Abstract
With the rapid development of cloud computing, massive web services have appeared quickly with a heavy burden for user to choose services that they preferred. To cope with the stress, many recommendation algorithms have been proposed. Nonetheless, the recommendation effects were not ideal due to the insufficient data in a cloud platform. For this situation, it is necessary for cloud platforms to cooperate with each other to share data. However, the cloud platforms generally do not intend share the data because of the uses’ privacy. Meanwhile, the traditional recommendation exist a series of challenges such as security and privacy, data tampering and so on. In order to address the above problems, we propose a blockchain-based service recommendation scheme (BPDS–SR) which can achieve a higher accuracy and lower cost with more profits.
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Acknowledgment
This work was supported in part by National Key R&D Program of China under Grant 2019YFB2102600, the National Natural Science Foundation of China (NSFC) under Grants 61832012, 61672321 and 61771289 and the Key Research and Development Program of Shandong Province under Grant 2019JZZY020124.
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Yan, B., Yu, J., Wang, Y., Guo, Q., Chai, B., Liu, S. (2020). Blockchain-Based Service Recommendation Supporting Data Sharing. In: Yu, D., Dressler, F., Yu, J. (eds) Wireless Algorithms, Systems, and Applications. WASA 2020. Lecture Notes in Computer Science(), vol 12384. Springer, Cham. https://doi.org/10.1007/978-3-030-59016-1_48
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DOI: https://doi.org/10.1007/978-3-030-59016-1_48
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