Legal Supervision Mechanism of Recommendation Algorithm Based on Intelligent Data Recognition
Authors: 
Siqi Zhong, Weier Zhang Academic Editor: Xin NingAuthors Info & Claims
Abstract
While considering the broad development prospects of intelligent investment advisers in the future, we must also be aware of the legal supervision issues that intelligent investment advisers bring with them. Simultaneously, big data, artificial intelligence, blockchain, and other technologies have advanced at a breakneck pace during this time. Many new technologies have been used in the financial sector. In the financial field, there is a trend toward gradual integration of finance and technology. The transformation of finance from concept to actual service has been realized thanks to emerging technologies. This combination of finance and technology is known as “financial technology.” The legal supervision mechanism of a recommendation algorithm based on intelligent data recognition is investigated in this paper. On the one hand, it raises the bar for legal knowledge required by the legal supervision mechanism of recommendation algorithm, but on the other hand, it may reduce service efficiency and quality. As a result, using the understanding method of users’ consulting intention while taking into account users’ legal knowledge level, social attributes, and emotional status, it is a feasible and effective way to provide personalized and diverse legal consulting services to the general public.
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Copyright © 2022 Siqi Zhong and Weier Zhang.
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Published: 01 January 2022
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