个性化服务中基于模糊聚类的协同过滤推荐

推荐系统是个性化服务中最重要的技术之一,协同过滤技术已经成功地应用于个性化推荐系统中。随着用户和商品数目日益增加,推荐系统的效能逐渐降低,实时性要求也难以保证。针对此缺点,本文使用了一种基于模糊聚类的协同过滤推荐,根据用户对项目评分的相似性对项目进行模糊聚类,并在此基础上搜索目标用户的最近邻居,从而缩小最近邻的查找范围并产生推荐结果。实验结果表明,该方法可以有效提高个性化服务中的实时响应速度。

Collaborative Filtering Recommendation Based on Fuzzy Clustering in Personalization Services

Recommendation system is one of the most important techniques for personalization services.Collaborative filtering is applied for building personalization recommendation systems.The efficiency of this method declines linearly with the number of users and items,and the failure of ensuring real-time requirements.A collaborative filtering method based on fuzzy clustering is proposed in this paper to solve this problem.Items are clustered based on users' ratings on items.Based on the similarity,the nearest neig...