are intelligent programs that analyze patterns between items and users to predict the user’s taste.
Objective
- Design an efficient Active Learning Strategy to increase the explainability and the accuracy of an “Explainable Matrix Factorization” model.
Included in
Oct 17th, 10:00 AM
New Explainable Active Learning Approach for Recommender Systems
Introduction and Motivations
- Recommender Systems are intelligent programs that analyze patterns between items and users to predict the user’s taste.
Objective
- Design an efficient Active Learning Strategy to increase the explainability and the accuracy of an “Explainable Matrix Factorization” model.
