Time-Aware Preference Recommendation Based on Behavior Sequence
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-2421-5_12
Reference25 articles.
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3. Chen, X., Zhang, Y., Qin, Z.: Dynamic explainable recommendation based on neural attentive models. In: Proceedings of the AAAI Conference on Artificial Intelligence. vol. 33, pp. 53–60 (2019)
4. Dai, S., Yu, Y., Fan, H., Dong, J.: Spatio-temporal representation learning with social tie for personalized poi recommendation. Data Sci. Eng. 7(1), 44–56 (2022)
5. He, R., McAuley, J.: Fusing similarity models with Markov chains for sparse sequential recommendation. In: 2016 IEEE 16th international conference on data mining (ICDM), pp. 191–200. IEEE (2016)
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