Project resource recommendation method and device

A technology for project resources and recommendation methods, which is applied in the field of project resource recommendation methods and devices, can solve the problems of ignoring resource relevance and low accuracy of recommendation results, and achieve the effects of increasing objectivity and comprehensiveness, improving performance, and resource accuracy

Inactive Publication Date: 2019-08-30
UNIV OF SCI & TECH BEIJING
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is to provide a project resource recommendation method and device to solve the problem in the prior art that ignores the correlation between resources, resulting in low accuracy of recommendation results

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
  • Project resource recommendation method and device
  • Project resource recommendation method and device
  • Project resource recommendation method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] Such as figure 1 As shown, the project resource recommendation method provided by the embodiment of the present invention includes:

[0045] S101, judging whether the user accessing the item is a new user;

[0046] S102, if the user is not a new user, determine the degree of relevance between the items;

[0047] S103, on the basis of the collaborative filtering algorithm determining the item similarity, according to the determined correlation between the items and the preset correlation weight coefficient, determine a new similarity;

[0048] S104. According to the determined new similarity, predict the ratings given by the user to the items, and recommend several items with the highest ratings to the user.

[0049] The project resource recommendation method described in the embodiment of the present invention judges whether the user who visits the project is a new user; if the user is not a new user, then determine the degree of association between each project; on t...

Embodiment 2

[0094] The present invention also provides a specific implementation of a device for recommending project resources. Since the device for recommending project resources provided by the present invention corresponds to the specific implementation of the aforementioned method for recommending project resources, the device for recommending project resources can perform the specific implementation of the above method Therefore, the explanations in the specific implementation of the above-mentioned project resource recommendation method are also applicable to the specific implementation of the project resource recommendation device provided by the present invention. In the following specific implementation of the present invention Will not repeat them.

[0095] Such as image 3 As shown, the embodiment of the present invention also provides a device for recommending project resources, including:

[0096] Judging module 11, for judging whether the user who visits the project is a n...

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 provides a project resource recommendation method and device. The accuracy of a recommendation result can be improved. The method comprises the following steps: judging whether a user accessing an item is a new user or not; if the user is not a new user, determining the degree of association among the projects; on the basis that the item similarity is determined through a collaborative filtering algorithm, determining new similarity according to the determined association degree between the items and a preset association degree weight coefficient; predicting the score of the userto the project according to the determined new similarity; and recommending the plurality of items with the highest scores to the user. The invention relates to the field of intelligent recommendation.

Description

technical field [0001] The present invention relates to the field of intelligent recommendation, in particular to a project resource recommendation method and device. Background technique [0002] Traditional recommendation algorithms, mostly based on collaborative filtering algorithms, often only consider the similarity between resources, while ignoring the correlation between resources, resulting in low accuracy of recommendation results. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide a method and device for recommending project resources, so as to solve the problem in the prior art that the correlation between resources is ignored, resulting in low accuracy of recommendation results. [0004] In order to solve the above technical problems, an embodiment of the present invention provides a method for recommending project resources, including: [0005] Determine whether the user accessing the project is a new ...

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): G06Q10/10
CPCG06Q10/103
Inventor 许海涛张傲波周贤伟林福宏吕兴安建伟
Owner UNIV OF SCI & TECH BEIJING
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