Rafael Dirques David Regis
Papers
1
Total Citations
3
H-Index
1
About
Rafael Dirques David Regis is a researcher at the forefront of computational cultural analytics, with a primary focus on the intersection of machine learning, data clustering, and media demographics. His most cited work, "Anime clustering for automatic classification and configuration of demographics" (2023, 3 citations), introduces novel algorithmic approaches to understanding how cultural industries—particularly anime—can be automatically classified to better configure audience demographics. This contribution is significant in an era where recommendation systems increasingly shape public reception and communication. Regis’s research addresses the growing need for intelligent systems that can process massive datasets to reveal patterns in cultural consumption, offering tools for both industry and academic analysis. By applying clustering techniques to anime, he bridges the gap between entertainment studies and data science, demonstrating how automated classification can enhance demographic targeting and content personalization. His work contributes to the broader discourse on algorithmic manipulation of mass data, highlighting both opportunities and challenges in the cultural sector. Regis’s findings are valuable for researchers exploring media analytics, recommendation algorithms, and the evolving dynamics of global entertainment markets.
Research Focus
Key Achievements
Top Papers
- 1