发送者和接受者能力的二分网络推荐算法研究

在大数据时代,推荐系统在电子商务等领域中发挥着越来越重要的作用.本文通过对现有的基于二分网络推荐算法进行分析总结,提出了TAA算法,并将该算法同物质扩散算法、热传导算法、偏热传导算法、混合算法和接收者能力算法在Movielens数据集上进行对比实验,实验结果表明该算法推荐结果的准确率和召回率均优于现有的5种算法.

The research of Bipartite Network Recommendation Algorithm Based on Transmitter and Acceptor Ability

In the time of big data , recommendation system plays an important role in e-commerce and other fields. This paper analyzed the existed recommendation algorithms based on bipartite network, and proposed a new algorithm based on transmitter and acceptor ability (TAA) algorithm. Compared with the material diffusion algorithm, heat conduction algorithm, partial Heat conduction algorithm, combination algorithm and receiver Capacity algorithm, the performances of TAA algorithm indicated that it can get a higher precision rate and recall rate.