Personalized Summaries Generation: An Approach based on Learning Styles

Uriel Ramírez, Alicia Martínez, Yasmín Hernández
2020 Research in Computing Science  
The increasing information that can be found on the Internet makes very difficult to read and understand all this information in a short period of time. Automatic text summarization aims to address the problem of information overload by extracting the most important information from a document. This allows the reader to make decisions to determine the relevance of the information. This article presents a method for the automatic generation of personalized summaries in Spanish. The
more » ... n is based on the VAK learning styles model. We focus an extractive approach based on heuristics to select the relevant parts of the source content. Our proposed method has been evaluated with junior high school students in a Turing Test experiment with encouraging results.
dblp:journals/rcs/RamirezMH20 fatcat:2df6hpnv3zg63gzyi743i3jnei