Timezone: »
Existing benchmark datasets for recommender systems (RS) either are created at a small scale or involve very limited forms of user feedback. RS models evaluated on such datasets often lack practical values for large-scale real-world applications. In this paper, we describe Tenrec, a novel and publicly available data collection for RS that records various user feedback from four different recommendation scenarios. To be specific, Tenrec has the following five characteristics: (1) it is large-scale, containing around 5 million users and 140 million interactions; (2) it has not only positive user feedback, but also true negative feedback (vs. one-class recommendation); (3) it contains overlapped users and items across four different scenarios; (4) it contains various types of user positive feedback, in forms of clicking, liking, sharing, and following, etc; (5) it contains additional features beyond the user IDs and item IDs. We verify Tenrec on ten diverse recommendation tasks by running several classical baseline models per task. Tenrec has the potential to become a useful benchmark dataset for a majority of popular recommendation tasks. Our source codes and datasets will be included in supplementary materials.
Author Information
Guanghu Yuan (University of Science and Technology of China)
Fajie Yuan (Westlake University)
Yudong Li (SUN YAT-SEN UNIVERSITY)
Beibei Kong (Tencent PCG )
Shujie Li (University of Science and Technology of China)
Lei Chen (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences)
Min Yang (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Chinese Academy of Sciences)
Chenyun YU (SUN YAT-SEN UNIVERSITY)
Bo Hu (Tencent)
Zang Li (Tencent AI Lab)
Yu Xu (University of Waterloo)
Xiaohu Qie (Tencent)
More from the Same Authors
-
2022 Spotlight: Lightning Talks 3B-4 »
Guanghu Yuan · Yijing Liu · Li Yang · Yongri Piao · Zekang Zhang · Yaxin Xiao · Lin Chen · Yinqi Li · Fajie Yuan · Guangyu Gao · Hong Chang · Qinxian Liu · Zhixiang Wei · Qingqing Ye · Chenyang Lu · Jian Meng · Haibo Hu · Xin Jin · Yudong Li · Miao Zhang · Zhiyuan Fang · Jae-sun Seo · Bingpeng MA · Jian-Wei Zhang · Shiguang Shan · Haozhe Feng · Huaian Chen · Deliang Fan · Huadi Zheng · Jianbo Jiao · Huchuan Lu · Beibei Kong · Miao Zheng · Chengfang Fang · Shujie Li · Zhongwei Wang · Yunchao Wei · Xilin Chen · Jie Shi · Kai Chen · Zihan Zhou · Lei Chen · Yi Jin · Wei Chen · Min Yang · Chenyun YU · Bo Hu · Zang Li · Yu Xu · Xiaohu Qie -
2022 Spotlight: Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems »
Guanghu Yuan · Fajie Yuan · Yudong Li · Beibei Kong · Shujie Li · Lei Chen · Min Yang · Chenyun YU · Bo Hu · Zang Li · Yu Xu · Xiaohu Qie -
2022 Poster: DeVRF: Fast Deformable Voxel Radiance Fields for Dynamic Scenes »
Jia-Wei Liu · Yan-Pei Cao · Weijia Mao · Wenqiao Zhang · David Junhao Zhang · Jussi Keppo · Ying Shan · Xiaohu Qie · Mike Zheng Shou -
2022 Poster: Exploring evolution-aware & -free protein language models as protein function predictors »
Mingyang Hu · Fajie Yuan · Kevin Yang · Fusong Ju · Jin Su · Hui Wang · Fei Yang · Qiuyang Ding