Machine Learning in Textual Content-Based Recommendation Systems: A Systematic Review
Lucas Fernandes Brunialti, Sarajane Marques Peres, Valdinei Freire, Clodoaldo A. M. Lima · Journal of the Association for Information Systems · 2015
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.