Recommender Systems: Text Classification & Naïve Bayes

In course

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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.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_1xlt7h05

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Ontological neighbourhood

Information engineering

Natural language processing: Topics in natural language processing

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