Method for pushing recommendation based on user historic behavior interaction analysis

A technology of recommendation push and interactive analysis, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem that the data platform cannot provide users with accurate and customized personalized information service needs

Inactive Publication Date: 2017-06-20
益读科技集团有限公司
View PDF7 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention mainly solves the problem that the data platform in the prior art cannot provide users with accurate and customized personalized information service requirements, and provides

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for pushing recommendation based on user historic behavior interaction analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0032] In this embodiment, a recommendation push method based on user historical behavior interaction analysis is characterized in that it includes the following steps:

[0033] S1. Preset the user's behavior and favorite items, and assign weights to the behavior and items; the preset actions include comment, reply, view the details page, search, favorite, cancel favorite, like, cancel like, follow, Unfollow, share, etc. These actions can be added as needed. The items are analyzed from the data corresponding to the actions. Items include entertainment, beauty, cars, digital, technology, social, life, mobile phones, etc. These are also set according to needs.

[0034] S2. Real-time collection of user behavior record information, classified and stored; the specific process of classification includes:

[0035] S21. Detect the user's operation in real time, and judge the action corresponding to the operation according to the preset action;

[0036] S22. Obtain the data of the op...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a method for pushing recommendation based on user historic behavior interaction analysis. The problem that a data platform in the prior art cannot supply an accurate and customized personalized information service to a user can be solved. The method comprises the following steps: presetting behavior and favorite articles of the user and performing weight allocation; collecting the behavior record information of the user in real time, classifying and then storing; establishing a favorite matrix according to the historic behavior with the highest weight of the user and respectively establishing a user factor matrix and an article factor matrix with the user and the data according to the article information contained in the data; performing singular value decomposition, thereby acquiring a similar matrix, comparing the similar matrix with the favorite matrix, selecting the disliked articles with high scores and recommending to the corresponding user. The method provided by the invention has the advantage that the user and the user as well as the data and the data are combined with each other, so as to form a high-precision relation quantitative index. The method provided by the invention is a continuous learning and promoting process.

Description

technical field [0001] The present invention relates to the technical field of network push, in particular to a recommendation push method based on interactive analysis of user historical behavior that combines data with users and continuously learns and improves. Background technique [0002] The data provided by various existing data platforms to users can be sorted in ascending or reverse order according to the time of the data or the alphabetical order of nouns, or some data can be queried and fed back to the client based on some filter conditions. However, in these methods, the content input by the user is directly fed back to the relevant content of the user, and it is impossible to provide the user with accurate and customized personalized information service needs. Contents of the invention [0003] The present invention mainly solves the problem that the data platform in the prior art cannot provide users with accurate and customized personalized information servi...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F17/30
Inventor 施高峰
Owner 益读科技集团有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap