基于改进RFM模型的协同过滤推荐算法研究

Collaborative Filtering Recommendation Algorithm Based on Improved RFM Model

为了提高协同过滤推荐技术的服务效率和质量,给出了一种基于改进RFM模型的协同过滤推荐算法。该算法把利润引入RFM模型中,用利润代替购买金额,形成RFP模型,利用RFP来完善基于RFM的相似性计算,充分体现用户价值对推荐结果的影响。实验表明,该算法在提升推荐结果的覆盖率和准确率方面都有着较好的优势。

In order to improve the quality and service efficiency of the collaborative filtering technology, this paper presents collaborative filtering algorithm to modify RFM mode. This algorithm introduces the profit into RFM model instead of the purchase price. A new RFP model, which is using RFP to perfect the similarity calculation, is created to fully reflect the influence of the user value on filtering results. Experiments show that the algorithm has a better advantage in the aspects of improving the coverage and accuracy of filtering results.