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02/26/2023
P4L: Privacy Preserving Peer-to-Peer Learning for Infrastructureless Setups
Distributed (or Federated) learning enables users to train machine learn...
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11/05/2021
Supervised Advantage Actor-Critic for Recommender Systems
Casting session-based or sequential recommendation as reinforcement lear...
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10/28/2021
Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning
Since the inception of Recommender Systems (RS), the accuracy of the rec...
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03/05/2021
Graph Convolutional Embeddings for Recommender Systems
Modern recommender systems (RS) work by processing a number of signals t...
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01/22/2021
My Mouse, My Rules: Privacy Issues of Behavioral User Profiling via Mouse Tracking
This paper aims to stir debate about a disconcerting privacy issue on we...
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01/22/2021
Impact of Response Latency on User Behaviour in Mobile Web Search
Traditionally, the efficiency and effectiveness of search systems have b...
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01/22/2021
Query Abandonment Prediction with Recurrent Neural Models of Mouse Cursor Movements
Most successful search queries do not result in a click if the user can ...
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06/10/2020
Self-Supervised Reinforcement Learning forRecommender Systems
In session-based or sequential recommendation, it is important to consid...
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06/10/2020
Self-Supervised Reinforcement Learning for Recommender Systems
In session-based or sequential recommendation, it is important to consid...
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05/30/2020
Learning Efficient Representations of Mouse Movements to Predict User Attention
Tracking mouse cursor movements can be used to predict user attention on...
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04/09/2020
Graph Highway Networks
Graph Convolution Networks (GCN) are widely used in learning graph repre...
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01/21/2020
A Price-Per-Attention Auction Scheme Using Mouse Cursor Information
Payments in online ad auctions are typically derived from click-through ...
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08/15/2018
A Simple but Hard-to-Beat Baseline for Session-based Recommendations
Convolutional Neural Networks (CNNs) models have been recently introduce...
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07/06/2018
