计算机工程2017，Vol.43Issue(3)：247-252,6.DOI:10.3969/j.issn.1000-3428.2017.03.041
改进的热传导和物质扩散混合推荐算法
Improved Hybrid Recommendation Algorithm with Heat Conduction and Mass Diffusion
摘要
Abstract
For the problem of the classical Heat Conduction(HC) recommendation algorithm with low accuracy and the Mass Diffusion(MD) recommendation algorithm with low diversity,an improved hybrid recommendation algorithm based on HC and MD is proposed.Considering the influence of user activity on the recommendation algorithm,it introduces a tunable parameter θ to adjust the influence of user activity and reallocate resources so as to obtain better recommendation results.Experimental results show that the precision and diversity of the algorithm are increased by about 5.81% and 4.15% on the Netflix dataset,5.08% and 3.60% on the MovieLens dataset respectively,compared with the previous HC and MD hybrid algorithm,when parameter θ obtains optimal value.关键词
协同过滤/物质扩散/用户活跃度/混合推荐/推荐算法Key words
collaborative filtering/Mass Diffusion(MD)/user activity/hybrid recommendation/recommendation algorithm分类
信息技术与安全科学引用本文复制引用
杨卫芳,李学明,乔保学..改进的热传导和物质扩散混合推荐算法[J].计算机工程,2017,43(3):247-252,6.基金项目
国家自然科学基金(60873200,90818028). （60873200,90818028）
