Abstract:
Aiming at the disadvantage of the traditional radar data distribution mode which requires users to spend some time and energy in choosing users’ interested items and can not realize distribution according to demand well, this paper proposes distribution technology on demand for radar data based on clustering. According to some item information which is registered by users, this technology can get detailed items which users are interested in by using clustering algorithm and collaborative filtering algorithm. Results show that this method can realize demand distribution for radar data by emulating.
Key words:
radar data distribution on demand,
personalized recommendation,
K-means clustering,
collaborative filtering,
real-time recommendation
摘要: 针对传统雷达数据分发方式未能较好地实现按需分发的问题,提出基于聚类的雷达数据按需分发技术。根据用户提交的感兴趣项目信息,采用聚类和协同过滤推荐算法挖掘出用户潜在感兴趣的详细项目信息。仿真结果表明,该方法能够较好地实现雷达数据的按需 分发。
关键词:
雷达数据按需分发,
个性化推荐,
K-means聚类,
协同过滤,
实时推荐
CLC Number:
WANG Xiang-Beng, YANG Rui-Juan, HUANG Mei-Rong, LUO Jing. Technology of Radar Data Distribution on Demand Based on Clustering[J]. Computer Engineering, 2011, 37(19): 289-290.
王相平, 杨瑞娟, 黄美荣, 罗菁. 基于聚类的雷达数据按需分发技术[J]. 计算机工程, 2011, 37(19): 289-290.