3 papers
cs.AI2026
An Interpretable Recommendation Model for Psychometric Data, With an Application to Gerontological Primary Care
Andre Paulino de Lima, Paula Castro, Suzana Carvalho Vaz de Andrade +3
There are challenges that must be overcome to make recommender systems useful in healthcare settings. The reasons are varied: the lack of publicly available clinical data, the diff…
cs.IR2023
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…