The development and proliferation of Web 2.0 technologies has impacted the way users retrieve and use information and the way they interact with each other. Web-based communities, wikis, blogs and social networks are some of the applications that have emerged in recent years. An important feature of Web 2.0 applications is that they experience an exponential growth of both users and content, leading to potentially viral social networking, collaboration, communication and knowledge sharing opportunities. This is especially true for professional individuals and communities which rely on rapid distribution of novel, innovative knowledge and learning content.

 

With the explosion of available content and applications on the Web, recommender systems have become crucial to assist learners in finding relevant content as well as tools. There has been much research done in the area of recommender systems over the past decade. Most of this research focuses on recommending content to users and vice versa, through collaborative filtering, content-based approaches or a combination of both. The goal of this workshop is to explore recommendation for learning – with specific focus on recommendation based on contextual information of the learner. In this context, new challenges emerge for understanding and capturing the context of the learner and exploiting such contextual information for creating intelligent recommendations and combinations of Web 2.0 applications, content and semantic structures. Examples include personalized learning environments that recommend and combine content and functionalities from various web sources, adapted to the needs and contexts of the learner.

 

Relevant topics include, but are not limited to:

Authors are invited to submit original unpublished research as papers (4-8 pages). Including demonstrations is explicitly encouraged. All submissions will be peer-reviewed by at least three members of the program committee for originality, significance, clarity, and quality.

 

Re-worked versions of accepted submissions will be published in the Journal of Universal Computer Science (JUCS).

 

Based on workshop submissions, the organizers will identify key research challenges. The workshop program will be organized as a series of discussions around these challenges, introduced through presentations of accepted submissions and keynote presentation. The final session of the workshop will bring together the results of the discussions and chart a common understanding of the future of context-aware recommendation for learning.

 

 

 

 

 

 

Notification of acceptance of abstracts:  October 20, 2009

Workshop: November 30 - December 1, 2009

Submission of papers: March 31, 2010

 

 

 

This 2009 Alpine Rendez-Vous is the second event of a series. It is organized and funded by

same hotel during the same week. Five workshops will be held on the Monday-Tuesday and four other workshops on the Wednesday-Thursday. On the Tuesday afternoon, all workshop participants are invited to join a common section, the Rendez-Vous, ending up with a social event.