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

Optimization system and method based on intelligent learning for web page link retrieval and ranking

A technology of retrieval sorting and intelligent learning, applied in the field of optimization system based on intelligent learning, which can solve the problems of irrelevant generalization, fitting and sorting of retrieval topics, and inability to modify website structure.

Inactive Publication Date: 2020-10-30
ZHENGZHOU UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The purpose of this invention is to meet the needs of a large number of sites that need to quickly build a retrieval system without modifying the original website structure. The traditional retrieval topics are irrelevant and cannot be generalized and fitted according to keywords, and cannot be sorted by learning people's choices. To improve the problem, a rapid deployment system and method based on intelligent learning optimization suitable for web page link retrieval and sorting is proposed

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
  • Optimization system and method based on intelligent learning for web page link retrieval and ranking
  • Optimization system and method based on intelligent learning for web page link retrieval and ranking
  • Optimization system and method based on intelligent learning for web page link retrieval and ranking

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0039] refer to Figure 1 to Figure 4 , an intelligent learning-based optimization system for web page link retrieval and sorting is provided in an embodiment of the present invention. The system includes six parts: a crawler module, a database, a Pagerank module, an LDA topic extraction module, a neural network module, and a search decision module. Such as figure 1 As shown, the above six parts are divided into three layers:

[0040] The first layer is the...

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 discloses an optimization system and method used for webpage link retrieval ordering and based on intelligent learning and relates to the technical field of retrieval software. Reverse index technology is applied to extract related data from a grabbed webpage to build a database. Decision-making technology integrating many intelligent algorithms is adopted, so that intelligence and objectiveness are quite high. Compared with existing retrieval systems, the system has quick arrangement ability, an underlying data module automatically and quickly acquires range content informationand calculates and processes offline, and various algorithm technologies are adopted to optimize retrieval result ordering, so that the optimization system has the advantages of high interpretability,simple operation and high stability.

Description

technical field [0001] The invention relates to the technical field of retrieval software, in particular to an intelligent learning-based optimization system and method for web page link retrieval and sorting. Background technique [0002] In the Internet era of information explosion, for individuals, how to quickly and accurately search for the most desired information webpage from the massive amount of information is the key; for each website with a huge number of webpages, how to quickly build an accurate A personalized and personalized retrieval system has become a top priority. With the maturity of deep neural network and text theme technology, it is possible for machines to automatically extract information from information and learn people's preferences so as to learn independently. Traditional search engines can no longer satisfy people's theming and preference personalization of search web pages. demand. Therefore, a retrieval system that can realize rapid deploym...

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 Patents(China)
IPC IPC(8): G06F16/9536G06F16/958G06F16/955G06N3/08
Inventor 陶永才石磊卫琳张青任鹏程丁鑫海朝阳巴阳赵国桦火昊杨朝阳张鑫倩曹朝阳
Owner ZHENGZHOU 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