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Titlebook: Advances in User Modeling; UMAP 2011 Workshops, Liliana Ardissono,Tsvi Kuflik Conference proceedings 2012 Springer-Verlag GmbH Berlin Heide

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樓主: Adams
31#
發(fā)表于 2025-3-26 23:26:40 | 只看該作者
Separate Female and Male Meiosesder what facets or characteristics of a user might need to be contained within a user model in order to support cognitive functions. Here we examine previous mechanisms for creating a metacognitive and affective user model. We then take first steps to describe the necessary characteristics of a user
32#
發(fā)表于 2025-3-27 01:08:00 | 只看該作者
33#
發(fā)表于 2025-3-27 06:32:48 | 只看該作者
https://doi.org/10.1007/978-94-009-9963-3he massive social content could provide rich resources towards deriving social profiles to augment user models and improve adaptation in simulated learning environments. However, potentially valuable social contributions can be buried within highly noisy content that is irrelevant or spam. This pape
34#
發(fā)表于 2025-3-27 12:00:36 | 只看該作者
35#
發(fā)表于 2025-3-27 16:59:38 | 只看該作者
,Beilinson’s second conjecture,d in contexts where users focus their full attention to the system. This is not the case in automotive scenarios such as gas station recommendation. We want to provide recommendations proactively to reduce driver distraction while searching for information. Proactively delivered recommendations may
36#
發(fā)表于 2025-3-27 18:59:38 | 只看該作者
37#
發(fā)表于 2025-3-27 22:19:40 | 只看該作者
Conjectures in Arithmetic Algebraic Geometryng issues: pedagogic conversational agents, responsive open learning environments, and user modeling for all. Hereby, we report the state of the art in this area as gathered in the workshop papers and comment on the future research directions as discussed during the sessions.
38#
發(fā)表于 2025-3-28 04:30:12 | 只看該作者
39#
發(fā)表于 2025-3-28 06:48:44 | 只看該作者
40#
發(fā)表于 2025-3-28 13:39:10 | 只看該作者
Conjoint Behavioral Consultationogical agent in the form of hints based on a model of student learning. Previous studies with Prime Climb indicated that students may not always be paying attentions to the hints, even when they are justified. In this paper we discuss preliminary work on using eye tracking data on user attention pat
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