Personalised Recommendations in E-CommercePersonalisation is a typical Big Data problem. However, the ability to leverage data to produce suggestions that will be both relevant and interesting is a difficult task. This presentation looks at some of the algorithms we use for making good product recommendations in the e-commerce industry.

The Hut Group aims to be the World 's leading Online Health & Beauty Destination. We are currently the UK 's leading multi-website online retailer with rapidly growing international operations and a unique proprietary technology platform supporting our websites including market leaders www.myprotein.com, www.coggles.com and www.iwoot.com

Finally, the presentation will end with an announcement of The Hut Group Recommendation Challenge, a machine learning challenge with a £5000 prize up for grabs.

Wing Yung ChanWing Yung Chan is a Software Engineer and Researcher within the Technology & Innovation Team at The Hut Group. He was the first at the company to write an in-house recommendation system, which he developed as part of his final year dissertation. He graduated first in his class (Computer Science) from the University of Cambridge in July, 2013.

Ashley Ramrachia is Group Talent Director at The Hut Group with responsibility for hiring, developing and promoting the World's leading talent. He recently established the Group's industry pioneering Technology & Innovation team staffed by the brightest technical minds from Imperial and Cambridge. The group has a unique talent model offering significantly early responsibility to graduates, and has an average employee age of 25.