- Partition
- Split users into "light" and "heavy" users, based on how many movies they've rated total.
- Compute weighted average, giving more weight to the "heavy" users
- Remove users who only rate movies a 1 or 5 (extreme users)
- Calculate how much higher/lower a user typically rates their movies
- for a given user i who rated movies j, sum up and average (r_{i,j} - r_j_avg)
- Split data into multiples files for speed.
- one file for each movie? one file for each user?
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For CS156b. Iterative SVD for the Netflix challenge.
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