1. Domain Integration Techniques for Discovering Hidden Clusters using Collaborative Filtering Brandy Brewster

2. What is a Recommender System? Existing information Ratings Prediction User/Item pairs

3. How do they work? Collaborative Filtering –Rating-to-Rating –Amazon.com Semantic/Content Based Filtering –Item-to-Item –Netflix.com

4. Caveats Shortcomings of current algorithms –Netflix 8.5% improvement Scarcity of data

5. The Data GroupLens –MovieLens –Book-Crossing Baylor Library –Marc Records Amazon –Web Services

6. The Data GroupLens –MovieLens –Book-Crossing Baylor Library –Marc Records Amazon –Web Services

7. The Data GroupLens –MovieLens –Book-Crossing Baylor Library –Marc Records Amazon –Web Services

8. Domain Integration

9. Testing the System Data Set –278,858 users total Test Set –27,081

10. Measuring the Results Mean Absolute Error – Coverage –

11. Preliminary Results

12. Future Work

13. Questions?