WO2016101811A1

WO2016101811A1 - Information arrangement method and apparatus

Info

Publication number: WO2016101811A1
Application number: PCT/CN2015/097480
Authority: WO
Inventors: 姜冬金
Original assignee: 阿里巴巴集团控股有限公司; 姜冬金
Priority date: 2014-12-23
Filing date: 2015-12-15
Publication date: 2016-06-30
Also published as: CN105786868B; CN105786868A

Abstract

An information arrangement method and apparatus are used to improve flexibility of information arrangement. The method comprises: acquiring service data, and an information set corresponding to the service data (S101), where the information set is a payment tool information set; determining, from preset arrangement rules, an arrangement rule matching the service data (S102); and arranging information in the information set according to the determined arrangement rule (S103). In this way, information arranged in a different order can be dynamically provided to a different service scenario, so that flexibility of arranging information can be effectively improved.

Description

Information sorting method and device

Technical field

The present application relates to the field of computer technologies, and in particular, to an information sorting method and apparatus.

Background technique

In the field of Internet technology, servers often provide various services to users by displaying pages on the terminals. In some business scenarios, a collection of information (for example, a collection of contact information and a collection of address information) is displayed on the page, and the information displayed is often arranged in a certain order to improve the convenience of the user.

In different service scenarios, users have different requirements for sorting information in the same information set. This requires devices (such as terminals or servers) to set different sorting orders according to different business scenarios, according to different sorting orders. Sort the information.

In the prior art, different sorting orders are configured in advance for different service scenarios, that is, for a fixed service scenario, the corresponding sorting order is preset, and the terminal only needs to be according to a preset sorting order. Sort the information. For example, a developer can pre-configure different sorting codes for different business scenarios, placing each sorting code in the page code. The sorting code is specifically used to implement the sorting of the information in the information set in a certain manner (for example, sorting the information according to the order of information establishment time, or sorting the information according to the order of the frequency of use of the information) Wait). When the terminal needs to display information, the server sends a page code including the sort code to the terminal, and the terminal may display the information according to the sort code in the page code.

However, considering the actual application scenario, as the business function changes (such as adding or upgrading), the user's requirements for the sorting method are also changing, which requires the developer to update the order in each page code in time. The code, if the update is not timely enough, the server will also perform business processing according to the original sorting code, so that there is a problem that the information sorting is not flexible enough, the service quality is low, and the user's operation convenience is low.

Summary of the invention

The embodiment of the present application provides an information sorting method and device, which are used to improve the flexibility of sorting information.

An information sorting method provided by an embodiment of the present application includes:

Obtaining service data, and a set of information corresponding to the service data, where the information set is a payment tool information set;

Determining, in each preset collation, a sorting rule that matches the business data;

Sorting information in the information set according to the determined sorting rule.

An information sorting apparatus provided by an embodiment of the present application includes:

An acquiring module, configured to obtain service data, and a set of information corresponding to the service data, where the information set is a payment tool information set;

a determining module, configured to determine, in each preset collation, a sorting rule that matches the service data;

a sorting module, configured to sort information in the information set according to the determined sorting rule.

An information sorting method and device provided by the embodiment of the present application, the method pre-setting a plurality of sorting rules corresponding to different service scenarios, and when the server obtains the service data, determining, in the preset sorting rules, the The collation of the business data matches, and the information in the information collection is sorted according to the determined collation. In this way, different ordering information can be dynamically provided for different service scenarios corresponding to different service data, thereby effectively improving the flexibility of sorting information, improving service quality, and correspondingly, and effectively improving user convenience.

DRAWINGS

The drawings described herein are intended to provide a further understanding of the present application, and are intended to be a part of this application. In the drawing:

FIG. 1 is a schematic flowchart of an information sorting method according to an embodiment of the present application;

2 is a schematic diagram of a syntax tree structure of a rule expression according to an embodiment of the present application;

FIG. 3 is a schematic diagram of a syntax tree structure of a rule expression according to an embodiment of the present disclosure;

4 is a schematic diagram of a syntax tree structure of a rule expression according to an embodiment of the present application;

FIG. 5 is a schematic structural diagram of an information sorting apparatus according to an embodiment of the present application.

detailed description

The technical solutions of the present application will be clearly and completely described in the following with reference to the specific embodiments of the present application and the corresponding drawings. It is apparent that the described embodiments are only a part of the embodiments of the present application, and not all of them. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present application without departing from the inventive scope are the scope of the present application.

1 is a schematic flowchart of an information sorting method provided by an embodiment of the present application, including the following steps:

S101: Acquire service data, and a set of information corresponding to the service data.

Considering that in actual application scenarios, the service data generated by processing each service is different for different services. In the embodiment of the present application, the acquiring the service data is: the server acquires the service data generated in a certain service process.

In a practical application scenario, when processing a service related to payment, it is often necessary to display a collection of information including payment instrument information (hereinafter referred to as a collection of payment instrument information) through the terminal. That is, the information set described in the embodiment of the present application may include a payment instrument information set.

When the server obtains the service data, the server may obtain the service data generated during the payment related business process, and obtain the payment tool information set when the information set corresponding to the service data is obtained. The business related to payment may specifically include: business related to transfer, recharge, online shopping, repayment, and the like. The payment instrument may include a bank card, an electronic red envelope, a coupon, etc., and these types of payment instrument information may constitute a collection of payment instrument information. The payment instrument information may specifically be the name or identifier of the payment instrument, etc. Information, for example, bank card information includes: the name of the bank card such as Industrial and Commercial Bank of China, China Construction Bank, or the identifier ICBC and CCB corresponding to ICBC and China Construction Bank respectively.

Of course, in the embodiment of the present application, the service data may also be service data generated by processing other types of services, for example, processing service data generated by a service related to adding a contact, and correspondingly, the information set. It can also be a collection of contact information such as a collection of mobile phone numbers, a collection of email addresses, and a collection of instant messaging accounts.

S102: Determine, in each preset collation, a collation that matches the business data.

Considering the different business scenarios in the actual application scenario, the user has different requirements for the order of the information in the same information set. For example, when dealing with recharge-related services, users are often accustomed to using electronic red packets for recharging. When dealing with transactions related to transfer, users usually prefer to use bank cards for transfer. This requires the server to display the payment instrument information that the user may preferentially use in the top position of all payment instrument information for different business scenarios, so as to improve the convenience of the user operation.

In the embodiment of the present application, different sorting rules may be set in advance for different service scenarios. After the server obtains the service data in step S101, the server may determine, in the preset sorting rules, the matching with the service data. Sorting rules. Since different service data can reflect different service scenarios, once the ordering rules for matching the service data are determined, the ordering rules corresponding to the service scenarios reflected by the service data are determined.

Specifically, the embodiment of the present application may preset a rule condition for different sorting rules according to different service scenarios. When the service data obtained by the server satisfies a certain rule condition, the order rule corresponding to the rule condition may be determined as The business data matches the collation.

For example, for different services such as mobile phone recharge, game recharge, and transfer, rules for expressing each service can be set separately for these services. When the service data related to the mobile phone recharge is obtained, according to the service data, among the preset rule conditions, the rule condition matching the service data is determined, and the rule rule corresponding to the determined rule condition is The collation of the business data matching, that is, the collation corresponding to the mobile phone recharge service.

S103: Sort information in the information set according to the determined sorting rule.

For example, suppose that only one bank card information and one electronic red envelope information are included in the information set. For the transfer and recharge business, collation 1 and collation 2 are preset. The collation 1 is: the bank card is placed before the electronic red envelope. The collation 2 is: the electronic red envelope is placed before the bank card.

In the above example, if the service data received by the server is the service data related to the transfer, and the collation matching the service data is determined to be the collation 1, the bank card is arranged before the electronic red envelope according to the collation 1 The sorted bank card information and electronic red envelope information are displayed through the terminal. In this way, the order of the payment instrument information displayed on the terminal is: the bank card is in front and the electronic red envelope is in the back. In this way, when the user selects the payment tool on the webpage, the bank card that is ranked first is selected, thereby improving the convenience of the user operation.

In the method shown in FIG. 1 , a plurality of sorting rules corresponding to different service scenarios are set in advance. When the server obtains the service data, the sorting rules that match the service data are determined in the preset sorting rules. And sorting the information in the information collection according to the determined sorting rule. In this way, different ordering information can be dynamically provided for different business scenarios, thereby effectively improving the flexibility of sorting information and improving the quality of service, thereby effectively improving the convenience of user operations.

In the embodiment of the present application, the foregoing rule condition may include a rule sub-condition, and may also include a plurality of rule sub-conditions connected by an operator.

The rule sub-conditions include a business data variable, and the business data variable in the rule sub-condition is the same as the business data variable in the business data.

Specifically, the rule condition may be a regular expression, and the rule sub-condition may be a conditional expression, that is, a rule expression includes at least one conditional expression, and logic for connecting each conditional expression Operators, where logical operators can include "! (not)", "&& (and)", "‖ (or)", etc., of course, regular expressions can also include "()", "{}" Operators.

Conditional expressions include business data variables, relational operators, comparison values, and type characters; where, relational operators are used to operate on business data variables and comparison values, and type characters are used to describe business data changes. The type of quantity, relational operators include but are not limited to: "== (equal to)", "!= (not equal to)", "<", "≤", ">", "≥", and so on. Type symbols can include, but are not limited to, string (string), integer (int), date (date), long (long), boolean (boolean), and so on.

For example, string:A>1&&int:B! =2‖(date:C>201209&&date:C<201211) is a regular expression that includes two logical operators, && and ,, and a conditional expression including a (), connected by && and ‖ The formula includes: "string: A>1", B! =2", "date:C>201209" and "C<201211", where A, B, and C are business data variables.

After the server obtains the service data in step S101, when determining the collation matching the service data in the preset collation rules, the value of the service data variable in the service data may be substituted into each rule expression, for each The rule expression performs an operation to determine whether the service data satisfies the rule expression. If yes, it may be determined that the service data matches the collation rule corresponding to the rule expression; otherwise, the collation does not match. Since the operation result of the regular expression is a Boolean type (that is, the operation result is "true" or "false"), it can be determined that the service data satisfies the regular expression only when the operation result of the regular expression is true, otherwise, Determine that the business data does not satisfy the rule expression.

However, in step S102, for a certain service data, a plurality of collation rules matching the service data may be determined from the preset collation rules.

For example, suppose the rule expression 1 and the regular expression 2 are preset, and the regular expression 1 is: string:A>1&&int:B! =2‖(date:C>201209&&date:C<201211), the regular expression 2 is: string:A>2&&int:B! =3. The service data acquired by the server for a certain service includes: A=3, B=1, C=201210. Substituting A=3, B=1, C=201210 into the regular expression 1 and the regular expression 2, the values of the business data variables A, B, and C in the service data satisfy the two rule expressions, thereby determining the service. The data matches the collation corresponding to the two rule expressions.

In order to select from the plurality of collation rules matched by the business data, a sorting rule that best satisfies the user's ranking requirements in the current business scene is determined.

In the embodiment of the present application, the priority may be set in advance for each rule condition, and in the preset collation rules, when the sorting rule matching the service data is determined, specifically, each of the presets may be sorted. a rule, when it is determined that the service data satisfies the rule condition corresponding to the collation rule, the collation rule is used as a to-be-determined collation rule; in the determined each of the to-be-determined collation rules, the collation rule corresponding to the rule condition with the highest priority is selected as the service The collation of the data matches.

The priority of each rule condition may be determined according to the sum of the weight values corresponding to the rule conditions. Specifically, the weight value may be set for different service data variables in each rule expression according to the service scenario, and each rule expression is calculated. The sum of the weight values of all business data variables, the greater the sum of the weight values indicates that the rule expression is more detailed for the business expression, so its priority is higher; wherein, when calculating the sum of the weight values of all business data variables The business data variables in each of the conditional expressions in the regular expression are involved in the calculation. For example, in the above example, it is assumed that the weight values of the business data variables A, B, and C in the regular expression 1 are all 1, because four business data variables appear in the regular expression 1, respectively, A, B, and C. , C, then the sum of the weight values is 4.

The foregoing embodiment of the present application, in each of the pending sorting rules, selects a sorting rule corresponding to the rule condition with the highest priority, and specifically includes:

For each rule condition corresponding to the to-be-ordered rule, the sum value of the weight value corresponding to each service quantity variable in the rule condition is determined according to the weight value of the preset service quantity variable; The rule condition corresponding to the largest sum value is determined as the rule condition with the highest priority; the collation corresponding to the rule condition with the highest priority is used as the collation matching the business data.

Certainly, when determining the priority of the rule condition, the embodiment of the present application may also be implemented as follows:

The number of rule sub-conditions included in each rule condition corresponding to each collation is determined, and the highest-to-low priority is set for each rule condition according to the order of the number of rule sub-conditions.

In the embodiment of the present application, in order to improve the processing efficiency, after the server obtains the service data, and determines whether the service data meets the rule condition corresponding to the collation rule, the method can be implemented as follows.

Specifically, when it is determined that the service data meets the rule condition corresponding to the collation rule, the rule sub-conditions in the rule condition are determined for each rule condition; and the rule condition corresponding to each rule sub-condition and the connection rule sub-condition operator is generated. Syntax tree; rule clauses for the determined rule conditions The device performs de-reprocessing, and performs operation on each rule sub-condition after the de-duplication processing according to the service data, and obtains an operation result corresponding to each rule sub-condition; and performs operation on the syntax tree according to the operation result corresponding to each rule sub-condition, Obtaining an operation result corresponding to the syntax tree; determining that the service data satisfies the rule condition corresponding to the collation rule when the operation result of the syntax tree is true; and determining that the service data does not satisfy the collation rule when the operation result of the syntax tree is false Rule conditions.

The following will determine if the business data satisfies the regular expression string:A>1&&int:B! =2‖(string:A>1&&int:B!=3) is an example, which can include the following steps:

Step 1: Determine the conditional expressions as: "string: A>1", "int:B!=2", "string:A>1", and "int:B!=3".

Step 2: According to each conditional expression and the logical operators && and 连接 connecting the conditional expressions, a syntax tree as shown in FIG. 2 is generated, and the syntax tree shown in FIG. 2 is a binary tree, and each conditional expression is in a binary tree. Leaf nodes, logical operators && and ‖ are intermediate nodes and root nodes in the binary tree.

Wherein, when generating the syntax tree, according to the multiple independent conditional expressions and logical operators obtained in step 1, the conditional expression is used as the leaf node of the syntax tree, and the logical operator is used as the intermediate node or the root node of the syntax tree. The syntax tree is generated. Since the method of generating the syntax tree is prior art, it will not be described here.

Step 3: Perform de-reprocessing on each conditional expression according to each conditional expression determined in step one, and perform operation on each conditional expression after de-duplication processing according to the service data to obtain an operation result of each conditional expression. .

In the above example, due to the four conditional expressions "string:A>1", "int:B!=2", "string:A>1", and "int:B!=3" in the regular expression, Has two identical conditional expressions "string:A>1", and the conditional expression after de-reprocessing includes "string:A>1", "int:B!=2", and "int:B!=3" These three conditional expressions.

Suppose a service, business data includes A=2, B=1, A=2, B=1 into “string:A>1”, “int:B!=2” and “int:B!=3” These three conditional expressions operate, obviously, A=2 satisfies A>1, B=1 satisfies B! = 2 and meet B! =3, therefore, for "string:A>1", "int:B!=2" and The result of "int:B!=3" is true.

Step 4: Substituting the operation result of each conditional expression into the syntax tree, performing an operation on the syntax tree to determine whether the operation result is true, and if so, determining that the service data satisfies the rule condition corresponding to the collation rule; otherwise, determining the service data is not Meet the rule conditions corresponding to the collation.

In the above example, since the operations of "string:A>1", "int:B!=2", and "int:B!=3" are all true, the result of the syntax tree is also true, and the service can be determined. The data satisfies the rule conditions corresponding to the collation.

As can be seen from the above example, if the syntax tree is calculated according to the prior art, it is necessary to calculate "string: A>1", "int: B!=2", "string: A>1", and "int: B!=3, respectively. ", it can be seen that "string: A>1" is calculated twice, so the processing efficiency is lower. The present invention first de-emphasizes each conditional expression, removes a repeated conditional expression "string: A>1", and operates each de-emphasized conditional expression "string: A>1", "int: B!=2" and "int:B!=3", it can be seen that the operation of "string:A>1" is only one time, which can effectively improve the processing efficiency.

In the above process of determining whether the service data satisfies the rule expression, after generating the syntax tree in step 2, an identifier may be set for each conditional expression in the syntax tree, and the same conditional expression sets the same identifier, for example, The identifiers set by "string: A>1", "int:B!=2", "string:A>1", and "int:B!=3" may be d1, d2, d1, and d3, respectively. The leaf node in the syntax tree shown in FIG. 2 is replaced with an identifier, and the obtained syntax tree is as shown in FIG. 3. Since the operation results of all the conditional expressions after deduplication are true, the values of d1, d2, and d3 are all true. The values of d1, d2, and d3 are substituted into the syntax tree shown in FIG. 3, and the obtained syntax tree is as shown in FIG. 4. When the syntax tree is calculated in step four, that is, when the syntax tree shown in FIG. 4 is operated, the leaf nodes are operated up by layer by layer, and the operation result of the determined syntax tree is true.

The sequence of the first step and the second step is not limited. For example, the binary tree may be generated according to the rule expression, and the leaf node of the binary tree is a conditional expression. Then iterate through each leaf node to get all the conditional expressions.

In the embodiment of the present application, in step S103, according to the determined sorting rule, the information set When sorting the information in the middle, the above has exemplified that when the information set includes a bank card and an electronic red envelope, the bank card can be placed behind or in front of the red envelope. However, considering the actual application scenario, when there are more than one bank card or more than one electronic red envelope, this requires sorting the same type of payment instrument. In this embodiment, the preset sorting rule may include: a category sorting sub-rule and an information sorting sub-rule. When sorting information in the information set according to the determined sorting rule, the sub-rule pair information may be first sorted according to the category. The categories of information in the collection are sorted, and then the information of the same category is sorted according to the information sorting sub-rule.

The categories in the category ordering sub-rule may include: a category of a payment instrument (such as a bank card, an electronic red envelope, a coupon, etc.), or a channel of a payment instrument (eg, a provider of a payment instrument).

For example, it is assumed that the payment instrument information set includes three types of payment instruments: a bank card, an electronic red envelope, and a coupon, and the number of each type of payment instrument is 2, 1, 2, respectively, and the bank card is provided by the provider A1. Electronic red envelopes and coupons are provided by provider A2.

The category collation can be: bank card > electronic red envelope > coupon, that is, the bank card is placed in front of the electronic red envelope, and the electronic red envelope is arranged in front of the coupon; the category sorting rule can also be: provider A1>provider A2, ie provider The payment instrument provided by A1 is placed in front of the payment instrument provided by provider A2.

The information sorting sub-rule may be: for bank cards, sorted according to the order of the user's frequency of use, and for electronic red envelopes and coupons, sorted according to the order of face value.

In this way, when the amount of information in the information set is large, the sorting may be first performed according to the category of the payment instrument, and then the different payment instrument information belonging to the same category may be sorted, thereby effectively improving the sorting efficiency.

Considering that in the prior art, the information is sorted according to a preset sorting rule, the developer needs to pre-place the sorting code corresponding to the sorting rule in the entire page code, and when the subsequent server sends the entire page code to the terminal, the terminal You can sort and present information based on the sorting code in the entire page code. When the developer needs to maintain the sorting code, it needs to maintain the sorting code in each page code, so that it is more difficult to maintain the sorting rules.

Therefore, in the embodiment of the present application, the preset sorting codes respectively correspond to the sorting codes independently of Page code. In this way, before the server sends the information set to the terminal, the server first determines the matching rule that matches the service data according to the information sorting method provided by the embodiment of the present application, and invokes the sorting code corresponding to the sorting rule from the preset storage area. The sorting code is embedded in the page code and sent to the terminal to cause the terminal to sort and display the set of information according to the sorting code in the page code.

Obviously, the ordering code of the embodiment of the present application is stored in the preset storage area independently of the page code. When the sorting rule needs to be maintained, only the sorting code needs to be maintained in the preset storage area, thereby effectively reducing It is difficult to maintain the sorting rules. Moreover, since the sorting code is independent of the page code, the business code can be maintained in time, and the user can be provided with more accurate sorting rules in time, thereby effectively improving the flexibility of information sorting, improving the quality of service, correspondingly, and effectively improving user operations. Convenience.

The above is the information sorting method provided by the embodiment of the present application. Based on the same idea, the embodiment of the present application further provides an information sorting apparatus, as shown in FIG. 5 .

The obtaining module 51 is configured to obtain service data, and a set of information corresponding to the service data, where the information set is a payment tool information set;

a determining module 52, configured to determine, in the preset sorting rules, a sorting rule that matches the service data;

The sorting module 53 is configured to sort the information in the information set according to the determined sorting rule.

Optionally, the determining module 52 is specifically configured to:

For each of the preset sorting rules, when it is determined that the service data meets the rule condition corresponding to the sorting rule, the sorting rule is used as a pending sorting rule;

In the determined each of the determined sorting rules, the sorting rule corresponding to the rule condition with the highest priority is selected as the sorting rule that matches the service data.

Optionally, the rule condition includes a rule sub-condition or a plurality of rule sub-conditions connected by an operator;

Each rule sub-condition includes: a business data variable.

Optionally, the determining module 52 is specifically configured to:

Determining a sum of weight values corresponding to each service quantity variable in the rule condition according to a weight value of the preset service quantity variable for each rule condition corresponding to the to-be-ordered rule;

In the sum value corresponding to each rule condition, the rule condition corresponding to the largest sum value is determined as the rule condition with the highest priority; and the collation rule corresponding to the rule condition with the highest priority is matched as the service data. Sorting rules.

Optionally, the determining module 52 is specifically configured to: determine, for each rule condition, a rule sub-condition in the rule condition;

Generating a syntax tree corresponding to the rule condition according to an operator of each rule sub-condition and a connection rule sub-condition;

Performing de-duplication processing on each rule sub-condition of the determined rule condition, and performing operation on each rule sub-condition of the de-duplication process according to the service data, to obtain an operation result corresponding to each rule sub-condition;

Performing an operation on the syntax tree according to an operation result corresponding to each rule sub-condition, and obtaining an operation result corresponding to the syntax tree;

When the operation result of the syntax tree is true, it is determined that the service data satisfies a rule condition corresponding to the collation rule.

Optionally, the sorting rule includes a category sorting sub-rule and an information sorting sub-rule; and the sorting module 53 is specifically configured to:

Sorting the categories of the information in the information set according to the category sorting sub-rule; sorting the information of the same category according to the information sorting sub-rules.

Optionally, the preset sorting codes of the preset sorting rules are independent of the page code.

In summary, the embodiment of the present application provides a method and device for sorting information. Specifically, multiple sorting rules corresponding to different service scenarios may be preset. When the server obtains service data, in the preset sorting rules, Determining a collation that matches the business data and sorting according to the determined A rule that sorts the information in a collection of information. In this way, different ordering information can be dynamically provided for different business scenarios, thereby effectively improving the flexibility of sorting information and improving the quality of service, thereby effectively improving the convenience of user operations.

Those skilled in the art will appreciate that embodiments of the present invention can be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or a combination of software and hardware. Moreover, the invention can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) including computer usable program code.

The present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (system), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or FIG. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing device to produce a machine for the execution of instructions for execution by a processor of a computer or other programmable data processing device. Means for implementing the functions specified in one or more of the flow or in a block or blocks of the flow chart.

The computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device. The apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.

These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device. The instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

Memory may include non-persistent memory in a computer readable medium, random access memory Forms such as (RAM) and/or non-volatile memory, such as read only memory (ROM) or flash memory. Memory is an example of a computer readable medium.

Computer readable media includes both permanent and non-persistent, removable and non-removable media. Information storage can be implemented by any method or technology. The information can be computer readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory. (ROM), electrically erasable programmable read only memory (EEPROM), flash memory or other memory technology, compact disk read only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, Magnetic tape cartridges, magnetic tape storage or other magnetic storage devices or any other non-transportable media can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary storage of computer readable media, such as modulated data signals and carrier waves.

It is also to be understood that the terms "comprises" or "comprising" or "comprising" or any other variations are intended to encompass a non-exclusive inclusion, such that a process, method, article, Other elements not explicitly listed, or elements that are inherent to such a process, method, commodity, or equipment. An element defined by the phrase "comprising a ..." does not exclude the presence of additional equivalent elements in the process, method, item, or device including the element.

Those skilled in the art will appreciate that embodiments of the present application can be provided as a method, system, or computer program product. Thus, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment in combination of software and hardware. Moreover, the application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) including computer usable program code.

The above description is only an embodiment of the present application and is not intended to limit the application. Various changes and modifications can be made to the present application by those skilled in the art. Any modifications, equivalents, improvements, etc. made within the spirit and scope of the present application are intended to be included within the scope of the appended claims.

Claims

An information sorting method, comprising:

Obtaining service data, and a set of information corresponding to the service data, where the information set is a payment tool information set;

Determining, in each preset collation, a sorting rule that matches the business data;

Sorting information in the information set according to the determined sorting rule.
The method according to claim 1, wherein in the preset collation rules, the collation rules that match the service data are determined, which specifically includes:

For each of the preset sorting rules, when it is determined that the service data meets the rule condition corresponding to the sorting rule, the sorting rule is used as a pending sorting rule;

In the determined each of the determined sorting rules, the sorting rule corresponding to the rule condition with the highest priority is selected as the sorting rule that matches the service data.
The method of claim 2, wherein the rule condition comprises a rule sub-condition or a plurality of rule sub-conditions connected by an operator;

Each rule sub-condition includes: a business data variable.
The method according to claim 3, wherein in the determined each of the determined sorting rules, the sorting rule corresponding to the rule condition with the highest priority is selected as the sorting rule that matches the service data, and specifically includes:

Determining a sum of weight values corresponding to each service quantity variable in the rule condition according to a weight value of the preset service quantity variable for each rule condition corresponding to the to-be-ordered rule;

In the sum value corresponding to each rule condition, the rule condition corresponding to the largest sum value is determined as the rule condition with the highest priority; and the collation rule corresponding to the rule condition with the highest priority is matched as the service data. Sorting rules.
The method of claim 3, wherein determining that the service data meets a rule condition corresponding to the collation rule comprises:

Determining the rule sub-conditions in the rule condition for each rule condition;

Generating a syntax tree corresponding to the rule condition according to an operator of each rule sub-condition and a connection rule sub-condition;

Performing de-duplication processing on each rule sub-condition of the determined rule condition, and performing operation on each rule sub-condition of the de-duplication process according to the service data, to obtain an operation result corresponding to each rule sub-condition;

Performing an operation on the syntax tree according to an operation result corresponding to each rule sub-condition, and obtaining an operation result corresponding to the syntax tree;

When the operation result of the syntax tree is true, it is determined that the service data satisfies a rule condition corresponding to the collation rule.
The method of claim 1 wherein said ordering rules comprise a category ordering sub-rule and an information ordering sub-rule;

And sorting the information in the information set according to the determined sorting rule, specifically:

Sorting the categories of information in the information set according to the category sorting sub-rule;

The information of the same category is sorted according to the information sorting sub-rule.
The method according to claim 1, wherein the preset sorting codes respectively correspond to the sorting code independently of the page code.
An information sorting device, comprising:

An acquiring module, configured to obtain service data, and a set of information corresponding to the service data, where the information set is a payment tool information set;

a determining module, configured to determine, in each preset collation, a sorting rule that matches the service data;

a sorting module, configured to sort information in the information set according to the determined sorting rule.
The device according to claim 8, wherein the determining module is configured to determine, according to each preset rule, that the service data meets a rule condition corresponding to the sorting rule The sorting rule is used as the to-be-determined sorting rule, and the sorting rule corresponding to the rule condition with the highest priority is selected as the sorting rule matching the service data.
The apparatus according to claim 9, wherein said rule condition comprises a rule sub-condition or a plurality of rule sub-conditions connected by an operator;

Each rule sub-condition includes: a business data variable.
The device according to claim 10, wherein the determining module is configured to: determine, according to a rule condition corresponding to each of the to-be-ordered rules, a weight of each of the rule conditions according to a weight value of the preset service quantity variable The sum of the weight values corresponding to the service quantity variable; in the sum value corresponding to each rule condition, determining the rule condition corresponding to the largest sum value as the rule condition with the highest priority; sorting the rule condition corresponding to the highest priority A rule as a collation that matches the business data.
The apparatus according to claim 10, wherein the determining module is specifically configured to: determine, for each rule condition, a rule sub-condition in the rule condition; an operator according to each rule sub-condition and a connection rule sub-condition Generating a syntax tree corresponding to the rule condition; performing deduplication processing on each rule sub-condition of the determined rule condition, and performing operation on each rule sub-condition of the de-duplication process according to the service data, Obtaining an operation result corresponding to each rule sub-condition; performing an operation on the syntax tree according to the operation result corresponding to each rule sub-condition, and obtaining an operation result corresponding to the syntax tree; when the operation result of the syntax tree is true And determining that the service data meets a rule condition corresponding to the collation rule.
The apparatus according to claim 8, wherein said sorting rule comprises a category sorting sub-rule and an information sorting sub-rule;

The sorting module is specifically configured to sort the categories of the information in the information set according to the category sorting sub-rule, and sort the information of the same category according to the information sorting sub-rules.
The apparatus according to claim 8, wherein the preset sorting codes respectively correspond to the sorting codes independently of the page codes.