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Group Assist Recommendation Model Based on Intelligent Mobile Terminals—GARMIT

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Mobile Web and Intelligent Information Systems (MobiWIS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9847))

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Abstract

Existing recommendations are more inclined to publish favorable information regarding the items. This asymmetry of item’s information can not make an objective assessment of the recommended items. To overcome this shortcoming, the paper proposes group assist recommendation model based on intelligent mobile terminals (GARMIT). That invites ordinary users in all kinds of social network group to recommend what they think is the right items. The score of each of the recommended items consists of all the evaluated scores by users with each of his or her credibility, the number of participants and contextual information of requester. The new model shows best performance in content size, accuracy and satisfaction, except that time consumption is a bit longer. Since the item information is supplied by the ordinary users, items are somehow updated automatically in our new model.

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Author information

Authors and Affiliations

  1. Huazhong University of Science and Technology, Wuhan, Hubei, China

    Lansheng Han, Changhua Sun, Mengxiao Qian & Shuxia Han

  2. Huawei Technologies Co., Ltd., Shenzheng, China

    Hamza Kwisaba

Authors
  1. Lansheng Han
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  2. Changhua Sun
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  3. Mengxiao Qian
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  4. Shuxia Han
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  5. Hamza Kwisaba
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Corresponding author

Correspondence to Changhua Sun .

Editor information

Editors and Affiliations

  1. Oxford Brookes University, Oxford, United Kingdom

    Muhammad Younas

  2. University of Bradford, Bradford, United Kingdom

    Irfan Awan

  3. University of Vienna, Vienna, Austria

    Natalia Kryvinska

  4. University of Vienna, Vienna, Austria

    Christine Strauss

  5. Telenor R&D, Fornebu, Norway

    Do van Thanh

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© 2016 Springer International Publishing Switzerland

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Han, L., Sun, C., Qian, M., Han, S., Kwisaba, H. (2016). Group Assist Recommendation Model Based on Intelligent Mobile Terminals—GARMIT. In: Younas, M., Awan, I., Kryvinska, N., Strauss, C., Thanh, D. (eds) Mobile Web and Intelligent Information Systems. MobiWIS 2016. Lecture Notes in Computer Science(), vol 9847. Springer, Cham. https://doi.org/10.1007/978-3-319-44215-0_35

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  • DOI: https://doi.org/10.1007/978-3-319-44215-0_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44214-3

  • Online ISBN: 978-3-319-44215-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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