A Social Recommender System using T-index Approach and Graph Search Mechanism

Soude Fazeli, Hendrik Drachsler, Peter Sloep

    Research output: Non-textual formSoftwareAcademic

    Abstract

    The software provides a recommender system, which make recommendations for users in social learning platforms like the one for Open Discovery Space (ODS) projects. The recommender uses user interactions data like rating, bookmarking, commenting, etc. The application has been developed using Java and MySQL. The software is available under GNU Lesser General Public License (LGPL3).
    Original languageEnglish
    Publication statusPublished - 14 Jan 2015

    Keywords

    • Open Discovery Space
    • recommender systems
    • social learning platforms

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