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Seminar on Internet Technologies (Summer 2018): Difference between revisions
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Seminar on Internet Technologies (Summer 2018) (view source)
Revision as of 19:36, 11 April 2018
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|{{Hl2}} |'''Topic Advisor''' | |{{Hl2}} |'''Topic Advisor''' | ||
|{{Hl2}} |'''Initial Readings''' | |{{Hl2}} |'''Initial Readings''' | ||
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| '''Reinforcement Mechanism Design''' | |||
Mechanism design is a modeling and algorithmic framework to design and optimize mechanisms in dynamic industrial environments where a designer can make use of the data generated in the process to automatically improve future design. Reinforcement mechanism design is rooted in game theory but incorporates recent AI techniques to get rid of nonrealistic modeling assumptions and to make automated optimization feasible. The framework can be applied on many key application scenarios, such as Baidu and Taobao, two of the largest mobile app companies in China. For the Taobao case, the framework automatically designs mechanisms that allocate buyer impressions for the e-commerce website; for the Baidu case, the frame-work automatically designs dynamic reserve pricing schemes of advertisement auctions of the search engine. Experiments show that the solutions outperform the state-of-the-art alternatives and those currently deployed, under both scenarios. | |||
| Basic knowledge of machine learning, deep learning and big data analysis. Familar with mechanism design. | |||
|Bo Zhao (bo.zhao@gwdg.de) | |||
|[https://pdfs.semanticscholar.org/5ec9/ed5c9936c069fa554603aa773d3ee036b4ac.pdf][https://arxiv.org/abs/1708.07607][http://iiis.tsinghua.edu.cn/~kenshin/rmd_ec.pdf] | |||
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| '''Understanding and implementing web crawler''' | | '''Understanding and implementing web crawler''' | ||