Self-help intelligent uprightness searching method

A vertical search, self-service technology, applied in the field of digital network search, it can solve the problems of heavy server pressure, large number of search results, and the search engine cannot reflect user evaluations, so as to achieve accurate search results and relieve pressure.

Inactive Publication Date: 2008-01-30
HANGZHOU JOINVC HLDG
View PDF0 Cites 46 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] 1. The vast amount of information on the Internet also makes the search engine using keyword search technology return a large number of search results. A lot of information is useless to users, and users have to search through these huge information sets. find the information they need
[0004] 2. The existing search technology cannot actively learn the user's preferences and habits, so that the search results are more in line with the user's "taste", but it is completely up to the user to judge the value of the search result to him
[0005] 3. Today's s

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
  • Self-help intelligent uprightness searching method
  • Self-help intelligent uprightness searching method
  • Self-help intelligent uprightness searching method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The present invention will be further described below in conjunction with accompanying drawing and embodiment:

[0030] In order to set forth the mechanism of the present invention's method and system better, at first the following nouns are explained as follows:

[0031] User: A user who uses the system of the present invention with the purpose of searching for information.

[0032] User intervention: It means that the user corrects the deviation in the system machine learning through some intervention program module, such as the user evaluation system, which can not only improve the accuracy of machine learning, but also make the search results more accurate.

[0033] Vertical search: As the literal meaning explains, vertical search refers to the deepening and refinement of search results, and this deepening refers to being closer to the user's search purpose and preference, so its search basis is the user's statistical model And the whole network database, rather th...

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 present invention relates to a self-service intelligent vertical search method and includes the following steps: cookies files of users, registered information, historical search information and ordered attention module can be utilized to study preferences of users, and the preferences of the users are set as statistical models of the users which are real-timely stored to a database of a search engine dynamically. A final key word/words collection file can be obtained by studying high speed Chinese word segmentation and search habits of users. The search engine can search all the information that is relevant to the inertial key sentence/word through a network database. Meanwhile, the search results are matched with the statistical models of the users and the search results which fit for the preferences of the users can be returned to the users. The present invention has the beneficial effects that the users can find out the needed information from the huge information collection and study using preferences and habits of the users actively, and then the search results can cater to ''tastes'' of the users more and the users make judgment to the values of the search results totally.

Description

technical field [0001] The invention relates to a search field applied to digital networks, in particular to a self-service intelligent vertical search method. Background technique [0002] At present, the wide application of search engine technology enables users to easily and conveniently obtain desired information. However, existing search engines and search technologies also have shortcomings and deficiencies: [0003] 1. The massive amount of information on the Internet also makes the search engine using keyword search technology return a large number of search results. A lot of information is useless to users, and users have to search through these huge information sets. Find the information they need. [0004] 2. The existing search technology cannot actively learn the user's preferences and habits, so that the search results are more in line with the user's "taste", but it is completely up to the user to judge the value of the search results. [0005] 3. Today's s...

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 施侃晟施章祖
Owner HANGZHOU JOINVC HLDG
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