Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation
Published in WSDM, 2019
Recommended citation: Huang, J., Ren, Z., Zhao, W. X., He, G., Wen, J. R., & Dong, D. (2019, January). Taxonomy-aware multi-hop reasoning networks for sequential recommendation. In Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining (pp. 573-581). https://dl.acm.org/doi/abs/10.1145/3289600.3290972
In this paper, we have proposed a novel Taxonomy-aware Multi-hop Reasoning Network (TMRN) for better understandin2g-haonpd modeling user preference for sequential recommendation. We have associated the learning of user preferences with the category hierarchy. paper, code
Recommended citation: Huang, J., Ren, Z., Zhao, W. X., He, G., Wen, J. R., & Dong, D. (2019, January). Taxonomy-aware multi-hop reasoning networks for sequential recommendation. In Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining (pp. 573-581).