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Lecture
Recommender Systems: Text Classification & Naïve Bayes
Description
This lecture covers content-based recommenders, vector space model, TF-IDF metric, text classification using Naïve Bayes, profile creation from words, TF-IDF vector space model, queries and recommendations, KNN classifier, Laplace smoothing, and the comparison between content-based and collaborative filtering in recommender systems.
Official source
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