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Tag recommendation method and system

A technology of tags and tag sets, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve the problem of low recommendation accuracy of recommendation algorithms

Inactive Publication Date: 2017-11-10
TAIYUAN UNIV OF TECH
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Problems solved by technology

[0004] The purpose of the present invention is to provide a tag recommendation method and system

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  • Tag recommendation method and system
  • Tag recommendation method and system

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Embodiment Construction

[0073] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0074] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0075] figure 1 It is a flowchart of the label recommendation method of the present invention. Such as figure 1 As shown, the method includes:

[0076] Step 101: Obtain the total set of tags marked by the user....

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Abstract

The invention discloses a tag recommendation method and system. The method comprises the following steps: obtaining a total tag set marked by all users on all projects; discovering the maximum frequent item set in the total tag set of the system by using the Apriori algorithm; setting the maximum frequent item set of the system as a new identifier; replacing the maximum frequent item set in the first tag set of the system with the new identifier of the system to form a second tag set; corresponding the users, the projects and the second tag set to generate user-project-tag three-dimensional tensor data, and setting an association weight of the three components as 1; decomposing the three-dimensional tensor data of the system by using the HOSVD algorithm to obtain the weight value of a tag marked by each user for each project; and recommending a tag with a high weight value to the first user, so that the user uses the tag to mark the project, wherein the user is the user who tags the project for the first time. By adoption of the method or system provided by the invention, the tag classification can be more precise, the accuracy of the recommendation system is improved, and the hit rate is gradually increased.

Description

technical field [0001] The invention relates to the field of personalized recommendation, in particular to a tag recommendation method and system. Background technique [0002] Nowadays, the development of Web technology is advancing by leaps and bounds. Users can mark a project with multiple different tags on a variety of network platforms, especially in the application of recommendation systems on various platforms. The system uses tags to explore each user's preferences. feature, when a user tags an item that has not been tagged, it can more effectively recommend suitable tags to the user for the user to tag, helping users quickly find the tags they are satisfied with. Items are objects that users tag, such as movies, videos, articles, and so on. Most of the previous recommendation algorithms were researched on the user-item scoring matrix data based on the binary relationship. With the addition of tag data, the processing of ternary relationship data composed of users, ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/2465G06F16/9535
Inventor 李凤莲张雪英李彦民焦江丽田玉楚王燕黄丽霞
Owner TAIYUAN UNIV OF TECH
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