Contrastive Learning for Reading Behavior Embedding in E-book System

Author:

Minematsu Tsubasa,Taniguchi Yuta,Shimada Atsushi

Publisher

Springer Nature Switzerland

Reference18 articles.

1. Chen, T., Kornblith, S., Norouzi, M., Hinton, G.: A simple framework for contrastive learning of visual representations. In: Proceedings of the 37th International Conference on Machine Learning. Proceedings of Machine Learning Research, vol. 119, pp. 1597–1607 (2020)

2. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);Y Choi,2020

3. Csurka, G., Dance, C., Fan, L., Willamowski, J., Bray, C.: Visual categorization with bags of keypoints. In: Workshop on Statistical Learning in Computer Vision, ECCV, pp. 59–74. Prague (2004)

4. Ding, M., Yang, K., Yeung, D.Y., Pong, T.C.: Effective feature learning with unsupervised learning for improving the predictive models in massive open online courses. In: Proceedings of the 9th International Conference on Learning Analytics & Knowledge, pp. 135–144 (2019)

5. Gao, T., Yao, X., Chen, D.: Simcse: simple contrastive learning of sentence embeddings. In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pp. 6894–6910 (2021)

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