REINFORCEMENT LEARNING SYSTEM FOR RECOMMENDED ASSOCIATIONS

摘要

In various embodiments, a reinforcement learning system is disclosed that identifies recommended associations for users. The reinforcement learning system may store a dataset including preference information that indicates associations between items and the users. A recommended association between a particular user and one or more items may be requested. The reinforcement learning system may select a predicted preference identification algorithm for the particular user based on preference information of the user, information about the items, a recommendation goal, or a combination thereof. The reinforcement learning system may determine a recommended association using the predicted preference identification algorithm and may send the recommended association to the particular user. In some cases, feedback may be used to select a different predicted preference identification algorithm for the user.