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Multi-media resource recommendation method and device

A multimedia resource and recommendation method technology, applied in the field of multimedia resource recommendation methods and devices, can solve the problem of spending more multimedia resources, and achieve the effects of improving recommendation efficiency, improving user experience, and reducing time consumption

Inactive Publication Date: 2018-11-02
ALIBABA (CHINA) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the present disclosure proposes a method and device for recommending multimedia resources to solve the problem in the related art that it takes a lot of time for users to find the category of multimedia resources they are interested in

Method used

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  • Multi-media resource recommendation method and device
  • Multi-media resource recommendation method and device
  • Multi-media resource recommendation method and device

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0064] figure 1 A flowchart showing a method for recommending multimedia resources according to an embodiment of the present disclosure. This method can be applied to a server, and is not limited here. Such as figure 1 As shown, the method includes step S11 to step S14.

[0065] In step S11, each multimedia resource associated with the target user is determined.

[0066] As an example of this embodiment, each multimedia resource associated with the target user may be determined when a request from the target user for acquiring a category list of multimedia resources is received.

[0067] In a possible implementation manner, determining each multimedia resource associated with the target user may include: determining at least one of the following as a multimedia resource associated with the target user: the multimedia resource clicked by the target user, the Multimedia resources, multimedia resources watched by target users, multimedia resources liked by target users, multi...

Embodiment 2

[0108] Figure 4 A block diagram showing an apparatus for recommending multimedia resources according to an embodiment of the present disclosure. Such as Figure 4 As shown, the device includes: a first determination module 41, configured to determine each multimedia resource associated with the target user; a second determination module 42, configured to determine the category corresponding to each multimedia resource associated with the target user; A sorting module 43, configured to sort each category according to the number of multimedia resources belonging to each category among the multimedia resources associated with the target user, and the interest degree of the target user to each multimedia resource in each category; The recommendation module 44 is configured to recommend each sorted category to the target user.

[0109] Figure 5 An exemplary block diagram of an apparatus for recommending multimedia resources according to an embodiment of the present disclosure ...

Embodiment 3

[0123] Figure 6 It is a block diagram of an apparatus 1900 for recommending multimedia resources according to an exemplary embodiment. For example, apparatus 1900 may be provided as a server. refer to Figure 6 , apparatus 1900 includes processing component 1922 , which further includes one or more processors, and a memory resource, represented by memory 1932 , for storing instructions executable by processing component 1922 , such as application programs. The application programs stored in memory 1932 may include one or more modules each corresponding to a set of instructions. In addition, the processing component 1922 is configured to execute instructions to perform the above method.

[0124] Device 1900 may also include a power component 1926 configured to perform power management of device 1900 , a wired or wireless network interface 1950 configured to connect device 1900 to a network, and an input-output (I / O) interface 1958 . The apparatus 1900 can operate based on ...

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PUM

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Abstract

The invention relates to a multi-media resource recommendation method and device. The method comprises the following steps: determining each multimedia resource associated with each target user; determining classes corresponding to various multimedia resources associated with the target user; and sorting various classes according to the amount of the multimedia resources belonging to various classes in the multimedia resource associated with the target user, and the interestingness on various multimedia resources in various classes by the target user; and recommending various sorted classes tothe target user. Through the recommendation method disclosed by the invention, the time consumed for finding the class of the multimedia resource needing to be watched by the user can be reduced, thereby reducing the time consumed for finding the multimedia resource needing to be watched by the user, the recommendation efficiency of the multimedia resource is improved, and the user experience isimproved.

Description

technical field [0001] The present disclosure relates to the field of multimedia technologies, in particular to a method and device for recommending multimedia resources. Background technique [0002] In the Internet era, especially the mobile Internet era, how to provide users with timely and valuable information is a hot research topic for many Internet companies. In recent years, with the development of machine learning systems, recommender systems have begun to support personalized recommendation strategies. The personalized recommendation strategy needs to be differentiated according to the actual usage of different users. [0003] The operator of the video website or video application classifies the videos on the video website or video application, so as to guide the user to select the category of interest. For example, the homepage of a video site might contain categories such as Featured, Episodes, Variety, and Movies. By displaying video categories for the user, ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/00
Inventor 刘荣赵磊单明辉王建宇潘柏宇项青
Owner ALIBABA (CHINA) CO LTD