【摘要】 在面对大数据量时,传统的基于VSM的分层网页推荐算法由于分类的不准确,造成推荐精确率较低。该文针对这个缺陷提出了改进的分层推荐算法,该算法在推荐过程中综合考虑了领域和用户兴趣,以及网页和用户兴趣的相似程度,来为用户提供高效的个性化网页推荐。实验表明,该算法提高了网页推荐的精确率。更多还原

【Abstract】 On account of inaccurate classification, the traditional hierarchical Webpage recommendation algorithm based on vector space model can not produce high precision when it deals with large amounts of data. This paper proposes an improved hierarchical Webpage recommendation algorithm. In the process of recommendation, this algorithm takes into consideration the similarities between domain-and-user’s interests as well as Webpages-and-user’s interests, then provides highly effective personalized Webpage recommendation service for users. Experimental results show that the proposed algorithm enhances the precision of Webpage recommendation.更多还原