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Improving effectiveness of query expansion using information theoretic approach This paper explores automatic query expansion to improve information retrieval performance […]
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Machine learning approach for automatic document summarization This paper investigates a machine learning-based approach for automatic document summarization, focusing on […]
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Genetic algorithm based model for effective document retrieval This paper proposes a genetic algorithm-based model to optimize similarity measures in […]
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A Framework for Automatic Query Expansion This paper presents a framework and computational model for automatic query expansion using pseudo-relevance […]
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Vat-rubars: A visualization and analytical tool for a rule-based recommender system to support teachers in a learner-centered learning approach This […]
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A trainable document summarizer using Bayesian classifier approach This paper investigates a machine learning-based approach for document summarization, focusing on […]
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Toward recommending learning tasks in a learner-centered approach This paper presents a rule-based recommender system designed to support learner-centered education […]
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Student effort vs. outcome: analysis through Moodle logs This paper examines whether positive student effort in face-to-face courses supported by […]
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A rule-based recommender system to suggest learning tasks This paper presents a rule-based recommender system designed to support learner-centered learning, […]
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MOOC as supplementary tutoring to public school students learning This paper explores the integration of Massive Open Online Courses (MOOCs) […]
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Co-occurrence based predictors for estimating query difficulty This paper explores query difficulty prediction to assess how reliably an information retrieval […]
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A framework to provide personalization in learning management systems through a recommender system approach This paper explores personalization in Learning […]
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Modular Neural Network Learning Using Fuzzy Temporal Database We proposed a novel mechanism for neural networks’ initial learning and training. […]
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A GA Based Approach for Effective Information Retrieval Our work explored using Genetic Algorithms (GAs) to enhance Information Retrieval (IR) […]
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A Framework for Efficient Document Ranking Using Order and Non-Order Based Fitness Function This paper explores the use of Genetic […]
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WEBLORS–a personalized web-based recommender system WEBLORS is an adaptive recommender system designed to enhance learning experiences by delivering personalized web-based […]
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Improving effectiveness of query expansion using information theoretic approach Automatic query expansion is a widely used method to enhance the […]
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Learning object recommendation system evaluation This paper evaluates the effectiveness of a learning object recommendation system in enhancing the discovery […]
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