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

Commodity recommending method of e-commerce website based on keywords

A technology for e-commerce website and product recommendation, applied in the field of personalized recommendation

Inactive Publication Date: 2012-08-08
NANJING UNIV +1
View PDF3 Cites 37 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, traditional personalized recommendation methods are difficult to directly apply to this problem.

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
  • Commodity recommending method of e-commerce website based on keywords
  • Commodity recommending method of e-commerce website based on keywords
  • Commodity recommending method of e-commerce website based on keywords

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The present invention solves the problem that the new user does not have any data by collecting keywords from the search engine of the new user, and combines the index relationship between the keyword and the product set obtained from the historical data training, and calculates the product weight according to information such as the frequency of product appearance , recommend N products with the highest weight. The user searches for products in the search engine, enters the e-commerce website through the search link, and the e-commerce website collects the keywords and related product information brought in by the search engine link through the script. Words and related product information are saved as historical data as logs on the server; according to historical data, the association set between keywords and keywords is calculated to obtain a keyword association table, and the index is obtained from the index relationship between keywords and related products The dat...

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

Disclosed is a commodity recommending method of an e-commerce website based on keywords. The method includes entering the e-commerce website through search links when a user searches commodities through a search engine, collecting the keywords and related commodity information carried by the search engine by the e-commerce website through scripts, obtaining an association list of the keywords according to association degree among the keywords, and obtaining an index database through an index relationship between the keywords and related commodities; when a new user visits the e-commerce website through the search engine, analyzing the user referrer to obtain the keywords, obtaining corresponding commodity list through the search of the association list of the keywords and the index database, and recommending N pieces of commodities with the highest weight. The commodity recommending method of the e-commerce website based on the keywords solves the problem of the lack of data of new users through collecting the keywords carried by the search engine of new users, combines the index relationship between the key words and commodities obtained from historical data training, calculates commodity weight according to information such as commodity frequency, and recommends commodities to new users without any behavior records.

Description

technical field [0001] The invention belongs to the field of personalized recommendation, recommends new users of electronic websites based on keywords input by users in search engines, and is a method for recommending commodities on electronic commerce websites based on keywords. Background technique [0002] Personalized recommendation is to recommend information and products that the user is interested in based on the user's interest characteristics and purchase behavior. With the continuous expansion of the scale of e-commerce, the number and types of commodities increase rapidly, and users need to spend a lot of time to find the commodities they need. This process of browsing a large amount of irrelevant information and products will undoubtedly cause consumers who are submerged in the problem of information overload to continue to lose. In order to solve these problems, personalized recommendation system came into being. The personalized recommendation system is an a...

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): G06F17/30G06Q30/02
Inventor 陈振宇姚佳玮杨睿姚嘉俊周国兵
Owner NANJING 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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com