In this work, we tackle the problem of adapting a real-time recommender
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In this industry talk at ECIR'2022, we illustrate how to build a modern
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Multimedia recommender systems suggest media items, e.g., songs, (digita...
Personalized news recommender systems support readers in finding the rig...
In this work, we study the utility of graph embeddings to generate laten...
In this paper, we present our work to support publishers and editors in
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In this work, we present the findings of an online study, where we explo...
User-based Collaborative Filtering (CF) is one of the most popular appro...
In this paper, we present work-in-progress on applying user pre-filterin...
In this paper, we present preliminary results of AFEL-REC, a recommender...
User-based Collaborative Filtering (CF) is one of the most popular appro...
In this work, we address the problem of recommending jobs to university
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