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  4. More Like This: similarity-based recommendations

Feb

23

Friday

More Like This: similarity-based recommendations

5.00pm

Seminars

Staff, Students, Academics

Speaker: Gary Verhaegen from Sparrho

Research Centre: Research Centre for Machine Learning

Abstract:

Targeting the right person is crucial in marketing: a correct recommendation can lead to an additional sale, whereas an inaccurate one leads to your emails being marked as spam. Given a database of customers and existing products, how do you find out which campaign should be sent to whom? In this talk, we will walk through a concrete project exploring that question, starting with the context of a commercial research centre. We will then look at how to validate the results (before we have any), and explain, at a fairly high level, some of the algorithms that can be used to resolve that question.

Bio:

Gary is a software engineer at Sparrho (www.sparrho.com), where he is helping to make scientific knowledge discoverable and accessible to everyone. Before that, he has worked for Condé Nast international as a technical lead on an e-commerce platform, for Huawei as a software researcher, and for the university of Brussels as a research assistant in databases and event stream processing. His interests cover real-world software engineering, distributed systems, big data, machine learning, programming languages and computer science.

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When & where

5.00pm - 6.00pmFriday 23rd February 2018

AG21 College Building City, University of London St John Street London EC1V 4PB United Kingdom