Encoding Hierarchical Schema via Concept Flow for Multifaceted Ideology Detection

1 code implementation • 29 May 2024 • Songtao Liu, Bang Wang, Wei Xiang, Han Xu, Minghua Xu

BICo enables the concepts to flow across levels of the schema tree and enriches concept representations with multi-granularity semantics.

Contrastive Learning

Masked Graph Transformer for Large-Scale Recommendation

no code implementations • 7 May 2024 • Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong

Graph Transformers have garnered significant attention for learning graph-structured data, thanks to their superb ability to capture long-range dependencies among nodes.

Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness

no code implementations • 21 Feb 2024 • Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr

Recommender systems (RSs) have gained widespread applications across various domains owing to the superior ability to capture users' interests.

Diversity Fairness +1

Enhancing Transformers without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation

no code implementations • 20 Aug 2023 • Vivian Lai, Huiyuan Chen, Chin-Chia Michael Yeh, Minghua Xu, Yiwei Cai, Hao Yang

Despite their success, Transformer-based models often require the optimization of a large number of parameters, making them difficult to train from sparse data in sequential recommendation.

Self-Supervised Learning Sequential Recommendation