Question 1 of 30
A retail company is implementing a recommendation engine to enhance customer experience and increase sales. They have collected data on customer purchases, browsing history, and product ratings. The company decides to use collaborative filtering as their primary method for generating recommendations. If the recommendation engine identifies that Customer A and Customer B have similar purchasing patterns, what is the most likely outcome of this analysis in terms of product recommendations for Customer A?
Customer A will receive recommendations for products that Customer B has purchased but Customer A has not.
Customer A will receive recommendations based solely on their own past purchases.
Customer A will receive a random selection of products from the entire inventory.
Customer A will receive recommendations based on the average ratings of all products.

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