1. Agapito, G., Simeoni, M., Calabrese, B., Guzzi, P.H., Fuiano, G., Cannataro, M.: DIETOS: a recommender system for health profiling and diet management in chronic diseases. In: Proceedings of the 11th ACM International Conference on Recommender Systems, RecSys 2017, vol. 1953, pp. 32–35 (2017)
2. Agrawal, R., Srikant, R., et al.: Fast algorithms for mining association rules. In: Proceedings of the 20th Conference on Very Large Data Bases, VLDB 1994, vol. 1215, pp. 487–499 (1994)
3. Cao, D., Nie, L., He, X., Wei, X., Zhu, S., Chua, T.: Embedding factorization models for jointly recommending items and user generated lists. In: the 40th Conference on Research and Development in Information Retrieval, SIGIR 2017, pp. 585–594 (2017)
4. Chang, J., Gao, C., He, X., Jin, D., Li, Y.: Bundle recommendation with graph convolutional networks. In: Proceedings of the 43rd International Conference on Research and Development in Information Retrieval, SIGIR 2019, pp. 1673–1676 (2019)
5. Chen, L., Liu, Y., He, X., Gao, L., Zheng, Z.: Matching user with item set: collaborative bundle recommendation with deep attention network. In: Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019, pp. 2095–2101 (2019)