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According to the influence of the display scoring mechanism adopted by the traditional system, which is influenced by the external interference and the precision of the recommended results is low, a dual recommendation system based on collaborative filtering algorithm is proposed. Under the recommendation framework of heterogeneous ubiquitous environment, the overall structure of the system is designed. The hardware part is composed of four components, using W900710 model chip as the core of the player, and combining the implicit score extractor with the recommendation engine, the noise interference can be avoided. The software part design scene simulation attenuation phenomenon, use collaborative filtering algorithm to describe the attenuation process, according to the description results, set up a double recommendation mechanism to achieve the anti human impact of the music dual recommendation system. The experimental results show that the maximum precision of the proposed system can reach 90%, and it has good scalability for large-scale music data recommendation.