基于金融大数据的个性化推荐技术研究

Research on Personalized Recommendation Technology Based on Financial Big Data

随着金融大数据的出现和发展,各种理财产品和贷款项目的种类和数量都爆炸式的增长。如何有效地针对客户推荐提高推荐成功率成了关键问题。针对这一问题,文章提取代表客户兴趣、相应组群和相关项目的特征,然后利用神经网络进行预测,从而达到了个性化推荐的目的。实验结果表明:所建模型能有效地进行个性化推荐。

With the advent and development of financial big data, the types and quantities of all types of wealth management products and loan projects have exploded. How to effectively recommend for customers to improve the success rate of the recommendation has become a key issue. To solve the problem,we extract features which represent customers interests, corresponding groups and related items,and ultilize the neural net to predict to achieve the goal of personalized recommendation. The experiment result shows that the model can effectively acomplish the personalized recommendation.