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ml-recall

#nearest-neighbours

1 question from Nearest Neighbors & Kernel Methods

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Question 1: Short answer

mediumAI-checkedNearest Neighbors & Kernel Methods

User-based collaborative filtering predicts Ann's rating of a film from her two most similar users: Bob (similarity 0.9) rated it 4 and Cara (similarity 0.5) rated it 2. Using the similarity-weighted average r^=∑vsvrv/∑v∣sv∣\hat r = \sum_v s_v r_v / \sum_v |s_v|, what rating is predicted? Give 2 decimals.

a number, 2 decimals