Personalization, Algorithms, Recommendation System.
aggregate data and prevailing trends. Key Characteristics of Non-Personalized Recommenders Lack of Personalization: Non-personalized systems bypass individual preferences, generating identical recommendations for all users. This approach hinges on the assumption that the items that are popular