Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning

no code implementations • 24 May 2024 • Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, Maarten de Rijke

Through the integration of LLMs, ToolRec enables conventional recommender systems to become external tools with a natural language interface.

UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction

1 code implementation • 16 Nov 2022 • Wei Tang, Benfeng Xu, Yuyue Zhao, Zhendong Mao, Yifeng Liu, Yong Liao, Haiyong Xie

Relational triple extraction is challenging for its difficulty in capturing rich correlations between entities and relations.

Relation Extraction

Time-aware Path Reasoning on Knowledge Graph for Recommendation

1 code implementation • 5 Aug 2021 • Yuyue Zhao, Xiang Wang, Jiawei Chen, Yashen Wang, Wei Tang, Xiangnan He, Haiyong Xie

In this work, we propose a novel Time-aware Path reasoning for Recommendation (TPRec for short) method, which leverages the potential of temporal information to offer better recommendation with plausible explanations.

Explainable Recommendation Relation Extraction