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Method and device for recommendation

A recommendation method and a technology for recommending content, applied in the field of communication, can solve problems such as low accuracy, and achieve the effects of improving accuracy, precise analysis results, and rich ecological historical behavior data

Inactive Publication Date: 2016-09-28
LETV INFORMATION TECH BEIJING
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a recommendation method and device, which are used to solve the defect of low accuracy of music recommended for users in existing music recommendation schemes, and can improve the accuracy of recommended content

Method used

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  • Method and device for recommendation

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Experimental program
Comparison scheme
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Embodiment 1

[0023] refer to figure 1 , which shows a flow chart of the steps of Embodiment 1 of a recommended method of the present invention, which may specifically include:

[0024] Step 101, generating at least one recommended content according to the user's ecological historical behavior data; the user's ecological historical behavior data may specifically include at least one of the following historical behavior data: the user's at least two applications in at least one terminal Historical behavior data, and historical behavior data of users in at least one application on at least two terminals;

[0025] The embodiment of the present invention can be applied to any application program such as music software application program and video software application program of the smart terminal, so as to accurately and recommend music, video and other content according to the user's preferences to the user through the above application program.

[0026] In the embodiment of the present inve...

Embodiment 2

[0040] refer to figure 2 , which shows a flow chart of steps in Embodiment 2 of a recommendation method of the present invention, which may specifically include:

[0041] Step 201. Calculate the portrait features of the user according to the user's ecological history behavior data, and generate the first recommended content according to the portrait features; and / or

[0042]Step 202, calculating similar users of the user according to the ecological historical behavior data of the user, and generating second recommended content according to the recommended content of the similar users; and / or

[0043] Step 203, according to the behavior object in the user's ecological history behavior data, obtain the recommended content associated with the behavior object, and generate the third recommended content according to the associated recommended content;

[0044] Step 204, generating at least one item of recommended content according to at least one of the first recommended content,...

Embodiment 3

[0069] refer to image 3 , which shows a flow chart of steps in Embodiment 3 of a recommendation method of the present invention, which may specifically include:

[0070] Step 301, generating at least one item of recommended content according to the user's ecological historical behavior data; the user's ecological historical behavior data may specifically include at least one of the following historical behavior data: the user is in at least two applications on at least one terminal historical behavior data of the user, and the historical behavior data of the user in at least one application on at least two terminals;

[0071] Step 302, extracting recommended content features of the recommended content;

[0072] Step 303, input the recommended content features of the recommended content, and / or user features, and / or interaction features between users and historical content into Factorization Machines FM (Factorization Machines, Factorization Machines), and the FM The model o...

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Abstract

The embodiment of the invention provides a method and device for recommendation. The method specifically comprises the steps that at least one recommendation content is generated according to ecological historical behavior data of a user, wherein the user's ecological historical behavior data comprises at least one type among historical behavior data types including historical behavior data of the user generated in at least two applications of at least one terminal as well as historical behavior data of the user generated in at least one application of at least two terminals; and the recommendation content is recommended to the user. The method and the device provided by the embodiment of the invention can increase accuracy of the recommendation content.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a recommendation method and device. Background technique [0002] With the development of smart terminals and network technologies, users can play music through various websites and applications. However, various music platforms provide users with tens of thousands of music resources. If users want to find their favorite music, it is like looking for a needle in a haystack. Therefore, it is necessary to be able to recommend music to users according to their music preferences. [0003] An existing music recommendation scheme can learn the user's preferences based on the analysis of the user's historical behavior data such as playing, collecting, and paying attention to music, and then recommend music that meets the user's preferences for the user. [0004] However, the existing music recommendation scheme is based on the accumulation of certain historical behavior...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06N20/00
CPCG06F16/9535G06F16/635G06N20/00G06Q30/0631G06N5/048
Inventor 祁立
Owner LETV INFORMATION TECH BEIJING
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