...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
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.
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。
The editors point out, sales of magazine issues that prominently feature international news stories have declined significantly, and declining sales reflect declining reader interest.
编辑们指出，以国际新闻报道为特色的杂志销量已经大幅下降，而下降的销量反映了读者兴趣的下降。
The ideal feature article will pique your audience's interest and keep their attention, while informing and entertaining them.
理想的特写文章，能够在传递信息和娱乐的过程中，激起读者的兴趣并使其持续关注。
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