Shop recommendation method based on position of mobile user
What is Al technical title?
Al technical title is built by PatSnap Al team. It summarizes the technical point description of the patent document.
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
View PDF8 Cites 31 Cited by
Summary
Abstract
Description
Claims
Application Information
AI Technical Summary
This helps you quickly interpret patents by identifying the three key elements:
Problems solved by technology
Method used
Benefits of technology
Problems solved by technology
However, service types and content are changing with each passing day, and limited mobile network reso
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more
Image
Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
Click on the blue label to locate the original text in one second.
Reading with bidirectional positioning of images and text.
Smart Image
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...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more
PUM
Login to view more
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
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more
Application Information
Patent Timeline
Application Date:The date an application was filed.
Publication Date:The date a patent or application was officially published.
First Publication Date:The earliest publication date of a patent with the same application number.
Issue Date:Publication date of the patent grant document.
PCT Entry Date:The Entry date of PCT National Phase.
Estimated Expiry Date:The statutory expiry date of a patent right according to the Patent Law, and it is the longest term of protection that the patent right can achieve without the termination of the patent right due to other reasons(Term extension factor has been taken into account ).
Invalid Date:Actual expiry date is based on effective date or publication date of legal transaction data of invalid patent.
Login to view more 
Login to view more