Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Using IR techniques for text classification in document analysis
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Information Processing and Management: an International Journal
An extended vector-processing scheme for searching information in hypertext systems
Information Processing and Management: an International Journal
Genetic algorithms for flowshop scheduling problems
Computers and Industrial Engineering
Information Processing and Management: an International Journal - Special issue on Information Seeking In Context (ISIC)
Adapting a diagnostic problem-solving model to information retrieval
Information Processing and Management: an International Journal
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
WISE: A World Wide Web Resource Database System
IEEE Transactions on Knowledge and Data Engineering
Uniform Crossover in Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
A conceptual map model for developing intelligent tutoring systems
Computers & Education
Centralization as a design consideration for the management of call centers
Information and Management
Quantum symmetrically-private information retrieval
Information Processing Letters
Information Processing and Management: an International Journal - Special issue: Cross-language information retrieval
Collaborative information retrieval in an information-intensive domain
Information Processing and Management: an International Journal
An effective approach for test-sheet composition with large-scale item banks
Computers & Education
Development of an automatic customer service system on the internet
Electronic Commerce Research and Applications
Quantum-inspired evolutionary algorithm for a class of combinatorial optimization
IEEE Transactions on Evolutionary Computation
Multi-agent Framework Support for Adaptive e-Learning
ICWL '08 Proceedings of the 7th international conference on Advances in Web Based Learning
Application of PageRank Technique in Collaborative Learning
Advances in Blended Learning
A learning style classification mechanism for e-learning
Computers & Education
Expert Systems with Applications: An International Journal
Estimating the difficulty level of the challenges proposed in a competitive e-learning environment
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
Evolutionary computation approaches to the Curriculum Sequencing problem
Natural Computing: an international journal
A self-adjusting e-course generation process for personalized learning
Expert Systems with Applications: An International Journal
Journal of Network and Computer Applications
A Multi-Agent Question-Answering System for E-Learning and Collaborative Learning Environment
International Journal of Distance Education Technologies
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With the rapid development in Information Technology (IT), the Internet has become one of the central media for conducting learning. However, most of the existing web-based learning systems only provide stand-alone subject materials for browsing and may face some drawbacks. For example, if students encounter problems during the learning process, their learning performances could be significantly devastated due to no instant aid. As an on-line learning system may interact with thousands of students, it is almost impossible for the teachers or the teaching assistants to answer all the students' questions manually, which is not only inefficient, but also human laborious. To cope with this problem, an e-learning system that is able to automatically answer the students' questions on the fly based on the training cases given by the teacher will be presented in this paper. Moreover, an enhanced genetic approach is proposed to optimize the weights of keywords for each candidate answer according to the feedbacks provided by the students, hence more accurate answers can be provided in the future. Experimental results have shown that the developed system can provide more accurate answerers than existing approaches by employing the self-adjusting method.