no code implementations • 7 Apr 2024 • Mengyan Wang, Yuxuan Hu, Shiqing Wu, Weihua Li, Quan Bai, Verica Rupar
While preference-based recommendation algorithms effectively enhance user engagement by recommending personalized content, they often result in the creation of ``filter bubbles''.
no code implementations • 6 Jul 2023 • Mengyan Wang, Yuxuan Hu, Zihan Yuan, Chenting Jiang, Weihua Li, Shiqing Wu, Quan Bai
This approach endeavors to transcend the constraints of the filter bubble, enrich recommendation diversity, and strike a belief balance among users while also catering to user preferences and system-specific business requirements.
no code implementations • 2 Feb 2023 • Mengyan Wang, Weihua Li, Jingli Shi, Shiqing Wu, Quan Bai
In this paper, we propose a novel method to address the complex problem of news recommendation.