Alleviating the Long-Tail Problem in Conversational Recommender Systems

1 code implementation • 21 Jul 2023 • Zhipeng Zhao, Kun Zhou, Xiaolei Wang, Wayne Xin Zhao, Fan Pan, Zhao Cao, Ji-Rong Wen

Conversational recommender systems (CRS) aim to provide the recommendation service via natural language conversations.

Recommendation Systems Retrieval

Improving Conversational Recommendation Systems via Counterfactual Data Simulation

1 code implementation • 5 Jun 2023 • Xiaolei Wang, Kun Zhou, Xinyu Tang, Wayne Xin Zhao, Fan Pan, Zhao Cao, Ji-Rong Wen

To develop our approach, we characterize user preference and organize the conversation flow by the entities involved in the dialogue, and design a multi-stage recommendation dialogue simulator based on a conversation flow language model.

counterfactual Data Augmentation +2

Interpretable Tsetlin Machine-based Premature Ventricular Contraction Identification

no code implementations • 20 Jan 2023 • Jinbao Zhang, Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, Yongjun Qian, Fan Pan

In this study, we develop a Tsetlin machine (TM) based architecture for premature ventricular contraction (PVC) identification by analysing long-term ECG signals.