Fabiana Lorenzi

Fabiana LorenziFabiana Lorenzi has a Ph.D. degree in Computer Science from Federal University of Rio Grande do Sul (UFRGS) and she is currently a professor in the Faculty of Computer Science at Lutheran University of Brazil (ULBRA). She works as consultant at Invenio Software Inteligente and her interests include Case-Based Reasoning, Recommendation Systems, and Multi-Agent Systems.

Publications

Serious Games Tools to Support the Literacy Process
Serious Games Tools to Support the Literacy Process
Fabiana Lorenzi, Lucas Curtinaz Dumer, Rafael Freitas Vernetti, Diego S. Pereira, Eliseo Berni Reategui, Daniel Epstein. © 2019. 19 pages.
The use of technologies in the teaching-learning process is constantly growing. In the process of literacy, for example, different learning objects have been developed. Literacy...
A Trust Case-Based Model Applied to Agents Collaboration
A Trust Case-Based Model Applied to Agents Collaboration
Felipe Boff, Fabiana Lorenzi. © 2019. 16 pages.
This chapter shows an approach for developing a method that uses case-based reasoning (CBR) for calculating trust levels in agents' collaboration. The proposed development...
A Trust Case-Based Model Applied to Agents Collaboration
A Trust Case-Based Model Applied to Agents Collaboration
Felipe Boff, Fabiana Lorenzi. © 2018. 13 pages.
This paper shows an approach for developing a method that uses Case-Based Reasoning (CBR) for calculating trust levels in agents' collaboration. The proposed development...
Preface
Preface
Eldon Y. Li, Stanley Loh, Cain Evans, Fabiana Lorenzi. © 2013. 4 pages.
This Preface is included in the book Organizations and Social Networking: Utilizing Social Media to Engage Consumers.
Best Practices for Social CRM
Best Practices for Social CRM
Fabiana Lorenzi, Stanley Loh. © 2013. 12 pages.
This chapter presents a study of integration of traditional CRM systems with new social networking technologies available on the Web, such as Twitter, blogs, and communities...
Case-Based Recommender Systems
Case-Based Recommender Systems
Fabiana Lorenzi, Francesco Ricci. © 2005. 5 pages.
Recommender systems are being used in e-commerce web sites to help the customers in selecting products more suitable to their needs. The growth of Internet and the business to...