Hybrid collaborative filtering for high-involvement products: A solution to opinion sparsity and dynamics
A Review-based Hybrid CF (RHCF) is designed to overcome the rating sparsity problem of high-involvement products. From both ratings and reviews the temporal and sequential dynamics of online opinions are analyzed. Dynamics of online ratings and reviews are considered in the design of the recommendation method to avoid the possible biases. The experiment, based on real-world datasets, demonstrates the superior performance of the RHCF method.
hybrid collaborative filtering high-involvement products sparsity problem online opinion dynamics