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- W1543657218 abstract "Web-based collaborative environments are benefiting from improved communication services. However, due to the great amount and diversity of users, some kind of adaptation is needed. In this paper we will present a user model constructed from users' interaction data and specially designed to provide a general framework for adaptation tasks in an open web-based adaptive collaborative environment. The user model proposed should be explicit and flexible and to this end we claim that a combination of knowledge based and machine learning techniques is adequate. Finally we will briefly present the adaptation tasks proposed up to now and the results obtained from a first preliminary empirical evaluation." @default.
- W1543657218 created "2016-06-24" @default.
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- W1543657218 date "2003-01-01" @default.
- W1543657218 modified "2023-10-15" @default.
- W1543657218 title "Collecting, Analyzing and Interpreting Data for User Model Acquisition in Open Web-Based Adaptive Collaborative Environment" @default.
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- W1543657218 doi "https://doi.org/10.1007/978-3-540-45226-3_178" @default.
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