CN107316156B - Data processing method, device, server and storage medium - Google Patents

Data processing method, device, server and storage medium Download PDF

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CN107316156B
CN107316156B CN201710530167.2A CN201710530167A CN107316156B CN 107316156 B CN107316156 B CN 107316156B CN 201710530167 A CN201710530167 A CN 201710530167A CN 107316156 B CN107316156 B CN 107316156B
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CN107316156A (en
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赵艺峻
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Beijing Kingsoft Internet Security Software Co Ltd
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Abstract

The embodiment of the invention discloses a data processing method, a data processing device, a server and a storage medium. Wherein the method comprises the following steps: publishing data to be processed on a task publishing interface; receiving user marking information of the data to be processed, wherein the user marking information is associated with a user identifier; analyzing the user marking information, and if the user marking information is analyzed and determined to be compliance information, increasing a grade value for the user identifier according to a first rule; if the user marking information is analyzed and determined to be abnormal information, a grade value is reduced for the user identification according to a second rule, and a grade setting mechanism can be provided to accurately measure the quality of the user processing data.

Description

Data processing method, device, server and storage medium
Technical Field
The invention relates to the technical field of computers, in particular to a data processing method, a data processing device, a server and a storage medium.
Background
With the continuous development of intelligent terminals, various applications can be installed in the terminals to achieve diversified functions, for example, a crowdsourcing application can provide a platform for a user to complete some tasks (for example, review photos of websites or add tags to articles) online for a company or an organization, the quality of the tasks processed by the user is usually measured by the task amount of the task processed by the user, and practice shows that the accuracy of a task amount-based measuring mechanism is low, for example, some users complete a large amount of tasks, but the user has many errors in processing a single task.
Disclosure of Invention
Embodiments of the present invention provide a data processing method, an apparatus, a server, and a storage medium, which solve the problem of how to accurately measure the annotation processing quality of a user.
A first aspect of an embodiment of the present invention provides a data processing method, including:
publishing data to be processed on a task publishing interface;
receiving user marking information of the data to be processed, wherein the user marking information is associated with a user identifier;
analyzing the user marking information, and if the user marking information is analyzed and determined to be compliance information, increasing a grade value for the user identifier according to a first rule;
and if the user marking information is analyzed and determined to be abnormal information, reducing the grade value for the user identification according to a second rule.
Optionally, obtaining standard marking information of the data to be processed; comparing the user labeling information with the standard labeling information; and when the matching degree of the user labeling information and the standard labeling information is greater than or equal to a first preset threshold value, determining the user labeling information as compliance information, otherwise, determining the user labeling information as abnormal information.
Optionally, when the data to be processed is of the first data type, searching for standard annotation information of the data to be processed from a preset database; and when the data to be processed is of the second data type, obtaining labeling information which is reported by a plurality of terminals and is obtained by labeling the data to be processed, and determining standard labeling information of the data to be processed according to the obtained labeling information.
Optionally, if the user annotation information is analyzed and determined to be compliance information, determining the data type of the data to be processed; if the data to be processed is determined to be of the first data type, increasing a grade numerical value for the user identifier according to a first numerical value indicated in the first rule; and if the data to be processed is determined to be of a second data type, increasing a grade numerical value for the user identifier according to a second numerical value indicated in the first rule, wherein the second numerical value is different from the first numerical value.
Optionally, if the user annotation information is analyzed and determined to be abnormal information, determining the data type of the data to be processed; if the data to be processed is determined to be of the first data type, reducing the grade value for the user identifier according to a third value indicated in the second rule; and if the data to be processed is determined to be of the second data type, reducing the grade value for the user identifier according to a fourth value indicated in the second rule, wherein the fourth value is different from the third value.
Optionally, when the current level value of the user identifier is within a preset value range, the level value of the user identifier is increased according to a third rule.
Optionally, if the user annotation information is analyzed and determined to be compliance information, determining whether the current level value of the user identifier is greater than a second preset threshold value; if so, increasing a grade numerical value for the user identifier according to a fifth numerical value indicated by the first rule, otherwise, increasing a grade numerical value for the user identifier according to a sixth numerical value indicated by the first rule; if the user marking information is analyzed and determined to be abnormal information, judging whether the current grade value of the user identification is larger than the second preset threshold value or not; if so, reducing the grade numerical value for the user identifier according to a seventh numerical value indicated by the second rule, otherwise, reducing the grade numerical value for the user identifier according to an eighth numerical value indicated by the second rule.
Correspondingly, a second aspect of the embodiments of the present invention further provides a data processing apparatus, including:
and the issuing module is used for issuing the data to be processed on the task issuing interface.
Optionally, the analysis module is specifically configured to obtain standard annotation information of the data to be processed; comparing the user labeling information with the standard labeling information; and when the matching degree of the user labeling information and the standard labeling information is greater than or equal to a first preset threshold value, determining the user labeling information as compliance information, otherwise, determining the user labeling information as abnormal information.
Optionally, the analysis module searches for standard annotation information of the data to be processed from a preset database when the data to be processed is of the first data type; and when the data to be processed is of the second data type, obtaining labeling information which is reported by a plurality of terminals and is obtained by labeling the data to be processed, and determining standard labeling information of the data to be processed according to the obtained labeling information.
Optionally, the management module is specifically configured to determine a data type of the to-be-processed data if the user annotation information is analyzed and determined to be compliance information; if the data to be processed is determined to be of the first data type, increasing a grade numerical value for the user identifier according to a first numerical value indicated in the first rule; and if the data to be processed is determined to be of a second data type, increasing a grade numerical value for the user identifier according to a second numerical value indicated in the first rule, wherein the second numerical value is different from the first numerical value.
Optionally, the management module is specifically configured to determine a data type of the to-be-processed data if the user annotation information is analyzed and determined to be abnormal information; if the data to be processed is determined to be of the first data type, reducing the grade value for the user identifier according to a third value indicated in the second rule; and if the data to be processed is determined to be of the second data type, reducing the grade value for the user identifier according to a fourth value indicated in the second rule, wherein the fourth value is different from the third value.
Optionally, the management module is further configured to increase the level value of the user identifier according to a third rule when the current level value of the user identifier is within a preset value range.
Optionally, the determining module is configured to determine whether the current level value of the user identifier is greater than a second preset threshold value if the user tagging information is analyzed and determined to be compliance information.
Optionally, the management module is specifically configured to, when the current level value of the user identifier is greater than the second preset threshold, add a level value to the user identifier according to a fifth value indicated by the first rule, and otherwise, add a level value to the user identifier according to a sixth value indicated by the first rule.
Optionally, the determining module is further configured to determine whether the current level value of the user identifier is greater than the second preset threshold value if the user tagging information is analyzed and determined to be abnormal information.
Optionally, the management module is specifically configured to, when the current level value of the user identifier is greater than the second preset threshold, decrease the level value for the user identifier according to a seventh value indicated by the second rule, and otherwise, decrease the level value for the user identifier according to an eighth value indicated by the second rule.
The third aspect of the embodiments of the present invention further provides a server, including: a processor, a memory, wherein the processor is configured to execute the data processing method of the first aspect by calling a code or an instruction in the memory.
The fourth aspect of the embodiments of the present invention also provides a computer-readable storage medium, in which a computer program is stored, and when the computer program is executed by a processor, the computer program causes a computer to execute the data processing method according to the first aspect.
A fifth aspect of the embodiments of the present invention discloses a computer program product containing instructions, which, when run on a computer, cause the computer to execute the data processing method according to the first aspect.
In the embodiment of the invention, the grade value of the user identifier can be processed in different modes when the user label information is analyzed and determined to be the compliance information with higher accuracy and the user label information is analyzed and determined to be the abnormal information with lower accuracy, the accuracy of the user for processing the data to be processed can be analyzed based on each user label information to judge whether the grade value is increased or decreased for the user identifier, and the quality of the data processed by the user can be accurately measured based on the grade value of the user identifier finally.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic flow chart of a data processing method according to a first embodiment of the present invention;
fig. 2 is a schematic flow chart of a data processing method according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a data processing apparatus according to a first embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a data processing apparatus according to a second embodiment of the present invention;
fig. 5 is a schematic structural diagram of a server according to a third 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.
In the embodiment of the invention, a server can issue task data (such as photos to be reviewed or articles to be classified) for an organization on a task issuing interface, a terminal user can process the task data according to a personal good field after receiving the task data, the server can audit the received processing result of the terminal user on the task data and update the grade value of the terminal user according to the audit result, and if the audit result conforms to the regulation, the grade value can be added to the terminal user; if the audit result does not meet the specification, the grade value can be reduced for the terminal user.
The following describes a data processing method, an apparatus, a server, and a storage medium according to embodiments of the present invention in detail.
Referring to fig. 1, fig. 1 is a schematic flow chart of a data processing method according to an embodiment of the present invention, where the method may include the following steps.
And S101, publishing the data to be processed on a task publishing interface.
In the embodiment of the invention, the server can release the data to be processed on the task release interface, so that the user can process the processed data.
It should be noted that the to-be-processed data may be test data or formal data, the test data may refer to data for testing a basic level of the user processing data, the formal data may be task data (for example, a photo to be reviewed or an article to be classified) published by a company or an organization through the task publishing interface, in addition, in general, the server stores standard annotation information of the test data, and the server may compare annotation information set for the formal data by a plurality of users to obtain the standard annotation information. The official data or test data may be news data, examination paper data, or article writing data.
The task publishing interface may be an interface of an application, a website interface, or the like.
S102, receiving user marking information of the data to be processed, wherein the user marking information is associated with a user identifier.
In the embodiment of the present invention, the server may receive the user tagging information for the to-be-processed data, where the user tagging information is associated with the user identifier, so that the level value may be updated for the user identifier according to the user tagging information.
It should be noted that, in order to distinguish that the user markup information is set by a certain user, the server may associate the markup information with a user identifier, where the user identifier may uniquely indicate an identity of the user, the user identifier may be an account number of the user logging in the task publishing interface, and the account number may be one or a combination of a number, a chinese character, or a letter.
The user annotation information may be label information set for data to be processed (e.g., a news article), annotation information for correcting the data to be processed (e.g., correcting article writing data), or annotation information for reviewing the data to be processed (e.g., reviewing examination paper data).
S103, analyzing the user annotation information to judge whether the user annotation information is compliance information, if so, executing step S104, otherwise, executing step S105.
In the embodiment of the present invention, the server may analyze the user tagging information to determine whether the user tagging information is compliance information or abnormal information, and further determine whether to increase a level value for the user identifier or decrease the level value for the user identifier.
It should be noted that, the compliance information means that the user annotation information conforms to the rule for processing the data to be processed, that is, the matching degree between the user annotation information and the standard annotation information of the data to be processed is greater than a certain threshold; the abnormal information means that the user annotation information does not meet the specification of processing the data to be processed, that is, the matching degree between the user annotation information and the standard annotation information of the data to be processed is smaller than a certain threshold.
As an alternative embodiment, a specific manner in which the server executes step S103 may include: and obtaining standard marking information of the data to be processed, comparing the user marking information with the standard marking information, and determining the user marking information as compliance information when the matching degree of the user marking information and the standard marking information is greater than or equal to a first preset threshold value, otherwise, determining the user marking information as abnormal information.
In the embodiment of the present invention, the server may compare the standard annotation information of the data to be processed with the user annotation information to determine whether the user annotation information is compliance information. That is, the server may obtain the standard annotation information of the data to be processed, compare the user annotation information with the standard annotation information, determine the user annotation information as compliance information when the matching degree of the user annotation information and the standard annotation information is greater than or equal to a first preset threshold, and determine the user annotation information as abnormal information when the matching degree of the user annotation information and the standard annotation information is less than the first preset threshold.
It should be noted that the first preset threshold may be set according to a data type of the data to be processed, for example, a lower threshold may be set for the data type test data, and a higher threshold may be set for the data type being formal data; the importance level of the data to be processed may also be set, for example, the higher the level is, the larger the first preset threshold is set, and the first preset threshold may also be a fixed value (e.g. 60%).
As an optional embodiment, the specific manner of obtaining the standard annotation information of the data to be processed may include: when the data to be processed is of a first data type, searching standard marking information of the data to be processed from a preset database; and when the data to be processed is of the second data type, obtaining labeling information which is reported by a plurality of terminals and is obtained by labeling the data to be processed, and determining standard labeling information of the data to be processed according to the obtained labeling information.
In the embodiment of the present invention, since the database in the server stores the standard annotation information of the first data type, when the data to be processed is of the first data type, the server may search the standard annotation information of the data to be processed from the preset database. When the data to be processed is of the second data type, the server may obtain labeling information obtained by labeling the data to be processed, which is reported by the plurality of terminals, and determine standard labeling information of the data to be processed according to the obtained labeling information, so that whether the user labeling information is compliance information or not can be determined according to the standard labeling information of the data to be processed.
It should be noted that the first data type may refer to test data, and the second data type may refer to official data.
For example, if the first predetermined threshold is 60%, the to-be-processed data is of a first data type, i.e., test data (e.g., news data), the standard label information of the to-be-processed data stored in the server is political, foreign, or united states, and if the user label information is political, foreign, or united kingdom. The server can compare the user label information with the standard label information, can determine that the matching degree of the user label information and the standard label information is 66.7%, can determine that the user label information is compliant information because the matching degree of the user label information and the standard label information is greater than a first preset threshold value, can determine that the matching degree of the user label information and the standard label information is 33.3% if the label information associated with the user identifier is entertainment information, foreign countries and germany, and can determine that the user label information is abnormal information because the matching degree of the user label information and the standard label information is less than the first preset threshold value.
For example, assuming that the first preset threshold is 70% and the data to be processed is of the second data type, i.e. formal data (e.g. literature copy data), the server may obtain annotation information obtained by annotating the data to be processed reported by a plurality of terminals, where 90% of the obtained annotation information includes poetry and clearage, and 10% of the obtained annotation information includes novels and clearage, the server may determine standard annotation information of the data to be processed according to the obtained annotation information, where the standard annotation information may include poetry and clearage, and if the user annotation information includes poetry and clearage, the user annotation information and the standard annotation information may be compared, and it is determined that the matching degree of the user annotation information and the standard annotation information is 100%, because the matching degree of the user annotation information and the standard annotation information is greater than the second preset threshold, the user annotation information can be determined as compliance information; if the user marking information comprises history and generation, the user marking information is compared with the standard marking information, the matching degree of the user marking information and the standard marking information is determined to be 50%, and the user marking information can be determined to be abnormal information because the matching degree of the user marking information and the standard marking information is smaller than a first preset threshold value.
And S104, increasing a grade numerical value for the user identification according to a first rule.
In the embodiment of the present invention, if the user annotation information is analyzed and determined as compliance information, the server may increase a ranking value for the user identifier according to the first rule, so that the user may be encouraged to process more data to be processed.
It should be noted that, the fact that the user annotation information is analyzed and determined as the compliance information may mean that the matching degree of the user annotation information and the standard annotation information is greater than or equal to a preset matching degree value.
It should be noted that the first rule may be set according to the matching degree value, or may be set according to the type of the data to be processed and the matching degree value.
As an alternative embodiment, a specific manner for the server to execute step S104 may include: if the user marking information is analyzed and determined to be compliance information, determining the data type of the data to be processed, if the data to be processed is determined to be a first data type, increasing a grade numerical value for the user identifier according to a first numerical value indicated in the first rule, and if the data to be processed is determined to be a second data type, increasing a grade numerical value for the user identifier according to a second numerical value indicated in the first rule, wherein the second numerical value is different from the first numerical value.
For example, if the user annotation information is analyzed and determined to be compliance information, the server may determine, according to whether the standard annotation information of the to-be-processed data is stored in the database, whether the data type of the to-be-processed data is determined, that is, the standard annotation information of the to-be-processed data exists in the database, may determine that the to-be-processed data is of the first data type, and add a ranking value to the user identifier according to a first value (e.g., 12) indicated in the first rule, and if the standard annotation information of the to-be-processed data does not exist in the database, may determine that the to-be-processed data is of the second data type, add a ranking value to the user identifier according to a second value (e.g., 10) indicated in the first rule.
In the embodiment of the present invention, if the user annotation information is analyzed and determined to be compliance information, the server may set a rating value for the user identifier according to the data type of the data to be processed. That is, if the user annotation information is analyzed and determined to be compliance information, the server may determine the data type of the data to be processed, if it is determined that the data to be processed is a first data type, increase a rating value for the user identifier according to a first value indicated in the first rule, and if it is determined that the data to be processed is a second data type, increase a rating value for the user identifier according to a second value indicated in the first rule, where the second value is different from the first value.
It should be noted that the first data type may refer to test data, and the second data type may refer to official data.
It should be noted that the second value is different from the first value, the first value may be greater than the second value, and the first value may be smaller than the second value, which is not limited in the present invention.
And S105, according to a second rule, reducing the grade value for the user identification.
In the embodiment of the present invention, if the user annotation information is analyzed and determined to be abnormal information, the server may identify, according to the second rule, a reduction level value for the user, so as to prompt the user to process the data to be processed more seriously.
It should be noted that, the fact that the user annotation information is analyzed and determined as abnormal information may mean that the matching degree of the user annotation information and the standard annotation information is smaller than a preset matching degree value.
It should be noted that the second rule may be set according to the matching degree value, or may be set according to the type of the data to be processed and the matching degree value.
As an alternative implementation, a specific manner in which the server performs step S104 may include: if the user marking information is analyzed and determined to be abnormal information, determining the data type of the data to be processed, if the data to be processed is determined to be the first data type, reducing the grade value for the user identifier according to a third numerical value indicated in the second rule, if the data to be processed is determined to be the second data type, reducing the grade value for the user identifier according to a fourth numerical value indicated in the second rule, wherein the fourth numerical value is different from the third numerical value.
For example, if the user annotation information is analyzed and determined to be abnormal information, the server may determine the data type of the data to be processed, identify a decreasing level value for the user according to a third value (e.g., 18) indicated in the second rule if the data to be processed is determined to be the first data type, and identify a decreasing level value for the user according to a fourth value (e.g., 15) indicated in the second rule if the data to be processed is determined to be the second data type.
In the embodiment of the present invention, if the user annotation information is analyzed and determined to be abnormal information, the server may set a reduction level value for the user identifier according to the data type of the data to be processed. If the user marking information is analyzed and determined to be abnormal information, determining the data type of the data to be processed, if the data to be processed is determined to be the first data type, reducing the grade value for the user identifier according to a third numerical value indicated in the second rule, and if the data to be processed is determined to be the second data type, reducing the grade value for the user identifier according to a fourth numerical value indicated in the second rule, wherein the fourth numerical value is different from the third numerical value.
It should be noted that the third value is different from the fourth value, the third value may be greater than the fourth value, and the third value may be smaller than the fourth value, which is not limited in the present invention.
It should be noted that the first numerical value and the third numerical value may be the same or different, and the second numerical value and the fourth numerical value may be the same or different, which is not limited in the present invention.
As an optional embodiment, if the user annotation information is analyzed and determined to be compliance information, determining whether the current level value of the user identifier is greater than a second preset threshold; if so, increasing the grade value for the user identifier according to the fifth value indicated by the first rule, otherwise, increasing the grade value for the user identifier according to the sixth value indicated by the first rule.
For example, if the third predetermined threshold is 100, if the user label information is analyzed and determined to be compliant information and the current level value of the user identifier (the current level value is 120) is greater than the second predetermined threshold, the user identifier may be incremented by a level value according to a fifth value (the fifth value is 6) indicated in the first rule, and if the current level value is 90, the user identifier may be incremented by a sixth value (the sixth value is 8) indicated in the first rule.
It should be noted that the fifth value may be different from the sixth value, and the fifth value may be smaller than the sixth value.
In the embodiment of the invention, if the user marking information is analyzed and determined to be the compliance information, the server can add different grade values to the user identifier through the current grade value of the user identifier. Specifically, if the user annotation information is analyzed and determined to be compliance information, the server may determine whether the current level value of the user identifier is greater than a third preset threshold; if so, increasing the grade value for the user identifier according to the fifth value indicated by the first rule, otherwise, increasing the grade value for the user identifier according to the sixth value indicated by the first rule.
As an optional embodiment, if the user tagging information is analyzed and determined to be abnormal information, determining whether the current level value of the user identifier is greater than a third preset threshold; if so, reducing the grade numerical value for the user identifier according to a seventh numerical value indicated by the second rule, otherwise, reducing the grade numerical value for the user identifier according to an eighth numerical value indicated by the first rule.
For example, if the third predetermined threshold is 100, if the user tag information is analyzed and determined as abnormal information and the current level value of the user identifier (the current level value is 150) is greater than the third predetermined threshold, the seventh value (the seventh value is 18) indicated in the second rule may be the user identifier reduction level value, and if the current level value is 90, the eighth value (the eighth value is 15) indicated in the second rule may be the user identifier reduction level value.
In the embodiment of the invention, if the user marking information is analyzed and determined to be abnormal information, the server can reduce different grade values for the user identifier through the current grade value of the user identifier. Specifically, if the user tagging information is analyzed and determined to be abnormal information, the server may determine whether the current level value of the user identifier is greater than a third preset threshold; if so, reducing the grade numerical value for the user identifier according to a seventh numerical value indicated by the second rule, otherwise, reducing the grade numerical value for the user identifier according to an eighth numerical value indicated by the first rule, so that the grade numerical value can be reduced according to the current grade numerical value of the user identifier.
It should be noted that the seventh value may be different from the eighth value, and the seventh value may be smaller than the eighth value.
It should be noted that the fifth numerical value and the seventh numerical value may be the same or different, and the sixth numerical value and the eighth numerical value may be the same or different.
It should be noted that the first numerical value may be the same as one of the fifth numerical value and the sixth numerical value, or may be different from both the fifth numerical value and the sixth numerical value, and on the premise that the second numerical value is different from the first numerical value, the second numerical value may also be the same as one of the fifth numerical value and the sixth numerical value, or may be different from both the fifth numerical value and the sixth numerical value, for example, if the first numerical value may be the same as the fifth numerical value, the second numerical value may be the same as the sixth numerical value.
The third value may be the same as one of the seventh value and the eighth value, or may be different from both the seventh value and the eighth value, and the fourth value may be the same as one of the seventh value and the eighth value, or may be different from both the seventh value and the eighth value, on the premise that the fourth value is different from the third value.
As an alternative embodiment, when the current level value of the ue is within the preset value range, the level value of the ue is increased according to a third rule.
For example, the server may determine that the current ranking value of the ue is within the preset value range, and may increase the ranking value of the ue by a value (e.g., 5) indicated by the third rule, where the current ranking value of the ue is-8 and the first value range is [ -100, 0 ].
In this embodiment of the present invention, before the server performs step S101 or after the server performs any one of steps S101 to S105, it may be detected whether the current level value of the user identifier is within a preset value range, and when it is detected that the current level value of the user identifier is within the preset value range, the server may increase the level value of the user identifier according to a third rule, so as to prevent the level value of the user identifier from being at a lower value.
As an alternative, the server may set an initial rating value for the user id, such as 30 for the user id.
In the embodiment of the invention, the server can analyze the user marking information of the data to be processed, if the user marking information is analyzed and determined to be the compliance information with higher accuracy, the level numerical value is increased for the user identifier according to the first rule, if the user marking information is analyzed and determined to be the abnormal information with lower accuracy, the level numerical value is reduced for the user identifier according to the second rule, and a reasonable level setting mechanism can be provided based on the marking information of the data to be processed by the user so as to accurately measure the quality of the data processed by the user.
Referring to fig. 2, fig. 2 is a schematic flow chart of a data processing method according to an embodiment of the present invention, where the method may include the following steps.
S201, publishing the data to be processed on a task publishing interface.
S202, receiving user marking information of the data to be processed, wherein the user marking information is associated with a user identifier.
And S203, when the data to be processed comprises the first type of data, searching the standard marking information of the data to be processed from a preset database.
In the embodiment of the present invention, when the data to be processed includes the first type of data, since the server stores the first standard annotation information of the data to be processed, the server may search the standard annotation information of the data to be processed from a preset database, so that the user annotation information may be compared with the first standard annotation information.
It should be noted that the preset database may include standard annotation information of the data to be processed, and the database may also include other data.
S204, comparing the user annotation information with the standard annotation information to determine whether the matching degree of the user annotation information and the standard annotation information is greater than or equal to a first preset threshold, if so, performing step S205, otherwise, performing step S206.
In the embodiment of the present invention, the server may compare the user tagging information with the standard tagging information, determine the user tagging information as compliance information when the matching degree of the user tagging information and the standard tagging information is greater than or equal to a first preset threshold, and otherwise determine the user tagging information as abnormal information, so as to determine whether to increase a level numerical value for the user identifier or decrease the level numerical value for the user identifier according to the comparison result.
For example, if the first predetermined threshold is 60%, the first type of data is test data (e.g., news data), the standard label information of the to-be-processed data stored in the server is political affairs, foreign country, and united states, and if the user label information is political affairs, foreign country, and united kingdom. The server can compare the user label information with the standard label information, can determine that the matching degree of the user label information and the standard label information is 66.7%, can determine that the user label information is compliant information because the matching degree of the user label information and the standard label information is greater than a first preset threshold value, can determine that the matching degree of the user label information and the standard label information is 33.3% if the label information associated with the user identifier is entertainment information, foreign countries and germany, and can determine that the user label information is abnormal information because the matching degree of the user label information and the standard label information is less than the first preset threshold value.
And S205, increasing a grade numerical value for the user identifier according to the first numerical value indicated in the first rule.
In the embodiment of the present invention, when the user annotation information is determined to be compliance information, the server may add a ranking value to the user identifier according to the first value indicated in the first rule.
S206, according to the third numerical value indicated in the second rule, the grade reduction numerical value is identified for the user.
In the embodiment of the present invention, when the user tagging information is determined to be abnormal information, the server may decrease the level value for the user identifier according to a third value indicated in the second rule.
For example, when the data to be processed includes the first type of data, if the user annotation information is analyzed and determined to be compliant information, a ranking value is increased for the user identifier according to a first value (e.g., the first value is 12) indicated in a first rule, and if the user annotation information is analyzed and determined to be abnormal information, a ranking value is decreased for the user identifier according to a third value (e.g., the third value is 18) indicated in a second rule.
In the embodiment of the present invention, when the data to be processed is of the first data type, the server may search the standard annotation information of the data to be processed from the preset database, determine whether the user annotation information is compliant information according to the standard information, increase a rating value for the user identifier when determining that the user annotation information is compliant information, that is, when the accuracy of the user annotation information is high (for example, higher than 60%), decrease the rating value for the user identifier when determining that the user annotation information is abnormal information, that is, when the accuracy of the user annotation information is low (for example, lower than 60%), and provide a reasonable rating setting mechanism based on the annotation information of the data to be processed by the user to accurately balance the quality of the data processed by the user.
Referring to fig. 3, fig. 3 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present invention, where the data processing apparatus may be applied to a data processing system, and the data processing system may be disposed in a terminal or a server, which is not limited in the embodiment of the present invention. As shown in fig. 3, the data processing apparatus may include:
the publishing module 301 is configured to publish the to-be-processed data on the task publishing interface.
In this embodiment of the present invention, the publishing module 301 may publish the data to be processed on the task publishing interface, so that the user may process the processed data.
The data to be processed may be test data or formal data, the test data refers to data for testing the level of data processed by the user, the formal data may be task data (such as a photo to be reviewed or a paper to be classified) published by a company or an organization through the task publishing interface, and in addition, the data processing apparatus generally stores standard annotation information of the test data, and the data processing apparatus may compare annotation information set for the formal data by a plurality of users to obtain the standard annotation information. The official data or test data may be news data, examination paper data, or article writing data.
The task publishing interface may be an interface of an application, a website interface, or the like.
A receiving module 302, configured to receive user tagging information about the to-be-processed data, where the user tagging information is associated with a user identifier.
An analysis module 303, configured to analyze the user annotation information.
In this embodiment of the present invention, the analyzing module 303 may analyze the user tagging information to determine whether the user tagging information is compliance information or abnormal information, and further determine whether to increase a rating value for the user identifier or decrease the rating value for the user identifier.
It should be noted that, the compliance information means that the user annotation information conforms to the rule for processing the data to be processed, that is, the matching degree between the user annotation information and the annotation information of the data to be processed is greater than a certain threshold; the abnormal information means that the user annotation information does not meet the specification of processing the data to be processed, that is, the matching degree between the user annotation information and the annotation information of the data to be processed is smaller than a certain threshold.
The management module 304 is configured to, if the user annotation information is analyzed and determined to be compliance information, add a ranking value to the user identifier according to a first rule; and if the user marking information is analyzed and determined to be abnormal information, reducing the grade value for the user identification according to a second rule.
In this embodiment of the present invention, if the user annotation information is analyzed and determined to be compliance information, the management module 304 may increase a level value for the user identifier according to the first rule, so as to encourage the user to process more data to be processed. If the user annotation information is analyzed and determined to be anomalous, the management module 304 may identify a decreasing level value for the user according to a second rule, so that the user may be prompted to process the data to be processed more seriously.
In the embodiment of the invention, the server can analyze the user marking information of the data to be processed, if the user marking information is analyzed and determined to be the compliance information (namely the marking information with higher accuracy), the grade value is increased for the user identifier according to the first rule, if the user marking information is analyzed and determined to be the abnormal information (namely the marking information with lower accuracy), the grade value is reduced for the user identifier according to the second rule, and a reasonable grade setting mechanism can be provided based on the marking information of the data to be processed by the user so as to accurately balance the quality of the data processed by the user.
Referring to fig. 4, fig. 4 is a schematic structural diagram of a data processing apparatus according to a second embodiment of the present invention, where the data processing apparatus may be applied to a data processing system, and the data processing system may be disposed in a terminal or a server, which is not limited in the embodiments of the present invention. Fig. 4 is optimized on the basis of fig. 3. The data processing apparatus includes a publishing module 301, a receiving module 302, an analyzing module 303, a managing module 304, and a determining module 305, where the apparatus includes:
optionally, the analysis module 303 is specifically configured to obtain standard annotation information of the data to be processed; comparing the user labeling information with the standard labeling information; and when the matching degree of the user labeling information and the standard labeling information is greater than or equal to a first preset threshold value, determining the user labeling information as compliance information, otherwise, determining the user labeling information as abnormal information.
Optionally, the analysis module 303 searches for standard annotation information of the data to be processed from a preset database when the data to be processed is of the first data type; and when the data to be processed is of the second data type, obtaining labeling information which is reported by a plurality of terminals and is obtained by labeling the data to be processed, and determining standard labeling information of the data to be processed according to the obtained labeling information.
Optionally, the management module 304 is specifically configured to determine a data type of the to-be-processed data if the user annotation information is analyzed and determined to be compliance information; if the data to be processed is determined to be of the first data type, increasing a grade numerical value for the user identifier according to a first numerical value indicated in the first rule; and if the data to be processed is determined to be of a second data type, increasing a grade numerical value for the user identifier according to a second numerical value indicated in the first rule, wherein the second numerical value is different from the first numerical value.
Optionally, the management module 304 is specifically configured to determine a data type of the to-be-processed data if the user annotation information is analyzed and determined to be abnormal information; if the data to be processed is determined to be of the first data type, reducing the grade value for the user identifier according to a third value indicated in the second rule; and if the data to be processed is determined to be of the second data type, reducing the grade value for the user identifier according to a fourth value indicated in the second rule, wherein the fourth value is different from the third value.
Optionally, the management module 304 is further configured to increase the level value of the user identifier according to a third rule when the current level value of the user identifier is within a preset value range.
Optionally, the determining module 305 is configured to determine whether the current level value of the user identifier is greater than a second preset threshold value if the user tagging information is analyzed and determined to be compliance information.
Optionally, the management module 304 is specifically configured to, when the current level value of the user identifier is greater than the second preset threshold, increase the level value for the user identifier according to a fifth value indicated by the first rule, and otherwise, increase the level value for the user identifier according to a sixth value indicated by the first rule.
Optionally, the determining module 305 is further configured to determine whether the current level value of the user identifier is greater than the second preset threshold if the user tagging information is analyzed and determined to be abnormal information.
Optionally, the management module 304 is specifically configured to, when the current level value of the user identifier is greater than the second preset threshold, decrease the level value for the user identifier according to a seventh value indicated by the second rule, and otherwise, decrease the level value for the user identifier according to an eighth value indicated by the second rule.
In the embodiment of the invention, the data processing device can update the grade value of the user according to the data type of the data to be processed and the processing condition of the user on the data to be processed, or according to the processing condition of the user on the data to be processed and the current grade value of the user, and a reasonable grade setting mechanism can be provided so as to accurately measure the quality of the data processed by the user.
Referring to fig. 5, fig. 5 is a schematic structural diagram of a server according to a third embodiment of the present invention, and as shown in the drawing, the server may include: at least one processor 501, such as a CPU (Central Processing Unit), at least one communication interface 503, memory 504, and at least one communication bus 502.
Wherein a communication bus 502 is used to enable connective communication between these components. The communication interface 503 may include a Display (Display) and a Keyboard (Keyboard), and the optional communication interface 503 may also include a standard wired interface and a standard wireless interface. The data to be processed may be published or the annotation information for the data to be processed may be received through the communication interface 503.
The Memory 504 may be a RAM (random Access Memory) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The memory 504 may optionally be at least one storage device located remotely from the processor 501, and may be used to store standard annotation information for the data to be processed.
Wherein the processor 501 may be combined with the apparatus described in fig. 3 and 4, the memory 504 has at least one set of program codes stored therein, and the processor 501 calls the program codes stored in the memory 504 for executing a data processing method, namely for performing the following operations:
publishing data to be processed on a task publishing interface;
receiving user marking information of the data to be processed, wherein the user marking information is associated with a user identifier of a terminal user processing the data to be processed;
analyzing the user marking information, and if the user marking information is analyzed and determined to be compliance information, increasing a grade value for the user identifier according to a first rule;
and if the user marking information is analyzed and determined to be abnormal information, reducing the grade value for the user identification according to a second rule.
Optionally, the processor 501 calls the program code in the memory 504, and is further configured to perform the following operations:
acquiring standard marking information of the data to be processed;
comparing the user labeling information with the standard labeling information;
and when the matching degree of the user labeling information and the standard labeling information is greater than or equal to a first preset threshold value, determining the user labeling information as compliance information, otherwise, determining the user labeling information as abnormal information.
Optionally, the processor 501 calls the program code in the memory 504, and is further configured to perform the following operations:
when the data to be processed is of a first data type, searching standard marking information of the data to be processed from a preset database;
and when the data to be processed is of the second data type, obtaining labeling information which is reported by a plurality of terminals and is obtained by labeling the data to be processed, and determining standard labeling information of the data to be processed according to the obtained labeling information.
Optionally, the processor 501 calls the program code in the memory 504, and is further configured to perform the following operations:
if the user marking information is analyzed and determined to be compliance information, determining the data type of the data to be processed;
if the data to be processed is determined to be of the first data type, increasing a grade numerical value for the user identifier according to a first numerical value indicated in the first rule;
and if the data to be processed is determined to be of a second data type, increasing a grade numerical value for the user identifier according to a second numerical value indicated in the first rule, wherein the second numerical value is different from the first numerical value.
Optionally, the processor 501 calls the program code in the memory 504, and is further configured to perform the following operations:
if the user marking information is analyzed and determined to be abnormal information, determining the data type of the data to be processed;
if the data to be processed is determined to be of the first data type, reducing the grade value for the user identifier according to a third value indicated in the second rule;
and if the data to be processed is determined to be of the second data type, reducing the grade value for the user identifier according to a fourth value indicated in the second rule, wherein the fourth value is different from the third value.
Optionally, the processor 501 calls the program code in the memory 504, and is further configured to perform the following operations:
and when the current grade value of the user identifier is within a preset value range, increasing the grade value of the user identifier according to a third rule.
Optionally, the processor 501 calls the program code in the memory 504, and is further configured to perform the following operations:
if the user marking information is analyzed and determined to be compliance information, judging whether the current grade value of the user identification is larger than a second preset threshold value or not; if so, increasing a grade numerical value for the user identifier according to a fifth numerical value indicated by the first rule, otherwise, increasing a grade numerical value for the user identifier according to a sixth numerical value indicated by the first rule;
if the user marking information is analyzed and determined to be abnormal information, judging whether the current grade value of the user identification is larger than the second preset threshold value or not; if so, reducing the grade numerical value for the user identifier according to a seventh numerical value indicated by the second rule, otherwise, reducing the grade numerical value for the user identifier according to an eighth numerical value indicated by the second rule.
In the embodiment of the invention, the server can analyze the user marking information of the data to be processed, if the user marking information is analyzed and determined to be the compliance information (namely the marking information with higher accuracy), the grade value is increased for the user identifier according to the first rule, if the user marking information is analyzed and determined to be the abnormal information (namely the marking information with lower accuracy), the grade value is reduced for the user identifier according to the second rule, and a reasonable grade setting mechanism can be provided based on the marking information of the data to be processed by the user so as to accurately balance the quality of the data processed by the user.
The embodiment of the invention provides a computer program product, wherein when instructions in the computer program product are executed by a processor, a data processing method as shown in the embodiment of fig. 1 and fig. 2 of the application can be executed.
An embodiment of the present invention further provides a storage medium, where instructions in the storage medium, when executed by a processor of a terminal, enable the terminal to perform a data processing method as shown in the embodiments of fig. 1 and fig. 2 in this application.
The communication bus 502 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The communication bus 502 may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 5, but this is not intended to represent only one bus or type of bus.
The memory 504 may include a volatile memory (RAM), such as a random-access memory (RAM); the memory may also include a non-volatile memory (english: non-volatile memory), such as a flash memory (english: flash memory), a hard disk (english: hard disk drive, abbreviation: HDD), or a solid-state drive (english: SSD); the memory 504 may also comprise a combination of the above-described types of memory.
The processor 501 may be a Central Processing Unit (CPU), a Network Processor (NP), or a combination of CPU and NP.
The processor 501 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a Programmable Logic Device (PLD), or a combination thereof. The aforementioned PLD may be a Complex Programmable Logic Device (CPLD), a field-programmable gate array (FPGA), a General Array Logic (GAL), or any combination thereof.
Optionally, the memory 504 is also used for storing program instructions. The processor 501 may call the program instructions to implement the data processing method as shown in the embodiments of fig. 1 and 2 of the present application.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above description is only for the specific embodiments of the present application, but the scope of the present application 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 application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (12)

1. A data processing method, comprising:
publishing data to be processed on a task publishing interface;
receiving user marking information of the data to be processed, wherein the user marking information is associated with a user identifier; the user annotation information refers to label information set for the data to be processed, or refers to annotation information for correcting the data to be processed, or refers to annotation information for reviewing the data to be processed;
when the data to be processed is of a first data type, searching standard marking information of the data to be processed from a preset database; when the data to be processed is of a second data type, obtaining labeling information which is reported by a plurality of terminals and is obtained by labeling the data to be processed, and determining standard labeling information of the data to be processed according to the obtained labeling information;
comparing the user labeling information with the standard labeling information;
when the matching degree of the user labeling information and the standard labeling information is larger than or equal to a first preset threshold value, determining the user labeling information as compliance information, otherwise, determining the user labeling information as abnormal information; the first preset threshold is set according to the data type or the importance level of the data to be processed, the first preset threshold corresponding to the test data is lower than the first preset threshold corresponding to the formal data, or the first preset threshold is larger as the importance level is higher;
if the user marking information is analyzed and determined to be compliance information, increasing a grade value for the user identification according to a first rule;
if the user marking information is analyzed and determined to be abnormal information, reducing a grade value for the user identification according to a second rule;
the first rule and/or the second rule are set according to the data type of the data to be processed, and the first rule and/or the second rule corresponding to different data types are different.
2. The method of claim 1, wherein if the user annotation information is analyzed and determined to be compliance information, then according to a first rule, increasing a rating value for the user identifier comprises:
if the user marking information is analyzed and determined to be compliance information, determining the data type of the data to be processed;
if the data to be processed is determined to be of the first data type, increasing a grade numerical value for the user identifier according to a first numerical value indicated in the first rule;
and if the data to be processed is determined to be of a second data type, increasing a grade numerical value for the user identifier according to a second numerical value indicated in the first rule, wherein the second numerical value is different from the first numerical value.
3. The method of claim 1, wherein if the user annotation information is analyzed and determined to be abnormal information, identifying a decreasing level value for the user according to a second rule comprises:
if the user marking information is analyzed and determined to be abnormal information, determining the data type of the data to be processed;
if the data to be processed is determined to be of the first data type, reducing the grade value for the user identifier according to a third value indicated in the second rule;
and if the data to be processed is determined to be of the second data type, reducing the grade value for the user identifier according to a fourth value indicated in the second rule, wherein the fourth value is different from the third value.
4. The method according to any one of claims 1-3, further comprising:
and when the current grade value of the user identifier is within a preset value range, increasing the grade value of the user identifier according to a third rule.
5. The method of claim 1,
if the user labeling information is analyzed and determined to be compliance information, increasing a grade value for the user identifier according to a first rule, including:
if the user marking information is analyzed and determined to be compliance information, judging whether the current grade value of the user identification is larger than a second preset threshold value or not;
if so, increasing a grade numerical value for the user identifier according to a fifth numerical value indicated by the first rule, otherwise, increasing a grade numerical value for the user identifier according to a sixth numerical value indicated by the first rule;
if the user labeling information is analyzed and determined to be abnormal information, reducing the grade value for the user identifier according to a second rule, including:
if the user marking information is analyzed and determined to be abnormal information, judging whether the current grade value of the user identification is larger than the second preset threshold value or not;
if so, reducing the grade numerical value for the user identifier according to a seventh numerical value indicated by the second rule, otherwise, reducing the grade numerical value for the user identifier according to an eighth numerical value indicated by the second rule.
6. A data processing apparatus, comprising:
the release module is used for releasing the data to be processed on the task release interface;
the receiving module is used for receiving user marking information of the data to be processed, and the user marking information is associated with a user identifier; the user annotation information refers to label information set for the data to be processed, or refers to annotation information for correcting the data to be processed, or refers to annotation information for reviewing the data to be processed;
the analysis module is used for searching the standard marking information of the data to be processed from a preset database when the data to be processed is of a first data type; when the data to be processed is of a second data type, obtaining labeling information which is reported by a plurality of terminals and is obtained by labeling the data to be processed, and determining standard labeling information of the data to be processed according to the obtained labeling information;
the analysis module is further used for comparing the user labeling information with the standard labeling information; when the matching degree of the user labeling information and the standard labeling information is larger than or equal to a first preset threshold value, determining the user labeling information as compliance information, otherwise, determining the user labeling information as abnormal information; the first preset threshold is set according to the data type or the importance level of the data to be processed, the first preset threshold corresponding to the test data is lower than the first preset threshold corresponding to the formal data, or the first preset threshold is larger as the importance level is higher;
the management module is used for increasing a grade value for the user identifier according to a first rule if the user marking information is analyzed and determined to be compliance information; if the user marking information is analyzed and determined to be abnormal information, reducing a grade value for the user identification according to a second rule;
the first rule and/or the second rule are set according to the data type of the data to be processed, and the first rule and/or the second rule corresponding to different data types are different.
7. The apparatus of claim 6,
the management module is specifically configured to determine a data type of the to-be-processed data if the user annotation information is analyzed and determined to be compliance information; if the data to be processed is determined to be of the first data type, increasing a grade numerical value for the user identifier according to a first numerical value indicated in the first rule; and if the data to be processed is determined to be of a second data type, increasing a grade numerical value for the user identifier according to a second numerical value indicated in the first rule, wherein the second numerical value is different from the first numerical value.
8. The apparatus of claim 6,
the management module is specifically configured to determine a data type of the to-be-processed data if the user annotation information is analyzed and determined to be abnormal information; if the data to be processed is determined to be of the first data type, reducing the grade value for the user identifier according to a third value indicated in the second rule; and if the data to be processed is determined to be of the second data type, reducing the grade value for the user identifier according to a fourth value indicated in the second rule, wherein the fourth value is different from the third value.
9. The apparatus according to any one of claims 6 to 8,
the management module is further configured to increase the level numerical value of the user identifier according to a third rule when the current level numerical value of the user identifier is within a preset numerical value range.
10. The apparatus of claim 6,
the device further comprises:
the judging module is used for judging whether the current grade value of the user identifier is greater than a second preset threshold value or not if the user marking information is analyzed and determined to be the compliance information;
the management module is specifically configured to, when the current level numerical value of the user identifier is greater than the second preset threshold, add a level numerical value to the user identifier according to a fifth numerical value indicated by the first rule, and otherwise, add a level numerical value to the user identifier according to a sixth numerical value indicated by the first rule;
the judging module is further configured to judge whether the current level value of the user identifier is greater than the second preset threshold value if the user tagging information is analyzed and determined to be abnormal information;
the management module is specifically configured to reduce the level value for the user identifier according to a seventh value indicated by the second rule when the current level value of the user identifier is greater than the second preset threshold, and otherwise, reduce the level value for the user identifier according to an eighth value indicated by the second rule.
11. A server, comprising: a processor, a memory and instructions stored on the memory and executable by the processor, the processor executing the instructions to implement the data processing method of any one of claims 1 to 5.
12. A computer-readable storage medium, on which a computer program is stored, which program, when executed by a processor, is to carry out the data processing method of any one of claims 1 to 5.
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