Information processing method and device thereof

An information processing method and an information processing device technology, which are applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of low quality item recommendation and the inability of the recommendation algorithm to fully tap the user's potential preference item nodes, etc., to achieve Reduce data sparsity, improve recommendation quality, and accurately evaluate the effect

Active Publication Date: 2015-06-10
CHINA MOBILE GRP GUANGDONG CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide an information processing method and device to solve the problem that the existing recommendation algorithm cannot fully tap the user's potential preference item nodes and the quality of item recommendation is not high

Method used

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  • Information processing method and device thereof
  • Information processing method and device thereof

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Embodiment Construction

[0054] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to specific embodiments and accompanying drawings.

[0055] The embodiment of the present invention solves the problem that the existing recommendation algorithm cannot fully tap the user's potential preference item nodes, and the quality of item recommendation is not high. The embodiment of the present invention provides an information processing method, such as figure 1 shown, including:

[0056] Step 10: Obtain the user's item rating data set, the item rating data set includes the user's rating of the item;

[0057] Step 20: Obtain the first correlation weight Wi of each node in the user-item scoring data set and a user node to be recommended, and the first correlation weight is the correlation weight in the same type of item;

[0058] Step 30: Calculate the second correlation weight We of eac...

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Abstract

The invention provides an information processing method and a device thereof. The method comprises the following steps: acquiring a project score dataset of users, wherein the project score dataset comprises scores on the projects of users; acquiring a first relevance weight Wi between each node and a user node to be recommended in a user-project score database, wherein the first relevance weight serves as a relevance weight in the same type of projects; calculating a second relevance weight We between each node and the user node to be recommended in the user-project score database, wherein the second relevance weight serves as a relevance weight between different types of projects; acquiring the recommendation degree of each node according to We and Wi; and determining projects to be recommended according to the recommendation degree. By virtue of the information processing method and the device thereof, Wi is firstly calculated by using a random walk mode based on the characteristics of a bipartite graph, and the users are implicitly classified; secondly, the relevance between the users to be recommended and the neighborhood users is directly calculated and serves as We in order to avoid the repeated calculation of the relevance between the nodes, so that the potential preferable project nodes of the users are fully exploited, and the recommendation quality is improved.

Description

technical field [0001] The invention relates to the field of data services, in particular to an information processing method and device. Background technique [0002] The problem of "information overload" is becoming more and more serious with the rapid development of information technology and the increase of information content. The recommendation system is considered to be an effective tool to deal with this problem, and many research results have been obtained in recent years. It mines items that users may be interested in and recommends them to users. Currently, personalized recommendation systems have been widely used in mobile services, e-commerce, and information retrieval. Especially for mobile services, with the rapid increase in the number of mobile phone users, the rapid development of mobile communication technology and the rapid growth of mobile value-added data services, a large number of data services and application points have been brought, such as wirele...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 毛昊钟伟锋吴华冼伟权黄刚
Owner CHINA MOBILE GRP GUANGDONG CO LTD
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