改进评价估计的混合推荐算法研究

The research of Improved estimate evaluation of hybrid recommender algorithm

本文介绍了推荐算法的研究现状,并在协同过滤算法的基础上,使用双重评分估计,提出一种混合策略的推荐算法,解决目前推荐算法中存在的稀疏评价矩阵的问题,并在不同衡量指标下均提高了算法的效率。

It is introduced the research of development of recommender algorithms,then using double evaluation estimate based on collaborative filtering,designing a kind of hybrid recommender algorithm. It solved the common problem of sparsity matrix in recommender algorithm,and optimized the performance of algorithm in some different kinds of criterions.