1. Borchers, A., Herlocker, J.: Ganging up on information overload. Computer 31(4), 106–108 (1998)
2. Wei, G., Wu, Q., Zhou, M.: A hybrid probabilistic multiobjective evolutionary algorithm for commercial recommendation systems. IEEE Trans. Comput. Soc. Syst. 8(3), 589–598 (2021)
3. Zhao, Z., Shang, M.: User-based collaborative-filtering recommendation algorithms on Hadoop. In: IEEE International Conference on Knowledge Discovery and Data Mining, pp. 478–481 (2010)
4. Lv, Y., Zheng, Y., Wei, F., et al.: AICF: attention-based item collaborative filtering. Adv. Eng. Inform. 44(101090), 1–11 (2020)
5. Chen, J., Wang, Z., Zhu, T., Rosas, F.E.: Recommendation algorithm in double-layer network based on vector dynamic evolution clustering and attention mechanism. Complexity 2020(3), 1–19 (2020)