Open AccessApplication and Optimization of Algorithm Recommendation in Mobile Audio APP
Author(s) -
Zhang Jieyi,
Dehua Kong
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1848/1/012025
Subject(s) - computer science , recommender system , variety (cybernetics) , feature (linguistics) , multimedia , transmission (telecommunications) , product (mathematics) , algorithm , real time computing , world wide web , artificial intelligence , telecommunications , geometry , mathematics , philosophy , linguistics
A major feature of mobile audio applications compared with traditional radio stations is that they can enhance the direct connection between users and programs through capturing and analyzing all kinds of data, and make personalized recommendation and accurate transmission to users. Algorithmic recommendation system has different classification, different mobile audio applications based on user positioning and product characteristics, flexible use of a variety of algorithm recommendation methods in the platform. At the same time, the negative effects of algorithm recommendation can not be ignored.