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Published byErin Charles Modified over 9 years ago
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Domain Integration Techniques for Discovering Hidden Clusters using Collaborative Filtering Brandy Brewster
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What is a Recommender System? Existing information Ratings Prediction User/Item pairs
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How do they work? Collaborative Filtering –Rating-to-Rating –Amazon.com Semantic/Content Based Filtering –Item-to-Item –Netflix.com
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Caveats Shortcomings of current algorithms –Netflix 8.5% improvement Scarcity of data
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The Data GroupLens –MovieLens –Book-Crossing Baylor Library –Marc Records Amazon –Web Services
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The Data GroupLens –MovieLens –Book-Crossing Baylor Library –Marc Records Amazon –Web Services
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The Data GroupLens –MovieLens –Book-Crossing Baylor Library –Marc Records Amazon –Web Services
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Domain Integration
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Testing the System Data Set –278,858 users total Test Set –27,081
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Measuring the Results Mean Absolute Error – Coverage –
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Preliminary Results
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Future Work
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Questions?
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