What is the goal of collaborative filtering?Delivering recommended products or servicesCollaborating with other websites Filtering your audience based on demographicsDetermining what new customers do in their spare time

Which of the following techniques is commonly used in Recommendation Systems to suggest items based on user similarities?Review LaterCollaborative FilteringMatrix FactorizationContent-Based FilteringHybrid Filtering

1. Collaborative filtering could be based on all of these EXCEPT which?Browsing historySimilar customers' purchasesPurchase historyIn-store purchases

Which type of collaborative filtering algorithm utilizes item-item similarities to generate recommendations?Question 23Answera. Item-based collaborative filteringb.Matrix factorizationc.Content-based filteringd.User-based collaborative filtering

Recommendation systems based on collaborative filtering can suffer from the "cold start" problem.Review LaterTrueFalse

What is a recommendation system, what applications do recommendation systems have to business? Briefly describe two approaches to building recommendation systems – compare the approaches. Offer a simple (worked) example of one of the approaches in action. What are some of the possible applications of recommendation systems to fields outside business? To what extent do recommendation systems similar to and support the implementation of personalisation? 300 words limit