599 citations · 1.2k across the 114 of their papers we have counts for
5 papers · 1 filter
Rolling Forward: Enhancing LightGCN with Causal Graph Convolution for Credit Bond Recommendation
Ashraf Ghiye, Baptiste Barreau, Laurent Carlier +1
Graph Neural Networks have significantly advanced research in recommender systems over the past few years. These methods typically capture global interests using aggregated past in…
Adaptive Collaborative Filtering with Personalized Time Decay Functions for Financial Product Recommendation
Ashraf Ghiye, Baptiste Barreau, Laurent Carlier +1
Classical recommender systems often assume that historical data are stationary and fail to account for the dynamic nature of user preferences, limiting their ability to provide rel…
Scalable graph-based individual named entity identification
Sammy Khalife, Michalis Vazirgiannis
Named entity discovery (NED) is an important information retrieval problem that can be decomposed into two sub-problems. The first sub-problem, named entity recognition (NER), aims…
Using temporal IDF for efficient novelty detection in text streams
Margarita Karkali, Francois Rousseau, Alexandros Ntoulas +1
Novelty detection in text streams is a challenging task that emerges in quite a few different scenarios, ranging from email thread filtering to RSS news feed recommendation on a sm…
Toward an Integrated Framework for Automated Development and Optimization of Online Advertising Campaigns
Stamatina Thomaidou, Michalis Vazirgiannis, Kyriakos Liakopoulos
Creating and monitoring competitive and cost-effective pay-per-click advertisement campaigns through the web-search channel is a resource demanding task in terms of expertise and e…