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A method and device for resource recommendation based on belief network

A recommendation method and technology of credit network, applied in the field of resource recommendation, can solve the problem of low degree of personalization of recommendation results and achieve the effect of improving the degree of personalization

Active Publication Date: 2016-03-30
中国移动通信集团重庆有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, the above method will have certain problems in practical applications, such as: basically all users use a unified rule, so the degree of personalization of the recommendation results is low

Method used

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  • A method and device for resource recommendation based on belief network
  • A method and device for resource recommendation based on belief network
  • A method and device for resource recommendation based on belief network

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Experimental program
Comparison scheme
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Embodiment Construction

[0020] In view of the problems in the prior art, the present invention proposes a resource recommendation scheme based on the trust network, which can improve the degree of personalization of the recommendation result.

[0021] In order to make the technical solution of the present invention clearer and more comprehensible, the solution of the present invention will be further described in detail below with reference to the drawings and embodiments.

[0022] figure 1 It is a flowchart of an embodiment of a resource recommendation method based on a trust network of the present invention. Such as figure 1 As shown, including the following steps:

[0023] Step 101: In the process of the user accessing system resources, each time the recommendation condition is met, step 102 is executed.

[0024] Each time a user accesses a new resource, a piece of data can be generated, and the data is used to describe the user's access or evaluation of each resource in the system.

[0025] Suppose there ...

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PUM

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Abstract

The invention discloses a resource recommendation method based on a bayesin network. The method includes the steps: A, in the process that a user visits system resources, when recommended conditions are satisfied each time, executing steps B; B, establishing a user interest model based on the belief network for the user, according to the established user interest model, determining ready-to-recommend resources, according to the interested degree of the user, the sequencing the ready-to-recommend resources in a sequence from high to low, and enabling a result to be recommended to the user after the resources are sequenced. The invention at the same time discloses a resource recommendation device based on the belief network. The resource recommendation method and device based on the belief network can improve individuation degree of the recommended result.

Description

Technical field [0001] The present invention relates to resource recommendation technology, in particular to a method and device for resource recommendation based on a credibility network. Background technique [0002] Recommendation technology refers to a technology that actively recommends resources that have not yet been accessed by studying the user's interests when accessing system resources. [0003] At present, almost all large-scale e-commerce systems use recommendation technology to varying degrees, which can help improve the quality of e-commerce services and user loyalty. [0004] The existing recommendation methods are mainly: generating rules based on domain knowledge in a specific field or through data mining methods. When a user accesses system resources, based on the resources that the user has accessed and the rules, it is inferred that the user has not visited but may be interested The resources are sorted according to the strength of the rules and recommended to u...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
Inventor 王世君陈乐君朱贤泽何渝君王琨董宇翔
Owner 中国移动通信集团重庆有限公司