第四届KidRec工作坊-“好是什么样子?”:从设计、研究、实践到政策

M. Landoni, J. A. Fails, T. Huibers, N. Kucirkova, Emiliana Murgia, M. S. Pera
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引用次数: 5

摘要

不断收集和存储有关人员的数据,以帮助理解信息检索系统(IRS)可以利用的模式,例如搜索引擎或推荐系统,以识别和排序响应不同用户需求的资源。作为一个重要的技术用户群体,儿童的数据也被IRS收集。在我们提议的研讨会的第四版中,我们寻求继续建立与儿童IRS相关的专业社区,并扩展第三版KidRec中确定的框架,该框架概述了如何评估良好的IRS。这一次,我们特别感兴趣的是探索设计、研究和实践的观点如何在这个领域内统一地定义政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
4th KidRec workshop - "what does good look like?": from design, research, and practice to policy
Data about people are constantly collected and stored to help understand patterns which can then be leveraged by information retrieval systems (IRS), such as search engines or recommender systems, to identify and rank resources that respond to diverse users' needs. As a significant group of technology users, children's data are also collected for IRS. In the 4th edition of our proposed workshop, we seek to continue to build professional community connected to children's IRS and expand on the framework identified in the 3rd KidRec that outlines how to evaluate good IRS. This time, we are particularly interested in exploring how design, research, and practice perspectives can cohesively define policy in this area.
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