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Recommender Systems (for those more interested in Artificial Intelligence) Seek to predict the preferences of a user over items (such as music, books, or movies) that they had not yet considered. Collaborative filtering The approach used in today’s recommender systems (e.g. Pandora, Amazon, and Netflix). Based on collecting preferences or taste information from many users. Recommendations for a user are built upon the ratings of similar users The key here is “similar users. How do we determine similarity among users? (similar users” in the most basic case are those who have similar ratings to the active user) Show transcribed image text Recommender Systems (for those more interested in Artificial Intelligence) Seek to predict the preferences of a user over items (such as music, books, or movies) that they had not yet considered. Collaborative filtering The approach used in today’s recommender systems (e.g. Pandora, Amazon, and Netflix). Based on collecting preferences or taste information from many users. Recommendations for a user are built upon the ratings of similar users The key here is “similar users. How do we determine similarity among users? (similar users” in the most basic case are those who have similar ratings to the active user)
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