MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities

no code implementations • ACL 2022 • Yubo Ma, Zehao Wang, Mukai Li, Yixin Cao, Meiqi Chen, Xinze Li, Wenqi Sun, Kunquan Deng, Kun Wang, Aixin Sun, Jing Shao

Events are fundamental building blocks of real-world happenings.

Distillation is All You Need for Practically Using Different Pre-trained Recommendation Models

no code implementations • 1 Jan 2024 • Wenqi Sun, Ruobing Xie, Junjie Zhang, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen

Pre-trained recommendation models (PRMs) have attracted widespread attention recently.

Knowledge Distillation Sequential Recommendation

Universal Multi-modal Multi-domain Pre-trained Recommendation

no code implementations • 3 Nov 2023 • Wenqi Sun, Ruobing Xie, Shuqing Bian, Wayne Xin Zhao, Jie zhou

There is a rapidly-growing research interest in modeling user preferences via pre-training multi-domain interactions for recommender systems.

Recommendation Systems

AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems

no code implementations • 13 Oct 2023 • Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian McAuley, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen

The optimized agents can also propagate their preferences to other agents in subsequent interactions, implicitly capturing the collaborative filtering idea.

Collaborative Filtering Decision Making +2

RecBole 2.0: Towards a More Up-to-Date Recommendation Library

2 code implementations • 15 Jun 2022 • Wayne Xin Zhao, Yupeng Hou, Xingyu Pan, Chen Yang, Zeyu Zhang, Zihan Lin, Jingsen Zhang, Shuqing Bian, Jiakai Tang, Wenqi Sun, Yushuo Chen, Lanling Xu, Gaowei Zhang, Zhen Tian, Changxin Tian, Shanlei Mu, Xinyan Fan, Xu Chen, Ji-Rong Wen

In order to support the study of recent advances in recommender systems, this paper presents an extended recommendation library consisting of eight packages for up-to-date topics and architectures.

Benchmarking Data Augmentation +3