CN114693358A

CN114693358A - Data processing method and device, electronic equipment and storage medium

Info

Publication number: CN114693358A
Application number: CN202210335748.1A
Authority: CN
Inventors: 王勇; 丁欢; 陈礼蓉; 雷兵
Original assignee: China Construction Bank Corp
Current assignee: China Construction Bank Corp
Priority date: 2022-03-30
Filing date: 2022-03-30
Publication date: 2022-07-01

Abstract

The present disclosure provides a data processing method, which can be applied to the technical field of computers. The data processing method comprises the following steps: determining a service identifier and a first virtual value according to a first service record, wherein the first service record comprises a first user identifier; determining a target processing rule associated with the service identification based on the at least one processing rule; determining a second virtual value according to the target processing rule and the first virtual value; and under the condition that the second virtual value is determined to pass the verification, determining the second virtual value as a target virtual value corresponding to the first user identification. The present disclosure also provides a data processing apparatus, a device, a storage medium, and a program product.

Description

Data processing method and device, electronic equipment and storage medium

Technical Field

The present disclosure relates to the field of computer technologies, and in particular, to a data processing method, an apparatus, an electronic device, a storage medium, and a program product.

Background

After a virtual item, such as an electronic coupon, is used, a cost liquidation needs to be performed for the coupon, determining issuer costs, merchant costs, and consumer costs. Currently, in cost clearing a coupon that has been consumed, it is first determined online that the coupon has been used, and issuer costs are determined in accordance with clearing rules. Further, the account balance of the issuer and the account balance of the merchant are updated offline in accordance with the issuer cost. With current methods, cost liquidation and account balance updating cannot be done on-line at the same time. In addition, when the coupon which has completed the clearing is returned, the re-clearing is required manually, the cost clearing and the account balance updating cannot be automatically completed on line. Moreover, the clearing rule is a fixed proportion, which cannot be modified in real time according to actual conditions.

Disclosure of Invention

In view of the foregoing, the present disclosure provides a data processing method, apparatus, electronic device, storage medium, and program product that improve processing efficiency.

According to a first aspect of the present disclosure, there is provided a data processing method including: determining a service identifier and a first virtual value according to a first service record, wherein the first service record comprises a first user identifier; determining a target processing rule associated with the service identification based on at least one processing rule; determining a second virtual value according to the target processing rule and the first virtual value; and under the condition that the second virtual value is determined to pass the verification, determining the second virtual value as a target virtual value corresponding to the first user identifier.

According to an embodiment of the present disclosure, the determining, based on the at least one processing rule, a target processing rule associated with the service identifier includes: in the case that it is determined that there is a processing rule associated with the service identifier in the at least one processing rule, taking the associated processing rule as the target processing rule; and taking a preset processing rule as the target processing rule under the condition that the target processing rule associated with the service identifier does not exist in the at least one processing rule.

According to an embodiment of the present disclosure, in a case that it is determined that there is no target processing rule associated with the service identifier in the at least one processing rule, the determining a second virtual value according to the target processing rule and the first virtual value includes: acquiring a preset proportion contained in the target processing rule; and determining a second virtual value according to the preset proportion and the first virtual value.

According to an embodiment of the present disclosure, the determining a second virtual value according to the target processing rule and the first virtual value includes: acquiring a second user identifier included in the first service record; determining at least one second service record associated with the second subscriber identity in a historical service record; calculating the number of the at least one second service record to obtain a first numerical value; determining a third numerical value according to the first numerical value and the second numerical value; and determining a second virtual value according to a sub-target processing rule, the third numerical value and the first virtual value, wherein the target processing rule comprises the second numerical value and the sub-target processing rule.

According to an embodiment of the present disclosure, the determining a second virtual value according to the sub-target processing rule, the third numerical value, and the first virtual value includes: determining a first pre-virtual value according to the sub-target processing rule and the third numerical value; and calculating the first virtual value minus the first pre-virtual value to obtain a second virtual value.

According to an embodiment of the present disclosure, the sub-target processing rule includes: a third virtual value, a fourth virtual value, a fifth virtual value and

y(t)＝min{y₁(t)，y₂(t)}

y₁(t)＝max{(j-A)，v}

y₂(t)＝max(q_t，v)

wherein t is a timestamp included in the first service record, y (t) is a first pre-dummy value, j is a third dummy value, A is a third value, v is a fourth dummy value, q is a first value_tIs a fifth virtual value.

According to an embodiment of the present disclosure, in a case that it is determined that the second virtual value passes the verification, the determining that the second virtual value is a target virtual value corresponding to the first subscriber identity includes: determining a first virtual resource pool identifier associated with the first user identifier from a plurality of virtual resource pool identifiers; determining whether a first pre-stored virtual value corresponding to the first virtual resource pool identifier is greater than or equal to the second virtual value; and under the condition that the first pre-stored virtual value is determined to be larger than or equal to the second virtual value, determining the second virtual value as a target virtual value corresponding to the first user identifier.

According to an embodiment of the present disclosure, the data processing method further includes: determining a second virtual resource pool identifier associated with the second user identifier from the plurality of virtual resource pool identifiers; and updating the first pre-stored virtual value and the second pre-stored virtual value according to the first pre-stored virtual value, a second pre-stored virtual value corresponding to the second virtual resource library identifier and the target virtual value.

Another aspect of the present disclosure provides a data processing apparatus including: the first determining module is used for determining a service identifier and a first virtual value according to a first service record, wherein the first service record comprises a first user identifier; a matching module for determining a target processing rule associated with the service identifier based on at least one processing rule; a second determining module, configured to determine a second virtual value according to the target processing rule and the first virtual value; and a third determining module, configured to determine, when it is determined that the second virtual value passes the verification, that the second virtual value is a target virtual value corresponding to the first subscriber identity.

Another aspect of the present disclosure provides an electronic device including: one or more processors; a memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the above-described data processing method.

A second aspect of the present disclosure also provides a computer-readable storage medium having stored thereon executable instructions, which when executed by a processor, cause the processor to perform the above-mentioned data processing method.

Another aspect of the present disclosure also provides a computer program product comprising a computer program which, when executed by a processor, implements the above-described data processing method.

And determining a target processing rule according to the service identification. And according to the target processing rule, carrying out cost clearing on the coupon, and determining a target virtual value corresponding to the first user identifier. And updating a first virtual resource library corresponding to the first user identifier and a second virtual resource library corresponding to the second user identifier according to the target virtual value. The method realizes the on-line automatic and quick completion of cost liquidation and account balance updating under the condition that the coupons are consumed and returned. In addition, the method for determining the target processing rule and the target processing rule can modify the clearing proportion in real time, improve the clearing efficiency of the coupon and save resources.

Drawings

The foregoing and other objects, features and advantages of the disclosure will be apparent from the following description of embodiments of the disclosure, which proceeds with reference to the accompanying drawings, in which:

FIG. 1 schematically illustrates an application scenario diagram of a data processing method, apparatus, device, medium and program product according to embodiments of the disclosure;

FIG. 2 schematically shows a flow chart of a data processing method according to an embodiment of the present disclosure;

FIG. 3 schematically shows a flow chart of a data processing method according to another embodiment of the present disclosure;

FIG. 4 schematically illustrates a schematic diagram of a method of determining a target virtual value according to an embodiment of the present disclosure;

FIG. 5 schematically illustrates a schematic diagram of a method of updating pre-stored virtual values according to an embodiment of the present disclosure;

FIG. 6 schematically shows a block diagram of a data processing apparatus according to an embodiment of the present disclosure; and

fig. 7 schematically shows a block diagram of an electronic device adapted to implement a data processing method according to an embodiment of the present disclosure.

Detailed Description

Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that these descriptions are illustrative only and are not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.

All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.

Where a convention analogous to "at least one of A, B and C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B and C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).

In the technical scheme of the disclosure, the processing of data and user personal information such as acquisition, collection, storage, use, processing, transmission, provision, disclosure and application are all in accordance with the regulations of relevant laws and regulations, necessary confidentiality measures are taken, and the public order and good custom are not violated.

Embodiments of the present disclosure provide a data processing method that determines a service identifier and a first virtual value based on a first service-hexyl record, the first service record including a first user identifier; determining a target processing rule associated with the service identification based on the at least one processing rule; determining a second virtual value according to the target processing rule and the first virtual value; and under the condition that the second virtual value is determined to pass the verification, determining the second virtual value as a target virtual value corresponding to the first user identification.

Fig. 1 schematically shows an application scenario of data processing according to an embodiment of the present disclosure.

As shown in fig. 1, the application scenario 100 according to this embodiment may include

terminal devices

101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the

terminal devices

101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.

The user may use the

terminal devices

101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The

terminal devices

101, 102, 103 may have installed thereon various communication client applications, such as shopping-like applications, web browser applications, search-like applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only).

The

terminal devices

101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.

The server 105 may be a server providing various services, such as a background management server (for example only) providing support for websites browsed by users using the

terminal devices

101, 102, 103. The background management server may analyze and perform other processing on the received data such as the user request, and feed back a processing result (e.g., a webpage, information, or data obtained or generated according to the user request) to the terminal device.

It should be noted that the data processing method provided by the embodiment of the present disclosure may be generally executed by the server 105. Accordingly, the data processing apparatus provided by the embodiments of the present disclosure may be generally disposed in the server 105. The data processing method provided by the embodiment of the present disclosure may also be executed by a server or a server cluster different from the server 105 and capable of communicating with the

terminal devices

101, 102, 103 and/or the server 105. Accordingly, the data processing apparatus provided by the embodiment of the present disclosure may also be disposed in a server or a server cluster different from the server 105 and capable of communicating with the

terminal devices

101, 102, 103 and/or the server 105.

It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

The data processing method of the disclosed embodiment will be described in detail below with fig. 2 to 5 based on the scenario described in fig. 1.

Fig. 2 schematically shows a flow chart of a data processing method according to an embodiment of the present disclosure.

As shown in fig. 2, the embodiment 200 includes operations S210 to S240, and the data processing method may be performed by a server.

In operation S210, a service identity and a first virtual value are determined according to a first service record, the first service record including a first user identity.

According to an embodiment of the present disclosure, historical service records are monitored in real time. In one example, the historical service record includes a coupon usage record, e.g., a coupon consumed record and a coupon returned record. And under the condition that the historical service records meet the preset conditions, acquiring a first service record in the historical service records. The predetermined condition may include, for example, monitoring that a number of coupon usage records and unprocessed coupon usage records stored in the database exceeds a threshold. And under the condition that the preset condition is that the coupon use record stored in the database is monitored, taking the coupon use record stored in the database as a first service record.

The first service record comprises a service cost virtual value, a service identification, a first user identification and a second user cost virtual value. The virtual value of service cost may include, for example, a coupon amount, such as the coupon "full 300-20," and the virtual value of service cost is 20. If the consumer purchases the coupon of the 100 virtual resources by using the 50 virtual resources, the service cost virtual value of the coupon of the 100 virtual resources is 100. The service identification may comprise, for example, an identification of a coupon. The first user identification characterizes an identification of a user who issued the coupon. The second user cost virtual value characterizes the virtual resource that the consumer needs to spend to obtain the coupon. The first service record, as shown in Table 1 below, is characterized by the fact that the first user DID _36 issues a coupon "full 300-20" to the consumer, the coupon is identified as ID _123456, and the virtual value of the consumer's cost is 0. Based on this table 1, it is determined that the service identification is ID _123456, the service cost virtual value is 20, the first user identification is DID _36, and the second user cost virtual value is 0.

TABLE 1

Coupon identification	Coupon	Publishing user	Cost to the consumer
				ID_123456	300-20 parts of	DID_36	0

The first virtual value includes a value determined from the service cost virtual value and the second user cost virtual value, and may be, for example, a difference between the service cost virtual value and the second user cost virtual value. As shown in table 1, if the service cost virtual value is 20 and the second user cost virtual value is 0, the first virtual value is 20. If the consumer purchases the coupon for the 100 virtual resource using the 50 virtual resource, the service cost virtual value is determined to be 100, and the second user cost virtual value is determined to be 50, then the first virtual value is 50.

In operation S220, a target processing rule associated with the service identification is determined based on the at least one processing rule.

According to the embodiment of the present disclosure, a processing rule is provisioned in advance for each service identity. And comparing the determined service identification with the service identification associated with at least one processing rule, determining the associated service identification consistent with the service identification, and determining the processing rule corresponding to the associated service identification as a target processing rule.

According to another embodiment of the present disclosure, in a case where it is determined that there is a processing rule associated with the service identifier in the at least one processing rule, the associated processing rule is taken as a target processing rule; and taking the preset processing rule as the target processing rule under the condition that the target processing rule associated with the service identifier does not exist in the at least one processing rule.

The preset processing rules comprise a first preset processing rule and a second preset processing rule. The first preset processing rule includes a preset proportion, and the second preset processing rule includes any one of the processing rules. For example, in the case that it is determined that there is no target processing rule associated with the service identifier in the at least one processing rule, one processing rule is randomly selected as the target processing rule.

In operation S230, a second virtual value is determined according to the target processing rule and the first virtual value.

According to the embodiment of the disclosure, under the condition that it is determined that a target processing rule associated with a service identifier does not exist in at least one processing rule and a first preset processing rule is determined as the target processing rule, a preset proportion contained in the target processing rule is obtained; and determining a second virtual value according to the preset proportion and the first virtual value.

Determining the second virtual value based on the preset ratio and the first virtual value may include, for example, calculating a product of the preset ratio and the first virtual value to obtain the second virtual value.

For example, the first virtual value is 20% and the preset ratio is 40%, the product of the first virtual value and the preset ratio is calculated to obtain 8, and 8 is determined to be the second virtual value.

According to another embodiment of the present disclosure, a second user identifier included in the first service record is obtained; determining at least one second service record associated with the second user identification in the historical service record; calculating the number of at least one second service record to obtain a first numerical value; determining a third value according to the first value and the second value; and determining a second virtual value according to the sub-target processing rule, the third numerical value and the first virtual value, wherein the target processing rule comprises the second numerical value and the sub-target processing rule. The target sub-processing rule may be, for example, a function of the merchant's cost virtual value and time. The second user identification characterizes an identification of the merchant.

Determining the second virtual value according to the sub-target processing rule, the third numerical value, and the first virtual value includes: determining a first pre-virtual value according to the sub-target processing rule and the third numerical value; and calculating the first virtual value minus the first pre-virtual value to obtain a second virtual value.

And in the historical service records, the identifications of the merchants included in each service record are extracted to obtain the identifications of a plurality of merchants. And comparing the identifications of the multiple merchants with the second user identification, determining the number of the identifications of the merchants consistent with the second user identification in the identifications of the multiple merchants, and recording as a first numerical value.

Determining the third value based on the first value and the second value comprises the following equation:

wherein A is a third value, Q is a first value, U is a second value, and e is an updated virtual value. The second value may, for example, characterize a coupon quantity threshold, and updating the virtual value may, for example, include decrementing the virtual value and decrementing the scale.

For example, if the second user id is UID _10, the second numerical value is 300, the updated virtual value is 1, and 600 service records including UID _10 in the history service record are included, the first numerical value is recorded as 600. A third value of 2 may be calculated.

In the case of updating the virtual value to a decreasing virtual value, the sub-goal processing rules may include: a third virtual value, a fourth virtual value, a fifth virtual value and

y(t)＝min{y₁(t)，y₂(t)}

y₁(t)＝max{(j-A)，v}

y₂(t)＝max(q_t，v)

wherein t is a timestamp included in the first service record, y (t) is a first pre-dummy value, j is a third dummy value, A is a third value, v is a fourth dummy value, q is a first value_tIs a fifth virtual value. The third virtual value may, for example, characterize a fixed cost virtual value for the merchant, the fourth virtual value may, for example, characterize a cost virtual value threshold for the merchant, and the fifth virtual value may, for example, characterize a cost virtual value threshold for the merchant over a predetermined time interval.

For example, the third virtual value is 10, the fourth virtual value is 6, and the fifth virtual value is 8 from 18 days 3/2010 to 23 days 3/2010. The time of the first service record is 3/20/2010, and the third value is 2, i.e. the first pre-virtual value obtained by the sub-target processing rule is 8. The first virtual value is 20 and the first pre-virtual value is 8, i.e. the second virtual value is determined to be 12.

The third virtual value may also be determined, for example, by the following equation:

j＝M×h

where M may be, for example, a first virtual value, and h may be, for example, an arbitrary proportional value.

It is noted that in the case of updating the virtual values to a decreasing scale, the sub-target processing rules include a third virtual value, a fourth virtual value, a fifth virtual value, and

y(t)＝min{y₁(t)，y₂(t)}

y₁(t)＝max((j×(1-A))，v}

y₂(t)＝max(q_t，v)

for example, the third virtual value is 10, the fourth virtual value is 6, and the fifth virtual value is 8 and the updated virtual value is 20% at 18/2010 to 23/3/year. The second user identifier is UID _10, the second numerical value is 300, the updated virtual value is 20%, and the third numerical value is 0.4 calculated when 600 service records including UID _10 are included in the history service record. Based on the third value being 0.4, the first pre-dummy value may be determined to be 6.

According to another embodiment of the present disclosure, in a case that the updated virtual value is a decreasing proportion, after the first pre-virtual value is determined according to the sub-target processing rule and the third numerical value, obtaining the second threshold value includes the following formula:

Y＝M×(1-y(t))

wherein Y is a second threshold, M is a first virtual value, and Y (t) is a first pre-virtual value.

Wherein, the sub-target processing rules may further include: a sixth virtual value, a seventh virtual value, an eighth virtual value, and

y(t)＝min{y₁(t)，y₂(t)}

y₁(t)＝max((k×(1-A))，g}

y₂(t)＝max(p_t，g)

wherein t is a timestamp included in the first service record, y (t) is a first pre-dummy value, k is a sixth dummy value, A is a third value, g is a seventh dummy value, p_tIs the eighth virtual value. The sixth virtual value represents a fixed cost proportion of the merchant, the seventh virtual value represents a cost proportion threshold of the merchant, and the eighth virtual value represents a cost proportion threshold of the merchant within a predetermined time period.

For example, the sixth virtual value is 60%, the seventh virtual value is 20%, the eighth virtual value is 30% and the updated virtual value is 20% on 18/2010-3 to 23/3. The second user identifier is UID _10, the second numerical value is 300, and the third numerical value can be calculated to be 0.4 under the condition that 600 service records including UID _10 are included in the historical service record. Based on the sub-goal processing rules described above, the first pre-virtual value may be determined to be 0.2. In the case where the first preliminary virtual value is 0.2 and the first virtual value is 20, the second virtual value is 16.

In operation S240, in case that it is determined that the second virtual value is verified, it is determined that the second virtual value is a target virtual value corresponding to the first subscriber identity.

According to the embodiment of the disclosure, the type of the first service record is judged, the validation rule is determined according to the type of the first service record, and the second virtual value is validated according to the validation rule and the target virtual value. And under the condition that the second virtual value is determined to pass the verification, determining the second virtual value as a target virtual value corresponding to the first user identification. The types of the first service record include a first type and a second type, the first type characterizing that the coupon has been consumed, the second type characterizing that the coupon has been returned.

According to another embodiment of the present disclosure, in a case that the type of the first service record is a first type, determining, among the plurality of virtual resource pool identifiers, a first virtual resource pool identifier associated with the first user identifier; determining whether a first pre-stored virtual value corresponding to the first virtual resource library identifier is greater than or equal to a second virtual value; and under the condition that the first pre-stored virtual value is determined to be larger than or equal to the second virtual value, determining the second virtual value as a target virtual value corresponding to the first user identifier. The first pool of virtual resources characterizes the account of the user who issued the coupon (the first user). The first pre-stored virtual value characterizes a balance of a user account issuing the coupon.

For example, the first subscriber identity is DID _36, the first pre-stored virtual value in the first virtual resource pool corresponding to the first subscriber identity is 300, and the second virtual value is determined to be 12 in operation S230. The second virtual value is smaller than the first pre-stored virtual value, and the target virtual value corresponding to DID _36 is determined to be 12.

According to another embodiment of the present disclosure, in a case that the type of the first service record is a second type, determining, in the plurality of virtual resource pool identifiers, a second virtual resource pool identifier associated with a second user identifier; determining whether a second pre-stored virtual value corresponding to the second virtual resource library identifier is greater than or equal to a second virtual value; and under the condition that the second pre-stored virtual value is determined to be larger than or equal to the second virtual value, determining the second virtual value as a target virtual value corresponding to the first user identifier. The second virtual resource pool characterizes an account of the merchant (second user). The second pre-stored virtual value represents a balance of the merchant account.

Fig. 3 schematically shows a flow diagram of data processing according to another embodiment of the present disclosure.

As shown in fig. 3, the embodiment 300 includes operations S330 to S352, and the data processing method may be performed by a server. It should be noted that the present embodiment shows a case where the type of the first service record is the first type.

In operation S330, a second virtual value is determined according to the target processing rule and the first virtual value.

According to the embodiment of the present disclosure, the operation S330 may determine the second virtual value according to the target processing rule and the first virtual value by a method similar to the method described in the foregoing operation S230. And will not be described in detail herein.

In operation S341, a first virtual resource pool identifier associated with the first user identifier is determined among the plurality of virtual resource pool identifiers.

According to the embodiment of the disclosure, each virtual resource pool has a virtual resource pool identifier corresponding to the virtual resource pool one to one. Each virtual resource base identification has a user identification corresponding to the virtual resource base identification one by one. And according to the first user identification, determining that the virtual resource library identification associated with the first user identification is the first virtual resource library identification.

In operation S342, is the first virtual repository identify whether the corresponding first pre-stored virtual value is greater than or equal to the second virtual value?

In operation S343, the second virtual value is determined to be a target virtual value corresponding to the first subscriber identity.

According to the embodiment of the present disclosure, after determining the first virtual repository identifier, a first pre-stored virtual value corresponding to the first virtual repository identifier is obtained, and operation S342 is performed to determine whether the first pre-stored virtual value is greater than or equal to a second virtual value? In a case where it is determined that the first pre-stored virtual value is greater than or equal to the second virtual value, operation S343 is performed, and the second virtual value is determined to be a target virtual value corresponding to the first subscriber identity. In case that it is determined that the first pre-stored dummy value is smaller than the second dummy value, operation S330 is performed to determine the second dummy value according to the target processing rule and the first dummy value.

In operation S351, a second virtual resource pool identifier associated with the second user identifier is determined among the plurality of virtual resource pool identifiers.

According to the embodiment of the disclosure, in the plurality of virtual resource library identifications stored in the database, the corresponding second virtual resource library identification is matched based on the second user identification.

According to another embodiment of the present disclosure, the virtual resource pool identifiers may be further classified into a first type of virtual resource pool identifier and a second type of virtual resource pool identifier, for example. The first type of virtual resource pool identification is associated with the first user identification and with at least one second type of virtual resource pool identification. The second type of virtual resource pool identification is associated with the second user identification and is associated with the first type of virtual resource pool identification.

And determining at least one second type virtual resource library identifier associated with the first virtual resource library identifier according to the first virtual resource library identifier. And determining a second virtual resource base identification associated with the second user identification in the at least one second type virtual resource base identification.

In operation S352, the first pre-stored virtual value and the second pre-stored virtual value are updated according to the first pre-stored virtual value, the second pre-stored virtual value corresponding to the second virtual resource pool identifier, and the target virtual value.

For example, it is determined that the target virtual value is 12, the first pre-stored virtual value is 205, and the second pre-stored virtual value is 643. The target virtual value is subtracted from the first pre-stored virtual value to obtain the target first pre-stored virtual value 193. The difference between the second pre-stored virtual value and the target virtual value is calculated to obtain a target second pre-stored virtual value 655.

FIG. 4 schematically illustrates a schematic diagram of a method of determining a target virtual value according to an embodiment of the present disclosure. The determine target virtual value method 400 may be performed by a server.

When the coupon state change information is monitored, a first service record 401 corresponding to the coupon state change information is acquired, based on the first service record, operation S210 is performed, and a first virtual value 402 and a service identifier are determined.

And determining whether a processing rule associated with the service identification exists in the at least one processing rule according to the determined service identification. In the case where it is determined that there is a processing rule associated with the service identification among the at least one processing rule, the associated processing rule 413 is determined to be a target processing rule. In the event that it is determined that there is no processing rule associated with the service identification in the at least one processing rule, a current timestamp is obtained. The current timestamp is compared with at least one preset time period, and the second preset processing rule 412 is determined as the target processing rule when the current timestamp is determined to be within the preset time period. In the case where it is determined that the current timestamp is not within the preset time period, the first preset processing rule 411 is determined as the target processing rule. For example, the preset time period may include, for example, spring festival and 11-month 10 to 11-month 12, and the like. For example, if the current timestamp is 11 months and 11 days, the second preset processing rule 412 is determined as the target processing rule within the preset time period.

Based on the target processing rule and the first virtual value 402, operation 230 is performed, determining a second virtual value 421. Further, the second dummy value 421 is verified, and when the second dummy value 421 passes the verification, the second dummy value 421 is determined to be the target dummy value 422.

It will be appreciated by those skilled in the art that the above embodiments are merely examples, and the number of specific first service records and target virtual values in the present disclosure is not limited thereto.

Fig. 5 schematically illustrates a schematic diagram of a method of updating pre-stored virtual values according to an embodiment of the present disclosure. The update pre-stored virtual values method 500 may be performed by a server.

According to the first service record 501, a first user identifier 511 and a second user identifier 521 included in the first service record 501 are obtained. For the first ue 511, according to the first ue 511, a virtual repository identifier associated with the first ue 511 is determined, and the associated virtual repository identifier is determined as the first virtual repository identifier 512. And further determines a first pre-stored virtual value 513 corresponding to the virtual resource pool according to the first virtual resource pool identifier 512. In a similar way for the second user identity 521, a second virtual resource pool identity 522 and a second pre-stored virtual value 523 are determined.

Based on the method of determining a target virtual value as shown in fig. 4, a target virtual value 502 is obtained. The type of the first service record 501 is determined, and an update rule is determined according to the type. Based on the update rule, the target virtual value 502, the first pre-stored virtual value 513 and the second pre-stored virtual value 523, a target first pre-stored virtual value 514 and a target second pre-stored virtual value 524 are obtained.

For example, in case the type of the first service record 501 is the first type, the updating rule comprises calculating a difference between the first pre-stored virtual value 513 and the target virtual value 502, resulting in the target first pre-stored virtual value 514. The sum of the second pre-stored virtual value 523 and the target virtual value 502 is calculated to obtain a target second pre-stored virtual value 524. In case the type of the first service record 501 is of the second type, the updating rule comprises calculating a sum of the first pre-stored virtual value 513 and the target virtual value 502 to obtain the target first pre-stored virtual value 514. The difference between the second pre-stored virtual value 523 and the target virtual value 502 is calculated to obtain a target second pre-stored virtual value 524.

In the case that the type of the first service record 501 is the first type, based on the target first pre-stored virtual value 514, the virtual resources in the first virtual resource pool corresponding to the first virtual resource pool identifier 512 are reduced to be consistent with the target first pre-stored virtual value 514. Based on the target second pre-stored virtual value 524, the virtual resources in the second virtual resource pool corresponding to the second virtual resource pool identity 522 are increased to be consistent with the target second pre-stored virtual value 524.

In case the type of the first service record 501 is the second type, based on the target first pre-stored virtual value 514, the virtual resources in the first virtual resource pool corresponding to the first virtual resource pool identifier 512 are increased to be consistent with the target first pre-stored virtual value 514. Based on the target second pre-stored dummy value 524, the dummy resources in the second virtual resource pool corresponding to the second virtual resource pool identifier 522 are reduced to be consistent with the target second pre-stored dummy value 524.

Based on the data processing method, the disclosure also provides a data processing device. The apparatus will be described in detail below with reference to fig. 6.

Fig. 6 schematically shows a block diagram of a data processing apparatus according to an embodiment of the present disclosure.

As shown in fig. 6, the data processing apparatus 600 of this embodiment includes a first determining module 610, a matching module 620, a second determining module 630, and a third determining module 640.

The first determining module 610 is configured to determine a service identifier and a first virtual value according to a first service record, where the first service record includes a first user identifier. In an embodiment, the first determining module 610 may be configured to perform the operation S210 described above, and is not described herein again.

The matching module 620 is configured to determine a target processing rule associated with the service identification based on the at least one processing rule. In an embodiment, the matching module 620 may be configured to perform the operation S220 described above, which is not described herein again.

According to the embodiment of the present disclosure, the matching module 620 is further configured to, in a case that it is determined that there is a processing rule associated with the service identifier in the at least one processing rule, take the associated processing rule as a target processing rule; and taking the preset processing rule as the target processing rule under the condition that the target processing rule associated with the service identifier does not exist in the at least one processing rule.

The second determining module 630 is used for determining a second virtual value according to the target processing rule and the first virtual value. In an embodiment, the second determining module 630 may be configured to perform the operation S230 described above, which is not described herein again.

According to the embodiment of the present disclosure, in a case that it is determined that there is no target processing rule associated with the service identifier in the at least one processing rule, the second determining module 630 is further configured to obtain a preset proportion included in the target processing rule; and determining a second virtual value according to the preset proportion and the first virtual value.

According to the embodiment of the present disclosure, the second determining module 630 is further configured to obtain a second user identifier included in the first service record; determining at least one second service record associated with the second user identification in the historical service record; calculating the number of at least one second service record to obtain a first numerical value; determining a third value according to the first value and the second value; and determining a second virtual value according to the sub-target processing rule, the third numerical value and the first virtual value, wherein the target processing rule comprises the second numerical value and the sub-target processing rule.

According to the embodiment of the present disclosure, the second determining module 630 is further configured to determine a first pre-virtual value according to the sub-target processing rule and the third numerical value; and calculating the first virtual value minus the first pre-virtual value to obtain a second virtual value.

y(t)＝min{y₁(t)，y₂(t)}

y₁(t)＝max{(j-A)，v}

y₂(t)＝max(q_t，v)

wherein t is a timestamp included in the first service record, y (t) is a first pre-dummy value, j is a third dummy value, A is a third value, v is a fourth dummy value, q_tIs a fifth virtual value.

The third determining module 640 is configured to determine the second virtual value as a target virtual value corresponding to the first subscriber identity if it is determined that the second virtual value is verified. In an embodiment, the third determining module 640 may be configured to perform the operation S240 described above, and is not described herein again.

According to the embodiment of the present disclosure, the third determining module 640 is further configured to determine, from the plurality of virtual resource pool identifiers, a first virtual resource pool identifier associated with the first user identifier; determining whether a first pre-stored virtual value corresponding to the first virtual resource library identifier is greater than or equal to a second virtual value; and under the condition that the first pre-stored virtual value is determined to be larger than or equal to the second virtual value, determining the second virtual value as a target virtual value corresponding to the first user identifier.

According to an embodiment of the present disclosure, the data processing apparatus of this embodiment further includes a fourth determining module and an updating module.

And the fourth determining module is used for determining a second virtual resource library identifier associated with the second user identifier in the plurality of virtual resource library identifiers. In an embodiment, the fourth determining module may be configured to perform the operation S351 described above, and is not described herein again.

And the updating module is used for updating the first pre-stored virtual value and the second pre-stored virtual value according to the first pre-stored virtual value, the second pre-stored virtual value corresponding to the second virtual resource library identifier and the target virtual value.

According to an embodiment of the present disclosure, any plurality of the first determining module 610, the matching module 620, the second determining module 630, and the third determining module 640 may be combined and implemented in one module, or any one of them may be split into a plurality of modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of the other modules and implemented in one module. According to an embodiment of the present disclosure, at least one of the first determining module 610, the matching module 620, the second determining module 630, and the third determining module 640 may be implemented at least partially as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in hardware or firmware in any other reasonable manner of integrating or packaging a circuit, or in any one of three implementations of software, hardware, and firmware, or in any suitable combination of any of them. Alternatively, at least one of the first determining module 610, the matching module 620, the second determining module 630 and the third determining module 640 may be at least partially implemented as a computer program module, which when executed may perform a corresponding function.

As shown in fig. 7, an electronic device 700 according to an embodiment of the present disclosure includes a processor 701, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)702 or a program loaded from a storage section 708 into a Random Access Memory (RAM) 703. The processor 701 may include, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or associated chipset, and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), among others. The processor 701 may also include on-board memory for caching purposes. The processor 701 may comprise a single processing unit or a plurality of processing units for performing the different actions of the method flows according to embodiments of the present disclosure.

In the RAM703, various programs and data necessary for the operation of the electronic apparatus 700 are stored. The processor 701, the ROM702, and the RAM703 are connected to each other by a bus 704. The processor 701 performs various operations of the method flows according to the embodiments of the present disclosure by executing programs in the ROM702 and/or the RAM 703. Note that the programs may also be stored in one or more memories other than the ROM702 and the RAM 703. The processor 701 may also perform various operations of method flows according to embodiments of the present disclosure by executing programs stored in the one or more memories.

Electronic device 700 may also include input/output (I/O) interface 705, which input/output (I/O) interface 705 is also connected to bus 704, according to an embodiment of the present disclosure. The electronic device 700 may also include one or more of the following components connected to the I/O interface 705: an input portion 706 including a keyboard, a mouse, and the like; an output section 707 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 708 including a hard disk and the like; and a communication section 709 including a network interface card such as a LAN card, a modem, or the like. The communication section 709 performs communication processing via a network such as the internet. A drive 710 is also connected to the I/O interface 705 as needed. A removable medium 711 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 710 as necessary, so that a computer program read out therefrom is mounted into the storage section 708 as necessary.

The present disclosure also provides a computer-readable storage medium, which may be contained in the apparatus/device/system described in the above embodiments; or may exist separately and not be assembled into the device/apparatus/system. The computer-readable storage medium carries one or more programs which, when executed, implement the method according to an embodiment of the disclosure.

According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example but is not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. For example, according to an embodiment of the present disclosure, a computer-readable storage medium may include the above-described ROM702 and/or RAM703 and/or one or more memories other than the ROM702 and RAM 703.

Embodiments of the present disclosure also include a computer program product comprising a computer program containing program code for performing the method illustrated in the flow chart. When the computer program product runs in a computer system, the program code is used for causing the computer system to realize the item recommendation method provided by the embodiment of the disclosure.

The computer program performs the above-described functions defined in the system/apparatus of the embodiments of the present disclosure when executed by the processor 701. The systems, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.

In one embodiment, the computer program may be hosted on a tangible storage medium such as an optical storage device, a magnetic storage device, or the like. In another embodiment, the computer program may also be transmitted in the form of a signal over a network medium, distributed, and downloaded and installed via the communication section 709, and/or installed from the removable medium 711. The computer program containing program code may be transmitted using any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 709, and/or installed from the removable medium 711. The computer program, when executed by the processor 701, performs the above-described functions defined in the system of the embodiment of the present disclosure. The systems, devices, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.

In accordance with embodiments of the present disclosure, program code for executing computer programs provided by embodiments of the present disclosure may be written in any combination of one or more programming languages, and in particular, these computer programs may be implemented using high level procedural and/or object oriented programming languages, and/or assembly/machine languages. The programming language includes, but is not limited to, programming languages such as Java, C + +, python, the "C" language, or the like. The program code may execute entirely on the user computing device, partly on the user device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

Those skilled in the art will appreciate that various combinations and/or combinations of features recited in the various embodiments and/or claims of the present disclosure can be made, even if such combinations or combinations are not expressly recited in the present disclosure. In particular, various combinations and/or combinations of the features recited in the various embodiments and/or claims of the present disclosure may be made without departing from the spirit or teaching of the present disclosure. All such combinations and/or associations are within the scope of the present disclosure.

The embodiments of the present disclosure are described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described separately above, this does not mean that the measures in the embodiments cannot be used in advantageous combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the present disclosure, and such alternatives and modifications are intended to be within the scope of the present disclosure.

Claims

1. A method of data processing, comprising:

determining a service identifier and a first virtual value according to a first service record, wherein the first service record comprises a first user identifier;

determining a target processing rule associated with the service identification based on at least one processing rule;

determining a second virtual value according to the target processing rule and the first virtual value; and

and under the condition that the second virtual value is determined to pass the verification, determining the second virtual value as a target virtual value corresponding to the first user identification.

2. The method of claim 1, wherein the determining a target processing rule associated with the service identification based on at least one processing rule comprises:

in the case that it is determined that there is a processing rule associated with the service identifier in the at least one processing rule, taking the associated processing rule as the target processing rule; and

and under the condition that the target processing rule associated with the service identifier does not exist in the at least one processing rule, taking a preset processing rule as the target processing rule.

3. The method of claim 2, wherein, in the event that it is determined that there is no target processing rule associated with the service identification in the at least one processing rule, the determining a second virtual value in accordance with the target processing rule and the first virtual value comprises:

acquiring a preset proportion contained in the target processing rule; and

and determining a second virtual value according to the preset proportion and the first virtual value.

4. The method of claim 1, wherein said determining a second virtual value in accordance with the target processing rule and the first virtual value comprises:

acquiring a second user identifier included in the first service record;

determining at least one second service record associated with the second subscriber identity in a historical service record;

calculating the number of the at least one second service record to obtain a first numerical value;

determining a third numerical value according to the first numerical value and the second numerical value; and

determining a second virtual value based on the sub-target processing rule, the third numerical value and the first virtual value,

wherein the target processing rule comprises the second numerical value and the sub-target processing rule.

5. The method of claim 4, wherein the determining a second virtual value based on the sub-target processing rule, the third numerical value, and the first virtual value comprises:

determining a first pre-virtual value according to the sub-target processing rule and the third numerical value; and

and calculating the first virtual value minus the first pre-virtual value to obtain a second virtual value.

6. The method of claim 5, wherein the sub-goal processing rules comprise: a third virtual value, a fourth virtual value, a fifth virtual value and

y(t)＝min{y₁(t)，y₂(t)}

y₁(t)＝max{(j-A)，v}

y₂(t)＝max(q_t，v)

7. The method of claim 1, wherein the determining the second virtual value as a target virtual value corresponding to the first subscriber identity if the second virtual value is determined to be validated comprises:

determining a first virtual resource pool identifier associated with the first user identifier from a plurality of virtual resource pool identifiers;

determining whether a first pre-stored virtual value corresponding to the first virtual resource pool identifier is greater than or equal to the second virtual value; and

and under the condition that the first pre-stored virtual value is determined to be greater than or equal to the second virtual value, determining the second virtual value as a target virtual value corresponding to the first user identifier.

8. The method of claim 7, further comprising:

determining a second virtual resource pool identifier associated with the second user identifier from the plurality of virtual resource pool identifiers; and

and updating the first pre-stored virtual value and the second pre-stored virtual value according to the first pre-stored virtual value, a second pre-stored virtual value corresponding to the second virtual resource library identifier and the target virtual value.

9. A data processing apparatus comprising:

the first determining module is used for determining a service identifier and a first virtual value according to a first service record, wherein the first service record comprises a first user identifier;

a matching module for determining a target processing rule associated with the service identifier based on at least one processing rule;

a second determining module, configured to determine a second virtual value according to the target processing rule and the first virtual value; and

and a third determining module, configured to determine, when it is determined that the second virtual value passes the verification, that the second virtual value is a target virtual value corresponding to the first subscriber identity.

10. An electronic device, comprising:

one or more processors;

a storage device for storing one or more programs,

wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-8.

11. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method of any one of claims 1 to 8.

12. A computer program product comprising a computer program which, when executed by a processor, implements a method according to any one of claims 1 to 8.