After Twenty-Five Years of User Modeling and Adaptation...What Makes us UMAP?

P. D. Bra
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引用次数: 3

Abstract

ACM UMAP 2017 is the 25th conference on User Modeling, on Adaptive Hypermedia, or on both together (since 2009). The research has actually been going on for more than 25 years as initially there was a conference only every two years. This keynote offers both reflection on the past and outlook into the future, with the burning question: What makes us UMAP? We perform research on modeling users (individuals as well as groups), not just for fun but to use these models for recommendations and for adaptation. That's not unique to us. In recommender systems analyzing user behavior is needed in order to give better and better recommendations, and likewise an area like educational data mining analyzes how learners study in order to best guide them to new learning material or followup courses. With analysis of social networks and website adaptation we step into the same research area that is covered by the hypertext community. If all of this is "us" but "not just us", where is our identity? One key characteristic of User Modeling is our quest to come up with understandable user models, or scrutable as Judy Kay coins them. The same is true for the adaptation: we strive to understand why certain adaptation happens or why a certain recommendation is given. UMAP research is not complete if we cannot understand the chain that leads from user action to (a perhaps much later) system reaction. As we move from expert-driven adaptation towards data-driven adaptation the problem of understanding the user-modeling-to-adaptation process is becoming harder and harder. But we need this understanding to ensure that adaptation continues to adapt in the right way under continuously changing circumstances (both in what we adapt and in the users and context we adapt to). We need the understanding also to prevent continuous adaptation from creating filter bubbles and to avoid creating the illusion that the recommendations will always be "right" because of the "wisdom of the crowd" principle. One key element has always been missing from UMAP, and this keynote will fill that void: we need to practice what we preach. Therefore, the conference proceedings will only contain this abstract, but there will be a real paper to go with this abstract. That paper cannot be printed because it is adaptive. The URL of the keynote paper is http://gale.win.tue.nl/keynote/.
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经过25年的用户建模和适应…是什么让我们成为UMAP?
ACM UMAP 2017是第25届关于用户建模、自适应超媒体或两者结合的会议(自2009年以来)。这项研究实际上已经进行了25年多,最初每两年才举行一次会议。本次主题演讲既回顾了过去,也展望了未来,并提出了一个亟待解决的问题:是什么让我们成为UMAP?我们对建模用户(个人和组)进行研究,不仅仅是为了好玩,而是为了使用这些模型进行推荐和适应。这并不是我们独有的。在推荐系统中,分析用户行为是为了提供更好的推荐,同样,像教育数据挖掘这样的领域分析学习者如何学习,以便最好地指导他们学习新的学习材料或后续课程。通过对社交网络和网站适应性的分析,我们进入了超文本社区所涵盖的相同研究领域。如果所有这些都是“我们”,但“不只是我们”,那么我们的身份在哪里?用户建模的一个关键特征是我们寻求可理解的用户模型,或者如Judy Kay所创造的那样是可分析的。适应也是如此:我们努力理解为什么会发生某种适应,或者为什么会给出某种建议。如果我们不能理解从用户行为到(可能更晚)系统反应的链条,那么UMAP研究是不完整的。当我们从专家驱动的适应转向数据驱动的适应时,理解用户建模到适应过程的问题变得越来越困难。但是,我们需要这种理解,以确保在不断变化的环境下(在我们所适应的环境以及我们所适应的用户和环境中),以正确的方式继续进行适应。我们还需要这样的理解,以防止不断的适应产生过滤气泡,并避免产生一种错觉,即由于“人群的智慧”原则,建议总是“正确的”。UMAP一直缺少一个关键元素,而这次主题演讲将填补这一空白:我们需要实践我们所宣扬的。因此,会议记录将只包含此摘要,但将有一篇真正的论文与此摘要一起。这种纸不能打印,因为它是自适应的。主题论文的网址是http://gale.win.tue.nl/keynote/。
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