SEM: APP Usage Prediction with Session-Based Embedding-Reference-Cited by-同舟云学术

SEM: APP Usage Prediction with Session-Based Embedding

Published:2020 Issue: Volume: Page:678-690
ISSN:0302-9743
Container-title:Wireless Algorithms, Systems, and Applications
language:
Short-container-title:

Author:

Yu Zepeng,Li Wenzhong^ORCID,Wang Pinhao,Lu Sanglu

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-59016-1_56

Reference28 articles.

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2. Chen, X., Wang, Y., He, J., Pan, S., Li, Y., Zhang, P.: CAP: context-aware app usage prediction with heterogeneous graph embedding. Proc. ACM Interact. Mobile Wearable Ubiquitous Technol. 3(1), 1–25 (2019)

3. Cho, K., et al.: Learning phrase representations using RNN encoder-decoder for statistical machine translation (2014)

4. Church, K., et al.: Understanding the challenges of mobile phone usage data. ACM (2015)

5. Dong, Y., Chawla, N.V., Swami, A.: metapath2vec: scalable representation learning for heterogeneous networks. In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2017)

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