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      “The Devil You Know Knows Best” – How Online Recommendations Can Benefit From Social Networking

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      Proceedings of HCI 2007 The 21st British HCI Group Annual Conference University of Lancaster, UK (HCI)

      British HCI Group Annual Conference

      3 - 7 September 2007

      Recommender systems, online advice-seeking, social networking, decision support

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The defining characteristic of the Internet today is an abundance of information and choice. Recommender Systems (RS), designed to alleviate this problem, have so far not been very successful, and recent research suggests that this is due to the lack of the social context and inter-personal trust. We simulated an online film RS with 60 participants, where recommender information was added to the recommendations, and a subset of these were attributed to friends of the participants. Participants overwhelmingly preferred recommendations from familiar recommenders with whom they shared interests and a high rating overlap. When recommenders were familiar, rating overlap was the most important decision factor, whereas when they were unfamiliar, the combination of profile similarity and rating overlap was important. We recommend that RS and social networking functionality should be integrated, and show how RS functionality can be added to an existing social networking system by visualising profile similarity.

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          Most cited references 10

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          Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions

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                Author and article information

                Contributors
                Conference
                September 2007
                September 2007
                : 1-11
                Affiliations
                University College London

                Department of Computer Science

                Gower Street

                London WC1E 6BT
                University College London

                Department of Psychology

                Gower Street

                London WC1E 6BT
                10.14236/ewic/HCI2007.8
                © Philip Bonhard et al. Published by BCS Learning and Development Ltd. Proceedings of HCI 2007 The 21st British HCI Group Annual Conference University of Lancaster, UK

                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/

                Proceedings of HCI 2007 The 21st British HCI Group Annual Conference University of Lancaster, UK
                HCI
                21
                Lancaster, UK
                3 - 7 September 2007
                Electronic Workshops in Computing (eWiC)
                British HCI Group Annual Conference
                Product
                Product Information: 1477-9358 BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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