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Method and network server for recommending network applications to mobile terminal

A mobile terminal, network application technology, applied in the field of network applications, can solve the problem of inability to accurately recommend users

Active Publication Date: 2014-11-19
CHINA MOBILE GROUP ZHEJIANG
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a method and a network server for recommending network applications to mobile terminals. The existing recommendation algorithm can only make recommendations based on the access history when making recommendations, and cannot accurately recommend users of different user groups. defect

Method used

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  • Method and network server for recommending network applications to mobile terminal
  • Method and network server for recommending network applications to mobile terminal
  • Method and network server for recommending network applications to mobile terminal

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Embodiment Construction

[0023] 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 the drawings and specific embodiments.

[0024] The registration information of the mobile terminal used by each user on the Internet, the use records left by browsing and using different network applications are different. In the present invention, different data sources are used for different users to carry out data mining, and different users are adaptively Intelligent grouping.

[0025] An embodiment of the present invention provides a method for recommending a network application to a mobile terminal, such as figure 1 As shown, applied to the web server,

[0026] Methods include:

[0027] Step 101, in the recommendation model, establish a mapping relationship between user identity and interest preference and different recommendation rules, configure the first weight for user identity in ...

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Abstract

The embodiment of the invention provides a method and network server for recommending network applications to a mobile terminal. The method is applied to the network server and includes the steps that in a recommending model, mapping relations between an identity and an interest of a user and different recommending rules are established, a first weight is configured for the identity of the user in the mapping relations, and a second weight is configured for the interest of the user in the mapping relations; the communication attribute of a mobile terminal ID is collected to serve as a BOSS data source, and a first incidence relation between the BOSS data source and the identity of the user is established; the browsing behavior attribute of the mobile terminal is collected to serve as a platform side data source, and a second incidence relation between the platform side data source and the interest is established; according to a user group which the mobile terminal belongs to, the assigned values of the first weight and the second weight are adjusted; according to the recommending rules, detailed network applications are recommended for the mobile terminal. The detailed numerical values of the first weight and the second weight are adjusted in real time, accurate personalized recommending is performed for users of different user groups, and the accuracy of recommending is improved.

Description

technical field [0001] The invention relates to network application technology, in particular to a method and a network server for recommending network applications to mobile terminals. Background technique [0002] The premise of intelligently recommending books to users based on e-commerce or mobile terminals is to fully understand the individual needs of users, and the premise of understanding individual needs is to accurately model and mine users' identities and preferences. Various existing recommendation algorithms are not suitable for new users and users with less visit / purchase behavior. [0003] The basis of the recommendation algorithm is to reasonably and accurately group users, divide them into high-value users and low-value users according to user value, group according to user preferences, and group according to user life cycle, which includes perception, acquisition, consolidation, and maturity , decline and loss and other six stages. [0004] The user infor...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q30/02
CPCG06F16/9535G06Q30/0201
Inventor 戴和忠沈治斯凌李玉巍
Owner CHINA MOBILE GROUP ZHEJIANG
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