Abstract
This chapter presents how the tag-similarity based trust-network recommendation and the proposed directed serial parallel graph trust transitivity approaches are evaluated. Firstly, the experimental method and the analysis of the dataset is presented, then the baseline model of similarity calculation and recommendation techniques, followed by a description of the evaluation metrics, finally the experiment results are presented with detailed analysis and discussion.
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Bhuiyan, T. (2013). Experiments and Evaluation. In: Trust for Intelligent Recommendation. SpringerBriefs in Electrical and Computer Engineering. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6895-0_6
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DOI: https://doi.org/10.1007/978-1-4614-6895-0_6
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Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-6894-3
Online ISBN: 978-1-4614-6895-0
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