Learning Large-scale Universal User Representation with Sparse Mixture of Experts

no code implementations • 11 Jul 2022 • Caigao Jiang, Siqiao Xue, James Zhang, Lingyue Liu, Zhibo Zhu, Hongyan Hao

However, unlike natural language processing (NLP) tasks, the parameters of user behaviour model come mostly from user embedding layer, which makes most existing works fail in training a universal user embedding of large scale.

MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data

no code implementations • NeurIPS 2021 • Zhibo Zhu, Ziqi Liu, Ge Jin, Zhiqiang Zhang, Lei Chen, Jun Zhou, Jianyong Zhou

Time series forecasting is widely used in business intelligence, e. g., forecast stock market price, sales, and help the analysis of data trend.

Time Series Forecasting

Attentive Aspect Modeling for Review-aware Recommendation

no code implementations • 11 Nov 2018 • Xinyu Guan, Zhiyong Cheng, Xiangnan He, Yongfeng Zhang, Zhibo Zhu, Qinke Peng, Tat-Seng Chua

The common aspects mentioned in a user's reviews and a product's reviews indicate indirect connections between the user and product.