This post discusses the challenges of building recommender systems and introduces a design pattern consisting of four stages: Retrieval, Filtering, Scoring, and Ordering. Examples from companies like Meta, Netflix, and Pinterest are provided to illustrate this pattern. The post emphasizes the importance of understanding recommender systems beyond just the models.
Table of contents
Recommender Systems, Not Just Recommender ModelsBeyond Recommender ModelsMore items, more problemsAnything but that!Order up!4-Stage Recommender SystemsExamples in the WildComplex Systems3 Comments
Sort: