Abstract—This paper proposes the implicative rating
measures built on the statistical implicative measures. The
paper also proposes the hybrid recommendation model - the
combination of the user-based collaborative filtering approach
and the association rule based approach using the implicative
rating measures - to suggest a list of top N items to active users.
The proposed hybrid model are compared to some existing
models on two datasets MSWeb and CourseRegistraion. The
experimental results show that the performance of the proposed
model is higher than that of the compared models.
Index Terms—Implicative rating measure, hybrid
recommendation model, user-based collaborative filtering,
association rule.
Lan Phuong Phan is with Can Tho University of Technology (CTUT),
Vietnam (e-mail: pplan@cit.ctu.edu.vn).
Cite: Lan Phuong Phan, Hung Huu Huynh, and Hiep Xuan Huynh, "Implicative Rating-Based Hybrid Recommendation Systems," International Journal of Machine Learning and Computing vol. 8, no. 3, pp. 223-228, 2018.