基于改进KNN算法的价格预测模型研究

Price Forecasting Mode Study Based on KNN Algorithm Improvement

如何使读者在海量的数字图书馆中，准确迅速地找到符合自身需要的图书是本文解决的主要问题。通过阐述传统的协同过滤算法，分析其特点以及存在的不足，并基于此提出一种改进的协同过滤算法，建立了推荐系统模型并应用到数字图书馆中。

How to make the mass of readers in the digital library,quickly and accurately find the book is in line with their needs to solve this major problem.By describing the traditional collaborative filtering algorithms,analyze their characteristics and shortcomings,and an improved based on the collaborative filtering algorithm,the establishment of the recommended system model and applied to the digital library.