Data Science, AI, & Business (Posts about Recommender Systems)

Collaborative filtering algorithm

Jonathan Hari Napitupulu — Mon, 29 Sep 2014 00:39:59 GMT

Collaborative filtering algorithm

last video, how collaborative filtering first, given features, predict users rating. Then given, parameters of users get features for movies

Jonathan Hari Napitupulu — Mon, 29 Sep 2014 00:39:58 GMT

Collaborative filtering

will learn what features to use

sometimes the Recommender Systems face the product that are unrated. For the movie rating examples, sometimes there are movies that never rated by users, and Recommender Systems doesn't know how much the movie rated.

harijh2 — Fri, 16 May 2014 07:57:24 GMT

Implementation detail: Mean Normalization

By now, we already have quite a grasp about the Recommendation System and Collaboration Filtering algoirthm

harijh2 — Fri, 16 May 2014 06:40:30 GMT

Vectorization: Low Rank Matrix Factorization

harijh2 — Wed, 14 May 2014 07:24:18 GMT

Content-based Recommendation

in the last video, we are addressing Recommender Systems problem that have set of movies and set of users and the problem is try to recommend movies they never seen, how they would rate it

harijh2 — Wed, 14 May 2014 06:55:17 GMT

Problem Formulation

Recommender System is one of the most important application in Machine Learning.