Y. Wang, L. Wang, Y. Li, D. He, und T. Liu. Proceedings of the 26th Annual Conference on Learning Theory, Volume 30 von Proceedings of Machine Learning Research, Seite 25--54. Princeton, NJ, USA, PMLR, (Juni 2013)
S. Wang, L. Hu, Y. Wang, X. He, Q. Sheng, M. Orgun, L. Cao, F. Ricci, und P. Yu. (2021)cite arxiv:2105.06339Comment: Accepted by IJCAI 2021 Survey Track, copyright is owned to IJCAI. The first systematic survey on graph learning based recommender systems. arXiv admin note: text overlap with arXiv:2004.11718.
G. Schröder, M. Thiele, und W. Lehner. Proceedings of the Workshop on User-Centric Evaluation of Recommender Systems and Their Interfaces, Seite 78--85. Chicago, USA, CEUR-WS, (Oktober 2011)
M. Dacrema, P. Cremonesi, und D. Jannach. (2019)cite arxiv:1907.06902Comment: Source code available at: https://github.com/MaurizioFD/RecSys2019_DeepLearning_Evaluation.
S. Ghosh, M. Mundhe, K. Hernandez, und S. Sen. Proceedings of the Third Annual Conference on Autonomous Agents, Seite 434--435. New York, NY, USA, ACM, (1999)
A. Sharma, J. Hofman, und D. Watts. Proceedings of the Sixteenth ACM Conference on Economics and Computation, Seite 453--470. New York, NY, USA, ACM, (2015)
R. Bell, und Y. Koren. Proceedings of the Seventh International Conference on Data Mining, Seite 43--52. Washington, DC, USA, IEEE Computer Society, (2007)