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A content recommendation method and recommendation system based on user group behavior feedback

A content recommendation and user group technology, applied in marketing, data processing applications, sales/lease transactions, etc., can solve problems such as the inability to generate recommendations for new users and the inability to mine potential interests of users

Active Publication Date: 2021-09-14
NAT UNIV OF DEFENSE TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it is undeniable that there are some technical problems in purely content-based recommendations: first, the potential interest of users cannot be tapped; second, it is impossible to generate recommendations for new users

Method used

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  • A content recommendation method and recommendation system based on user group behavior feedback
  • A content recommendation method and recommendation system based on user group behavior feedback
  • A content recommendation method and recommendation system based on user group behavior feedback

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Embodiment Construction

[0023] The present invention will be further described below in conjunction with the accompanying drawings, but the present invention is not limited in any way. Any transformation or replacement based on the teaching of the present invention belongs to the protection scope of the present invention.

[0024] as attached figure 1 As shown, a content recommendation method based on user group behavior feedback of the present invention includes:

[0025] Step S1, collect the identification characteristics of the content and the feedback behavior of the user group on the content;

[0026] Step S2, initializing the identification feature matrix of the content and the user group behavior feedback matrix;

[0027] Step S3, establishing an objective function and constraint conditions for calculating the similarity of the base content;

[0028] Step S4, using the constraint solving method to calculate the content similarity matrix;

[0029] Step S5, using the user group behavior feedb...

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Abstract

The invention discloses a content recommendation method based on user group behavior feedback, which includes collecting identification features of content and user group feedback behavior on content; establishing an objective function and constraint conditions based on content similarity calculation; using a constraint solving method to calculate Generate a content similarity matrix; calculate a predictive scoring matrix; recommend content with top ratings to users according to the predictive scoring matrix. The present invention introduces the idea of ​​collaborative filtering into the content-based filter recommendation framework, which can overcome the shortcomings of purely content-based recommendation, so that when the user group behavior feedback data or content identification feature data are relatively missing, the accuracy of recommendation is still high. The complexity is kept low.

Description

technical field [0001] The invention belongs to the technical field of Internet intelligent recommendation, and in particular relates to a content recommendation method and a recommendation system based on user group behavior feedback. Background technique [0002] Content-based recommendation is one of the earliest and most widely used intelligent recommendation methods. It recommends products similar to the products the user liked in the past based on the products the user liked in the past. For example, a system that recommends restaurants can recommend other similar kebab restaurants to a user based on the number of kebab restaurants he has liked before. The process of the content-based recommendation method generally includes three steps: first, extract features for each product to represent the product; second, use the feature data of the products that the user liked or disliked in the past to learn the user's preferences , and thirdly, by comparing the user preferenc...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/06G06Q30/02
CPCG06Q30/0255G06Q30/0263G06Q30/0631
Inventor 赵翔许嘉陈一帆曾维新唐九阳肖卫东
Owner NAT UNIV OF DEFENSE TECH