International Business Machines Corporation
Personalized recommender with limited data availability

Abstract:

In some examples, a system for generating personalized recommendation includes a processor that can perform an initial training for a deep reinforcement learning (DRL) model using domain knowledge, available users data, and an items list. The processor also inputs users data and an items list to the trained DRL model to generate an initial list of recommended items. The processor also inputs the initial list of recommended items and a user profile to a content-based filter to generate a final list of recommendations for a target user.