Method and apparatus for checking and updating data on a client terminal

1. A method for checking and updating data on a client terminal, comprising:

obtaining a presentation time interval between two adjacent presenting actions of target data on the client terminal, and obtaining an update time interval between two adjacent updating actions of the target data on a server;

calculating a weighted mean value of the target data based on the presentation time interval and the update time interval, as well as a preset presentation weight and a preset update weight, wherein calculating the weighted mean value comprises:

using a preset level division rule to determine a representation level based on the presentation time interval, and to determine an update level based on the update time interval, wherein the preset level division rule describes a first mapping between the representation level and the presentation time interval, and a second mapping between the update level and the update time interval; and

calculating the weighted mean value using a following equation:

W =( S*Ws+P*Wp )/( Ws+Wp ),

wherein W is the weighted mean value of the target data, S is the representatuion level corresponding to the target data, P is the update level corresponding to the target data, Ws is the preset representation weight corresponding to the target date, and Wp is the preset update weight corresponding to the target data; and

determining an update check period of the client terminal for periodically performing an update operation to the target data based on the weighted mean value.

2. The method of claim 1 , wherein obtaining the presentation time interval comprises:

obtaining a representation history record from the client terminal indicating the recent presentations of the target data on the client terminal; and

calculating a time difference between the most recent two presentations of the target data as the presentation time interval based on the representation history record.

3. The method of claim 2 , wherein obtaining the update time interval comprises:

obtaining an update history record from the server indicating the recent updates of the target data on the server; and

calculating a time difference between the two most recent updates of the target data on the server as the update time interval based on the update history record.

4. The method of claim 1 , wherein obtaining the presentation time interval comprises:

obtaining a representation history record from the client terminal indicating the recent presentations of the target data on the client terminal; and

calculating a mean value of time differences between adjacent presentations of the target data as the presentation time interval based on the representation history record.

5. The method of claim 4 , wherein obtaining the update time interval comprises:

obtaining an update history record from the server indicating the recent updates of the target data on the server; and

calculating a mean value of time differences between adjacent updates of the target data on the server as the update time interval based on the update history record.

6. An apparatus for checking and updating data on a client terminal, comprising:

one or more processors, and memory for storing one or more progran units executed by the one or more processors, wherein the one or more processors are configured to:

obtain a presentation time interval between two adjacent presenting actions of target data on the client terminal, and obtaining an update time interval between two adjacent updating actions of the target data on a server;

calculate a weighted mean value of the target data based on the presentation time interval and the update time interval, as well as a preset presentation weight and a preset update weight by:

using a preset level division rule to determine a representation level based on the presentation time interval, and to determine an update level based on the update time interval, wherein the preset level division rule describes a first mapping between the representation level and the presentation time interval, and a second mapping between the update level and the update time interval; and

calculating the weighted mean value using a following equation:

W =( S*Ws+P*Wp )/( Ws+Wp ),

wherein W is the weighted mean value of the target data, S is the representation level corresponding to the target data, P is the update level corresponding to the target data, Ws is the preset representation weight corresponding to the target data, and Wp is the preset update weight corresponding to the target data; and

determine an update check period of the client terminal for periodically performing an update operation to the target data based on the weighted mean value.

7. The apparatus of claim 6 , wherein the one or more processors are further configured to:

otain a representation history record from the client terminal indicating the recent presentations of the target data on the client terminal; and

obtain a representation history record from the client terminal indicating the recent presentations of the target data on the client terminal; and

calculate a time difference between the most recent two presentations of the target data as the presentation time interval based on the representation history record.

8. The apparatus of claim 7 , wherein the one or more processors are further comfigured to:

obtain an update history record from the server indicating the recent updates of the target data on the server; and

calculate a time difference between the two most recent updates of the target data on the server as the update time interval based on the update history record.

9. The apparatus of claim 6 , wherein the one or more processors are further configured to:

obtain a representation history record from the client terminal indicating the recent presentations of the target data on the client terminal; and

calculate a mean value of time differences between adjacent presentations of the target data as the presentation time interval based on the representation history record.

10. The apparatus of claim 9 , wherein the one or more processors are further configured to:

obtain an update history record from the server indicating the recent updates of the target data on the server; and

calculate a mean value of time differences between adjacent updates of the target data on the server as the update time interval based on the update history record.

11. A non-transitory computer readable memory comprising a computer readable program stored thereon, wherein, when being executed, the computer readable program causes a computer to implement a method for checking and updating data on a client terminal, the method comprising:

obtaining a presentation time interval between two adjacent presenting actions of target data on the client terminal, and obtaining an update time interval between two adjacent updating actions of the target data on a server;

calculating a weighted mean value of the target data based on the presentation time interval and the update time interval, as well as a preset presentation weight and a preset update weight, wherein calculating the weighted mean value comprises:

using a preset level division rule to determine a representation level based on the presentation time interval, and to determine an update level based on the update time interval, wherein the preset level division rule describes a first mapping between the representation level and the presentation time interval, and a second mapping between the update level and the update time interval; and

calculating the weighted mean value using a following equation:

W =( S*Ws+P*Wp )/( Ws+Wp ),

wherein W is the weighted mean value of the target data, S is the representation level corresponding to the target data, P is the update level corresponding to the target data, Ws is the preset representation weight corresponding to the target data, and Wp is the preset update weight corresponding to the target data; and

determining an update check period of the client terminal for periodically performing an update operation to the target data based on the weighted mean value.

12. The non-transitory computer readable memory of claim 11 , wherein obtaining the presentation time interval comprises:

obtaining a representation history record from the client terminal indicating the recent presentations of the target data on the client terminal; and

calculating a time difference between the most recent two presentations of the target data as the presentation time interval based on the representation history record.

13. The non-transitory computer readable memory of claim 12 , wherein obtaining the update time interval comprises:

obtaining an update history record from the server indicating the recent updates of the target data on the server; and

calculating a time difference between the two most recent updates of the target data on the server as the update time interval based on the update history record.

14. The non-transitory computer readable memory of claim 11 , wherein:

obtaining the presentation time interval comprises:

obtaining a representation history record from the client terminal indicating the recent presentations of the target data on the client terminal, and

calculating a mean value of time differences between adjacent presentations of the target data as the presentation time interval based on the representation history record; and

obtaining the update time interval comprises:

obtaining an update history record from the server indicating the recent updates of the target data on the server, and

calculating a mean value of time differences between adjacent updates of the target data on the server as the update time interval based on the update history record.