A Performant Recommender System Without Cold Start Problem

Author:Murphy  |  View: 27594  |  Time: 2025-03-23 19:58:05

Recommendation System

Photo by Ivan Aleksic on Unsplash

Perhaps the most famous recommender system is the so-called matrix factorization. In this collaborative recommender, users and items are represented with an embedding, which is nothing more but a vector of numbers. The intuition is that the dot product of the user and the item embedding should result in the rating that the user would give this item.

If you are not yet familiar with these concepts, I recommend (

Tags: Artificial Intelligence Editors Pick Machine Learning Recommendation System Recommender Systems

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