• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Practical Applications of Agents and Multi-Agent Systems >Selecting Trustworthy Partners by the Means of Untrustworthy Recommenders in Digitally Empowered Societies
【24h】

Selecting Trustworthy Partners by the Means of Untrustworthy Recommenders in Digitally Empowered Societies

机译：选择值得信赖的合作伙伴，以不值得信任的推荐人在数字赋权的社会中

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this work, we want to show that the introduction of categories can strongly improve the performance of recommendation, within the new digitally infrastructured societies. We state that, inside these highly dynamic contexts, in which more and more people are connected to each other but a substantial part of the communication happens between strangers, it is fundamental to restructure the concept of recommendation. We strongly believe that a good solution for many situations would be to combine inferential processes with recommendations, i.e. focusing on recommending categories of agents rather than specific individuals. Specifically, in this work we prove that category's recommendations are more robust to untrustworthy recommenders than individual recommendation. We tested our idea by the mean of a multi-agent social simulation. The results we obtained arc in agreement with our hypotheses and can be of important interest for the development of this sector.
机译：在这项工作中，我们希望表明，在新的数字基础架构社会中，我们希望引入类别可以强烈提高建议的表现。我们说，在这些高度动态的环境中，其中越来越多的人彼此相连，但在陌生人之间发生了大量的沟通，这是重组推荐概念的基础。我们强烈认为，许多情况的良好解决方案是将推理过程与建议相结合，即重点关注推荐的代理类别而不是特定个人。具体而言，在这项工作中，我们证明了类别的建议对于不值得信任的推荐者而不是个人建议。我们通过多项代理社交模拟的含义测试了我们的想法。结果，我们与我们的假设同意，对该部门的发展有重要兴趣。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号