摘要
面向用户小众化需求和长尾资源特征的社会化推荐实现对于提升网络服务质量具有重要作用。文章根据物理动力学中物质扩散和热传导能量分配机理,并将词汇引入关联图中,探讨了基于用户—资源—词汇三部图的推荐实现机理;分别进行了用户—资源二部图和资源—词汇二部图中基于能量分配加权的推荐算法实现研究,提出了二部图和能量分配双重加权的三部图推荐实现策略。最后,通过大量的准确性和多样性的实验,验证了所提策略和方法的有效性及优越性。
The realization of social recommendation for user minority needs and long tail resources features plays an important role in improving the quality of network service. According to the mechanism of energy distribution based on mass diffusion and heat spreading in physic kinetics,this paper introduces topics into tripartite to discuss the realization mechanism of recommendation based on user-object-topic tripartite. Then,the paper analyzes the realization of recommendation algorithm based on weighted energy distribution in user-object-topic tripartite and object-topic bipartite and proposes the recommendation strategy of bipartite and doubleweighted energy distribution tripartite. Finally,the paper verifies the effectiveness and superiority of the proposed strategy and method through a large amount of experiments.
引文
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