Search Results for author: Leonardo Rocha

Found 4 papers, 0 papers with code

Offline Metrics for Evaluating Explanation Goals in Recommender Systems

no code implementations22 Oct 2023 André Levi Zanon, Marcelo Garcia Manzato, Leonardo Rocha

The findings show the proposed offline metrics can effectively measure the performance of explanation algorithms and highlight a trade-off between the goals of transparency and trust, which are related to popular properties, and the goals of engagement and persuasiveness, which are associated with the diversification of properties displayed to users.

Persuasiveness Recommendation Systems +1

TPDR: A Novel Two-Step Transformer-based Product and Class Description Match and Retrieval Method

no code implementations5 Oct 2023 Washington Cunha, Celso França, Leonardo Rocha, Marcos André Gonçalves

In this paper, we propose TPDR, a two-step Transformer-based Product and Class Description Retrieval method that is able to explore the semantic correspondence between IS and SD, by exploiting attention mechanisms and contrastive learning.

Contrastive Learning Position +3

CluHTM - Semantic Hierarchical Topic Modeling based on CluWords

no code implementations ACL 2020 Felipe Viegas, Washington Cunha, Christian Gomes, Ant{\^o}nio Pereira, Leonardo Rocha, Marcos Goncalves

Hierarchical Topic modeling (HTM) exploits latent topics and relationships among them as a powerful tool for data analysis and exploration.

Cannot find the paper you are looking for? You can Submit a new open access paper.