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ReMashed presentation at Community Building Cluster at CELSTEC, Heerlen, NL

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Hendrik Drachsler
Hendrik Drachsler
Technologie
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ReMashed - Recommendations for Mash-Up Personal Learning Environments Hendrik Drachsler, Dries Pecceu, Tanja Arts, Edwin Hutten, Peter van Rosmalen, Hans Hummel & Rob Koper
What is ReMashed? ,[object Object],[object Object]
Goals for ReMashed ,[object Object],[object Object],[object Object],[object Object]
How does it work? ,[object Object],[object Object]
How does it work? Cold-Start = Tag-based recommendation Collaborative Filtering with ratings
How can you use it? Register at remashed.ou.nl Enter your favorite Web 2.0 Potatoes. Join the community. ReMashed starts mashing. Taste your personal flavor of Web 2.0.
The 1 st Release
The 1 st Release Database of Items User Interface PHP Algorithms
The 2 nd Release
The 2 nd Release Database of Items User Interface DUINE Prediction Engine
Detailed System Overview
New Interface Features Provided recommendations can be rated now and removed from the list of recommended items by a black star function. An explanation why a item is recommend is also added to the interface. Besides specifying accounts for different Web2.0 services the learners can specify three main ‘Interests‘ (learning goals) supported by an auto-completion algorithm that is fed with learning goals and tags of other community members. Further, they can indicate their knowledge level in the particular field of interests in a self-assessed way.
Future R&D ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Many thanks for your interest! This slide is available here: http://www.slideshare.com/Drachsler Email: [email_address] Skype: hendrik.drachsler Blogging at: http://elgg.ou.nl/hdr/weblog Twittering at: http://twitter.com/HDrachsler

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ReMashed presentation at Community Building Cluster at CELSTEC, Heerlen, NL

  • 1. ReMashed - Recommendations for Mash-Up Personal Learning Environments Hendrik Drachsler, Dries Pecceu, Tanja Arts, Edwin Hutten, Peter van Rosmalen, Hans Hummel & Rob Koper
  • 2.
  • 3.
  • 4.
  • 5. How does it work? Cold-Start = Tag-based recommendation Collaborative Filtering with ratings
  • 6. How can you use it? Register at remashed.ou.nl Enter your favorite Web 2.0 Potatoes. Join the community. ReMashed starts mashing. Taste your personal flavor of Web 2.0.
  • 7. The 1 st Release
  • 8. The 1 st Release Database of Items User Interface PHP Algorithms
  • 9. The 2 nd Release
  • 10. The 2 nd Release Database of Items User Interface DUINE Prediction Engine
  • 12. New Interface Features Provided recommendations can be rated now and removed from the list of recommended items by a black star function. An explanation why a item is recommend is also added to the interface. Besides specifying accounts for different Web2.0 services the learners can specify three main ‘Interests‘ (learning goals) supported by an auto-completion algorithm that is fed with learning goals and tags of other community members. Further, they can indicate their knowledge level in the particular field of interests in a self-assessed way.
  • 13.
  • 14. Many thanks for your interest! This slide is available here: http://www.slideshare.com/Drachsler Email: [email_address] Skype: hendrik.drachsler Blogging at: http://elgg.ou.nl/hdr/weblog Twittering at: http://twitter.com/HDrachsler