A Novel Structural and Semantic Similarity in Social Recommender Systems
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-79725-6_3
Reference21 articles.
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2. Allyson, F.B., Danilo, M.L., José, S.M., Giovanni, B.C.: Sherlock n-overlap: invasive normalization and overlap coefficient for the similarity analysis between source code. IEEE Trans. Comput. 68(5), 740–751 (2018)
3. Bagchi, S.: Performance and quality assessment of similarity measures in collaborative filtering using mahout. Procedia Comput. Sci. 50, 229–234 (2015)
4. Bobadilla, J., Ortega, F., Hernando, A., Bernal, J.: A collaborative filtering approach to mitigate the new user cold start problem. Knowl.-Based Syst. 26, 225–238 (2012)
5. Bobadilla, J., Ortega, F., Hernando, A., Gutiérrez, A.: Recommender systems survey. Knowl.-Based Syst. 46, 109–132 (2013)
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