32 citations · 34 across the 4 of their papers we have counts for
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cs.IR2023
HypeRS: Building a Hypergraph-driven ensemble Recommender System
Alireza Gharahighehi, Celine Vens, Konstantinos Pliakos
Recommender systems are designed to predict user preferences over collections of items. These systems process users' previous interactions to decide which items should be ranked hi…
cs.IR2020
Fair Multi-Stakeholder News Recommender System with Hypergraph ranking
Alireza Gharahighehi, Celine Vens, Konstantinos Pliakos
Recommender systems are typically designed to fulfill end user needs. However, in some domains the users are not the only stakeholders in the system. For instance, in a news aggreg…