Title | ||
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HAMLET: Hierarchical Attention-based Model with muLti-task sElf-Training for user profiling |
Abstract | ||
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User profiling is playing an increasingly important role in real-world applications. Previous works have shown that integrating user information from multiple social networks helps to significantly improve the performance of user profiling. However, these studies either ignore the different contributions of various features in different profiling tasks or need to train one model for each task. Wha... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/BigData52589.2021.9671313 | 2021 IEEE International Conference on Big Data (Big Data) |
Keywords | DocType | ISBN |
Training,Correlation,Social networking (online),Conferences,Big Data,Multitasking,Task analysis | Conference | 978-1-6654-3902-2 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Fuxin Ren | 1 | 20 | 1.87 |
Zhongbao Zhang | 2 | 404 | 27.60 |
Yang Yan | 3 | 0 | 0.68 |
Zhi Wang | 4 | 7 | 1.10 |
Sen Su | 5 | 666 | 65.68 |
Philip S. Yu | 6 | 30670 | 3474.16 |