Personalization, Algorithms, Recommendation System.
recommender system landscape, they each have their strengths and considerations. Predictions: A) Provide a clear numerical value indicating your potential likability of an item — they help quantify user preferences. B) However, they can be put to the test and might not always hit the mark, leading