DATA ANALYSIS METHOD AND DEVICE

1 . A data analysis method, comprising:

acquiring historical behavior data of a user, wherein the historical behavior data comprises information on a historical time period and a historical behavior in the historical time period;

selecting first historical behavior data meeting a first preset condition from the historical behavior data of the user; and

determining a habit of the user based on the first historical behavior data meeting the first preset condition.

2 . The data analysis method according to claim 1 , wherein the first preset condition comprises:

an occurrence frequency of a first historical behavior during a first historical time period in a preset time period reaching a preset frequency threshold.

3 . The data analysis method according to claim 2 , wherein information on the first historical behavior comprises at least one of:

a label of the first historical behavior and a category of the first historical behavior.

4 . The data analysis method according to claim 1 , further comprising:

providing a recommendation for the user based on the determined habit of the user.

5 . A data analysis device, comprising:

one or more processors; and

a memory for storing one or more programs, wherein

the one or more programs are executed by the one or more processors to enable the one or more processors to:

acquire historical behavior data of a user, wherein the historical behavior data comprises information on a historical time period and a historical behavior in the historical time period;

select first historical behavior data meeting a first preset condition from the historical behavior data of the user, and determine a habit of the user based on the first historical behavior data meeting the first preset condition.

6 . The device according to claim 5 , wherein the first preset condition comprises:

an occurrence frequency of a first historical behavior during a first historical time period in a preset time period reaching a preset frequency threshold.

7 . The device according to claim 6 , wherein information on the first historical behavior comprises at least one of:

a label of the first historical behavior and a category of the first historical behavior.

8 . The device according to claim 5 , wherein the one or more programs are executed by the one or more processors to enable the one or more processors to:

provide a recommendation for the user based on the determined habit of the user.

9 . A non-transitory computer-readable storage medium, in which a computer program is stored, wherein the computer program, when executed by a processor, causes the processor to:

acquire historical behavior data of a user, wherein the historical behavior data comprises information on a historical time period and a historical behavior in the historical time period;

select first historical behavior data meeting a first preset condition from the historical behavior data of the user; and

determine a habit of the user based on the first historical behavior data meeting the first preset condition.

10 . The non-transitory computer-readable storage medium according to claim 9 , wherein the first preset condition comprises:

an occurrence frequency of a first historical behavior during a first historical time period in a preset time period reaching a preset frequency threshold.

11 . The non-transitory computer-readable storage medium according to claim 9 , wherein information on the first historical behavior comprises at least one of:

a label of the first historical behavior and a category of the first historical behavior.

12 . The non-transitory computer-readable storage medium according to claim 9 , wherein the computer program, when executed by a processor, causes the processor to:

provide a recommendation for the user based on the determined habit of the user.