... interest blank 兴趣缺乏 interest characteristics 兴趣特征 interest factor 兴趣因素 ...
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...忘策略 兴趣特征 混合推荐 [gap=798]Keywords】: Personalized recommendation,Gradual forgetting strategy,Interest feature,Hybrid recommendation ...
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This paper proposes a peer to peer E-Learner simulating community self-organizing algorithm based on user interest feature vectors,which can properly group different e-learners with similar interests.
为了正确分类远程教育环境中具有相同学习兴趣的学习者,提出了一个基于学习者兴趣特征向量的端对端自适应仿真学习社区构建算法。
参考来源 - 基于兴趣特征向量的端对端仿真学习社区研究·2,447,543篇论文数据，部分数据来源于NoteExpress
对已有算法进行改进，提出了一种加权的星型聚类算法以学习用户的兴趣特征。
Based on some traditional algorithms, this thesis provides a weighted star cluster algorithm to learn user profile.
分类规则用来实现对学生用户的分类，通过对用户的兴趣特征进行学习，有利于将资源准确推荐给具有相似爱好的用户。
Based on the classification rule, users are divided into different groups. Studying users' interest feature helps to recommend reference resources accurately to users with similar preference.
选择的注释类型指定您感兴趣的结果，而该注释类型中选择的特征指定感兴趣的细节部分。
The selected annotation type specifies which result you are interested in, and the selected features of this annotation type specify the detailed part of interest.
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