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Calculation method of user portrait knowledge similarity

A similarity calculation and knowledge technology, applied in the field of intelligent analysis, can solve problems such as spending a lot of time

Active Publication Date: 2021-01-08
南京国睿信维软件有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When users query knowledge, they need to spend a lot of time and energy traversing the search results, or salvaging in the vast knowledge base.

Method used

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  • Calculation method of user portrait knowledge similarity
  • Calculation method of user portrait knowledge similarity
  • Calculation method of user portrait knowledge similarity

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Experimental program
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Embodiment Construction

[0029] Such as figure 1 As shown, the user portrait knowledge similarity calculation method of the present invention includes the following steps:

[0030] Step 1: Count the standard behaviors and basic attributes that affect user portraits. Standard behaviors include viewing, liking, sharing, collecting, downloading, commenting, and asking questions. The basic attributes include departments, positions, roles, and majors; the present invention selects users There are 5 standard behaviors (behavior operations) of downloading, asking questions, collecting, sharing, and commenting, and two basic user attributes of department and position, with a total of 7 parameters.

[0031] Step 2: Assign weights to standard behaviors and basic attributes, and set the weight of each parameter , and recorded as , the present invention has 7 calculation values ​​in total, taking .

[0032] Step 3: Extract standard behavior records and basic attribute tags, record the user behavior log tab...

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Abstract

The invention discloses a method for calculating the similarity degree of user portrait knowledge, which belongs to the field of intelligent analysis technology. First, the number of important behaviors of users and the selection of personal basic attributes, as well as specific behavior operations and attribute content are specified. Secondly, carry out parameter weighting for each user behavior and user attribute, and determine the proportion value of user behavior and user attribute in the calculation of the overall knowledge similarity. Extract the user's behavior records and attributes, count the tags associated with the knowledge that the user's behavior has visited, and assign rights to the tags one by one. Finally, the overall weight value of the user knowledge tags is collected, sorted according to the weight, and the user knowledge portrait is obtained. The present invention calculates knowledge similarity based on user behavior operations and parameter weights of personal basic attributes, draws user portraits through specific user behavior operations, and returns adapted similar knowledge accordingly. The knowledge recommendation accuracy of this method is high, the recommendation ratio can be adjusted dynamically, and the operation is convenient.

Description

technical field [0001] The invention relates to a method for calculating the similarity degree of user portrait knowledge, which belongs to the technical field of intelligent analysis. Background technique [0002] Today is an era of massive data, and users can receive a lot of information on various websites. A large part of this is invalid, repetitive, or spam traffic that users are not interested in. When users query knowledge, they need to spend a lot of time and energy traversing the search results, or salvaging in the vast knowledge base. In order to accurately deliver similar knowledge to users that conforms to user behavior habits and personal characteristics, a method that can dynamically adjust the weight ratio and perform statistics based on the tags of a single piece of knowledge is needed to obtain user knowledge portraits and personal knowledge tags for dynamic knowledge similarity recommendations . Contents of the invention [0003] In order to solve the ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535G06F17/16G06K9/62
CPCG06F16/9535G06F17/16G06F18/22
Inventor 曹保龙彭天颖王磊卢浩然周苏霞
Owner 南京国睿信维软件有限公司
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