From Global to Local: A Context-Embedded LSTM Recurrent Network for Local Content Popularity Prediction. Ye, J., Wang, Z., & Zhu, W. In Aiello, M., Yang, Y., Zou, Y., & Zhang, L., editors, AIMS, volume 10970, of Lecture Notes in Computer Science, pages 29-42, 2018. Springer. Link Paper bibtex @inproceedings{conf/aims2/YeW018,
added-at = {2018-06-24T00:00:00.000+0200},
author = {Ye, Jiahui and Wang, Zhi and Zhu, Wenwu},
biburl = {https://www.bibsonomy.org/bibtex/21822cf772a1f2194af9c1d2319883951/dblp},
booktitle = {AIMS},
crossref = {conf/aims2/2018},
editor = {Aiello, Marco and Yang, Yujiu and Zou, Yuexian and Zhang, Liang-Jie},
ee = {https://doi.org/10.1007/978-3-319-94361-9_3},
interhash = {ccec2e7cc24f3867aa6985e0c3d6f3e1},
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isbn = {978-3-319-94361-9},
keywords = {dblp},
pages = {29-42},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2019-05-15T12:06:03.000+0200},
title = {From Global to Local: A Context-Embedded LSTM Recurrent Network for Local Content Popularity Prediction.},
url = {http://dblp.uni-trier.de/db/conf/aims2/aims2018.html#YeW018},
volume = 10970,
year = 2018
}
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