Interest resource recommendation method based on multi-dimensional attribute attention

A technology of multi-dimensional attributes and recommendation methods, applied in the field of network applications, can solve the problems of low differentiation and inaccessibility of resources.

Inactive Publication Date: 2013-02-13
NORTHWEST UNIV(CN)
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, recommending resources based on the number of views has a low degree of resource differentiation, and the recommended resources are not necessarily resources that meet the specific interests of users. For the resources of the entire website, resources with low visits may be in this mode. has been inaccessible

Method used

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Embodiment Construction

[0013] The present invention will be further described below by specific embodiment:

[0014] When a user logs in to the network system and browses resources, the network system will record the user ID, the user's current IP, and the ID of the currently accessed resource in real time. According to the resource ID system in the network system, the various specifications of the resources browsed by the user during this visit can be obtained. attribute, if the user logs in to the resource website with an account, only the browsing records of the account will be counted, and the statistics will not be counted based on the IP address.

[0015] The method for recommending interested resources based on multi-dimensional attribute attention of the present invention has the following steps:

[0016] Step 1: First set up a resource recommendation terminal that communicates with the network system with resources. The resource recommendation terminal is equipped with a visualization devic...

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Abstract

The invention discloses an interest resource recommendation method based on multi-dimensional attribute attention. A resource recommendation terminal which is in communication connection with a network system with resources is arranged; the resource recommendation terminal is provided with a visual device, a statistic module, a user type dividing module, an attribute attention guide module, a resource grading module, a topN choosing module and an attribute relevancy guide module. By the recommendation method, corresponding attribute attentions can be calculated according to different users, and resources which are most similar to user interests can be recommended. Excellent interest resources can be recommended even though a user does not browse the resources, and when the user browses the resources, similar predicted interest resources which are relevant to the resources are recommended.

Description

technical field [0001] The invention relates to the technical field of network applications, in particular to a method for recommending interested resources based on multi-dimensional attribute attention. Background technique [0002] The basic resource recommendation method adopted by many resource websites now is to sort the resources according to the number of visits to the resources, and recommend the top ones to users first, or the background administrator to determine the sorting of certain resources according to needs. The advantage of this resource recommendation method is that it is simple and easy to implement, and the system overhead is small. However, recommending resources based on the number of views has a low degree of resource differentiation, and the recommended resources are not necessarily resources that meet the specific interests of users. For the resources of the entire website, resources with low visits may be in this mode. has been inaccessible. For...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 高全力高岭杨建锋朱海阳杨九龙王海苏杰峰张洋
Owner NORTHWEST UNIV(CN)
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