5th Spanish Conference on Information Retrieval - CERI '18, Zaragoza (Spain). 26-27 June 2018
Summary:
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
Published in: CERI'18: Conference proceedings, pp: 1-2, ISBN: 978-1-4503-6543-7
Publication date: 26-Jun-2018.
Citation:
P. Sánchez, R.M. Mesas, A. Bellogín, "New approaches for evaluation: correctness and freshness: extended abstract", presented at 5th Spanish Conference on Information Retrieval - CERI '18, Zaragoza, Spain, 26-27 June 2018. In: CERI'18: Conference proceedings, pp. 1-2, doi: 10.1145/3230599.3230614
IIT-18-216C
