CN104462116B - Data selection method and device - Google Patents
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Abstract
The invention discloses a data statistics method and device, relates to the field of internet application, and aims to solve the problem of slow selection speed caused by counting each scheme one by one. The method comprises the following steps: selecting a target data from at least one data to be tested; respectively sending the target data to at least one terminal for the terminal to execute the target data, wherein the number of the at least one terminal accounts for the preset proportion of the total number of the terminals; receiving exposure information and conversion information sent by each terminal, wherein the exposure information is information triggered when a user contacts target data, the exposure information comprises a test data identifier and a user identifier, the conversion information is used for representing the information triggered when the user generates an index quantity according to the target data, and the conversion information comprises the user identifier, the index type and the index quantity; and counting at least one index quantity corresponding to the target data identification according to all the received exposure information and conversion information. The invention is mainly applied to the process of product version testing.
Description
Technical Field
The invention relates to the field of internet application, in particular to a data selection method and device.
Background
During the development of a product, an optimal scheme needs to be selected from a plurality of schemes. For example, in a social networking tour, there is an icon to get the contact details of others. There are two existing ways, one is a phone icon, and the other is the avatar of the opposite contact.
The existing selection mode is that a designer with rich experience selects an optimal mode according to experience. If the experienced designer cannot select the optimal mode, one mode is randomly selected for implementation, whether the effect of the randomly selected mode meets the preset requirement or not is observed within a certain time (such as one week), and if the effect of the randomly selected mode does not meet the preset requirement, the other modes are selected and the experienced designer is inquired whether the mode is proper or not.
In the process of realizing the above data selection, the inventor finds that at least the following problems exist in the prior art: since the random selection is not necessarily the most suitable for the user's needs, it is very slow to select the optimal mode by counting each mode one by one for a certain time (e.g. one week).
Disclosure of Invention
The invention provides a data statistical method and a data statistical device, which are used for solving the problem of slow selection speed caused by counting each scheme one by one.
In one aspect, the present invention provides a method for data selection, including:
selecting a target data from at least one data to be tested;
respectively sending the target data to at least one terminal for the terminal to execute the target data, wherein the number of the at least one terminal accounts for a preset proportion of the total number of the terminals;
receiving exposure information and conversion information sent by each terminal, wherein the exposure information is information triggered when a user contacts the target data, the exposure information comprises a test data identifier and a user identifier, the conversion information is used for representing information triggered when the user generates an index quantity according to the target data, and the conversion information comprises the user identifier, the index type and the index quantity;
and counting at least one index quantity corresponding to the target data identification according to all the received exposure information and conversion information.
In another aspect, the present invention further provides a data selection apparatus, including:
the device comprises a selection unit, a data acquisition unit and a data processing unit, wherein the selection unit is used for selecting target data from at least one to-be-tested data;
a sending unit, configured to send the target data selected by the selecting unit to at least one terminal, respectively, where the target data is executed by the terminal, and the number of the at least one terminal is a preset proportion of the total number of terminals;
the system comprises a receiving unit, a processing unit and a processing unit, wherein the receiving unit is used for receiving exposure information and conversion information sent by each terminal, the exposure information is triggered when a user contacts the target data, the exposure information comprises a test data identifier and a user identifier, the conversion information is used for representing the information triggered when the user generates an index quantity according to the target data, and the conversion information comprises the user identifier, an index type and the index quantity;
and the counting unit is used for counting at least one index quantity corresponding to the target data identification according to all the received exposure information and conversion information.
The data selection method and the data selection device provided by the invention can select one to-be-tested data from a plurality of to-be-tested data as the target data according to the preset proportion, and respectively send the target data to at least one terminal occupying the preset proportion in the whole terminal quantity. And carrying out statistics on the index quantity in the received exposure information and the conversion information sent by each terminal. In the prior art, only one data to be tested can be tested each time, the test result of each data to be tested can be obtained through multiple tests, and the test period is long. The invention achieves the effect of parallel test by sending different data to be tested to the terminals with different proportions, thereby improving the test speed.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a method of data selection in an embodiment of the present invention;
FIG. 2 is a flow chart of another method of data selection in an embodiment of the present invention;
FIG. 3 is a flow chart of a method of data selection in accordance with an embodiment of the present invention;
FIG. 4 is a schematic view of a setup interface in accordance with an embodiment of the present invention;
FIG. 5 is a block diagram of a method for selecting operation data according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of an apparatus for data selection according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of another data selection apparatus according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
An embodiment of the present invention provides a method for data selection, where the method is applied to a network side server, and as shown in fig. 1, the method includes:
A target data may be selected from the data to be tested according to a preset ratio or a hash function (hash algorithm). Each piece of data to be tested has an Identification (ID), which is a number. And running a random number to obtain a random number. An identification of the data to be tested can be determined from the number and the hash function, and thus the target data can be determined. Or, operating to obtain a random number between 0 and 100, dividing 0 to 100 into numerical value intervals corresponding to different data to be tested according to a preset proportion, determining one data to be tested according to the numerical value interval in which the random number is located, and further determining target data. For example, there are four data to be tested, with a preset ratio of 25%: 25%: 25%: 25%, at this time, if the random number is 34, the second data to be tested is determined as the target data. The data to be tested is the execution code of the version to be tested of the product and other data needing to be selected.
The data to be tested in the embodiment of the invention is used for running at the terminal so as to meet the use requirements of users, such as web browsing, application running and the like. Different data to be tested correspond to different data processing and display modes, a user can trigger exposure parameters and conversion parameters by operating a terminal with target data, and the use effect of the target data can be considered by counting the exposure parameters and the conversion parameters triggered by different target data, so that a programmer can select optimal target data.
And 102, respectively sending the target data to at least one terminal for the terminal to execute the target data, wherein the number of the at least one terminal accounts for a preset proportion of the total number of the terminals.
Since the probability that each data to be tested is selected as the target data is a preset proportion, the proportion of the number of the at least one terminal receiving the target data in the total number of terminals is also a preset proportion.
103, receiving exposure information and conversion information sent by each terminal, wherein the exposure information is triggered when a user contacts target data, the exposure information comprises a test data identifier and a user identifier, the conversion information is used for representing the information triggered when the user generates an index quantity according to the target data, and the conversion information comprises the user identifier, an index type and the index quantity.
The behavior of the user for acquiring the target data includes displaying the target data by the terminal, executing patterns or graphs obtained by the target data by the terminal, and the like. For example: the target data is used to display a web page with a green background. When the user opens the webpage, namely the terminal displays the webpage, the terminal sends exposure information.
The triggering time of the conversion information is related to the index amount, and when a certain index amount is generated by user operation, the terminal transmits the conversion information. For example: the index amount is a payment amount, and if the terminal determines that the payment is successful, the conversion information is sent.
The exposure information includes at least one of the following parameters: test number, target data identification, user identification, exposure time. The test number is used to indicate one transmission operation of the target data. The user identification is an instant communication account number of the user, a mobile phone number of the user, a user mailbox and the like. The exposure time is the time when the exposure information is triggered.
The conversion information includes at least one of the following parameters: test number, user identification, index quantity numerical value and conversion time.
The index amount includes at least any one of the following parameters: online duration, number of clicks, transaction amount, etc.
And 104, counting at least one index quantity corresponding to the target data identification according to all the received exposure information and conversion information.
Since the user does not click all the function keys displayed on the terminal, there may be a case where the exposure information is transmitted but the conversion information is not transmitted. The conversion rate can be obtained by counting the ratio of the exposure information and the conversion information sent by each terminal after the target data is operated. And determining target data with optimal conversion effect according to the conversion rate.
The data selection method provided by the invention can select one to-be-tested data from a plurality of to-be-tested data as the target data according to the preset proportion, and respectively send the target data to at least one terminal occupying the preset proportion in the whole terminal quantity. And carrying out statistics on the index quantity in the received exposure information and the conversion information sent by each terminal. In the prior art, only one data to be tested can be tested each time, the test result of each data to be tested can be obtained through multiple tests, and the test period is long. The invention achieves the effect of parallel test by sending different data to be tested to the terminals with different proportions, thereby improving the test speed.
As a further description of the method shown in fig. 1, in addition to sending target data to all terminals, a method for selecting data may also test a target data packet for some terminals in all interrupts, where an embodiment of the method is shown in fig. 2, and before step 101, selecting one target data from at least one data to be tested, and determining at least one terminal for receiving the target data, the method further includes:
The data request may be used to display data or programs stored in a network-side server, such as a web page. For example, the data request is a request for downloading a certain installation package, or the data request is a request for downloading certain web page content.
step 202a, if the user identifier carried in the data request is included in the test list, selecting a target data from at least one data to be tested.
And if the target data needs to be tested on the part of users, storing the user identification of each user in the part of users into a test list. By inquiring the user identification carried in the data request sent by the user, whether the user is the user for the memorability target data test can be determined. If yes, selecting a target data from at least one data to be tested.
Step 202b, if the user identifier carried in the data request is not included in the test list, sending preset data except the data to be tested, for testing a part of users.
If the user initiating the data request is not in the test list, the user does not test the parameters and the target data, and preset data except the data to be tested is sent to the user at the moment, wherein the preset data is default data.
The data selection method provided by the embodiment of the invention can test target data for part of users, so that the target data can be tested in a targeted manner, and the test accuracy is improved.
An embodiment of the present invention further provides a data selection method, which is a specific description of the method shown in fig. 1, and step 101, selecting a target data from at least one data to be tested, including:
and running a random number, selecting one to-be-tested data from at least one to-be-tested data as target data according to a value interval to which the random number belongs, wherein each to-be-tested data corresponds to one value interval respectively, and the ratio of the value range of each value interval is in accordance with the preset ratio.
And dividing the whole numerical value range according to a preset value proportion to obtain at least one numerical value interval equal to the number of the data to be tested, wherein each data to be tested corresponds to one numerical value interval. And determining target data according to the value interval of the obtained random number. In the preset proportion, the sum of the proportion of each data to be tested is 1. For example: 30%: 30%: 40%, or 25%: 25%: 25%: 25%, etc.
The data selection method provided by the embodiment of the invention can select one target data from at least one to-be-tested data for detection according to the preset proportion, ensures that the target data are tested in parallel, ensures that each target data test object accords with the preset proportion, and ensures the stability and reliability of target data selection.
An embodiment of the present invention further provides a data selection method, which is a specific description of the method shown in fig. 1, and the step 104 of performing statistics on at least one index quantity corresponding to the target data identifier according to all received exposure information and conversion information includes:
when a preset condition is reached, counting at least one index quantity corresponding to the target data identification according to all received exposure information and conversion information;
or counting at least one index quantity corresponding to the target data identification from all the received exposure information and conversion information according to a target index quantity input by a user.
Statistics can be automatically started when a preset condition is reached. The preset condition is that a preset duration is reached or that a test number in the exposure information reaches a predetermined value. When the test number reaches a preset value, all terminals needing to be tested are subjected to target data. The preset time duration is used for predicting the time for all terminals needing to be tested to receive and provide service for the user, for example, 1 hour. The statistical content may be an index amount preset by a user or a total index amount.
The statistics can also be started according to a trigger instruction of a user, and when a target index quantity input by the user is received, the statistics are started. At this time, statistics are made on the exposure records and the conversion records that have been received.
The data selection method provided by the embodiment of the invention can be used for counting all the post-sectional exposure information and conversion information in two statistical modes. And when the preset condition is met, statistics is carried out, so that the input operation of a user can be saved, and the data selection efficiency is improved. The statistics are performed based on the manually input target index amount, and the statistics for the rows can be performed at the root.
As further described in the method shown in fig. 1, as shown in fig. 3, after counting at least one index quantity corresponding to the target data identifier in step 104, the method further includes:
After the statistical result is input, the modification of the preset proportion by the user is received, the preset proportion can be adjusted, the number of the data to be tested and the proportional relation between the data to be tested are changed, further testing is carried out, and then the optimal data is screened out.
The output interface is shown in table 1, and if the index amount counted by the user is the click conversion rate and the payment request conversion rate, the statistical result of each data to be tested is displayed.
As can be seen from the table, the total number of the test cases is 200 times, and there are three types of data to be tested, which account for 30%, 30% and 40% respectively. The data to be tested with the highest conversion rate of the number of clicks is data to be tested 1, and the data to be tested with the highest conversion rate of the number of payment requests is data to be tested 3.
The user can modify the target user proportion in the table 1, and then test according to the preset proportion modified by the user in the next test.
Further, before counting, the user can set the ratio of each data to be tested through the setting interface as shown in fig. 4. Meanwhile, an index quantity to be tested can be set, so that the terminal only detects the index quantity set by the user, and conversion indication is triggered when the change of the index quantity set by the user is generated.
The above-described method steps are performed by a system architecture in a server architecture, such as that shown in fig. 5. The system architecture comprises a management end foreground 51, a management end background 52, a database 53 and a service end 54. The management-side foreground 51 is responsible for displaying a human-computer interaction interface and storing parameters such as an index quantity set by a programmer into the database 53. The management end background 52 is used for managing the user identifier, summarizing the exposure information and the conversion information reported by the terminal, and storing the summarized result in the database 53. The service end 54 is configured to receive a data request from the terminal, provide a data service to the terminal, and send exposure information and conversion information sent by the terminal to the management end back-end 52. The database is selected in the following way: parameters such as index quantity input by a user are stored through a relational data management system (such as a mySQL database), and user identification is stored through a cloud memory (CMEM for short). The statistical results are stored by a distributed file system (HADOOP) based mass data analysis platform.
The data selection method provided by the embodiment of the invention can be used for counting the index quantity corresponding to the data to be tested according to the triggering of a user or automatically to obtain a statistical result. According to the statistical result, the data to be tested with the optimal result can be determined as the data used in the later period, so that the manual calculation conversion rate is avoided, the time for waiting manual calculation is shortened, and the data selection efficiency is improved. Through the man-machine interaction interface, a way for setting the proportion and the index quantity of each data to be tested is provided for a user, so that the data selection is more flexible.
An embodiment of the present invention further provides a data selection apparatus, where the apparatus is located in a network side server, and as shown in fig. 6, the apparatus 61 includes:
the selecting unit 611 is configured to select a target data from at least one data to be tested.
A sending unit 612, configured to send the target data selected by the selecting unit 611 to at least one terminal, respectively, where the terminal executes the target data, and the number of the at least one terminal is a preset proportion of the total number of terminals.
A receiving unit 613, configured to receive exposure information and conversion information sent by each terminal, where the exposure information is information triggered when a user touches the target data, the exposure information includes a test data identifier and a user identifier, the conversion information is used to represent information triggered when the user generates an index amount according to the target data, and the conversion information includes the user identifier, an index type, and the index amount.
And the counting unit 614 is configured to count at least one index amount corresponding to the target data identifier according to all the received exposure information and conversion information.
The data selection device 61 provided by the present invention can select one to-be-tested data from a plurality of to-be-tested data as the target data according to the preset ratio, and respectively send the target data to at least one terminal occupying the preset ratio in the total number of terminals. And carrying out statistics on the index quantity in the received exposure information and the conversion information sent by each terminal. In the prior art, only one data to be tested can be tested each time, the test result of each data to be tested can be obtained through multiple tests, and the test period is long. The invention achieves the effect of parallel test by sending different data to be tested to the terminals with different proportions, thereby improving the test speed.
Further, as shown in fig. 7, the apparatus further includes: an output unit 71 and a modification unit 72.
The receiving unit 613 is further configured to receive a data request respectively sent by at least one terminal, where the data request is used for requesting target data.
The selecting unit 611 is further configured to select a target data from at least one data to be tested when the user identifier carried in the data request is included in the test list.
The sending unit 612 is further configured to send the target data to a terminal that requests the target data.
Further, the selecting unit 611 is further configured to run a random number, select one to-be-tested data from at least one to-be-tested data as target data according to a value interval to which the random number belongs, where each to-be-tested data corresponds to one value interval, and a ratio of a value range of each value interval matches a preset ratio.
Further, the statistical unit 614 is further configured to, when a preset condition is reached, perform statistics on at least one index amount corresponding to the target data identifier according to all received exposure information and conversion information.
Further, the statistical unit 614 is further configured to perform statistics on at least one index amount corresponding to the target data identifier from all the received exposure information and conversion information according to a target index amount input by the user.
The data selection device 61 provided in the embodiment of the present invention can count all the post-processing exposure information and conversion information in two statistical ways. And when the preset condition is met, statistics is carried out, so that the input operation of a user can be saved, and the data selection efficiency is improved. The statistics are performed based on the manually input target index amount, and the statistics for the rows can be performed at the root.
Further, the output unit 71 is configured to output each target data, a statistical result of each target data, and a preset ratio corresponding to each target data;
the receiving unit 613 is further configured to receive a modification instruction input by a user;
the modifying unit 72 is configured to modify the preset ratio according to the receiving unit 613 receiving the modifying instruction.
The data selection device 61 provided in the embodiment of the present invention can count each index amount corresponding to the data to be tested according to the trigger of the user or automatically, so as to obtain a statistical result. According to the statistical result, the data to be tested with the optimal result can be determined as the data used in the later period, so that the manual calculation conversion rate is avoided, the time for waiting manual calculation is shortened, and the data selection efficiency is improved. Through the man-machine interaction interface, a way for setting the proportion and the index quantity of each data to be tested is provided for a user, so that the data selection is more flexible.
It will be clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be performed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to perform all or part of the above described functions. For the specific working processes of the system, the apparatus and the unit described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described here again.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (6)
1. A method of data selection, comprising:
receiving a data request respectively sent by at least one terminal, wherein the data request is used for requesting target data;
running a random number, and selecting one to-be-tested data from at least one to-be-tested data as target data according to a numerical value interval to which the running random number belongs; if the user identification carried in the data request is not contained in the test list, preset data except the data to be tested is sent to the terminal corresponding to the user identification which is not contained in the test list, so that part of all terminals are tested for target data; different data to be tested correspond to different data processing and displaying modes; each data to be tested corresponds to a value interval, and the ratio of the value range of each value interval is in accordance with the preset ratio, so that the target data is tested in parallel, the test objects of the target data are in accordance with the preset ratio, and the stability and reliability of target data selection are ensured;
respectively sending the target data to at least one terminal for the terminal to execute the target data, wherein the number of the at least one terminal accounts for the preset proportion of the total number of the terminals, in the preset proportion, the proportion of the data to be tested is different, and correspondingly, the proportion of the number of the terminals corresponding to the data to be tested accounts for the total number of the terminals is different;
receiving exposure information and conversion information sent by each terminal, wherein the exposure information is information triggered when a user contacts the target data, the exposure information comprises a test data identifier and a user identifier, the conversion information is used for representing information triggered when the user generates an index quantity according to the target data, and the conversion information comprises the user identifier, the index type and the index quantity;
and when the preset time length is reached or the test number in the exposure information reaches a preset value, automatically counting at least one index quantity corresponding to the target data identification according to all the received exposure information and conversion information, wherein when the test number reaches the preset value, all the terminals needing to be tested are indicated to be subjected to the target data, and the preset time length is used for estimating the time for all the terminals needing to be tested to receive and provide service for the user.
2. The method of claim 1, wherein the step of selecting a target data from the at least one data to be tested comprises:
if the user identification carried in the data request is contained in the test list, selecting a target data from at least one data to be tested;
correspondingly, the step of sending the target data to at least one terminal respectively includes:
and sending the target data to a terminal requesting the target data.
3. The method of claim 1, wherein after the step of counting the at least one index quantity corresponding to the target data identification, the method further comprises:
outputting each target data, a statistical result of each target data and a preset proportion corresponding to each target data;
and modifying the preset proportion according to a modification instruction input by a user.
4. An apparatus for data selection, comprising:
a receiving unit, configured to receive a data request sent by at least one terminal, where the data request is used to request target data;
the device comprises a selecting unit, a judging unit and a judging unit, wherein the selecting unit is used for operating a random number and selecting one to-be-tested data from at least one to-be-tested data as target data according to a numerical value interval to which the operating random number belongs; if the user identification carried in the data request is not contained in the test list, preset data except the data to be tested is sent to the terminal corresponding to the user identification which is not contained in the test list, so that part of all terminals are tested for target data; different data to be tested correspond to different data processing and displaying modes; each data to be tested corresponds to a value interval, and the ratio of the value range of each value interval is in accordance with the preset ratio, so that the target data is tested in parallel, the test objects of the target data are in accordance with the preset ratio, and the stability and reliability of target data selection are ensured;
a sending unit, configured to send the target data selected by the selecting unit to at least one terminal, respectively, where the terminal executes the target data, the number of the at least one terminal accounts for the preset proportion of the total number of terminals, and in the preset proportion, the proportion of each data to be tested is different, and correspondingly, the proportion of the number of the terminal corresponding to each data to be tested accounts for the total number of terminals is different;
the receiving unit is further configured to receive exposure information and conversion information sent by each terminal, where the exposure information is triggered when a user contacts the target data, the exposure information includes a test data identifier and a user identifier, the conversion information is used to represent information triggered when the user generates an index amount according to the target data, and the conversion information includes the user identifier, an index type, and the index amount;
and the counting unit is used for automatically counting at least one index quantity corresponding to the target data identification according to all received exposure information and conversion information when the preset time length is reached or the test number in the exposure information reaches a preset value, wherein when the test number reaches the preset value, all terminals needing to be tested are indicated to receive the target data, and the preset time length is used for estimating the time for all terminals needing to be tested to receive and provide service for users.
5. The apparatus according to claim 4, wherein the selecting unit is further configured to select a target data from at least one data to be tested when the user identifier carried in the data request is included in the test list;
the sending unit is further configured to send the target data to a terminal that requests the target data.
6. The apparatus of claim 4, further comprising:
the output unit is used for outputting each target data, the statistical result of each target data and the corresponding preset proportion of each target data;
the receiving unit is also used for receiving a modification instruction input by a user;
and the modifying unit is used for modifying the preset proportion according to the modifying instruction received by the receiving unit.
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| CN107402881A (en) * | 2017-04-14 | 2017-11-28 | 阿里巴巴集团控股有限公司 | The choosing method and device of a kind of project testing |
| CN111176918A (en) * | 2019-12-28 | 2020-05-19 | 苏州浪潮智能科技有限公司 | Server testing method, system, equipment and computer readable storage medium |
| CN111782507A (en) * | 2020-06-12 | 2020-10-16 | 航天信息股份有限公司 | Data testing method and device, storage medium and electronic equipment |
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