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7 [Read-Only]...6 Second Project • Implement collaborative filtering algorithm • Apply to (subset of) Netflix Prize data – 1821 movies, 28,978 users, 3.25 million ratings (*

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Page 1: 7 [Read-Only]...6 Second Project • Implement collaborative filtering algorithm • Apply to (subset of) Netflix Prize data – 1821 movies, 28,978 users, 3.25 million ratings (*

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Page 2: 7 [Read-Only]...6 Second Project • Implement collaborative filtering algorithm • Apply to (subset of) Netflix Prize data – 1821 movies, 28,978 users, 3.25 million ratings (*

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Page 3: 7 [Read-Only]...6 Second Project • Implement collaborative filtering algorithm • Apply to (subset of) Netflix Prize data – 1821 movies, 28,978 users, 3.25 million ratings (*

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Page 4: 7 [Read-Only]...6 Second Project • Implement collaborative filtering algorithm • Apply to (subset of) Netflix Prize data – 1821 movies, 28,978 users, 3.25 million ratings (*

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Page 5: 7 [Read-Only]...6 Second Project • Implement collaborative filtering algorithm • Apply to (subset of) Netflix Prize data – 1821 movies, 28,978 users, 3.25 million ratings (*

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Page 6: 7 [Read-Only]...6 Second Project • Implement collaborative filtering algorithm • Apply to (subset of) Netflix Prize data – 1821 movies, 28,978 users, 3.25 million ratings (*

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Second Project

• Implement collaborative filtering algorithm

• Apply to (subset of) Netflix Prize data– 1821 movies, 28,978 users, 3.25 million ratings (* - *****)

– To date: 11,615 submissions from 1960 teams

• Try to improve predictions

• Optional: Add your ratings & get recommendations

• Paper: Breese, Heckerman & Cadie, “Empirical Analysis of Predictive Algorithms for Collaborative Filtering” (UAI-98)