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The last ten years have seen a tremendous growth in Internet-based online services such as search, advertising, gaming and social networking. Today, it is important to analyze large collections of user interaction data as a first step in building predictive models for these services as well as learn ...

In this talk, I will talk about several of my experiences of technology transfer over the past 10 years at Microsoft, Facebook and Amazon. Technology transfer - the process of moving promising research topics into a level of maturity that's ready for bulk manufacturing or production - remains one of ...

Recently, learning deep models from dense data has received a lot of attention in tasks such as object recognition and signal processing. However, when dealing with non-sensory data about real-world entities, data is often sparse; for example people interaction with products in e-Commerce, people in ...

We present a probabilistic model for generating personalised recommendations of items to users of a web service. The system makes use of content information in the form of user and item meta data in combination with collaborative filtering information from previous user behavior in order to predict ...