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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
Amazon S3