963 citations · 2.6k across the 21 of their papers we have counts for
4 papers · 1 filter
Getting deep recommenders fit: Bloom embeddings for sparse binary input/output networks
Joan Serrà, Alexandros Karatzoglou
Recommendation algorithms that incorporate techniques from deep learning are becoming increasingly popular. Due to the structure of the data coming from recommendation domains (i.e…
Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks
Massimo Quadrana, Alexandros Karatzoglou, Balázs Hidasi +1
Session-based recommendations are highly relevant in many modern on-line services (e.g. e-commerce, video streaming) and recommendation settings. Recently, Recurrent Neural Network…
Recurrent Neural Networks with Top-k Gains for Session-based Recommendations
Balázs Hidasi, Alexandros Karatzoglou
RNNs have been shown to be excellent models for sequential data and in particular for data that is generated by users in an session-based manner. The use of RNNs provides impressiv…
Hot or not? Forecasting cellular network hot spots using sector performance indicators
Joan Serrà, Ilias Leontiadis, Alexandros Karatzoglou +1
To manage and maintain large-scale cellular networks, operators need to know which sectors underperform at any given time. For this purpose, they use the so-called hot spot score,…