Recommendation of complementary material during chat discussions
Recommendation of complementary material during chat discussions
This paper presents a system that analyzes the themes discussed in a chat room and then recommends information sources according to the context of the discussion. In order to produce recommendations, the system considers users’ profiles to complement the knowledge of each individual, reaching what Vygotsky called zone of proximal development. Another important feature is related to the fact that, after the chat discussion session, it is possible to generate statistical analyses. These analyses a