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  • Text Mining to extract content from Netflix Prize Movie Titles

    We recently published a recommender system built on collaborative filtering principles. While collaborative filtering proved effective in predicting ratings of movies by users based on historical community movie ratings, we would like to consider a content...
    Posted Sep 22 2009, 04:34 PM by n5712036 with | with no comments
    Filed under: Predictive Analytics, Pervasive DataRush, Multicore, parallel processing, Netflix, Netflix data, Netflix Prize, collaborative filter, data mining, knowledge discovery, KDD, dataflow, parallel data mining, SIGKDD, recommender, Zipfian, stopword, WordNet, information extraction, tokenizer, Zipf's law, text mining, stemmer
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