– Zack de la Rocha tl;dr -> I collected an implicit feedback dataset along with side-information about the items. This dataset contains around 62,000 users and 28,000 items. All the data lives here inside of this repo. Enjoy! In a previous post, I wrote about how to use matrix factorization and explicit feedback data in order to build recommendation systems. This is data where a user has given a clear preference for an item such as a star rating for an Amazon product or a numerical rating f...
