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Joan Kusuma
Recommender Systems part 4: Candidate Generation - Content-Based Filtering
In this section, we will start to develop a second type of recommender system called content-based filtering algorithm. Collaborative vs...
Aug 3, 20234 min read
Project: Movie Recommender system with TensorFlow Recommenders and Netflix dataset
A recommendation system helps users find content in a large corpora, with 60% of watch time on Youtube coming from recommendations. With...
Aug 2, 20237 min read
Recommender Systems Part 3: Candidate Generation - Collaborative Filtering (continued)
Binary Labels: Favorites, Likes, and Clicks Many important applications of recommender systems or collaborative filtering algorithms...
Jul 28, 20234 min read
Recommender Systems part 2: Candidate Generation (Collaborative Filtering)
Candidate generation is the first stage of recommendation. Given a query, the system generates a set of relevant candidates. The two most...
Jul 27, 20234 min read
Recommender Systems part 1: Introduction
40 % of app installs on Google play come from recommendations and 60% of watch time on Youtube come from recommendations Terminology...
Jul 21, 20231 min read
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