About the project
Play Sports Network (PSN) wanted to increase user engagement of their Global Cycling Network (GCN) social media app, allowing like-minded cycling enthusiasts to upload, share, comment on and consume content.
Ancoris was approached by PSN with a complex machine-learning problem, to develop a collaborative based recommendation engine to deliver personalised content feeds to users of the GCN app. Working closely with PSN’s data science team, Ancoris data and analytics practice delivered a leading-edge matrix factorisation model, trained using BigQuery ML. Ancoris also delivered reusable, high-value data assets, including a Single Customer View (SCV) and an engagement scoring algorithm that PSN will continue to leverage in future optimization.