Mining Interest Trends and Adaptively Assigning SampleWeight for Session-based Recommendation

no code implementations • 20 Jun 2023 • Kai Ouyang, Xianghong Xu, Miaoxin Chen, Zuotong Xie, Hai-Tao Zheng, Shuangyong Song, Yu Zhao

Session-based Recommendation (SR) aims to predict users' next click based on their behavior within a short period, which is crucial for online platforms.

Session-Based Recommendations

A Survey of Natural Language Generation

no code implementations • 22 Dec 2021 • Chenhe Dong, Yinghui Li, Haifan Gong, Miaoxin Chen, Junxin Li, Ying Shen, Min Yang

This paper offers a comprehensive review of the research on Natural Language Generation (NLG) over the past two decades, especially in relation to data-to-text generation and text-to-text generation deep learning methods, as well as new applications of NLG technology.

Data-to-Text Generation nlg evaluation