Do you want to connect? Recommendation strategies for building Personal Learning Networks

Kamakshi Rajagopal, Jan Van Bruggen, Peter Sloep

    Research output: Chapter in Book/Report/Conference proceedingConference Abstract/Poster in proceedingAcademicpeer-review

    Abstract

    Recommender systems in social networking sites make users of these sites aware of various resources and people that otherwise they may have missed. In Personal Learning Networks, recommendation is used to create new connections by creating opportunities for interaction and conversation between learners. This article describes the outcomes of a workshop held at the PLE Conference 2013 on the design of recommender systems and on the concepts that determine how they work.
    Original languageEnglish
    Title of host publicationTHE PLE CONFERENCE 2013
    Subtitle of host publicationLearning and Diversity in the Cities of the Future
    EditorsIlona Buchem, Graham Attwell, Gemma Tur
    PublisherBeuth Hochschule für Technik Berlin
    Pages321-326
    Number of pages6
    Publication statusPublished - Jul 2013
    Event4th International PLE conference 2013 - Berlin, Germany
    Duration: 10 Jul 201312 Jul 2013
    Conference number: 4
    http://pleconf.org/2013/

    Conference

    Conference4th International PLE conference 2013
    Country/TerritoryGermany
    CityBerlin
    Period10/07/1312/07/13
    Internet address

    Keywords

    • personal learning networks
    • recommendation
    • user profiles
    • natural language processing
    • zone of proximal development
    • Scoop.it!

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