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Shop recommendation method based on position of mobile user

A technology for mobile users and recommendation methods, which is applied in the field of communication and can solve problems such as mobile information overload for mobile users

Inactive Publication Date: 2015-11-04
NANJING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, service types and content are changing with each passing day, and limited mobile network resources and hardware resources have brought serious mobile information overload problems to mobile users.

Method used

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  • Shop recommendation method based on position of mobile user
  • Shop recommendation method based on position of mobile user
  • Shop recommendation method based on position of mobile user

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] like Figure 2-5 As shown, the present invention assumes the following application examples: the target mobile user u 1The GPS coordinates of the location are: (116.41757, 39.917305), there are 6 shops around this location, and 4 users have evaluated these 6 shops.

[0043] (1) The mobile user uploads location information, and the system obtains the user location information to generate a user-store scoring matrix. The specific process is as follows:

[0044] Step 1: The mobile user uses the mobile phone to obtain the real-time GPS positioning information location (116.41757 , 39.917305) , and use the mobile phone data service to upload the user's location to the server.

[0045] Step 2: The server receives the user's location information, takes the location as the center, and searches for shops within 2km around. At this time, n=6, S location (s 1 ,s 2 ,s 3 ,s 4 ,s 5 ,s 6 ).

[0046] Step 3: Find out all users who rated according to the historical evaluation...

Embodiment 2

[0067] like figure 1 As shown, the communication message mechanism model includes: a mobile user terminal, a communication link, and a server.

[0068] The process of the store recommendation method based on the location of the mobile user is as follows: figure 2 shown, including:

[0069] Step 1: The user uses the mobile phone to send the user's location information to the server. The server finds all the stores related to the location according to the location information sent by the user, and finds out all the users related to the store. Finally, a user-store scoring matrix is ​​generated. The process like image 3 shown.

[0070] Step 11: The mobile user obtains real-time mobile phone GPS positioning information, and uses the mobile phone data service to upload the user's location to the server. The specific instructions are as follows:

[0071] Let the location information acquired by each user be recorded as location (x,y) , where x is the longitude of the user's...

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PUM

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Abstract

The invention discloses a shop recommendation method based on a position of a mobile user. The method comprises sending position information of the user to a server by a mobile phone used by the user, finding all shops related to the position by the server according to the position information sent by the user, finding all users related to the shops, and finally generating a user-shop scoring matrix; and the method further comprises initially filling the obtained user-shop scoring matrix, performing similarity calculation on a target user vector and other user vectors in the obtained matrix, generating neighbor users, performing scoring prediction on an unscored shop of the target use according to the neighbor users, and performing recommendation for the user according to a prediction result. After prediction scores of the unscored shops of the target user are obtained, the recommendation is performed for the user; and all the prediction scores are ranked, and then the shops, which have the high prediction scores and are the former N items, are recommended to the user.

Description

technical field [0001] The invention relates to a store recommendation method based on the location of a mobile user, belonging to the technical field of communication. Background technique [0002] With the continuous rapid growth of the number of mobile phones and the improvement of the speed and stability of mobile networks, mobile phone applications combined with the characteristics of mobile Internet will inevitably become a very important demand of users. Location-based service (ie: LBS) is an unobtainable service of the mobile Internet, which can provide users with extremely personalized services according to their location. Under such a major premise, a large number of location-based service applications have emerged, and then a number of location-based service life service applications have emerged. At present, the recommendation system has penetrated into various fields, such as e-commerce, movies and videos, personalized music radio stations, social networks, and...

Claims

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Application Information

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IPC IPC(8): H04L29/08H04W4/02G06F17/30
CPCH04W4/021G06F16/9535H04L67/52
Inventor 叶宁卢华超黄海平沙超王汝传
Owner NANJING UNIV OF POSTS & TELECOMM
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