Domonkos Tikk

The Contextual Turn

2016

A critical change has occurred in the status of context in recommender systems. In the past, context has been considered 'additional evidence'. This past picture is at odds with many present application domains, where user …

Session-based Recommendations with Recurrent Neural Networks

2015 · arXiv (Cornell University)

We apply recurrent neural networks (RNN) on a new domain, namely recommender systems. Real-life recommender systems often face the problem of having to base recommendations only on short session-based data (e.g. a small sportsware website) …

Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations

2016

Real-life recommender systems often face the daunting task of providing recommendations based only on the clicks of a user session. Methods that rely on user profiles -- such as matrix factorization -- perform very poorly …