
Article Recommenders For A Leading Newspaper
Project Details
A leading newspaper has asked London Data Consulting (LDC) to help them recommend more accurate news and articles to their customers.
Category:
A.I. and Data Science
Date:
2019-2020
The Challenge
The leading newspaper provider had more than 500,000 daily readers and several of their attributes were not structured in a way that could be easily analysed.
The other challenge was to consolidate all data to be able to build optimal machine learning algorithms to better classify and target customers.
How London Data Consulting Helped
London Data Consulting has built and tested various unsupervised and supervised machine learning algorithms.
The first unsupervised machine learning used was to better classify customers through their various attributes.
A supervised machine learning algorithm was then used to better target customers.
Some of the Data Tools We Used

TensorFlow

Spark MLlib

Keras
