Practice lab: Collaborative Filtering Recommender Systems(实践实验室:协同过滤推荐系统) In this exercise, you will implement collaborative filtering to build a recommender system for movies. 在本次实验中，你将实现协同过滤来构建一个电

Practice lab: Collaborative Filtering Recommender Systems(实践实验室:协同过滤推荐系统) In this exercise, you will implement collaborative filtering to build a recommender system for movies. 在本次实验中，你将实现协同过滤来构建一个电

论文：Learning to Embed Categorical Features without Embedding Tables for Recommendation 1. Introduction   embedding learning 很重要，是模型的奠基石。本文面向类别特征（如id类）。但在RecSys中面临很多挑战：    - huge vocabulary size：RecSy