Media data recommendation method and device and storage medium

A technology for media data and recommendation methods, applied in the Internet field, can solve the problems of inaccurate correlation, large amount of calculation, and inability to recommend, so as to improve the efficiency of recommendation, improve the effect of recommendation, and improve the accuracy rate.

Active Publication Date: 2019-05-10
TENCENT TECH (BEIJING) CO LTD
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  • Description
  • Claims
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Problems solved by technology

[0004] The above scheme needs to obtain the correlation degree of each media data in multiple media data, and the calculation amount is relatively large
Moreover, the weight of each category

Method used

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  • Media data recommendation method and device and storage medium
  • Media data recommendation method and device and storage medium
  • Media data recommendation method and device and storage medium

Examples

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[0029] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0030] The media data recommendation method provided by the embodiment of the present invention is applied to a recommendation device, and the recommendation device is used to determine target media data recommended by a target user according to a plurality of media data to be recommended.

[0031] The recommended device may include a server, a terminal, or other devices with processing functions. The terminal can be a mobile phone, a tablet computer, a computer, and other types of terminals. The server can be a server, or a server cluster composed of several servers, or a cloud computing service center.

[0032] figure 1 It is a schematic structural diagram of an implementation environment provided by an embodiment of the present invention. See...

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Abstract

The invention discloses a media data recommendation method and device and a storage medium, and belongs to the technical field of Internet. The method comprises the steps of obtaining user characteristics of a target user; obtaining a plurality of alternative media data matched with the interest label characteristics according to the plurality of media data to be recommended; for each piece of alternative media data in the plurality of pieces of alternative media data, combining the user characteristics with the data characteristics of the alternative media data to obtain combined associationcharacteristics, and obtaining the correlation degree of the association characteristics based on a first recommendation model; and determining target media data recommended to the target user according to the correlation degrees corresponding to the plurality of alternative media data. According to the technical scheme, the multiple pieces of alternative media data matched with the interest labelfeatures are screened out, the calculated amount can be reduced, the recommendation efficiency can be improved, the correlation degree can be determined according to the correlation features and thefirst recommendation model, personalized recommendation can be effectively conducted on the target user, the accuracy of the correlation degree is improved, and therefore the recommendation effect isimproved.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a media data recommendation method, device and storage medium. Background technique [0002] With the rapid development and widespread popularization of Internet technology, a variety of media data can be disseminated on the Internet, providing users with a variety of rich information. If the disseminated media data is directly displayed to the user, the amount of data will be too much, and it will be difficult for the user to find the media data they are interested in. Therefore, according to the user's preference for different media data, we can recommend the media data that the user is interested in. media data. [0003] In related technologies, multiple categories of media data and the weight of each category are preset, and the multiple categories have a hierarchical relationship, which means that a category at a previous level includes multiple subcategories at a lowe...

Claims

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Application Information

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IPC IPC(8): G06F16/9535
Inventor 李天浩崔瑞
Owner TENCENT TECH (BEIJING) CO LTD
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