Landmark recommendation method and non-transitory computer-readable storage medium integrated with life behavior analysis and social network

• US 10,552,499 B2
• Filed: 11/30/2016
• Issued: 02/04/2020
• Est. Priority Date: 07/15/2016
• Status: Active Grant

• Current Assignee: Chunghwa Telecom Co., Ltd.
• Original Assignee: Chunghwa Telecom Co., Ltd.
• Inventors: Wu, Kuo-Ruey, Hung, Wen-Hsuan
• Primary Examiner(s): Lewis, Cheryl
• Application Number:
  US15/364,637
• Publication Number:
  US 20180018395A1
• Time in Patent Office: 1,161 Days
• CPC Class Codes: G06F 16/29 Geographical information databases
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

A landmark recommendation method and non-transitory computer-readable storage medium integrated with life behavior analysis and social network. The aforementioned method analyzes device time information and device location information of a user device operated by a user so as to provide life behavior information related to the user, analyzes the life behavior information so as to provide a user preference value, weights a plurality of landmarks located in an inquiring landmark area according to the user preference value and a social recommendation value, and then selects a recommendation list from the landmark which meets a threshold value.

Claims

1. A landmark recommendation method integrated with life behavior analysis and social network applied in a server computer device, comprising:

analyzing device time information and device location information of a user device operated by a user so as to provide life behavior information related to the user, wherein the life behavior information comprises one or a plurality of time grouping block and location grouping information;

analyzing the life behavior information so as to provide a user preference, and weighting a plurality of landmarks located in an inquiring landmark area according to the user preference and a social recommendation value so as to provide weighted values of the landmarks, and then selecting a recommendation list from the weighted values of the landmarks which meets a threshold value; and

transmitting the recommendation list to the user device.

2. The method as claimed in claim 1, further weighting the landmark located in the inquiring landmark area according to a location relation value, and selecting the recommendation list from the landmark which meets the threshold value.

3. The method as claimed in claim 2, wherein the location relation value is generated by number of times of the device location information located in the landmark in a specific time period of the user.

4. The method as claimed in claim 1, wherein the social recommendation value is generated by tagging frequency of the landmark by one or a plurality of user end.

5. The method as claimed in claim 1, wherein the social recommendation value is generated by recommendation content of the landmark by one or a plurality of user end.

6. A non-transitory computer-readable storage medium having instructions stored therein, which when executed by a computer, cause the computer to perform a method for executing computer program code, the method comprising:

analyzing device time information and device location information of a user device operated by a user so as to provide life behavior information related to the user, wherein the life behavior information comprises one or a plurality of time grouping block and location grouping information;

analyzing the life behavior information so as to provide a user preference, and weighting a plurality of landmarks located in an inquiring landmark area according to the user preference and a social recommendation value so as to provide weighted values of the landmarks, and then selecting a recommendation list from the weighted values of the landmarks which meets a threshold value; and

transmitting the recommendation list to the user device.

7. A landmark recommendation method integrated with life behavior analysis and social network applied in a mobile communication device, comprising:

analyzing device time information and device location information of the mobile communication device operated by a user so as to provide life behavior information related to the user, wherein the life behavior information comprises one or a plurality of time grouping block and location grouping information;

analyzing the life behavior information so as to provide a user preference, and weighting a plurality of landmarks located in an inquiring landmark area according to the user preference and a social recommendation value so as to provide weighted values of the landmarks, and then selecting a recommendation list from the weighted values of the landmarks which meets a threshold value; and

displaying the recommendation list on a displayer of the mobile communication device.

8. The method as claimed in claim 7, further weighting the landmark located in the inquiring landmark area according to a location relation value, and selecting the recommendation list from the landmark which meets a threshold value.

9. The method as claimed in claim 8, wherein the location relation value is generated by number of times of the device location information located in the landmark in a specific time period of the user.

10. A non-transitory computer-readable storage medium having instructions stored therein, which when executed by a mobile communication device, cause the mobile communication device to perform a method for executing computer program code, the method comprising:

analyzing device time information and device location information of the mobile communication device operated by a user so as to provide life behavior information related to the user, wherein the life behavior information comprises one or a plurality of time grouping block and location grouping information;

analyzing the life behavior information so as to provide a user preference, and weighting a plurality of landmarks located in an inquiring landmark area according to the user preference and a social recommendation value so as to provide weighted values of the landmarks, and then selecting a recommendation list from the weighted values of the landmarks which meets a threshold value; and

displaying the recommendation list on a displayer of the mobile communication device.