Abstract
The authenticity of comments (ratings) and feedback from users have a direct impact on view prediction in the collective system. Authenticity refers to the user’s comments and feedback which represents their subjective opinions. For example, if user x is satisfied with product y, he will comment a high rating for it, and if user x give user z a trust statement that means user x believe that user z’s comment is helpful. If most users in the system cannot provide correctly information (comments and trust tags), it’s hard to estimate the ratings which the target users will give to unknown item effectively in collaborative filtering and trust-based prediction system.
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© 2013 Springer Science+Business Media New York
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Luo, T., Chen, S., Xu, G., Zhou, J. (2013). Framework for Robustness Analysis. In: Trust-based Collective View Prediction. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7202-5_7
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DOI: https://doi.org/10.1007/978-1-4614-7202-5_7
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Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-7201-8
Online ISBN: 978-1-4614-7202-5
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