A Song Recommendation Method Based on Hybrid Recommendation Algorithm

Abstract

The present invention claims a song recommendation method based on a hybrid recommendation algorithm, which includes the following steps: the user requests to play a song, obtains the user's song play log, obtains the user-song scoring matrix, and determines it from the preset user attribute item set Go out with the target attribute item of described play song request, and utilize the user-song score matrix of establishment, carry out the preliminary recommendation of song; According to song play log, calculate the user preference degree of each song in the song play log; Determine recommendation list, and recommend the recommended list to the user; if half of the results are the same as the initial recommendation of the song, then click here to recommend, if not, select the song with the second highest score as the target song, and repeat the above steps to fill until it exceeds If half of them are the same, the song list will be recommended to the user. The hybrid recommendation method of the present invention can improve the accuracy of song recommendation.

Description

technical field [0001] The invention belongs to the technical field of recommendation, in particular to a song recommendation method based on a hybrid recommendation algorithm. Background technique [0002] The traditional method of recommending songs is to obtain the type, album, and singer of the song that the user listens to, and recommend the corresponding song type, album, or singer to the user. However, most current music recommendation methods are based on collaborative filtering. The method has the following disadvantages: the music recommendation method implemented by the collaborative filtering algorithm cannot reflect the user's preference changes in time, and the update of the song correlation is slow, and the song correlation is easily affected by the noise data. Contents of the invention [0003] The present invention aims to solve the above problems of the prior art. A song recommendation method based on hybrid recommendation algorithm is proposed to improv...

AI Technical Summary

Problems solved by technology

[0002] The traditional method of recommending songs is to obtain the type, album, and singer of the song that the user listens to, and recommend the corresponding song type, album, or singer to the user. However, most current music recommendation methods are based on collaborative filtering. The method has the following disadvantages. The music recommendation method implemented by the collaborative filtering algorithm cannot reflect the user's preference changes in a timely manner, and the update of the song correlation is slow, and the song correlation is easily affected by noise data.

Images