| 基于ACM在线评测推荐系统模型研究 |
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| 引用本文： | 谷钰,薛国明. 基于ACM在线评测推荐系统模型研究[J]. 数字社区&智能家居, 2011, 0(7) |
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| 作者姓名： | 谷钰 薛国明 |
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| 作者单位： | 长春工业大学计算机科学与工程学院; |
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| 摘 要： | 针对目前用户对在线程序评判系统选题目盲目问题,建立了ACM在线评测推荐系统模型。通过定义题目的难度系数及所属知识点类型,对用户所做题目运用web数据挖掘技术,进行归类挖掘,然后运用基本推荐策略将题目推荐给用户,通过此平台用户登录在线评判系统网站不再盲目选题。
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| 关 键 词： | 推荐系统 Web挖掘 推荐策略 在线评测系统 |
Recommendation System Based on Evaluation Model of ACM Online |
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| GU Yu,XUE Guo-ming. Recommendation System Based on Evaluation Model of ACM Online[J]. Digital Community & Smart Home, 2011, 0(7) |
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| Authors: | GU Yu XUE Guo-ming |
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| Affiliation: | GU Yu,XUE Guo-ming(Computer Science and Engineering,Changchun University of Technology,Changchun 130012,China) |
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| Abstract: | Users online program for the current election topics blind evaluation system,establish a model of ACM online recommendation system evaluation.Degree of difficulty by defining the topic and the respective knowledge point type,on the subject made by the user using web data mining,mining are classified,and then use the basic recommendation strategies will be subject recommended to the user,the user login through this platform is no longer online evaluation system website blind topics. |
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| Keywords: | recommended system web mining recommended strategy online evaluation system |
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