Personalized Transformer for Explainable Recommendation
108 Citations•2021•
Lei Li, Yongfeng Zhang, Li Chen
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A PErsonalized Transformer for Explainable Recommendation (PETER), on which a simple and effective learning objective is designed that utilizes the IDs to predict the words in the target explanation, so as to endow the IDs with linguistic meanings and to achieve personalized Transformer.
Abstract
Lei Li, Yongfeng Zhang, Li Chen. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2021.