Content-Based Recommendation Systems, Textual Content, Machine Learning, Systematic Review
Content-based Recommendation Systems (CbRS) is a research area in which Machine Learning (ML) strategies can be applied with success. However, specifically in textual CbRS, the use of ML has not been expressive in recent years. To contribute to the evolution of the intersection of such areas, we present a Systematic Review to identify, interpret and evaluate how the ML strategies have been applied to CbRS.
Brunialti, Lucas Fernandes; Peres, Sarajane Marques; Freire, Valdinei; and Lima, Clodoaldo Aparecido de Moraes, "Machine Learning in Textual Content-Based Recommendation Systems: A Systematic Review" (2015). Proceedings of the XI Brazilian Symposium on Information Systems (SBSI 2015). 73.