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      Sixth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2015) (FDIA 2015)
      Future Directions in Information Access
      31 August - 4 September 2015
      Recommender Systems, Topic Extraction, Social Media
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            Abstract

            Recommender Systems (RSs) are devices that are used to filter data to combat information overload and provide time saving measures to the user. While RSs have traditionally been done using a content or collaborative based approach, recent times have seen a surge in alternative approaches to try and alleviate some of the traditional problems found there such as the filter bubble, matrix scarcity and cold start issues. Many of these new approaches attempt to lever new sources to provide more accurate recommendations and offset some of these issues. In this paper we will outline some of the current flaws and propose a hypothetical system that will exploit external sources to improve upon the state of the art.

            Content

            Author and article information

            Contributors
            Conference
            September 2015
            September 2015
            : 30-33
            Affiliations
            College of Engineering and Informatics

            National University of Ireland Galway, Ireland
            Insight Centre for Data Analytics

            National University of Ireland Galway, Ireland
            Article
            10.14236/ewic/FDIA2015.8
            1c4239c7-6a7d-40d0-8ba6-fd23332d9a3f
            © Bradshaw. Published by BCS Learning and Development Ltd. Proceedings of the 6 th Symposium on Future Directions in Information Access 2015

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            Sixth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2015)
            FDIA 2015
            6
            Thessaloniki, Greece
            31 August - 4 September 2015
            Electronic Workshops in Computing (eWiC)
            Future Directions in Information Access
            History
            Product

            1477-9358 BCS Learning & Development

            Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/FDIA2015.8
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

            Applied computer science,Computer science,Security & Cryptology,Graphics & Multimedia design,General computer science,Human-computer-interaction
            Topic Extraction,Recommender Systems,Social Media

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