| 基于混合模式推荐技术的研究 |
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| 引用本文： | 张怡,周渊.基于混合模式推荐技术的研究[J].信息技术,2011(11):63-65. |
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| 作者姓名： | 张怡 周渊 |
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| 作者单位： | 1. 兰州工业高等专科学校软件工程系,兰州,730050
2. 兰州交通大学电子与信息工程学院,兰州,730070 |
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| 摘 要： | 随着网络技术的发展,接入网络的服务器数量呈现出指数级增长的态势。在海量信息面前,人们对信息的利用率渐渐降低,盲目地在网络中搜寻需要的内容。用户急需一种能够帮助他们购物的辅助工具,该工具能够按照用户自身的兴趣爱好自动地进行推荐。通过改进一种混合模式的推荐技术解决该问题,实验部分也进行了相关验证。
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| 关 键 词： | 混合模式推荐 推荐系统 协同过滤 |
Research on the recommended technology based on the mixed model |
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| ZHANG Yi,ZHOU Yuan.Research on the recommended technology based on the mixed model[J].Information Technology,2011(11):63-65. |
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| Authors: | ZHANG Yi ZHOU Yuan |
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| Affiliation: | 1.Department of Software Engineering,Lanzhou Polytechnical College,Lanzhou 730050,China; 2.School of Electronics Information Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China) |
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| Abstract: | With the development of the network technology,access network server presents increase exponentially the situation.The mass information in front of the people,the utilization rate of gradually to reduce,blindly in the network search need content.Users need a can help them shopping auxiliary tool,this tool can according to user’s interests automatically to recommend.This article through the improvement of a hybrid model recommended technology solves this problem,the experiment and the correlation of validation. |
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| Keywords: | mixed mode recommend recommend system collaborative filtering |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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