Abstract
With the development of mobile Internet, new technologies such as algorithm distribution and personalized recommendation came into being. The media appeared intelligent trend and the era of intelligent media came. This article uses China's most popular algorithm to push news app "Toutiao" as an example. The app's recommendation system is analyzed from the basic principles of algorithm recommendation, text recommendation and personalized tag. For news app, algorithm push is an inevitable trend, and the principle of algorithm recommendation mechanism of Toutiao is studied and beneficial. The platform regulates its own behavior and explores the solution for further development.
Cite
CITATION STYLE
Yuan, Y. (2020). Research on algorithm recommendation mechanism and characteristics of personalized news app - - Taking “toutiao” as an example. In IOP Conference Series: Materials Science and Engineering (Vol. 740). Institute of Physics Publishing. https://doi.org/10.1088/1757-899X/740/1/012166
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