1) Collaborative Filtering Recommendation Algorithm
协同过滤推荐算法
1.
Research on Collaborative Filtering Recommendation Algorithm in E-Commerce System;
电子商务系统协同过滤推荐算法研究
2) collaborative filtering recommendation
协同过滤推荐
1.
Approach to collaborative filtering recommendation based on HMM;
基于HMM模型的协同过滤推荐方法
3) collaboration-based recommendation
协同过滤的推荐
5) Collaborative Filtering Algorithm
协同过滤算法
1.
It overcomes the drawbacks of conventional algorithms under the sparse user circumstances,and it remarkably raises the recommendation accuracy of personalized collaborative filtering algorithm through introducing the score threshold.
介绍了协同过滤算法,并对算法进行了改进,解决了用户稀疏的情况下传统算法的不足,同时通过引入评分阈值,显著提高了个性化协同过滤算法的推荐精度。
2.
Then,the authors improve SVD-based (singular value decomposition) collaborative filtering algorithm that can give users recommendation resource sets by computing the best approximate resource features to users\' behavior features matrix.
以往的网格计算资源的匹配和调度算法需要在调度计算时遍历所有网格资源,而改进的基于SVD(奇异值分解)的协同过滤算法考虑了用户行为相关性和资源使用频度的相关性,通过用户对资源项的使用历史记录建立用户对资源的满意度评分体系,利用推荐机制给出用户推荐资源集以到达资源匹配的效果。
6) collaborative recommendation
协同推荐
1.
Web page ranking algorithm based on collaborative recommendation
一种基于协同推荐的网页排序算法
2.
Traditional collaborative recommendation systems relied heavily on similarity of users.
传统协同推荐将用户相似性作为选择推荐者的基准,过多地依赖用户相似性。
补充资料：过滤过程与过滤机分类
过滤过程与过滤机分类  | |
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参考词条