Method and apparatus for forecasting a characteristic information change. Historical characteristic data in at least one computation period and current incremental data of multiple pieces of first characteristic information corresponding to a pre-estimation model is acquired. The current incremental data is used for indicating a ratio of characteristic data on a day immediately before a forecasting day of each of the multiple pieces to the historical characteristic data in the at least one computation period of each of the multiple pieces of first characteristic information. A first change information on the forecasting day of second characteristic information is determined by a forecasting process using the pre-estimation model based on the historical characteristic data and the current incremental data. Based on the first change information, change pre-estimation information on the forecasting day of the second characteristic information is determined to prompt a user to execute a corresponding operation.
Please help me write a proper abstract based on the patent claims. CLAIM: 1-21. (canceled) 22. A method for forecasting a characteristic information change, the method comprising: acquiring historical characteristic data in at least one computation period and current incremental data of multiple pieces of first characteristic information corresponding to a pre-estimation model, wherein the current incremental data is used for indicating a ratio of characteristic data on a day immediately before a forecasting day of each of the multiple pieces of the first characteristic information to the historical characteristic data in the at least one computation period of each of the multiple pieces of first characteristic information; obtaining first change information on the forecasting day of second characteristic information, the first change information on the forecasting day of the second characteristic information being determined by a forecasting process using the pre-estimation model based on the historical characteristic data and the current incremental data of each of the multiple pieces of first characteristic information corresponding to the pre-estimation model; and determining, based on the first change information, change pre-estimation information on the forecasting day of the second characteristic information, to prompt a user to execute a corresponding operation based on the change pre-estimation information. 23. The method according to claim 22, further comprising: determining second change information on the forecasting day of the second characteristic information based on a historical characteristic value of the second characteristic information; wherein determining, based on the first change information, the change pre-estimation information on the forecasting day of the second characteristic information, to prompt the user to execute the corresponding operation based on the change pre-estimation information further comprises: determining the change pre-estimation information on the forecasting day of the second characteristic information based on the first change information and the second change information to prompt the user to execute the corresponding operation based on the change pre-estimation information. 24. The method according to claim 22, wherein the acquiring the current incremental data of the multiple pieces of first characteristic information corresponding to the pre-estimation model further comprises: when an updating operation of the user on at least one of the multiple pieces of first characteristic information corresponding to the pre-estimation model is obtained, updating the current incremental data of the at least one of the multiple pieces of first characteristic information based on the updating operation. 25. The method according to claim 22, further comprising: acquiring the historical characteristic data in a historical time period and corresponding incremental information of at least one of the multiple pieces of first characteristic information, the historical time period comprising at least one computation period; obtaining daily characteristic values of the second characteristic information between a present time and an initial point of the historical time period; and determining the pre-estimation model based on the historical characteristic data in the historical time period and the corresponding incremental information of the at least one of the multiple pieces of first characteristic information and the obtained daily characteristic values of the second characteristic information, the pre-estimation model forecasting a characteristic value on a next day of the second characteristic information. 26. The method according to claim 22, further comprising: selecting, based on an operation of a user, one of the multiple pieces of characteristic information as the second characteristic information, and selecting at least one of the remaining pieces of characteristic information as the first characteristic information required for establishing the pre-estimation model for predicting the second characteristic information. 27. The method according to claim 22, further comprising: obtaining a pre-estimation presentation instruction of a current user, wherein determining, based on the first change information, the change pre-estimation information on the forecasting day of the second characteristic information in order to prompt the user to execute the corresponding operation according to the change pre-estimation information further comprises: presenting at least one of the change pre-estimation information corresponding to the pre-estimation presentation instruction according to the pre-estimation presentation instruction. 28. The method according to claim 22, further comprising: identifying, for a plurality of users, the change pre-estimation information of at least one of the second characteristic information in a predetermined time period; fitting respective change pre-estimating information of the plurality of users and the change pre-estimation information in the predefined time period of a current user to determine at least one similar user of the current user based on a result of the fitting; and determining, based on a characteristic update plan of the at least one similar user, a characteristic update plan to be recommended to the current user. 29. The method according to claim 22, further comprising: judging whether the change pre-estimation information satisfies a predetermined prompting condition, and when the change pre-estimation information satisfies the predetermined prompting condition, transmitting corresponding prompt information to a current user to prompt the user to execute the corresponding operation. 30. The method according to claim 22, wherein the method further comprises: obtaining the change pre-estimation information of at least one of the second characteristic information respectively corresponding to one or more users; performing statistics on the obtained change pre-estimation information of at least one of the second characteristic information corresponding to each of the one or more users, to adjust a corresponding service resource configuration based on a statistical result. 31. A pre-estimation apparatus for forecasting a characteristic information change, the apparatus comprising: means for acquiring historical characteristic data in at least one computation period and current incremental data of multiple pieces of first characteristic information corresponding to a pre-estimation model, wherein the current incremental data is used for indicating a ratio of characteristic data on a day immediately before a forecasting day of each of the multiple pieces of the first characteristic information to the historical characteristic data in the at least one computation period of each of the multiple pieces of first characteristic information; means for obtaining first change information on the forecasting day of second characteristic information, the first change information on the forecasting day of the second characteristic information being determined by a forecasting process using the pre-estimation model based on the historical characteristic data and the current incremental data of each of the multiple pieces of first characteristic information corresponding to the pre-estimation model; and means for determining, based on the first change information, change pre-estimation information on the forecasting day of the second characteristic information, to prompt a user to execute a corresponding operation based on the change pre-estimation information. 32. The pre-estimation apparatus according to claim 31, further comprising: means for determining second change information on the forecasting day of the second characteristic information based on a historical characteristic value of the second characteristic information; wherein the means for determining, based on the first change information, the change pre-estimation information on the forecasting day of the second characteristic information, to prompt the user to execute the corresponding operation based on the change pre-estimation information further comprises: means for determining the change pre-estimation information on the forecasting day of the second characteristic information based on the first change information and the second change information to prompt the user to execute the corresponding operation based on the change pre-estimation information. 33. The pre-estimation apparatus according to claim 31, wherein the means for acquiring the current incremental data of the first characteristic information corresponding to the pre-estimation model further comprises: means for updating, when an updating operation of the user on at least one of the multiple pieces of first characteristic information corresponding to the pre-estimation model is obtained, the current incremental data of the at least one of the multiple pieces of first characteristic information based on the updating operation. 34. The pre-estimation apparatus according to claim 31, further comprising: means for acquiring the historical characteristic data in a historical time period and corresponding incremental information of at least one of the multiple pieces of first characteristic information, the historical time period comprising at least one computation period; means for obtaining daily characteristic values of the second characteristic information between a present time and an initial point of the historical time period; and means for determining the pre-estimation model based on the historical characteristic data in the historical time period and the corresponding incremental information of the at least one of the multiple pieces of first characteristic information and the obtained daily characteristic values of the second characteristic information, the pre-estimation model forecasting a characteristic value on a next day of the second characteristic information. 35. The pre-estimation apparatus according to claim 31, further comprising: means for selecting, based on an operation of a user, one of the multiple pieces of characteristic information as the second characteristic information, and selecting at least one of the remaining pieces of characteristic information as the first characteristic information required for establishing the pre-estimation model for predicting the second characteristic information. 36. The pre-estimation apparatus according to claim 31, wherein the pre-estimation apparatus further comprises: means for obtaining a pre-estimation presentation instruction of a current user; wherein the means for determining, based on the first change information, the change pre-estimation information on the forecasting day of the second characteristic information in order to prompt the user to execute the corresponding operation based on the change pre-estimation information further comprises: means for presenting at least one of the change pre-estimation information corresponding to the pre-estimation presentation instruction according to the pre-estimation presentation instruction. 37. The pre-estimation apparatus according to claim 31, further comprising: means for identifying, for a plurality of users, the change pre-estimation information of at least one of the second characteristic information in a predetermined time period; means for fitting respective change pre-estimation information of the plurality of users and the change pre-estimation information in the predefined time period of a current user to determine at least one similar user of the current user based on a result of the fitting; means for determining, based on a characteristic update plan of the at least one similar user, a characteristic update plan to be recommended to the current user. 38. The pre-estimation apparatus according to claim 31, wherein the pre-estimation apparatus further comprises: means for judging whether the change pre-estimation information satisfies a predetermined prompting condition, and when the change pre-estimation information satisfies the predetermined prompting condition, transmit corresponding prompt information to a current user to prompt the user to execute the corresponding operation. 39. The pre-estimation apparatus according to claim 31, wherein the pre-estimation apparatus further comprises: means for obtaining the change pre-estimation information of at least one of the second characteristic information respectively corresponding to one or more users; means for performing statistics on the obtained change pre-estimation information of at least one of multiple pieces of the second characteristic information corresponding to each of the one or more users, in order to adjust corresponding service resource configuration based on a statistical result. 40. A computer-readable medium comprising computer codes which, when executed, cause the method according to claim 22 to be performed. 41. A computer device comprising: a memory storing computer codes, and a processor configured to perform the method according to claim 22 by executing the computer codes.