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
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.