Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method and system for initiatively recommending product information service

A product information and active technology, applied in the field of service recommendation, can solve the problems of lack of intelligence and active self-adaptive functions, and achieve the effect of humanizing service and increasing stickiness

Inactive Publication Date: 2013-04-17
CHINA AGRI UNIV
View PDF2 Cites 28 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, in order to overcome the shortcomings of the lack of intelligence and active self-adaptive functions in the services provided by the Internet in the prior art, an active, personalized, and humanized method and system for recommending product information services need to be proposed urgently

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 and system for initiatively recommending product information service
  • Method and system for initiatively recommending product information service

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0032] Flowchart such as figure 1 A method for proactively recommending product information services shown mainly includes steps:

[0033] S1. Extract the attribute characteristics of each user according to the historical data of all users; in this embodiment, this step is specifically:

[0034] First, through implicit and explicit data acquisition methods, the dynamic and static data of each user is collected, and stored in the database of the personal computer to form historical data; historical data includes user registration information, historical input information, browsing behavior information , purchase behavior information and scoring information, etc.; secondly, preprocessing such as data conversion and normalization on historical data to adapt to subsequent analysis; finally, using data mining algorithms to adopt the same standard data information for different users, from preprocessing Analyze and extract the comprehensive attribute characteristics of each user fr...

Embodiment 2

[0044] Structure diagram such as figure 2 A system for proactively recommending product information services shown in , includes a sequentially connected data acquisition module, data processing module, similarity analysis module, and recommendation module; wherein, the main functions of each module are as follows:

[0045] The acquisition module collects the dynamic and static data of each user through implicit and explicit data acquisition methods, and stores them in the database of the personal computer to form historical data; historical data includes user registration information, historical input information, and browsing behavior information , purchase behavior information and rating information, etc.;

[0046] The data processing module first performs preprocessing such as data conversion and normalization on all the user historical data collected by the data acquisition module, and then uses the data mining algorithm to extract the attribute characteristics of each u...

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 the technical field of service recommending, in particular to a method and a system for initiatively recommending a product information service. The method comprises the following steps of S1, extracting attribute characteristics of different users according to historical data of all users; S2, calculating the similarity of the attribute characteristics of any tow users, and establishing a neighbor user set of each user; S3, calculating the interestingness of each user in each product according to the product information and the attribute characteristics of the neighbor user set of the user; and S4, initiatively recommending the product information to the user according to the interestingness of the user in the product. According to the specific characteristics and data record of the neighbor user of the user and the interestingness of the user in each product through the product information, the product information can be initiatively recommended to the user; and due to the adoption of the method and the system, the individualized product information can be initiatively provided according to the potential demand of different users, and the real requirement of the user can be met, so that the service provided by the internet is more individualized, and the adhesion of the user on the internet can be increased.

Description

technical field [0001] The invention relates to the technical field of service recommendation, in particular to a method and system for actively recommending product information services. Background technique [0002] With the continuous development of modern information technology and Internet information technology, building a competitive Internet information service, e-commerce and other network service systems is the long-term development trend in the future. The services about product information in the prior art are mainly based on product information query management, product inventory management, and product distribution management; due to the wide variety of existing products, the number of products is as high as more than 5,000, facing such rich information resources, Before the user decides to purchase related products, according to the actual needs of different users, proactively providing information services about the products they may purchase has become the k...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06F17/30
Inventor 高万林贺媛婧王坤王冠
Owner CHINA AGRI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products