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Micro-videos have recently gained immense popularity, sparking critical research in micro-video recommendation with significant implications for the entertainment, advertising, and e-commerce industries.
Learning deep structured semantic models for web search using clickthrough data
Po-Sen Huang, Xiaodong He, Jianfeng Gao, Li Deng, Alex Acero, and Larry Heck · 2013
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Deep content-based music recommendation
Aaron Van den Oord, Sander Dieleman, and Benjamin Schrauwen · 2013
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F Maxwell Harper and Joseph A Konstan · 2015
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Paul Covington, Jay Adams, and Emre Sargin · 2016
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Tingting Han, Hongxun Yao, Chenliang Xu, Xiaoshuai Sun, Yanhao Zhang, and Jason J Corso · 2016
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Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Ruining He and Julian McAuley · 2016
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Joao Carreira and Andrew Zisserman · 2017
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Deepfm: a factorization-machine based neural network for ctr prediction
Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, and Xiuqiang He · 2017
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Neural factorization machines for sparse predictive analytics
Xiangnan He and Tat-Seng Chua · 2017
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The kinetics human action video dataset
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Large-scale content-only video recommendation
Joonseok Lee and Sami Abu-El-Haija · 2017
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Wang-Cheng Kang and Julian McAuley · 2018
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Yaman Kumar, Agniv Sharma, Abhigyan Khaund, Akash Kumar, Ponnurangam Kumaraguru, Rajiv Ratn Shah, and Roger Zimmermann · 2018
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Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, and Manohar Paluri · 2018
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Non-local neural networks
Xiaolong Wang, Ross Girshick, Abhinav Gupta, and Kaiming He · 2018
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Pog: personalized outfit generation for fashion recommendation at alibaba ifashion
Wen Chen, Pipei Huang, Jiaming Xu, Xin Guo, Cheng Guo, Fei Sun, Chao Li, Andreas Pfadler, Huan Zhao, and Binqiang Zhao · 2019
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Slowfast networks for video recognition
Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, and Kaiming He · 2019
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User-video co-attention network for personalized micro-video recommendation
Shang Liu, Zhenzhong Chen, Hongyi Liu, and Xinghai Hu · 2019
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Video classification with channel-separated convolutional networks
Du Tran, Heng Wang, Lorenzo Torresani, and Matt Feiszli · 2019
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Mmgcn: Multi-modal graph convolution network for personalized recommendation of micro-video
Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Richang Hong, and Tat-Seng Chua · 2019
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A hierarchical attention model for social contextual image recommendation
Le Wu, Lei Chen, Richang Hong, Yanjie Fu, Xing Xie, and Meng Wang · 2019
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Sampling-bias-corrected neural modeling for large corpus item recommendations
Kuairand: An unbiased sequential recommendation dataset with randomly exposed videos
Chongming Gao, Shijun Li, Yuan Zhang, Jiawei Chen, Biao Li, Wenqiang Lei, Peng Jiang, and Xiangnan He · 2022
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Real-time short video recommendation on mobile devices
Xudong Gong, Qinlin Feng, Yuan Zhang, Jiangling Qin, Weijie Ding, Biao Li, Peng Jiang, and Kun Gai · 2022
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Masked autoencoders are scalable vision learners
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2022
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Video swin transformer
Ze Liu, Jia Ning, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin, and Han Hu · 2022
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Mumin: A large-scale multilingual multimodal fact-checked misinformation social network dataset
Dan S Nielsen and Ryan McConville · 2022
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Training language models to follow instructions with human feedback
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Xinyang Yi, Ji Yang, Lichan Hong, Derek Zhiyuan Cheng, Lukasz Heldt, Aditee Kumthekar, Zhe Zhao, Li Wei, and Ed Chi · 2019
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A simple convolutional generative network for next item recommendation
Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M Jose, and Xiangnan He · 2019
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X3d: Expanding architectures for efficient video recognition
Christoph Feichtenhofer · 2020
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Lightgcn: Simplifying and powering graph convolution network for recommendation
Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zhang, and Meng Wang · 2020
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What aspect do you like: Multi-scale time-aware user interest modeling for micro-video recommendation
Hao Jiang, Wenjie Wang, Yinwei Wei, Zan Gao, Yinglong Wang, and Liqiang Nie · 2020
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Graph-refined convolutional network for multimedia recommendation with implicit feedback
Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, and Tat-Seng Chua · 2020
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Mind: A large-scale dataset for news recommendation
Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, et al · 2020
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Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
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Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training
Zhan Tong, Yibing Song, Jue Wang, and Limin Wang · 2022
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Target interest distillation for multi-interest recommendation
Chenyang Wang, Zhefan Wang, Yankai Liu, Yang Ge, Weizhi Ma, Min Zhang, Yiqun Liu, Junlan Feng, Chao Deng, and Shaoping Ma · 2022
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Transrec: Learning transferable recommendation from mixture-of-modality feedback
Jie Wang, Fajie Yuan, Mingyue Cheng, Joemon M Jose, Chenyun Yu, Beibei Kong, Zhijin Wang, Bo Hu, and Zang Li · 2022
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Gram: Fast fine-tuning of pre-trained language models for content-based collaborative filtering
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Tenrec: A large-scale multipurpose benchmark dataset for recommender systems
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Tencent-mvse: A large-scale benchmark dataset for multi-modal video similarity evaluation
Zhaoyang Zeng, Yongsheng Luo, Zhenhua Liu, Fengyun Rao, Dian Li, Weidong Guo, and Zhen Wen · 2022
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Dvr: Micro-video recommendation optimizing watch-time-gain under duration bias
Yu Zheng, Chen Gao, Jingtao Ding, Lingling Yi, Depeng Jin, Yong Li, and Meng Wang · 2022
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Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, and Ji-Rong Wen · 2023
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Junchen Fu, Fajie Yuan, Yu Song, Zheng Yuan, Mingyue Cheng, Shenghui Cheng, Jiaqi Zhang, Jie Wang, and Yunzhu Pan · 2023
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Vip5: Towards multimodal foundation models for recommendation
Shijie Geng, Juntao Tan, Shuchang Liu, Zuohui Fu, and Yongfeng Zhang · 2023
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Learning vector-quantized item representation for transferable sequential recommenders
Yupeng Hou, Zhankui He, Julian McAuley, and Wayne Xin Zhao · 2023
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Text is all you need: Learning language representations for sequential recommendation
Jiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, and Julian McAuley · 2023
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Ruyu Li, Wenhao Deng, Yu Cheng, Zheng Yuan, Jiaqi Zhang, and Fajie Yuan · 2023
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Gpt-4 technical report, 2023
OpenAI · 2023
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Improving micro-video recommendation by controlling position bias
Yisong Yu, Beihong Jin, Jiageng Song, Beibei Li, Yiyuan Zheng, and Wei Zhuo · 2023
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Where to go next for recommender systems? id-vs. modality-based recommender models revisited
Zheng Yuan, Fajie Yuan, Yu Song, Youhua Li, Junchen Fu, Fei Yang, Yunzhu Pan, and Yongxin Ni · 2023
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