Author:
Kharroubi Sahraoui,Dahmani Youcef,Nouali Omar
Publisher
Springer International Publishing
Reference17 articles.
1. Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: a survey of the state of the art and possible extensions. IEEE Trans. Knowl. Data Eng. 17(6), 734–749 (2005)
2. Breese, J., Heckerman, D., Kadie, C.: Empirical analysis of predictive algorithms for collaborative filtering. In: 14th Conference on Uncertainty in Artificial Intelligence. Proceedings, pp.43–52. Morgan Kaufmann Publishers Inc., San Francisco (1998)
3. Musto, C., Lops P., Gemmis M. D., Semeraro G.: Semantics-aware recommender systems exploiting linked open data and graph-based features. Knowl.-Based Syst. 136(C),1–14 (2017)
4. Yin, R., Li, K., Zhang, G., Lu, J.: A deeper graph neural network for recommender systems. Knowl.-Based Syst. 185(1) (2019)
5. Ling, C.-Y., Zou, Y.-Z., Lin, Z.-Q., Xie, B.: Graph embedding based API graph search and recommendation. J. Comput. Sci. Technol. 34(5), 993–1006 (2019). https://doi.org/10.1007/s11390-019-1956-2