Ranking and Updating Beliefs Based on User Feedback: Industrial Use Cases

Mazda A. Marvasti, A. Poghosyan, A. Harutyunyan, Naira Grigoryan
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引用次数: 4

Abstract

Incorporation of user feedback in enterprise management products can greatly enhance our understanding of modern technology challenges and amplify the ability for those products to home in to user environments. In this paper we present an entropy-based confidence determination approach to process user feedback data (direct or indirect) to automatically rank and update the beliefs of any recommender system. Several examples of application of this method are discussed in the context of VMware products. Moreover, an optimization algorithm is demonstrated for adaptive thresholding of monitoring flows based on user ratings of generated alerts effectiveness.
基于用户反馈的信念排序和更新:工业用例
在企业管理产品中纳入用户反馈可以大大增强我们对现代技术挑战的理解,并增强这些产品融入用户环境的能力。在本文中,我们提出了一种基于熵的置信度确定方法来处理用户反馈数据(直接或间接),以自动对任何推荐系统的信念进行排名和更新。在VMware产品的背景下,讨论了该方法的几个应用实例。此外,还演示了一种基于用户对所生成警报有效性评级的自适应阈值监控流的优化算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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