Google’s RecSim is an Open Source Simulation Framework for Recommender Systems
The new framework enables the creation of simulation environments to study reinforcement learning algorithms in recommender systems.
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Recommendation systems are all around us and they are getting more sophisticated by the minute. While traditional recommender systems were focused on one-time recommendations based on user actions, new models effectively engage in sequential interactions to try to find the best recommendation based on the user behavior and preferences. This type of recommendation systems are known as collaborative interactive recommenders(CIRs) and have been triggered by advancements in areas such as natural language…
