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

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Presentation transcript:

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

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

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

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

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

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

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

Domain Integration

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

Measuring the Results Mean Absolute Error – Coverage –

Preliminary Results

Future Work

Questions?