Our main goal is to provide you with data because you know what you want to do with it. Still, we give some information regarding typical MIR tasks below. We hope to provide snippets of code and benchmarks results to help you getting started. If you want to provide additional information / link to your code / new results / new tasks, please send us an email! We also try to maintain an informal list of publications that use the dataset.
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If you're having some old desktop or laptop, there are many lightweight Linux distros that you can install and enjoy a lag-free computing experience. These operating systems for 2018 have been optimized by their developers to reduce overall RAM and resource usage. The top-rated distros on our list are Bodhi Linux, Puppy Linux, Linux Lite, Ubuntu MATE, etc.
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Y. Chen, M. Yang, Y. Zhang, M. Zhao, Z. Meng, J. Hao, and I. King. Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, page 94–102. New York, NY, USA, Association for Computing Machinery, (Feb 15, 2022)
H. Chen, Y. Li, S. Shi, S. Liu, H. Zhu, and Y. Zhang. Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, page 75–84. New York, NY, USA, Association for Computing Machinery, (Feb 15, 2022)
X. Zhang, X. Xin, D. Li, W. Liu, P. Ren, Z. Chen, J. Ma, and Z. Ren. Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, page 231–239. New York, NY, USA, Association for Computing Machinery, (Feb 27, 2023)
Y. Yang, C. Huang, L. Xia, and C. Li. Proceedings of the 45th international ACM SIGIR conference on research and development in information retrieval, page 1434--1443. (2022)