Three Unique Architectures For Deep Learning Based Recommendation Systems

Deep learning recommendation system architectures make use of multiple simpler approaches in order to remediate the shortcomings of any single approach to extracting, transforming and vectorizing a large corpus of data into a useful recommendation for an end user.

Neural Collaborative Filtering for Deep Learning Based Recommendation Systems | Architecture Breakdown & Business Use Case

Let's take a look at the architecture used to build neural collaborative filtering algorithms for recommendation systems

Recommender Systems For Business - A Gentle Introduction