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Framework
- A general 2-step process
- Look for users who share the same rating patterns with the active user (the one for which the prediction is made)
- Use the ratings of those found in step 1 to calculate a prediction
- Item-based filtering (used in Amazon.com)
- Build an item-to-item matrix determining the relationships between each pair of items
- Infer the user’s taste (i.e., the prediction) using the matrix
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