2) 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。
3) 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
4) 3-D Collaborative Filtering
三维协同过滤算法
5) collaborative filtering
协同过滤
1.
A collaborative filtering recommendation algorithm based on item category similarity;
基于项目类别相似性的协同过滤推荐算法
2.
Design and implementation of WhuRecomm recommending system based on collaborative filtering;
基于协同过滤的WhuRecomm推荐系统的设计与实现
3.
An adaptive algorithm of collaborative filtering recommender based on correlation similarity;
改进的基于相关相似性的协同过滤推荐算法
6) RAB-aware Collaborative Filtering
面向用户成熟度的协同过滤算法
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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说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条