Content-Based Recommendation System Based on Vague Sets

Focused on the trouble of the features representation of merchandise in content-Based recommendation system, in this paper, the theory of vague sets, Gaussian function and characteristics of uncertainty were used to represent features with vague value. On this basis, the general steps of content-Based recommendation with Vague Sets were given in the paper, in order to get a new idea and method to recommender systems designers. Finally, some recommender formula with different features are given, which will be conducive to the work of the actual recommendation. Select different formula according different condition will improve the quality and accuracy of the recommendation.