基于Web使用挖掘的个性化推荐服务研究

Personalized recommendation service research based on Web usage mining

本文研究结合网站结构和页面内容以辅助Web使用挖掘,提高推荐服务质量。并在相关理论与研究的基础上,给出一种关于推荐因子的综合计算方法,经推荐质量分析,该方法具有较好的推荐优化能力。

The article does research on combining the Website structure and the page content with assistance of Web usage mining to improve recommendation service quality.Based on the existing theories and research, we present a sort of comprehensive calculation approach concerning recommendation factor.As it is proved by the recommendation quality analysis, this approach has a good performance of optimal recommendation.