农产品电商中精准推荐算法应用研究

Research on Application of Precise Recommendation Algorithm in Agricultural Products E-Commerce

农产品电商在全国上下轰轰烈烈地推进,然而却遇到了最为关键的问题:一边是网上的农产品越卖越贵,一边是农村丰收的农产品烂在地里。本文阐述了农产品电子商务与农产品精准推荐算法概况,从特征信息挖掘算法、构建消费者偏好模型、构建农产品特征模型、推荐算法优化四个方面对精准推荐算法进行深入研究。

The e-commerce of agricultural products promotes vigorously in China. However,the most critical problem emerges that on the one hand the online agricultural products become more expensive,while the rural agricultural harvest rots in the ground on the other hand. This paper begins with a brief introduction to the e-commerce of agricultural products and agricultural products precise recommendation algorithm. And then,the paper carries out an in-depth research on the algorithm from four perspectives of feature information mining algorithm,construction of consuming preference model,construction of agricultural product feature model and optimization.