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cs.IR2023★ 1 cited
Can Offline Metrics Measure Explanation Goals? A Comparative Survey Analysis of Offline Explanation Metrics in Recommender Systems
André Levi Zanon, Marcelo Garcia Manzato, Leonardo Rocha
In Recommender System (RS), explanations help users understand why items are recommended and can enhance a system's transparency, persuasiveness, engagement, and trust, which are k…
cs.IR2018
CoBaR: Confidence-Based Recommender
Fernando S. Aguiar Neto, Arthur F. da Costa, Marcelo G. Manzato
Neighborhood-based collaborative filtering algorithms usually adopt a fixed neighborhood size for every user or item, although groups of users or items may have different lengths d…