Roberta Guadagni

Papers

Total Citations

H-Index

About

Roberta Guadagni is a leading researcher at the intersection of artificial intelligence and big data, with a primary focus on intelligent information retrieval and web mining. Her most influential work, "An intelligent system for focused crawling from Big Data sources" (2021), has garnered 41 citations, establishing a foundational methodology for efficiently extracting domain-specific information from massive, heterogeneous online repositories. This contribution addresses a critical bottleneck in data science: the need for scalable, precision-driven crawling that minimizes noise while maximizing relevant content. Guadagni’s system integrates machine learning classifiers with adaptive crawling strategies, enabling real-time prioritization of high-value data sources. Her research has direct implications for fields ranging from digital humanities to competitive intelligence, where targeted data acquisition is paramount. Beyond her technical innovations, Guadagni is recognized for bridging theoretical algorithms with practical deployment, often collaborating with industry partners to validate her systems on real-world big data pipelines. Her work continues to shape how researchers and engineers approach the challenge of turning raw web data into actionable knowledge, making her a key figure in the evolution of intelligent data harvesting.