A repertoire recommendation method and apparatus

A recommendation method and track technology, applied in the computer field, can solve the problems that the tracks recommended by users do not match, the changing preferences and interests of users cannot be obtained, and the requirements for user preferences are high.

Active Publication Date: 2019-02-01
MOBVOI INFORMATION TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But the recommendation algorithm cannot capture changes in user interests or contextual preferences and interests
Therefore, in the existing method, there is a high probability that the songs recommended for the user do not meet the user's preferences.

Method used

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  • A repertoire recommendation method and apparatus
  • A repertoire recommendation method and apparatus
  • A repertoire recommendation method and apparatus

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Embodiment Construction

[0052] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0053] Such as figure 1 As shown, the embodiment of the present invention provides a track recommendation method, and the track recommendation method includes:

[0054] Step 101: Establish a convolutional neural network model based on the label information of the track to obtain label features;

[0055] Step 102: establishing a temporal neural network model based on the user behavior information of the track to obtain the user beh...

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Abstract

The embodiment of the invention provides a track recommendation method and a track recommendation device. The track recommendation method comprises the following steps: establishing a convolution neural network model based on the track label information to obtain the label characteristics; Establishing a temporal neural network model based on the user behavior information of the track, and obtaining the temporal characteristics of the user behavior; Establishing a depth neural network model based on the tag feature and the user behavior time sequence feature to obtain the target feature; Wherein the target feature is used to determine a track to be recommended. Therefore, the scheme provided by the embodiment of the invention can recommend tracks that are more in line with the requirementsof the user.

Description

technical field [0001] The embodiments of the present invention relate to the field of computer technology, and in particular, to a track recommendation method and device. Background technique [0002] Personalized track recommendation technology, which can recommend tracks that the user likes and is interested in to the user based on the user's preferences, interests and other information. [0003] At present, when recommending personalized tracks for users, the recommendation algorithm used is usually a collaborative filtering algorithm, which generally predicts user ratings or recommends tracks based on user ratings or behaviors. But this recommendation algorithm cannot capture changes in user interests or context-related likes and interests. Therefore, in the existing method, the probability that the songs recommended for the user do not meet the requirements of the user's preferences is relatively high. Contents of the invention [0004] In view of this, an embodime...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/68G06N3/04
CPCG06N3/045
Inventor 汪剑
Owner MOBVOI INFORMATION TECH CO LTD
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