A service recommendation approach based on trusted user profiles and an enhanced similarity measure
Author:
Publisher
Springer Science and Business Media LLC
Subject
Human-Computer Interaction,Economics, Econometrics and Finance (miscellaneous)
Link
http://link.springer.com/content/pdf/10.1007/s10660-021-09480-1.pdf
Reference44 articles.
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2. Yang, Z., Wu, B., Zheng, K., Wang, X., & Lei, L. (2016). A survey of collaborative filtering-based recommender systems for mobile internet applications. IEEE Access, 4, 3273–3287. https://doi.org/10.1109/ACCESS.2016.2573314.
3. Ahmadian, S., Meghdadi, M., & Afsharchi, M. (2018). Incorporating reliable virtual ratings into social recommendation systems. Applied Intelligence, 48(11), 4448–4469.
4. Zheng, X., Xu, L. D., & Chai, S. (2017). QoS recommendation in cloud services. IEEE Access, 5, 5171–5177. https://doi.org/10.1109/ACCESS.2017.2695657.
5. Liu, Y., & Yang, J. (2015). Improving ranking-based recommendation by social information and negative similarity. In 3rd international conference on information technology and quantitative management, ITQM 2015 (Vol. 55, pp. 732–740). https://doi.org/10.1016/j.procs.2015.07.164.
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