EdgeDIPN: a Unified Deep Intent Prediction Network Deployed at the Edge
Summary: EdgeDIPN performs real-time, multi-granularity intent prediction on edge devices via multitask learning and task-specific, multi-level, and inter-view attention over heterogeneous behavior. Deployed at Alibaba, it serves hundreds of millions of users. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Long Guo (Alibaba)
- 2. Lifeng Hua (Alibaba)
- 3. Rongfei Jia (Alibaba)
- 4. Fei Fang (Alibaba)
- 5. Binqiang Zhao (Alibaba)
- 6. Bin Cui (Peking University)
BibTeX Citation
@article{guo_vldb21,
title = {{EdgeDIPN: a Unified Deep Intent Prediction Network Deployed at the Edge}},
author = {Guo, Long and Hua, Lifeng and Jia, Rongfei and Fang, Fei and Zhao, Binqiang and Cui, Bin},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {3},
pages = {320--328},
doi = {10.14778/3430915.3430922},
url = {https://doi.org/10.14778/3430915.3430922},
year = {2021}
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