| 基于用户兴趣反馈的智能合作过滤模型的研究 |
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| 引用本文： | 柯佳,程显毅,李晓薇.基于用户兴趣反馈的智能合作过滤模型的研究[J].计算机工程与设计,2007,28(7):1659-1662. |
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| 作者姓名： | 柯佳 程显毅 李晓薇 |
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| 作者单位： | 1. 江苏大学,工商管理学院,江苏,镇江,212013;江苏大学,计算机科学与通信工程学院,江苏,镇江,212013
2. 江苏大学,计算机科学与通信工程学院,江苏,镇江,212013 |
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| 基金项目： | 国家自然科学基金
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江苏大学教改基金 |
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| 摘 要： | 随着网络信息资源的迅速增加,如何及时准确地获取所需信息是现代网络信息过滤技术需要解决的主要问题.为了给用户提供更准确的信息,提出了一种基于用户反馈的智能合作过滤模型(Agent collaborative filtering model based on users'feedback,ACFM)和用户兴趣模型,该模型通过隐式反馈和显式反馈这两种用户兴趣反馈学习实现合作过滤.实验结果表明,ACFM在预测用户兴趣的效果和推荐搜索信息的准确率方面比传统的搜索引擎有明显改善.
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| 关 键 词： | 合作过滤 Agent 用户兴趣 机器学习 共同兴趣模型 用户兴趣模型 反馈学习 智能 合作过滤 过滤模型 研究 user based model collaborative filtering Agent Research 改善 搜索引擎 准确率 效果 预测 结果 实验 显式反馈 |
| 文章编号： | 1000-7024（2007）07-1659-04 |
| 修稿时间： | 2006-03-25 |
Research of Agent collaborative filtering model based on user' feedback |
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| KE Jia,CHENG Xian-yi,LI Xiao-wei.Research of Agent collaborative filtering model based on user'''' feedback[J].Computer Engineering and Design,2007,28(7):1659-1662. |
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| Authors: | KE Jia CHENG Xian-yi LI Xiao-wei |
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| Affiliation: | 1. School of Business Administration, Jiangsu University, Zhenjiang 212013, China;2. School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang 212013, China |
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| Abstract: | With the increasing of web information,how to filter information which users wanted quickly and accurately is becoming a big business. In order to serve users the more accurate information,the Agent collaborative filtering model based on users' feedback,ACFM and users' interesting model are put forward. ACFM uses the learning method of users' interesting feedback consisted of implicit feedback and interactive feedback to realize collaborative filtering. Experimental results show that compared with the traditional search tool,ACFM has more effective on deducing users' interesting and more accuracy in recommending information. |
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| Keywords: | collaborative filtering Agent users' interesting feedback machine learning co-model |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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