| 基于模糊兴趣模型与多Agent的个性化推荐系统 |
| |
| 引用本文： | 王晓堤,文军舰,张悦,叶娟娟. 基于模糊兴趣模型与多Agent的个性化推荐系统[J]. 计算机系统应用, 2010, 19(9): 183-186 |
| |
| 作者姓名： | 王晓堤 文军舰 张悦 叶娟娟 |
| |
| 作者单位： | 1. 天津财经大学,管理信息系统系,天津,300222
2. 河北工业大学,管理学院,天津,300401 |
| |
| 摘 要： | 提出了基于模糊兴趣模型与多Agent的个性化推荐系统框架,通过引入用户模糊兴趣模型,使以Agent为基础的推荐系统无法通过隐式收集用户对商品属性评价的问题得到解决,并且在客户端收集并挖掘用户的私有信息,然后从服务器中获取用户感兴趣的信息,最后生成并更新UserProfile。
|
| 关 键 词： | 模糊兴趣模型 多Agent 个性化推荐 隐私保护 |
| 收稿时间： | 2010-01-15 |
| 修稿时间： | 2010-03-19 |
Personalized Recommendation System Framework Based on Fuzzy Interest Model and Multi-Agent |
| |
| WANG Xiao-Di,WEN Jun-Jian,ZHANG Yue and YE Juan-Juan. Personalized Recommendation System Framework Based on Fuzzy Interest Model and Multi-Agent[J]. Computer Systems& Applications, 2010, 19(9): 183-186 |
| |
| Authors: | WANG Xiao-Di WEN Jun-Jian ZHANG Yue YE Juan-Juan |
| |
| Affiliation: | 1.Business School, Tianjin University of Finance and Economics, Tianjin 300222, China; 2.School of Management, Hebei University of Technology, Tianjin 300401, China) |
| |
| Abstract: | The paper proposes a personalized recommendation system framework based on Fuzzy Interest Model and Multi-Agent to solve the recommentdation system＇s inability to collect information from the customers＇ evaluation on the commodity＇s properties implicitly.The recommendation system creates and updates the UserProfile in accordance with customers＇ private information collected on the client and combined with information in which customers are interested in. |
| |
| Keywords: | fuzzy interest model multi-agent personalized recommendation privacy protection |
| 本文献已被 维普 万方数据 等数据库收录！ |
| 点击此处可从《计算机系统应用》浏览原始摘要信息 |
|
点击此处可从《计算机系统应用》下载全文 |
|
