Explainable Sequential Recommendation using Knowledge Graphs

Author:

Hou Hao1,Shi Chongyang1

Affiliation:

1. Beijing Institute of Technology, Beijing, China

Publisher

ACM Press

Reference12 articles.

1. Bordes, A., Usunier, N., García-Durán, A., Weston, J. and Yakhnenko, O. 2013. Translating Embeddings for Modeling Multi-relational Data. Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States. (2013), 2787--2795

2. Lin, Y., Liu, Z., Sun, M., Liu, Y. and Zhu, X. 2015. Learning Entity and Relation Embeddings for Knowledge Graph Completion. Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA. (2015), 2181--2187.

3. Wang, Z., Zhang, J., Feng, J. and Chen, Z. 2014. Knowledge Graph Embedding by Translating on Hyperplanes. Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, July 27 -31, 2014, Québec City, Québec, Canada. (2014), 1112--1119.

4. Ji, G., He, S., Xu, L., Liu, K. and Zhao, J. 2015. Knowledge Graph Embedding via Dynamic Mapping Matrix. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, ACL 2015, July 26-31, 2015, Beijing, China, Volume 1: Long Papers (2015), 687--696.

5. Rendle, S., Freudenthaler, C., Gantner, Z. and Schmidt-Thieme, L. 2009. BPR: Bayesian Personalized Ranking from Implicit Feedback. UAI 2009, Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, Montreal, QC, Canada, June 18-21, 2009 (2009), 452--461.

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