PALTask聊天:一个个性化的自动上下文感知网络资源列表工具

Pratik Jain, A. Bergen, Lorena Castaneda, H. Müller
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引用次数: 9

摘要

随着互联网的不断发展,由于大量的网络服务和可用的格式(如视频、音频、文本或图像),诸如搜索在线资源之类的重复性和普通任务变得更加复杂。为了获取特定域中的资源,用户需要手动执行一些任务,例如导航不同的web服务、根据各种标准进行过滤以及选择相关的结果。然而,底层应用程序的上下文信息不足阻碍了用户的体验。在本文中,我们提出了一种工具,通过在多用户设置中自动检索感兴趣的资源来改善用户体验。我们将此方法应用于聊天场景,在该场景中,通过利用用户的个人上下文信息,用户可以接触到共同感兴趣的资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PALTask Chat: A Personalized Automated Context Aware Web Resources Listing Tool
With the constant evolution of the Internet, a repetitive and ordinary task such as searching online resources has become more complex due to the amount of web services and formats available (e.g., video, audio, text or images). In order to obtain resources within a specific domain, a user manually performs several tasks, such as navigating through different web services, filtering according to various criteria and selecting the relevant results. However, the insufficient contextual information of the underlying application hampers the user's experience. In this paper, we propose a tool to improve a user's experience by automating the task of retrieving interesting resources in a multi user setting. We apply this approach to a chat scenario where users are exposed to resources that are of common interests by exploiting the users' personal context information.
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