5th Spanish Conference on Information Retrieval - CERI '18, Zaragoza (España). 26-27 junio 2018
Resumen:
The main goal of a Recommender System is to suggest relevant items to users, although other utility dimensions -- such as diversity, novelty, confidence, possibility of providing explanations -- are often considered. In this work, we study two dimensions that have been neglected so far in the literature: coverage and temporal novelty. On the one hand, we present a family of metrics that combine precision and coverage in a principled manner (correctness); on the other hand, we provide a measure to account for how much a system is promoting fresh items in its recommendations (freshness). Empirical results show the usefulness of these new metrics to capture more nuances of the recommendation quality.
DOI: https://doi.org/10.1145/3230599.3230614
Publicado en CERI'18, pp: 1-2, ISBN: 978-1-4503-6543-7
Fecha de publicación: 2018-06-26.
Cita:
P. Sánchez, R.M. Mesas, A. Bellogín, New approaches for evaluation: correctness and freshness: extended abstract, 5th Spanish Conference on Information Retrieval - CERI '18, Zaragoza (España). 26-27 junio 2018. En: CERI'18: Conference proceedings, ISBN: 978-1-4503-6543-7