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首页> 外文期刊>International journal of materials & product technology >Re-ranking in user-driven reputation systems with splay tree
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Re-ranking in user-driven reputation systems with splay tree

机译：使用八叉树在用户驱动的信誉系统中重新排名

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>In e-learning environments, trust relationship plays a vital role in establishing collaborative activities among co-learners. Reputation is a fundamental source for measuring co-learners' trust. An efficient and effective way to construct trust relationship among faculties and students in e-learning environment is ranking. User-driven reputation systems are based only on the feedback or ratings provided by the users. Users with higher points obtain high rating compared to less scored users. Thus, by Zipf's law, alleged low users are pushed to the bottom of the ranking list. This condition is avoided by encouraging less likely users and preventing them from moving further down in ranking level. Low ranked users are provided with few more chances to participate actively in the e-learning environment. A splay tree is a binary search tree with self-balancing skill. The splay tree brings the recently accessed item to the top of the tree. A splay tree is used to represent user's ranks, and low ranked users are semi-splayed again in the tree thus preventing them from further drowning in the ranking list for the fixed number of times. In this paper, we presented Rank_Improvement algorithm to enhance average scored users and compared with the ranking algorithm in the existing question-answering websites.
机译：>在电子学习环境中，信任关系在建立共同学习者之间的协作活动中起着至关重要的作用。声誉是衡量共同学习者信任度的基本来源。在在线学习环境中，建立师生之间信任关系的有效途径是排名。用户驱动的信誉系统仅基于用户提供的反馈或评级。与得分较低的用户相比，得分较高的用户获得较高的评分。因此，根据齐普夫定律，所谓的低用户被推到排名列表的底部。通过鼓励不太可能的用户并防止其排名进一步下降来避免这种情况。低排名的用户几乎没有机会积极参与电子学习环境。展开树是具有自我平衡能力的二叉搜索树。展开树将最近访问的项目带到树的顶部。展开树用于表示用户的等级，低排名的用户再次在树中半展开，因此可以防止他们进一步淹没排名列表中的固定次数。本文提出了一种Rank_Improvement算法来提高平均得分用户，并与现有问答网站中的排名算法进行比较。

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