Name
Title | ||
|---|---|---|
Improving Recall and Precision of a Personalized Semantic Search Engine for E-learning |
Abstract | ||
|---|---|---|
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 (RDF and OWL) to represent the content and the user profiles. The framework consists of the following phases: (1) building the semantic E-learning domain using the known college and course information as concept and sub-concept, (2) generating the semantic user profiles as ontologies, (3) clustering the documents to discover more refined sub-concepts, (4) reranking the user’s search results based on his/her profile, and (5) providing the user with semantic recommendations. The implementation of the ontologies models is separate from the design and implementation of the information retrieval system, thus providing a modular framework that is easy to adapt and port to other platforms. Finally, the experimental results show that the user context can be effectively used for improving the precision and recall in E-learning search, particularly by re-ranking the search results based on the user profiles. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICDS.2010.63 | St. Maarten |
Keywords | Field | DocType |
course information,semantic e-learning domain,user profile,personalized semantic search engine,personalized search,semantic web standard,e-learning search,user context,semantic user profile,semantic recommendation,search result,document clustering,owl,semantics,ontologies,clustering algorithms,search engine,personalization,rdf,semantic search,evaluation,search engines,electronic learning,information retrieval system,semantic web | Ontology (information science),Personalized search,Semantic search,Information retrieval,Semantic Web Stack,Computer science,Document clustering,Precision and recall,Semantic Web,RDF | Conference |
ISBN | Citations | PageRank |
978-1-4244-5805-9 | 6 | 0.45 |
References | Authors | |
12 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Olfa Nasraoui | 1 | 1515 | 164.53 |
| Leyla Zhuhadar | 2 | 146 | 17.53 |