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Picture recommending method, apparatus and system

A recommendation method and picture technology, applied in the field of communication, can solve the problems of affecting the picture recommendation effect, statistics are easy to fail, and the matching rate is low, so as to achieve the effect of improving the effect, avoiding the low matching rate, and improving the matching rate

Active Publication Date: 2015-11-11
TENCENT TECH (SHENZHEN) CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] During the research and practice of the prior art, the inventors of the present invention found that when using the cosine method to calculate the correlation between pictures, the labels of different pictures need to be in the same label space. If the two labels are different in text, Even if the semantics are the same, the matching will fail, and the existing tags are generally too finely divided. Therefore, when calculating the cosine method, the matching rate is generally low, and the statistics are prone to failure, which greatly affects the effect of image recommendation.

Method used

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  • Picture recommending method, apparatus and system
  • Picture recommending method, apparatus and system
  • Picture recommending method, apparatus and system

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0032] This embodiment will be described from the perspective of an apparatus for recommending pictures, and the apparatus for recommending pictures may specifically be integrated in a server or other device.

[0033] A method for recommending pictures, comprising: acquiring picture information of a current picture; acquiring a corresponding aggregated label set according to the picture information; selecting a picture according to the aggregated label set to generate a candidate pool for recommended pictures; calculating the current picture and the candidate pool The similarity of each picture in the image; the picture whose similarity exceeds the preset condition is used as the recommended picture, and the recommended picture is recommended.

[0034] Such as Figure 1b As shown, the specific process of the image recommendation method can be as follows:

[0035] 101. Obtain picture information of the current picture.

[0036] For example, if the user browses, searches for o...

Embodiment 2

[0063] According to the method described in Embodiment 1, an example will be given below for further detailed description.

[0064] In this embodiment, an example will be described in which the device for recommending pictures is integrated in the server as an example.

[0065] Such as figure 2 As shown, a picture recommendation method, the specific process can be as follows:

[0066] 201. The server acquires the original tags of each picture.

[0067] For example, specifically, the picture information of each picture may be collected, the text description of the picture is obtained from the picture information, and the text description is segmented to determine the original tag.

[0068] For example, semantic identifiers such as "basketball, NBA" can be abstracted from the text "James assisted and made all shots in this game".

[0069] 202. Based on the semantic model, the server acquires original tags with the same, similar or related semantics, and obtains similar tags....

Embodiment 3

[0094] In order to better implement the above method, an embodiment of the present invention also provides a device for recommending pictures, such as Figure 3aAs shown, the device for recommending pictures may include an information acquisition unit 301, a collection acquisition unit 302, a selection unit 303, a calculation unit 304, and a recommendation unit 305, as follows:

[0095] The information acquiring unit 301 is configured to acquire picture information of a current picture.

[0096] Wherein, the picture information may include the name and text description of the picture, and may also include information such as the size, format and / or source address of the picture.

[0097] The set obtaining unit 302 is configured to obtain a corresponding aggregated label set according to the picture information.

[0098] A selection unit 303, configured to select a picture according to the aggregated label set to generate a candidate pool of recommended pictures;

[0099] The...

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Abstract

The embodiment of the present invention discloses a picture recommending method, apparatus and system. According to the embodiment of the present invention, tags with same, close or related semanteme are clustered to obtain clustered tags; then when picture recommendation needs to be carried out, picture information of a current picture is acquired; according to the picture information, a corresponding clustered tag set is acquired and according to the clustered tag set, a picture is selected to generate a candidate pool; and then a similarity between the current picture and each picture in the candidate pool is calculated and on the basis of the similarity, picture recommendation is carried out. According to the scheme, a matching ratio can be greatly improved, a statistical effect is strengthened, and a picture recommending effect is improved integrally.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a picture recommendation method, device and system. Background technique [0002] Picture recommendation, also known as picture-related recommendation, refers to recommending relevant content to the user based on the content currently viewed by the user. For example, if the picture currently viewed by the user is St. Suggest pictures of churches or other buildings, etc. Picture recommendation is not only conducive to the promotion of picture information, but also can provide users with more potential resources that may be of interest, which is convenient for users to further search or obtain. Therefore, in the existing information promotion and other fields, how to optimize picture The recommendation is of great significance for improving the overall performance of the information promotion scheme. [0003] Traditional picture recommendation methods generally nee...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/35G06F16/5866
Inventor 尹程果
Owner TENCENT TECH (SHENZHEN) CO LTD
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