As a Data Scientist at a retail company, you are tasked with enhancing the customer shopping experience by recommending products based on their purchasing history and preferences. The company has a vast inventory but limited historical data on customer purchases. You need a method that can efficiently identify product affinities to recommend complementary products, even with sparse data. Which of the following techniques would be most effective for this purpose? (Choose one correct option)