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RecBole has recently attracted increasing attention from the research community.
S3-rec: Self-supervised learning for sequential recommendation with mutual information maximization. In Proceedings of the 29th ACM International Conference on Information & Knowledge Management
Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, and Ji-Rong Wen. 2020a · 1902
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A neural collaborative filtering model with interaction-based neighborhood. In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management
Ting Bai, Ji-Rong Wen, Jun Zhang, and Wayne Xin Zhao. 2017 · 1982
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Freebase: a collaboratively created graph database for structuring human knowledge. In SIGMOD Conference
Kurt D. Bollacker, Colin Evans, Praveen K. Paritosh, Tim Sturge, and Jamie Taylor. 2008 · 2008
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Random Search for Hyper-Parameter Optimization
J. Bergstra and Y. Bengio. 2012 · 2012
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BPR: Bayesian Personalized Ranking from Implicit Feedback
Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2012 · 2012
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Practical Bayesian Optimization of Machine Learning Algorithms
J. Snoek, H. Larochelle, and R. P. Adams. 2012 · 2012
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013 · 2013
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Optimizing top-n collaborative filtering via dynamic negative item sampling. In Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Weinan Zhang, Tianqi Chen, Jun Wang, and Yong Yu. 2013 · 2013
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Predict click-through rates on display ads
Kaggle Display Advertising Challenge. 2014 · 2014
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The Amazon Dataset
Julian McAuley. 2014 · 2014
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Predict whether a mobile ad will be clicked
Kaggle Click-Through Rate Prediction. 2014 · 2014
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The movielens datasets: History and context. Acm transactions on interactive intelligent systems (tiis) 5 4 (2015) 1–19. F Maxwell Harper and Joseph A Konstan. 2015. The movielens datasets: History and context. Acm transactions on interactive intelligent systems (tiis) 5 4 (2015) 1–19
F Maxwell Harper. 2015 · 2015
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On sampling strategies for neural network-based collaborative filtering. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Ting Chen, Yizhou Sun, Yue Shi, and Liangjie Hong. 2017 · 2017
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Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory Diamos, Erich Elsen, David Garcia, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, et al · 2017
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Learning heterogeneous knowledge base embeddings for explainable recommendation
Qingyao Ai, Vahid Azizi, Xu Chen, and Yongfeng Zhang. 2018 · 2018
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Word2vec applied to recommendation: Hyperparameters matter. In Proceedings of the 12th ACM Conference on Recommender Systems
Hugo Caselles-Dupré, Florian Lesaint, and Jimena Royo-Letelier. 2018 · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Ray: A distributed framework for emerging { \{ AI } \} applications. In 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18)
KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation. In SIGIR
Pengfei Wang, Yu Fan, Long Xia, Wayne Xin Zhao, Shaozhang Niu, and Jimmy X. Huang. 2020 · 2020
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Contrastive Learning for Sequential Recommendation
X. Xie, F. Sun, Z. Liu, S. Wu, J. Gao, B. Ding, and B. Cui. 2020 · 2020
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Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms. In CIKM
Wayne Xin Zhao, Junhua Chen, Pengfei Wang, Qi Gu, and Ji-Rong Wen. 2020 · 2020
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Methodological issues in recommender systems research. In IJCAI
P Cremonesi, D Jannach, et al · 2021
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An embedding learning framework for numerical features in ctr prediction. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
Huifeng Guo, Bo Chen, Ruiming Tang, Weinan Zhang, Zhenguo Li, and Xiuqiang He. 2021 · 2021
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Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, Melih Elibol, Zongheng Yang, William Paul, Michael I Jordan, et al · 2018
Cited alongside, same era.
The Yelp Dataset
Yelp Team. 2018 · 2018
Cited alongside, same era.
Are we really making much progress? A worrying analysis of recent neural recommendation approaches. In Proceedings of the 13th ACM conference on recommender systems
Maurizio Ferrari Dacrema, Paolo Cremonesi, and Dietmar Jannach. 2019 · 2019
Cited alongside, same era.
PyTorch: An Imperative Style, High-Performance Deep Learning Library. In NeurIPS
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Z. Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala. 2019 · 2019
Cited alongside, same era.
BERT4Rec: Sequential recommendation with bidirectional encoder representations from transformer. In Proceedings of the 28th ACM international conference on information and knowledge management
Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, and Peng Jiang. 2019 · 2019
Cited alongside, same era.
Kgat: Knowledge graph attention network for recommendation. In Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining
Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, and Tat-Seng Chua. 2019 · 2019
Cited alongside, same era.
Kb4rec: A data set for linking knowledge bases with recommender systems
Wayne Xin Zhao, Gaole He, Kunlin Yang, Hongjian Dou, Jin Huang, Siqi Ouyang, and Ji-Rong Wen. 2019 · 2019
Cited alongside, same era.
Lightgcn: Simplifying and powering graph convolution network for recommendation. In SIGIR
Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zhang, and Meng Wang. 2020 · 2020
Cited alongside, same era.
SimpleX: A Simple and Strong Baseline for Collaborative Filtering. In Proceedings of the 30th ACM International Conference on Information & Knowledge Management
Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, and Xiuqiang He. 2021 · 2021
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Learning intents behind interactions with knowledge graph for recommendation. In Proceedings of the Web Conference 2021
Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, and Tat-Seng Chua. 2021 · 2021
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RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. In CIKM
Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Yushuo Chen, Xingyu Pan, Kaiyuan Li, Yujie Lu, Hui Wang, Changxin Tian, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, and Ji-Rong Wen. 2021 · 2021
Later among the works it cites.
TorchRec: A Pytorch domain library for recommendation systems
PyTorch. 2022 · 2022
Closest in time.
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation
Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, and Jie Zhang. 2022 · 2022
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EasyRec: A tensorflow framework for large scale recommendation algorithms
EasyRec Team. 2022 · 2022
Closest in time.
RecBole 2.0: Towards a More Up-to-Date Recommendation Library
Wayne Xin Zhao, Yupeng Hou, Xingyu Pan, Chen Yang, Zeyu Zhang, Zihan Lin, Jingsen Zhang, Shuqing Bian, Jiakai Tang, Wenqi Sun, et al · 2022
Closest in time.