基于模糊推理的web客户需求协同过滤推荐算法

Collaborative Filtering Recommendation Algorithm of Web Customer Demand Based on Fuzzy Deduction

文章提出了基于模糊推理的协同过滤推荐算法,在该算法中,用模糊集合之间特征系数来代替传统算法的相似系数,用模糊推理来代替加权平均预测。最后文章通过实验证明该算法具有较好的精确度,为以后研究推荐算法提供了一种新的途径。

The collaborative filtering recommendation algorithm based on fuzzy deduction is proposed in this paper.In the algorithm,the traditional similarity coefficient is replaced by the characteristic coefficient between fuzzy sets,and the weighted average forecast is replaced by the fuzzy deduction.Finally,experiments show that the algorithm has a better accuracy,which provides a new way for future recommendation algorithm research.