On Sandewall's paper: Nonmonotonic inference rules for multiple inheritance with exceptions
Artificial Intelligence
Machine Learning for User Modeling
User Modeling and User-Adapted Interaction
Predictive Statistical Models for User Modeling
User Modeling and User-Adapted Interaction
Empirical Evaluation of User Models and User-Adapted Systems
User Modeling and User-Adapted Interaction
Adaptive Hypermedia: An Attempt to Analyze and Generalize
MHVR '94 Selected papers from the First International Conference on Hypermedia, Multimedia, and Virtual Reality: Models, Systems, and Applications
Adaptive and intelligent web based education system: Towards an integral architecture and framework
Expert Systems with Applications: An International Journal
Review: Causal knowledge and reasoning by cognitive maps: Pursuing a holistic approach
Expert Systems with Applications: An International Journal
Web intelligence (WI): what makes wisdom web?
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Knowledge and reasoning supported by cognitive maps
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
| Hi-index | 12.05 |
Web-based Intelligent Systems (WBIS), e.g. information retrieval, intelligent Web, and e-Learning, deal with tasks such as acquisition, representation, and management of knowledge about users. Based on a user profile, WBIS are able to behave according the particular needs of people through the intelligent adaptation of services, content, navigation interfaces, and many more factors. Thereby, the design of an approach devoted to meet such tasks is critical for achieving the goals pursued by WBIS. Therefore, in this article an approach oriented to elicit, state, and administrate user knowledge is outlined. This work introduces a user model, which supports the selection of teaching experiences that are delivered to students in the e-Learning field. The aim is to enhance the apprenticeship of individuals that receive lectures according to the user model that a Web-based Education System (WBES) holds about them. According to a sort of empirical outcomes, it is concluded that: ''The success of WBIS is biased by the accurately acquisition, representation, and management of user knowledge fulfilled by the approach''.