Guohao Cai

Dual Sequence Transformer for Query-based Interactive Recommendation

2021

Interactive recommendation has drawn widespread attention from both academia and industry due to its effectiveness in real-world mobile applications. Instead of receiving message passively, customers can exploit further with less effort through generated queries. Usually, …

BARS

2022 · Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

The past two decades have witnessed the rapid development of personalized recommendation techniques. Despite the significant progress made in both research and practice of recommender systems, to date, there is a lack of a widely-recognized …

Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation

2021 · Proceedings of the AAAI Conference on Artificial Intelligence

Sequential recommender systems aim to model users’ evolving interests from their historical behaviors, and hence make customized time-relevant recommendations. Compared with traditional models, deep learning approaches such as CNN and RNN have achieved remarkable advancements …