Zijian Wang

Modeling Long- and Short-Term User Behaviors for Sequential Recommendation with Deep Neural Networks

2021

In e-commerce platforms, a user's next behavior will be affected by his long-term constant interests and short-term temporal needs. Such information is usually hidden in the users' historical online behavior data, so how to capture …

Answering Complex Open-domain Questions Through Iterative Query Generation

2019

Peng Qi, Xiaowen Lin, Leo Mehr, Zijian Wang, Christopher D. Manning. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.

Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation

2022 · Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining

Recent advancements of sequential deep learning models such as Transformer and BERT have significantly facilitated the sequential recommendation. However, according to our study, the distribution of item embeddings generated by these models tends to degenerate …