An Explicit Feedback Recommendation Algorithm Based on Subjective and Objective Evaluation Transformation Model

摘要

With the development of the Internet, the information in the network is growing explosively, and the information surplus brings a great burden to people in screening and selecting information. Collaborative filtering recommendation can effectively realize information filtering. There are many applications in various scenarios. Currently, collaborative filtering recommendation methods can be roughly divided into two types: explicit feedback based recommendation and implicit feedback based recommendation. In recent years, algorithms for implicit feedback recommendation have developed rapidly, and many excellent algorithms have emerged, the performance of recommendation algorithm based on explicit feedback still needs to be improved. This paper analyzes and models human cognitive behavior, and proposes a subjective and objective evaluation transformation model. Based on this model, a recommendation algorithm based on explicit feedback is proposed. Simulation results show that the algorithm has good performance in recommendation accuracy.