WordRecommender: An Explainable Content-Based Algorithm based on Sentiment Analysis and Semantic Similarity. - André L. Zanon; Luan Souza; Diany Pressato; Marcelo G. Manzato (WebMedia, 2020)

A user study with aspect-based sentiment analysis for similarity of items in content-based recommendations. - André L. Zanon; Luan Souza; Diany Pressato; Marcelo Garcia Manzato (Expert Syst. J. Knowl. Eng., 2022)

Balancing the trade-off between accuracy and diversity in recommender systems with personalized explanations based on Linked Open Data. - André L. Zanon; Leonardo Chaves Dutra da Rocha; Marcelo Garcia Manzato (Knowl. Based Syst., 2022)

Offline Metrics for Evaluating Explanation Goals in Recommender Systems. - André Levi Zanon; Marcelo Garcia Manzato; Leonardo Rocha 001 (CoRR, 2023)

Model-Agnostic Knowledge Graph Embedding Explanations for Recommender Systems. - André Levi Zanon; Leonardo Chaves Dutra da Rocha; Marcelo Garcia Manzato (xAI (2), 2024)

Do Calibrated Recommendations Affect Explanations? A Study on Post-Hoc Adjustments. - Paul Dany Flores Atauchi; André Levi Zanon; Leonardo Chaves Dutra da Rocha; Marcelo Garcia Manzato (J. Interact. Syst., 2025)