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Titlebook: Advances in Web Based Learning -- ICWL 2006; 5th International Co Wenyin Liu,Qing Li,Rynson W.H. Lau Conference proceedings 2006 Springer-V

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發(fā)表于 2025-3-28 17:25:45 | 只看該作者
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發(fā)表于 2025-3-28 22:19:03 | 只看該作者
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發(fā)表于 2025-3-29 02:49:24 | 只看該作者
Intelligent Knowledge Recommendation System Based on Web Log and Cache Data paper, an intelligent recommendation system is proposed. The system depends on the mining results of Web log and cache data, comprehensively evaluates the influence of navigation times, browsing period, and page volume. Through effective classification of the interested pages from Web log and cache
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發(fā)表于 2025-3-29 06:52:37 | 只看該作者
Learning Patterns: A Mechanism for the Personalization of Adaptive E-Learningried out by browsing such a collection of educational materials and its effectiveness was based on the . of content in those materials. Customizing the presentation and interactivity of an e-learning application based on the users (which we call here personalization), should be done based on each le
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發(fā)表于 2025-3-29 10:19:50 | 只看該作者
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發(fā)表于 2025-3-29 11:42:25 | 只看該作者
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發(fā)表于 2025-3-29 17:59:16 | 只看該作者
A Semantics Based Information Distribution Framework for Large Web-Based Course Forum Systemum server is full equipped with ability to support some course forums independently. The forum servers collaborating with each other constitute the whole forum system. Therefore the workload of the course forums can be shared by a group of the servers. With the secure group communication protocol an
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發(fā)表于 2025-3-29 22:52:08 | 只看該作者
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發(fā)表于 2025-3-30 03:22:05 | 只看該作者
The Database Model and the System Architecture of a National Learning Objects Repository for Cypruse a web-based application allowing indexing, uploading and downloading of e-learning resources, creation and modification of Learning Objects (LOs) and querying. The proposed database model underpins the development of the NLORC. The model caters for the creation, storage and manipulation of LOs. Af
50#
發(fā)表于 2025-3-30 04:13:18 | 只看該作者
Collaboratively Shared Information Retrieval Model for e-Learningn their internal ranking algorithms, which may be designed for either general-purpose information and/or specific domains. In order to fight for bigger market share, they have developed advanced tools to facilitate the algorithms through the use of Relevance Feedback (RF) e.g. Google’s Toolbar. Expe
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