PROVIDING APPLICATION PROGRAM AND USER RECOMMENDATION INFORMATION

• US 20150074106A1
• Filed: 09/10/2014
• Published: 03/12/2015
• Est. Priority Date: 09/11/2013
• Status: Abandoned Application

• Current Assignee: Alibaba Group Holding Ltd.
• Original Assignee: Alibaba Group Holding Ltd.
• Inventors: Ji, Jiangsheng
• Application Number:
  US14/483,009
• Publication Number:
  US 20150074106A1
• Time in Patent Office: Days
• US Class Current: 707/736
• CPC Class Codes: G06F 16/284 Relational databases
• CPC Class Codes: G06F 9/543 User-generated data transfer, e.g. clipboards, dynamic data exchange [DDE], object linking and embedding [OLE]
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

The present disclosure provides example methods and devices of recommending application program and user recommendation information. Information of a use sequence of application programs used by a user at a terminal is determined. A correlation relationship of the application programs is determined according to the information of the use sequence. The correlation relationship of the application programs is uploaded to a server so that the server integrates the correlation relationship uploaded by each terminal to determine at least one third application program which is correlated with the first application program and sends recommendation information of correlated application program. Alternatively, at least one another user that is similar to the user is determined and recommendation information of similar user is provided. The present techniques improve an effectiveness of providing recommendation information.

Claims

1. A method comprising:

determining, by a terminal, information of a use sequence of application programs used by a user at the terminal; and

determining, by the terminal, a correlation relationship of the application programs according to the information of the use sequence.

2. The method of claim 1, further comprising uploading the correlation relationship of the application programs to a server.

3. The method of claim 2, further comprising:

integrating, by the server, the correlation relationship uploaded by each terminal to determine at least another application program that is correlated with a first application program; and

providing, by the server, recommendation information of the at least another application program.

4. The method of claim 3, further comprising:

receiving, by the terminal, the recommendation information of the at least another application program;

determining, by the terminal, that the first application program is locally installed and the at least another program is not locally installed; and

providing, by the terminal, the recommendation information of the at least another application program to the user.

5. The method of claim 1, further comprising:

determining, by the terminal, a second application program that is correlated with a first application program; and

adding entry information of the second application program at an operation interface of the first application program.

6. The method of claim 1, wherein:

the determining the information of the use sequence of application programs used by the user at the terminal comprises calculating a respective use sequence of application programs used by a respective user according to log-in information of the respective user; and

the determining the correlation relationship of the application programs according to the information of the use sequence comprises determining the correlation relationship of the application programs according to use sequences of different users.

7. The method of claim 1, wherein the determining the correlation relationship of the application programs according to the information of the use sequence comprises:

determining adjacent application programs as having a switching relationship according to the use sequence;

calculating a number of times that an application program is switched to another application program; and

determining that the application program and the another application program have the correlation relationship in response to determining that the number of times that the application program is switched to the another application program exceeds a predetermined threshold.

8. The method of claim 7, further comprising:

prior to the calculating the number of times that the application program is switched to the another application program, determining whether a time interval of a switching from the application program to the another application program does not exceed a predetermined time threshold; and

counting the switching in response to determining that the time interval of the switching does not exceed the predetermined time threshold.

9. The method of claim 1, wherein the determining information of the use sequence of the application programs used by the user at the terminal comprises:

recording time information of a respective application program that has been used; and

determining the use sequence of the application programs according to the time information of each respective application program.

10. The method of claim 1, further comprising:

uploading the correlation relationship of the application programs to a server;

integrating, by the server, the correlation relationship uploaded by each terminal to determine another user that is similar to the user; and

providing, by the server, recommendation information of the another user.

11. A method comprising:

determining, by a server, one or more correlation relationships of application programs from one or more terminals,

integrating the one or more correlation relationships to determine at least another application program that is correlated with a first application program; and

providing recommending information of the at least another application program to a terminal.

12. The method of claim 11, wherein the determining the one or more correlation relationships of the application programs from the one or more terminals comprises receiving a respective correlation relationship of the application programs from a respective terminal, the respective correlation relationship being determined by the respective terminal according to a respective use sequence of the application programs used by a respective user at the respective terminal.

13. The method of claim 11, wherein the providing the recommending information of the at least one third application program to the terminal comprises:

determining whether the terminal that installs the first application program also installs the at least another application program; and

providing the recommending information of the at least another application program to the terminal if the third application program is not installed at the terminal.

14. The method of claim 11, further comprising:

determining at least one second user that is similar to a first user by comparing similarities of the one or more correlation relationships sent by multiple terminals; and

providing recommending information of the at least one second user to the first user.

15. A method comprising:

receiving respective use information of application programs of a respective user from a respective terminal;

integrating use sequences from one or more respective terminals to determine at least another application program that is correlated with a first application program; and

providing recommending information of the at least another application program to a terminal.

16. The method of claim 15, further comprising determining a respective use sequence of the application programs used by the respective user according to the respective use information;

17. The method of claim 16, wherein the receiving respective use information of the application programs of the respective user from the respective terminal comprises receiving respective time information of a respective application program used at the respective terminal.

18. The method of claim 15, wherein the integrating comprises:

integrating the respective use information of the application programs from multiple terminals to determine a use sequence of the application programs;

determining adjacent application programs in the use sequence as having a switching relationship according to the use sequence;

calculating a number of times that a first application program is switched to another application program; and

determining that the first application program and the another application program have the correlation relationship in response to determining that the number of times that the first application program is switched to the another application program exceeds a predetermined threshold.

19. The method of claim 15, further comprising:

determining a similarity between a use sequence of a user and another use sequence of another user; and

providing recommending information related to the another user to the user in response to determining that the similarity exceeds a predetermined threshold.

20. The method of claim 19, wherein the determining the similarity comprises:

calculating a number of times switching from an application program to another application program of the user and the another user respectively according to the use sequence of the user and the another use sequence of the another user; and

determining the similarity between the use sequences of the user and the use sequences of the another user according to a result of the calculating of the number of times switching from the application program to the another application program of the user and the another user respectively.