Towards Ranking in Folksonomies for Personalized Recommender Systems in E-Learning.
1. CROKODIL provides support for
the collaborative acquisition and
management of web resources
for learning purposes by
offering:
Semantic tagging (tag types)
Activity hierarchies to
structure these resources
Learner groups
Application Scenario
Towards Ranking
in Folksonomies for
Personalized Recommender
Systems in E-Learning
Mojisola Anjorin, Christoph Rensing, Ralf Steinmetz
Contact: mojisola.anjorin@kom.tu-darmstadt.de
Personalized recommender systems
support learners by suggesting relevant
resources for learning purposes.
The challenge however, is identifying
these relevant resources considering the
learner’s personal context and needs.
To this aim, additional semantics found
in folksonomies can be exploited to
enhance the ranking of resources
Motivation
Create a folksonomy-based
recommender system
Rank resources considering
context semantics (Extension of
FolkRank)
Integrate User Feedback and
Relevance Ranking (Rochio’s
approach)
Offer explanations of
recommendations to stimulate
reflection
Enrich recommendations with
external learning resources (OER)
Conceptual Approach
Implement and
evaluate algorithms
Integrate approach in
application scenario
Evaluate approach
Conduct usability
study to evaluate user
acceptance
Future Work