Song list recommendation method and device and storage medium

A recommendation method and recommendation device technology, applied in neural learning methods, special data processing applications, instruments, etc., can solve the problems of inaccurate recommendation results and do not consider user playback characteristics, and achieve the effect of improving accuracy

Inactive Publication Date: 2018-12-11
TENCENT MUSIC ENTERTAINMENT TECH SHENZHEN CO LTD
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  • Description
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AI Technical Summary

Problems solved by technology

[0003] In song list recommendation, the current recall module often forms an inverted index through the dominant elements of the song list, such as songs, labels, singers, languages, etc., and then recalls the playlists through explicit elements such as songs, labels, singers, and languages. It does not consider the user's playback characteristics in timing in the recent period, making the recommendation results inaccurate

Method used

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  • Song list recommendation method and device and storage medium
  • Song list recommendation method and device and storage medium
  • Song list recommendation method and device and storage medium

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Embodiment Construction

[0032] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present invention.

[0033] The terms "first" and "second" in the present invention are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or modules is not limited to the listed steps or modules, but optionally also includes steps or modules that are not list...

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Abstract

The invention discloses a song list recommendation method and device and a storage medium. The method comprises the following steps: obtaining a user playback sequence in a historical period; inputting the user playback sequence into a trained circulating neural network model for prediction processing to obtain an output recommended song list; and pushing the recommended song list to a user. The embodiment of the invention predicts a song list to be played by a user at a next time according to a user playing sequence in a historical period and a trained circulating neural network model, and outputs the recommended list of songs. The scheme combines the long-term and short-term characteristics of the user playback sequence, improves the accuracy of the prediction results, and makes the recommended list closer to the current needs and interests of the user preferences.

Description

technical field [0001] The embodiments of the present invention relate to the field of audio processing, and in particular to a song list recommendation method, device and storage medium. Background technique [0002] The recommendation system generally includes a recall module and a sorting module, wherein the recall module is used to recall thousands of potential data from the entire data set, and the sorting module is used to sort the recalled thousands of potential data, and finally select the ranking The target audience in the preset number of digits is pushed to the user. [0003] In song list recommendation, the current recall module often forms an inverted index through the dominant elements of the song list, such as songs, labels, singers, languages, etc., and then recalls the playlists through explicit elements such as songs, labels, singers, and languages. It does not take into account the user's playback characteristics in timing in the recent period, making the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06N3/08
CPCG06N3/08
Inventor 张龙
Owner TENCENT MUSIC ENTERTAINMENT TECH SHENZHEN CO LTD
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