Incorporating multidimensional information into dynamic recommendation process to cope with cold start and data sparsity problems
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-020-02695-4.pdf
Reference71 articles.
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4. Al-Shamri MYH (2016a) Effect of collaborative recommender system parameters. Adv in Artif Intell 2016:1–10. https://doi.org/10.1155/2016/9386368
5. Al-Shamri MYH (2016b) User profiling approaches for demographic recommender systems. Knowl Based Syst 100:175–187. https://doi.org/10.1016/j.knosys.2016.03.006
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