In content-based filtering, an item is recommended to a user based on whether other “similar” users like the item or not.

4. Question 4 In recommendation systems, one uses Beta-Gamma threshold learning for trade-off between exploration and exploitation: \theta = \alpha * \theta_{zero} + (1- \alpha) * \theta_{optimal}θ=α∗θzero​+(1−α)∗θoptimal​. Which of the…