Method for configuring recommend information in webpage and index service

A recommended information and server technology, applied in the field of information processing, can solve the problems of low accuracy of recommended information, inability to further meet the needs, and rough calculation method of correlation, etc., to achieve the effect of improving accuracy

Active Publication Date: 2014-06-25
TENCENT TECH (SHENZHEN) CO LTD
View PDF5 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The inventor found in practice that the existing scheme for calculating the relevance of the recommended information is relatively rough, resulting in low accuracy of the recommended information extracted after sorting according to the relevance, and little correlation with the main content of the webpage. Further meet the needs

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 configuring recommend information in webpage and index service
  • Method for configuring recommend information in webpage and index service
  • Method for configuring recommend information in webpage and index service

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0057] The change increment is to modify the specified feature in the recommendation information to the first feature, and the change increment also includes the feature value of the first feature; the corresponding corresponding relationship is found in the feature relationship table by the change increment, Perform change operations on the found correspondence, including:

[0058] Find the corresponding relationship containing the specified feature in the feature relationship table, and delete the found corresponding relationship;

[0059] And add the corresponding relationship between the first feature and the corresponding feature value in the feature relationship table.

example 2

[0061] The change increment is to delete the specified feature in the recommendation information, and the change increment finds the corresponding corresponding relationship in the feature relationship table, and performs a change operation on the found corresponding relationship, specifically including:

[0062] Find the corresponding relationship containing the specified feature in the feature relationship table, and delete the found corresponding relationship.

example 3

[0064] The change increment is to increase the specified feature, and the change increment also includes the feature value of the specified feature; the change increment finds the corresponding corresponding relationship in the feature relationship table, and performs a change operation on the found corresponding relationship, Specifically include:

[0065] Add the corresponding relationship between the specified feature and the corresponding feature value in the feature relationship table.

[0066] With the solution of the present invention, when the recommendation information changes, it only needs to calculate the corresponding feature value data offline, and then it can be immediately replaced into the online feature relationship table by using the method of incremental update.

[0067] see image 3 , an index server for configuring recommendation information in a web page provided by the present invention, the index server includes a data source storage unit, an index co...

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 a method for configuring recommend information in a webpage and an index service. The method includes: receiving a page request from a front desk server and acquiring matched recommend information from a data source through the page request; for acquiring calculating correlation of the recommend information: determining a data description type of the recommend information, determining a trigger identify through the data description type and reading characteristics and characteristic value from a corresponding characteristic relation table through the trigger identify; calculating the characteristic value of the characteristics in the page request and the characteristic value of the characteristics corresponding to the characteristic relation table, taking a calculating result as the final characteristic value of the corresponding characteristics, and calculating the correlation of the corresponding recommend information through the final characteristic value of the acquired characteristics; ranking the recommend information according to high-to-low sequence of the correlation, extracting the recommend information with the set number from the highest value of the correlation, feeding back the recommending information to the front desk service, and configuring the same into the webpage. By the method, the accuracy in configuring the recommend information in the webpage can be improved.

Description

technical field [0001] The invention relates to information processing technology, in particular to a method for configuring recommendation information in a web page and an index server. Background technique [0002] In addition to displaying the topic content provided by the background, there is also a free display position on the web page to display the recommended information obtained from the index server. [0003] At present, the method of configuring recommendation information in a webpage specifically includes: the data source contains all the recommended information collected, the index server receives the page request from the front-end server, and the page request obtains matching recommendation information from the data source; there are many matching recommendation information, It is necessary to calculate the relevance of each recommendation information, and then sort the recommendation information in order of relevance from high to low, and extract a set number...

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): G06F17/30
CPCG06F16/9535
Inventor 曾富涔
Owner TENCENT TECH (SHENZHEN) CO LTD
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