45 citations · 169 across the 14 of their papers we have counts for
4 papers · 1 filter
Self-Supervised Reinforcement Learning for Recommender Systems
Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis +1
In session-based or sequential recommendation, it is important to consider a number of factors like long-term user engagement, multiple types of user-item interactions such as clic…
Learning Efficient Representations of Mouse Movements to Predict User Attention
Ioannis Arapakis, Luis A. Leiva
Tracking mouse cursor movements can be used to predict user attention on heterogeneous page layouts like SERPs. So far, previous work has relied heavily on handcrafted features, wh…
Graph Highway Networks
Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis +1
Graph Convolution Networks (GCN) are widely used in learning graph representations due to their effectiveness and efficiency. However, they suffer from the notorious over-smoothing…
A Price-Per-Attention Auction Scheme Using Mouse Cursor Information
Ioannis Arapakis, Antonio Penta, Hideo Joho +1
Payments in online ad auctions are typically derived from click-through rates, so that advertisers do not pay for ineffective ads. But advertisers often care about more than just c…