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User-based tag algorithm

A technology of user tags and users, applied in the field of personalized interest recommendation

Inactive Publication Date: 2018-06-29
爱品克科技(武汉)股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for the system, it cannot be considered that this is the user's interest preference just because the user marked the label "dish".

Method used

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  • User-based tag algorithm

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Embodiment Construction

[0012] 1. Process the data set, clean up special characters in the label data, such as question marks, double quotation marks and other characters, to maintain the readability of the label data; in order to reduce the sparseness of the data, select relatively more user labels, Users pay more attention or leave more messages, so users with fewer tags are filtered out. The number of messages is less than 20, and the number of threads is less than 20. They are called inactive users, and these inactive users are filtered out. Similar labels for predicted target users are then employed. According to the behavior records of each user by the system, a specified label and user comment data set is generated according to a certain format; the generated data set is processed according to certain requirements, and the data set is divided into M parts according to the required rules. Among them, M-1 copies are used as training sets, and the rest are used as test sets; the recommendation al...

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Abstract

The invention discloses a user-based tag algorithm. The user-based tag algorithm has the advantages that user information of Herpink platforms is acquire, is quantitatively analyzed and comprises certain contents, the numbers of user concerning people, the numbers of fans of users and published messages are used as standards, corresponding tag recommending processes are proposed for user groups with different characteristics according to analysis results, excellent influence can be provided to the users, excellent and favorite concerned objects can be selected for the fans, and accordingly value of the users can be increased.

Description

technical field [0001] The present invention mainly combines user tags and user interests, establishes user interest models and user attribute descriptions, and performs personalized interest recommendation for users, mainly recommending tags of interest to users or recommending users of interest to users. Background technique [0002] In the tags that the user's interest points are similar to or follow the user, calculate the degree of connection between the user and the tag; not all tags that exist in the point can well reflect the user's real interest. For example, in a user interest recommendation system, the user may reflect the label of a certain food V label on the user's evaluation, such as: I like this "dish" very much, it looks very "tasteful", I am a "Food". However, for the system, it cannot be considered that this is the user's interest preference just because the user marked the label "dish". Therefore, it is necessary to calculate the degree of connection be...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 万迅
Owner 爱品克科技(武汉)股份有限公司