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In this paper, we focus on Collaborative Filtering to provide recommendations to users that fit their profiles. We employed two methods: (1) K-Nearest Neighbors classifier, and (2) a fast implementation of Collaborative Filtering approach: “user-to-user fast XOR bit operation”. Both techniques serve the same objective, which is modifying the user's ontology profile (semantic profile). Technically,...
One of the first Multi-Language Information Retrieval (MLIR) systems was implemented in 1969 by Gerard Salton who enhanced his SMART system to retrieve multilingual documents in two languages, English and German. However, the research field of MLIR is still struggling since the majority of information retrieval systems are monolingual and more precisely English-based, even though only 6% of the world's...
The main objective of this paper is to propose and evaluate an architecture that provides, manages, and collects data that permit high levels of adaptability and relevance to the user profiles. In addition, we implement this architecture on a platform called HyperManyMedia. To achieve this objective, an approach for personalized search is implemented that takes advantage of the semantic Web standards...
In this paper, we describe an integrated and working E-learning search system for retrieving personalized semantically enriched learning resources. Within this context, this work proposes an architecture divided into four layers: (1) Semantic Representation (knowledge representation), (2) Algorithms, which are the core engine of this study, (3) Personalization Interface to deal with information filtering,...
The semantic Web has been evolved as a key technology, bringing new insights and solutions to well documented problems in e-learning. The research field of semantic e-learning covers a wide range of research problems. In this paper, we present an approach to visualize an ontology driven information retrieval system in the context of E-learning. This approach has been implemented on the HyperManyMedia...
This study examine faculty levels of implementation of web-based instructional technology (WBIT) and computer self-efficacy beliefs (CSE) as factors associated to faculty perception of institutional mechanisms and its relative importance as conditions supporting the implementation of eLearning in higher education. Using a sample of 334 faculty teaching at selected universities in the Commonwealth...
In this paper we present an evaluation methodology of personalized delivery of multimedia resources in an e-learning platform that takes advantage of Web 2.0 technologies and its standards, such as (i) streaming using RSS and Atom feeds, (ii) searching using meta-data search engine, (iii) delivering using ubiquitous computing and (iv) personalized learning. Our framework consists of the following...
We present an approach for personalized retrieval in an e-learning platform, that takes advantage of semantic Web standards to represent the learning content and the user/learner profiles as ontologies, and that re-ranks search results/lectures based on how the contained terms map to these ontologies. One important aspect of our approach is the combination of an authoritatively supplied taxonomy by...
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