Download your free copy of our Recommendations Systems
This white paper gives an overview of how Intechnica approaches recommendation systems and summarises the different applications that we’ve built for clients. There are often a variety of options available when it comes to deciding which system best fits your purpose; the aim of this white paper is to give businesses an insight into the different choices to help them make more informed decisions.
It also covers how Intechnica overcomes the cold start problem and still produces personalised recommendations.
About The Author
Oliver Benham is part of the Data Science team at Intechnica. His areas of expertise include deep learning, with an emphasis on computer vision, and recommendation systems. He takes an active role in the full project lifecycle, from the sales process through to delivery. His latest projects have involved developing an android app that uses computer vision to detect specific content on a user’s device and building a recommendation system for a fast fashion business.