Question on Big data

Exercise 1 : Recommendation systems (7 pts) You are the new manager for online sales products of an international company. 1. Give a brief overview of two main algorithm models for products recommendation that are reported in the literature. Provide their advantages and limitations. (3 pts) 2. Can clustering techniques be useful for recommendation algorithm ? Explain your answer and provide details. (2 pts) 3. In the case of your company, how are you going to proceed to implement a new efficient recommandation systems ? (2 pts)