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Programming Assignment 3 Introduction to Recommender Systems Introduction to Recommender Systems Overview User user collaborative filtering Built in LensKit DAO utility and driver provided Implement scorer entirely on your own Introduction to Recommender Systems Requirements Implement item scorer with user user collaborative filtering Use cosine similarity between mean centered vectors Score with weighted average of mean centered ratings Use VectorSimilarity if you want Don t use lenskit knn Introduction to Recommender Systems Provided starting code Complete Maven project just import it Builds and runs but doesn t score Includes DAO classes from PA2 Fill in SimpleUserUserItemScorer Introduction to Recommender Systems Submitting Get assigned user item IDs from PA3 input distributor Submit output as Part 1 Submit code as Part 2 peer reviewed Introduction to Recommender Systems Peer Review Looking for sanity checking and verifying that you did the work not critical review Comment well When reviewing Does it look like they did the work Reasonably sane structure Non Java languages do your best or skip Pro

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