Aug. 24, 2022, 6:49 p.m. | thelogicdudes

DEV Community dev.to




This article explains how to create a recommendation system using HarperDB and Custom Functions.


With HarperDB we are able to deploy a machine learning model to servers located on the edge of the Internet to provide users with content recommendations. We have two examples to demonstrate how this can be done: a book recommender and a song recommender.






An Intro to Recommendation Systems


Recommendation engines are the most universally used type of machine learning. We interact with them everywhere, …

database harperdb learning machine machine learning machinelearning programming recommendation recommendation engine tensorflow tutorial

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

AI Engineering Manager

@ M47 Labs | Barcelona, Catalunya [Cataluña], Spain