Distributed (or Federated) learning enables users to train machine learn...
Casting session-based or sequential recommendation as reinforcement lear...
Since the inception of Recommender Systems (RS), the accuracy of the
rec...
Modern recommender systems (RS) work by processing a number of signals t...
This paper aims to stir debate about a disconcerting privacy issue on we...
Traditionally, the efficiency and effectiveness of search systems have b...
Most successful search queries do not result in a click if the user can
...
In session-based or sequential recommendation, it is important to consid...
In session-based or sequential recommendation, it is important to consid...
Tracking mouse cursor movements can be used to predict user attention on...
Graph Convolution Networks (GCN) are widely used in learning graph
repre...
Payments in online ad auctions are typically derived from click-through
...
Convolutional Neural Networks (CNNs) models have been recently introduce...
Not all smartphone owners use their device in the same way. In this work...