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Please use this identifier to cite or link to this item: http://hdl.handle.net/1820/2187

Title: ReMashed 1.0
Authors: Drachsler, Hendrik
Pecceu, Dries
Arts, Tanja
Hutten, Edwin
Rutledge, Lloyd
Keywords: recommender system
Web2.0
informal learning
navigation support
duine prediction engine
Issue Date: 4-Dec-2009
Abstract: ReMashed is a Web 2.0 Mash-up environment that allows learners to personalize information of a community to their preferences. ReMashed can be used by communities to share their Web 2.0 information and further personalize the shared information to personal preferences. ReMashed uses a recommender technology called collaborative filtering to generate recommendations. It works by matching together users with similar opinions about different resources. Each member of the system has a 'neighborhood' of other like-minded users. Ratings and Tags from these neighbors are used to create personalized recommendations. At the moment a tag and a rating based recommendation technique is applied. The ReMashed system is written in Zend PHP, it takes advantage of the Model-View-Controller’ concept and is therefore fully object based. The recommender system builds on top of the Duine prediction engine or alternatively on self designed recommendation algorithms.
Description: The license for this software is the BSD License owned by TENcompetence Foundation. Please find further license information in the package.
URI: http://hdl.handle.net/1820/2187
Appears in Collections:4. TENC: Software and Documentation

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