Biao Li

According to our database, Biao Li authored at least 14 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System.

Chongming Gao, Shiqi Wang, Shijun Li, Jiawei Chen, Xiangnan He, Wenqiang Lei, Biao Li, Yuan Zhang, Peng Jiang

ACM Trans. Inf. Syst., January, 2024

Discrete Conditional Diffusion for Reranking in Recommendation.

Xiao Lin, Xiaokai Chen, Chenyang Wang, Hantao Shu, Linfeng Song, Biao Li, Peng Jiang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023

Disentangled Causal Embedding With Contrastive Learning For Recommender System.

Weiqi Zhao, Dian Tang, Xin Chen, Dawei Lv, Daoli Ou, Biao Li, Peng Jiang, Kun Gai

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems from a Multi-task Perspective.

Yuan Zhang, Xue Dong, Weijie Ding, Biao Li, Peng Jiang, Kun Gai

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Measuring Item Global Residual Value for Fair Recommendation.

Jiayin Wang, Weizhi Ma, Chumeng Jiang, Min Zhang, Yuan Zhang, Biao Li, Peng Jiang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation.

Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Tree based Progressive Regression Model for Watch-Time Prediction in Short-video Recommendation.

Xiao Lin, Xiaokai Chen, Linfeng Song, Jingwei Liu, Biao Li, Peng Jiang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Real-time Short Video Recommendation on Mobile Devices.

Xudong Gong, Qinlin Feng, Yuan Zhang, Jiangling Qin, Weijie Ding, Biao Li, Peng Jiang

CoRR, 2022

KuaiRec: A Fully-observed Dataset for Recommender Systems.

Chongming Gao, Shijun Li, Wenqiang Lei, Biao Li, Peng Jiang, Jiawei Chen, Xiangnan He, Jiaxin Mao, Tat-Seng Chua

CoRR, 2022

LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm.

Meng Ai, Biao Li, Heyang Gong, Qingwei Yu, Shengjie Xue, Yuan Zhang, Yunzhou Zhang, Peng Jiang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Make Fairness More Fair: Fair Item Utility Estimation and Exposure Re-Distribution.

Jiayin Wang, Weizhi Ma, Jiayu Li, Hongyu Lu, Min Zhang, Biao Li, Yiqun Liu, Peng Jiang, Shaoping Ma

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Real-time Short Video Recommendation on Mobile Devices.

Xudong Gong, Qinlin Feng, Yuan Zhang, Jiangling Qin, Weijie Ding, Biao Li, Peng Jiang, Kun Gai

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos.

Chongming Gao, Shijun Li, Yuan Zhang, Jiawei Chen, Biao Li, Wenqiang Lei, Peng Jiang, Xiangnan He

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems.

Chongming Gao, Shijun Li, Wenqiang Lei, Jiawei Chen, Biao Li, Peng Jiang, Xiangnan He, Jiaxin Mao, Tat-Seng Chua

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022