| 基于双重阈值近邻查找的协同过滤算法 |
| |
| 引用本文： | 李颖,李永丽,蔡观洋.基于双重阈值近邻查找的协同过滤算法[J].长春邮电学院学报,2013(6):647-653. |
| |
| 作者姓名： | 李颖 李永丽 蔡观洋 |
| |
| 作者单位： | [1]吉林师范大学计算机学院,吉林四平136000 [2]东北师范大学计算机科学与信息技术学院,长春130117 [3]吉林大学计算机科学与技术学院,长春130012 |
| |
| 摘 要： | 为了提高协同过滤算法的推荐精度，从协同过滤算法中近邻用户／项目组的选择人手，提出基于双重阈值近邻查找的协同过滤算法。该算法能充分利用现有的稀疏用户项目评分矩阵，找出与目标用户相关性较强，且能参与到评分预测过程中的候选用户。实验结果表明，该算法相比传统的协同过滤算法及部分改进算法，其推荐精度有一定提高，对实际应用具有一定的参考价值。
|
| 关 键 词： | 协同过滤 稀疏矩阵 个性化推荐 双重阈值 |
Dual-Threshold Neighbors Finding Method for Neighborhood-Based Collaborative Filtering |
| |
| LI Ying,LI Yong-li,CAI Guan-yang.Dual-Threshold Neighbors Finding Method for Neighborhood-Based Collaborative Filtering[J].Journal of Changchun Post and Telecommunication Institute,2013(6):647-653. |
| |
| Authors: | LI Ying LI Yong-li CAI Guan-yang |
| |
| Affiliation: | 3 ( 1. College of Computer, Jilin Normal University, Siping 136000, China; 2. School of Computer Science and Information Technology, Northeast Normal University, C hangehun 130117, China; 3. College of Computer Science and Technology, Jilin University, Changchun 130012, China) |
| |
| Abstract: | In order to improve the accuracy of collaborative filtering, the paper proposes a new collaborative filtering based on the dual-threshold neighbors finding method in the perspective of how to find the truly relevant user/item group. This method can take full advantage of existing sparse user-rate matrix to find some users or items which are strong relative to the active user/item, and they can participate in the progress of calculating predicate rate. The experimental results show that the recommendation accuracy of the new algorithm is better than traditional collaborative filtering and some improved algorithms. |
| |
| Keywords: | collaborative filtering sparse matrix personalized recommendation dual-threshold |
| 本文献已被 维普 等数据库收录！ |
