Adaptive hybrid recommender system of learning objects
- Authors
- Aguilar, Jos? L.
- Format
- Article
- Status
- publishedVersion
- Description
This paper presents the general architecture of an adaptive recommender system of learning objects, whose recommendations combine three distinct aspects: contents, collaboration and knowledge. The recommender system is implemented like a semantic web service, designed with the framework FODAS-WS, which allows the specification of computational systems using ontologies, using the ODA (Ontology Driven Architecture) paradigm.
- Publication Year
- 2016
- Language
- eng
- Topic
- INTELLIGENT RECOMMENDER SYSTEMS
LEARNING OBJECTS
LEARNING STYLE
CALIBRATION OF RECOMMENDERS
- Repository
- Repositorio SENESCYT
- Rights
- openAccess
- License
- closedAccess