Summary of exploring the best practice to explaining complicated commercial algorithms to real-world users
2018
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Summary of exploring the best practice to explaining complicated commercial algorithms to real-world users
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2018
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This project mainly focuses on exploring how do companies explain complicated algorithms to users to maximize their satisfaction and improve the user experience. We are at the first stage now, which is exploring how do commercial companies explain their algorithms/recommendation strategies to the user.
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Faculty advisor: Haiyi Zhu
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This research was supported by the Undergraduate Research Opportunities Program (UROP).
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Song, Da. (2018). Summary of exploring the best practice to explaining complicated commercial algorithms to real-world users. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/201265.
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