Seminar on Internet Technologies (Summer 2020): Difference between revisions

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| [https://repository.kaust.edu.sa/bitstream/handle/10754/628781/p1764-liang.pdf?sequence=1&isAllowed=y]
| [https://repository.kaust.edu.sa/bitstream/handle/10754/628781/p1764-liang.pdf?sequence=1&isAllowed=y]
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| User Profiling based on Deep Learning
| Empirical study for QUIC Protocol
| User profiling is to infer the user's profile (e.g., age) from user-generated data, e.g., users' posts，reviews. It can provide basic data for many personalized services in e-commerce, social networks, etc. Deep learning has become the mainstream techniques in User Profiling. We need to search,read and summarize papers on google scholar from 2015 to 2020, which are discussing user profiling based on Deep Learning.
| Quick UDP Internet Connections (QUIC) is a new transport protocol developed by Google in 2012. QUIC is considered as a combination of TCP, TLS and HTTP on the top of UDP with some advantages such as reducing connection establishment time, improving congestion control, multiplexing without heads of line blocking and connection migration.
| Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers
| Programming skills. Interested in this topic, willing to follow the advisor's guidance, patience and time for reading multiple papers
| [Shichang Ding,sding@gwdg.de]
| [yali.yuan@cs.informatik.uni-goettingen.de]
| [https://repository.kaust.edu.sa/bitstream/handle/10754/628781/p1764-liang.pdf?sequence=1&isAllowed=y]
| [https://ieeexplore.ieee.org/abstract/document/8638062]
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