A formal model of personalized recommendation systems in intelligent tutoring systems

摘要

A formal model of a personalized recommendation system in intelligent tutoring systems is presented in this paper. Users' queries, domain knowledge, user models and teaching knowledge extraction processes are four key factors that support a personalized recommendation system. After introducing the construction of domain knowledge and user models, the formal model of our personalized recommendation system is presented and discussed in detail to show that it is practicable.