Research on Perception Technology of Multimode Virtual Music Interactive Instrument
To solve the problems of low recommendation accuracy and poor user perception experience of traditional music recom-mendation systems,this research uses collaborative filtering algorithm and case-based reasoning algorithm to build a virtual music recommendation model,and introduces situational information awareness technology to optimize the model to improve its recommenda-tion effect.Finally,a complete multimodal virtual music recommendation system was designed in conjunction with situational aware-ness and user interaction modules.The performance of the algorithm and the application effect of the recommendation system were tested,and the optimal recall rate,accuracy value,and F1 value of the designed algorithm were 0.981,0.978,and 0.985,respec-tively.The entire recommendation system achieved user satisfaction of 0.92 and expert satisfaction of 0.83.In summary,the virtual music recommendation system designed by this research institute has good recommendation performance and can be used in practical applications.
virtual musiccase based reasoningperceptioninteraction designcontextcollaborative filtering