Name
Abstract | ||
|---|---|---|
The almost unlimited access to educational information plethora came with a drawback: finding meaningful material is not a straightforward task anymore. Recommender algorithms can be used to make smart decisions in complex information systems and help the users decide upon useful materials; therefore, they become a promising area in academia and industry. The current paper presents a survey on educational recommender systems RS: a set of analysis criteria are exposed and the technological specifications and challenges of each analysed system are provided, in the context of the main trends in the development of RS. Also, an ontology-based educational recommendation mechanism is proposed and its application to lifelong learning is highlighted, proving that RS can successfully support new learning paradigms. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1080/0144929X.2015.1128977 | Behaviour & IT |
Keywords | Field | DocType |
Recommender systems,learning models,information retrieval,semantic web,collaborative learning | Drawback,Recommender system,Information system,Ontology,World Wide Web,Collaborative learning,Computer science,Knowledge management,Semantic Web,Learning models,Lifelong learning | Journal |
Volume | Issue | ISSN |
35 | 4 | 0144-929X |
Citations | PageRank | References |
7 | 0.48 | 15 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maria-Iuliana Dascalu | 1 | 76 | 7.17 |
| Constanta-Nicoleta Bodea | 2 | 82 | 8.30 |
| Monica Nastasia Mihailescu | 3 | 7 | 0.48 |
| Elena Alice Tanase | 4 | 7 | 0.48 |
| Patricia Ordóñez de Pablos | 5 | 18 | 3.94 |
| DascaluMaria-Iuliana | 6 | 68 | 2.85 |
| BodeaConstanta-Nicoleta | 7 | 68 | 2.85 |
| MihailescuMonica Nastasia | 8 | 7 | 0.48 |
| TanaseElena Alice | 9 | 7 | 0.48 |