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Service recommendation method and system

A business recommendation and business technology, applied in the field of cloud computing, can solve the problems of not considering the user's interest preference, location and context preference, and poor user experience, so as to improve the recommendation accuracy and user experience, improve user experience, and shorten system response time. Effect

Active Publication Date: 2014-03-05
CHINA UNITED NETWORK COMM GRP CO LTD
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AI Technical Summary

Problems solved by technology

[0003] In the existing LBS-based business recommendation service system, only the geographical location information and the communication behavior information of the business category are considered, and the user's interest preference and location situation preference are not considered. In this way, the business recommended to the user is not the user's most desired service , resulting in poor user experience

Method used

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  • Service recommendation method and system
  • Service recommendation method and system

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Embodiment Construction

[0035] In order to make the objectives, technical solutions and advantages of the present invention clearer, the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be noted that the embodiments in the application and the features in the embodiments can be combined with each other arbitrarily if there is no conflict.

[0036] The steps shown in the flowchart of the drawings can be executed in a computer system such as a set of computer-executable instructions. Also, although a logical sequence is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than here.

[0037] figure 1 It is a flowchart of the business recommendation method of the present invention, such as figure 1 As shown, including the following steps:

[0038] Step 100: Obtain basic user information, original information about the user's use of the Internet, and location context information of...

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Abstract

The invention discloses a service recommendation method and system. The method comprises the steps of obtaining essential information of users, raw information of using the internet by the users and position scene information of using mobile service by the users; setting a user interest model according to the obtained raw information of using the internet by the users; setting a user scene model according to the obtained position scene information of using the mobile service by the users; and setting an association relationship model among the user interest model, the user scene model and service information, calculating the recommendation levels of various kinds of service recommended to the users according to the association relationship model, and recommending the service with the high recommendation level to the users. According to the technical scheme, the position scene of the users is introduced into the individual service recommendation method, so that the recommendation accuracy of individual service and the user experience are improved, and the method is based on a system framework of a cloud computing resource pool, so that the flexibility and the dynamic propagation of resources are achieved, the system response time is shortened and the user experience is improved.

Description

Technical field [0001] The present invention relates to cloud computing technology, in particular to a personalized service recommendation method and system for cloud services based on location services (LBS). Background technique [0002] At present, focus services and refined operation have become an important means for operators to develop their services and improve user experience. The existing precision marketing system is mainly based on the basic information of users, geographic location information, communication behavior and other data to discover business operation rules, and then conduct business recommendations. [0003] In the existing LBS-based business recommendation service system, since only geographic location information and only business category communication behavior information are considered, user interest preferences and location context preferences are not considered. In this way, the business recommended to users is not what users want most. , Causing th...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06F17/30
Inventor 李卫张云勇郭志斌魏进武刘露
Owner CHINA UNITED NETWORK COMM GRP CO LTD
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