Abstract
Variable precision rough set model allows a certain degree of misclassification rate existing, so that, on one hand, it complements the concept of approximation space, on the other hand it benefit from the use of variable precision rough set of data to fine the relevant data in the thought irrelevant data. The paper puts forward the construction and application of intelligent recommendation system in e-commerce based on variable precision rough set, to suffice the needs of theory and application in E-commerce recommendation system. Therefore, the experimental results show that this method can effectively improve the performance of the recommendation system and recommended items.
Published Version
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