摘要
协同过滤算法是至今最成功的个性化推荐技术之一,被应用到很多领域中。但传统协同过滤算法不能及时反映用户的兴趣变化以及类似特征用户对用户相似度的精度具有影响等因素,针对这个问题,提出了一种混合推荐技术,实验表明,推荐系统的推荐质量得到显著提高。
Collaborative filtering is one of the most successful technologies for building recommender systems, and has been excessively used in many places. However, traditional collaborative filtering algorithms can not reflect the change of users＇ interest and the problems of drifting users＇ interests and users＇ feature which often results in poor recommendation, To solve this problem, this paper revises the technology of hybrid recommendation, the results of experiment have shown that the quality of the recommendation system have a extensively progress.
出处
《科技信息》
2010年第33期I0074-I0075,共2页
Science & Technology Information
关键词
推荐系统
内容过滤
协同过滤
混合推荐
Recommendation system
Content-based filtering
Collaborative filtering
Hybrid recommendation
