WO2016062197A1 - 一种类目目录确定方法及装置、自动分类方法及装置 - Google Patents

一种类目目录确定方法及装置、自动分类方法及装置 Download PDF

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Publication number
WO2016062197A1
WO2016062197A1 PCT/CN2015/091687 CN2015091687W WO2016062197A1 WO 2016062197 A1 WO2016062197 A1 WO 2016062197A1 CN 2015091687 W CN2015091687 W CN 2015091687W WO 2016062197 A1 WO2016062197 A1 WO 2016062197A1
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Prior art keywords
category
directory
identifier
change
user
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PCT/CN2015/091687
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English (en)
French (fr)
Inventor
魏鹏
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阿里巴巴集团控股有限公司
魏鹏
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Publication date
Application filed by 阿里巴巴集团控股有限公司, 魏鹏 filed Critical 阿里巴巴集团控股有限公司
Priority to JP2017521249A priority Critical patent/JP6542887B2/ja
Priority to KR1020177010097A priority patent/KR102066330B1/ko
Priority to EP15853071.7A priority patent/EP3211541A4/en
Priority to SG11201702765PA priority patent/SG11201702765PA/en
Publication of WO2016062197A1 publication Critical patent/WO2016062197A1/zh
Priority to US15/491,895 priority patent/US10803091B2/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28—Databases characterised by their database models, e.g. relational or object models
    • G06F16/284—Relational databases
    • G06F16/285—Clustering or classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor

Definitions

  • the present application relates to the field of computer processing technologies, and in particular, to a method and device for determining a category directory, and an automatic classification method and device.
  • the resource processing system can generally generate a record describing the resource processing process.
  • the record of the resource processing may generally include: user information, processor information, resource quantity, resource processing time, and the like. Sorting the records processed by the resource into several categories according to the information in the record can facilitate the user to perform statistics on the records processed by the resource.
  • the existing category directory determining method may include: treating the processing party information in the resource processing record as a category name in the category directory, and automatically classifying the processing party information in the resource processing record into the same category with the same name. In the middle, all the categories make up the category directory.
  • a resource processing system may include multiple subsystems, and correspondingly, the processing information contained in the resource processing record generated by the resource processing system may not be The same, when classifying according to the category catalogue determined by the prior art, the resource processing records that should belong to the same category name may be allocated in multiple categories, and therefore, the existing category catalog determination method is used. The category directory may result in inaccurate classification results.
  • the purpose of the embodiments of the present application is to provide a method and device for determining a category directory, an automatic classification method and a device, so as to improve the accuracy of the classification result of the resource processing record.
  • a category directory determining method includes: determining, according to processing party information in a resource processing record, a first correspondence relationship between the processing party information and a category, determining a first category directory; receiving a user changing a category a message, and generating a category change identifier including a category change content; determining a statistical start time corresponding to the first category identifier in the category change identifier, determining, according to the statistical start time, the first The first time interval corresponding to the category identifier; the category change identifier including the first category identifier in the first time interval is counted to obtain a first statistical result; and the first statistical result meets the first preset rule, Changing the first category directory including the first correspondence to the second category including the second correspondence a directory, and setting the second category as a base category directory; if not, setting the first category directory as a base category directory.
  • An automatic classification method for classifying a category directory determined by a category directory determination method comprising: receiving a resource processing record sent by a user; and correspondingly corresponding to the processing party information according to a category in the basic category directory Relationship, processing the resource; feeding back the classification result to the user.
  • a category directory determining apparatus comprising: a first category directory unit, a category change identifier unit, a first time interval unit, a first statistic unit, and a base category directory unit; wherein the first category directory unit, And configured to determine, according to the processing party information in the resource processing record, the first correspondence relationship preset between the processing party information and the category, the first category directory; the category change identifier unit, configured to receive user changes a class change message, and generating a category change identifier including a category change content; the first time interval unit, configured to determine a statistical start time corresponding to the first category identifier in the category change identifier, Determining, by the statistical start time, a first time interval corresponding to the first category identifier; the first statistic unit, configured to perform a category change identifier that includes the first category identifier in the first time interval Statistics, the first statistical result is obtained; the basic category directory unit is configured to: if the first statistical result meets the first preset rule, change the first category of the first correspondence The second category is
  • An automatic classification device comprising: a receiving unit, a basic category classification result unit, and a feedback unit; wherein the receiving unit is configured to receive a resource processing record sent by a user; and the basic category classification result unit is used to The resource processing record is classified according to the second correspondence between the category in the basic category directory and the processing party information, and the classification result is obtained; the feedback unit is configured to feed back the classification result to the user.
  • the method and device for determining the category directory disclosed in the embodiment of the present application determine the correspondence between the processing party information and the category according to the analysis of the processing party information, thereby ensuring similarity.
  • the resource processing records can correspond to the same category, which can improve the accuracy of the classification results.
  • receiving the message of the user changing the category, and continuously updating the current category directory according to the message of the user changing the category can ensure that the determined category directory meets the requirements of the user, and further improves the accuracy of the classification result.
  • the automatic classification method and device are classified according to the results of the category catalog determination method and the device of the present application, and the obtained results can improve the accuracy of the classification result, and the classification according to the continuously updated category catalogue can make the classification result more in line with the user's classification requirements. .
  • the application can determine the user category directory corresponding to the user for the user, and can further ensure that the user requirements are met, and the accuracy of the classification result can be further improved.
  • FIG. 1 is a flow chart of a first embodiment of a method for determining a category directory of the present application
  • FIG. 2 is a flow chart of a second embodiment of the method for determining the category of the present application
  • FIG. 3 is a flow chart of a first embodiment of an automatic classification method of the present application.
  • Figure 5 is a block diagram of an embodiment of the category directory determining apparatus of the present application.
  • Figure 6 is a block diagram of an embodiment of an automatic sorting apparatus of the present application.
  • the embodiment of the present application provides a method and device for determining a category directory, and an automatic classification method and device.
  • FIG. 1 is a flow chart of a first embodiment of a method for determining a category of a present application.
  • the category determination method as shown in FIG. 1 may include:
  • S101 Determine a first category directory according to the processing party information in the resource processing record, the first correspondence between the processing party information and the category preset.
  • the processing party information may include information such as a system party name of the processing resource, a system side attribute of the processing resource, and the like.
  • the first correspondence between the processing party information and the category may be preset.
  • the first correspondence may be determined according to analysis processor information.
  • the first correspondence may be determined according to a processing party corresponding to the processing party information, or may be determined according to an attribute of the processing party corresponding to the processing party information.
  • the subsystems A1 and A2 are included, and in the first correspondence, the processing information of the content A1 or A2 may correspond to the category whose category name is A.
  • resource system B and resource system C are all about traffic.
  • the processing information of the content B or C may correspond to the category whose category name is “traffic”.
  • the first correspondence may also be determined according to performing keyword analysis on the processing party information. For example, if the processing party information is “Andy Lau’s song”, the keyword analysis is performed on the processing party information, and both “Andy Lau” and the “song” belong to the field of music, and the processing party can be The information "Andy Lau's song” is associated with the category whose category name is "Music”.
  • the first correspondence may be: one or more resource processor information corresponding to one category.
  • the first category directory may be determined according to the first correspondence between the processing party information and the category in the resource processing record.
  • the category directory may include one or more category category identifiers (category IDs) and a category name corresponding to the category ID.
  • the category directory may also include a first correspondence between the processing party information and the category.
  • S102 Receive a message that the user changes the category, and generate a category change identifier that includes the content of the category change.
  • the category directory determining means may receive a message that the user changes the category to which the resource processing record belongs.
  • the message of the category to which the resource processing record belongs may include: a user identifier (user ID), processing party information in the resource processing record, a category change time, a pre-change category ID, and a changed category ID.
  • the message of the user changing the category may be automatically generated when the user changes the category division, and sent to the category directory determining device.
  • the category directory determining means may generate a category change identifier based on the message divided by the change category.
  • the category change identifier may include: a category change content, a user ID, and a category change time.
  • the category change content may include: processor information, a pre-change category ID, and a changed category ID.
  • S103 Determine a statistical start time corresponding to the first category identifier in the category change identifier, and determine a first time interval corresponding to the first category identifier according to the statistics start time.
  • the category directory determining means may determine a statistical start time corresponding to the first category identifier (first category ID) in the category change identifier.
  • the first category ID may be any one of the category change identifiers before the change.
  • Determining the statistical start time corresponding to the first category ID may include: the time when the first category ID is changed to the first category is the statistical start time corresponding to the first category ID.
  • the operation of determining the statistical start time may be performed every preset time interval.
  • the preset time interval may be preset by the user in the category directory determining device.
  • a first time interval corresponding to the first category ID may be determined.
  • the time difference between the statistical start time and the current time corresponding to the first category ID may be the first time interval corresponding to the first category ID.
  • S104 Perform statistics on the category change identifiers that include the first category identifier in the first time interval to obtain the first statistics result.
  • the category directory determining device may perform statistics on the category change identifiers including the first category identifier in the first time interval to obtain a first statistical result. Specifically, the first total number of the first candidate category change identifiers in which the pre-change category ID is the same as the first category ID in the first time interval may be counted, and the first candidate category change identifier in the user ID category a second total number, a third total number of second candidate category change identifiers of the first candidate category change identifier having the same changed category ID and the second category ID, and the second candidate category change identifier The fourth total number of user ID categories. The second category ID is different from the first category ID.
  • the first statistical result may include: a first total quantity, a second total quantity, a third total quantity, and a fourth total quantity.
  • the first category ID is "A” and the second category ID is "B".
  • the total number of first candidate category change identifiers whose pre-category ID is "A" in the category change identifier can be counted, and the total number is taken as the first total number.
  • the number of types of user IDs in the first candidate category change identifier may be counted, and the number of categories is used as the second total number.
  • the total number of second candidate category change identifiers whose changed category ID is "B" in the first candidate category change identifier may be changed, and the total number is used as the third total number.
  • the number of types of user IDs in the second candidate category change identifier may be counted, and the number of categories is taken as the fourth total number.
  • S105 The first statistical result meets the first preset rule, and the first category directory that includes the first correspondence is changed into a second category directory that includes the second correspondence, and the second category is set.
  • the base category directory if not, set the first category directory as the base category directory.
  • the first preset rule may be used to determine whether the first category directory and the first correspondence need to be changed.
  • the first preset rule may include one or more of the following:
  • the first total number of the first statistical results is greater than or equal to the first preset value, and the first preset value may be less than or equal to the total number of the category change identifiers.
  • the second total number of the first statistical results is greater than or equal to the second preset value, and the second preset value may be less than or equal to the total number of user ID categories corresponding to the category change identifier and less than or equal to the first total Quantity.
  • the third total number of the first statistical results is greater than or equal to a third preset value, and the third preset value may be less than or equal to the first total number.
  • the fourth total number of the first statistical results is greater than or equal to a fourth preset value, and the fourth preset value may be less than or equal to the third total number.
  • the correspondence between the first category ID and the corresponding processing party information in the first correspondence relationship may be changed to the processing party information and the second category ID.
  • the category directory generated according to the second correspondence may be a second category directory.
  • the second category directory may include one or more category IDs, and a second correspondence between the category ID and the processing party information. Can be said The second category directory is set as the base category directory.
  • the first category directory can be set as a base category directory.
  • the basic category directory may be a category directory finally determined by the embodiment of the present application.
  • the first embodiment of the category directory determining method disclosed in the foregoing embodiment determines the correspondence between the processing party information and the category according to the analysis of the processing party information, so as to ensure that similar resource processing records can correspond to the same category. Therefore, the category directory determined by the category directory determination method of the present application can improve the accuracy of the classification result. At the same time, receiving the message of the user changing the category, and continuously updating the current category directory according to the message of the user changing the category, can ensure that the determined category directory meets the requirements of the user, and further improves the accuracy of the classification result.
  • FIG. 2 is a flow chart of a second embodiment of the method for determining the category of the present application. As shown in FIG. 2, the present embodiment is different from the first embodiment of the category directory determining method. The difference is that the category directory determining method may further include:
  • S106 Perform statistics on the category change identifiers of the same category that include the third category identifier in the first time interval, and obtain a second statistical result.
  • the category change identifier of the third category identifier may be collected by the same user in the first time interval to obtain a second statistical result.
  • the user may include: in the first time interval, the fifth total number of third candidate category change identifiers in which the pre-category identifier is the same as the third category identifier in the category change identifier. And, in the first time interval, the sixth candidate category change identifier in the third candidate category change identifier has a sixth total number of fourth candidate category change identifiers whose same category identifier is the same as the fourth category identifier.
  • the second statistical result may include: a fifth total number and a sixth total quantity.
  • the second preset rule may be used to determine whether the second category directory and the second correspondence need to be changed.
  • the second preset rule may include one or more of the following:
  • the fifth total number of the second statistical results is greater than or equal to the fifth preset value, and the fifth preset value may be less than or equal to the total number of category change identifiers of the user in the first time interval.
  • the sixth total number of the second statistical results is greater than or equal to a sixth preset value, and the sixth preset value may be less than or equal to the fifth total number.
  • the correspondence between the third category ID and the corresponding processing party information in the second correspondence relationship may be changed to the processing party information and the fourth category ID.
  • the category directory generated according to the third correspondence may be a third category directory.
  • the third category directory may include one or more category IDs, and a third correspondence between the category ID and the processing party information.
  • the third category directory may be set to a user category directory corresponding to the user.
  • the user does not have a corresponding user category directory.
  • the second embodiment of the category directory determining method disclosed in the foregoing embodiment may determine a user category directory corresponding to the user for the user, and further ensure that the user requirements are met. And can further improve the accuracy of the classification results.
  • the information of the merchant A may include: the merchant name "A”, the women's clothing; the information of the merchant B may be: the merchant name "B”, the tile; the information of the merchant C may also be: the merchant name "C", the sofa.
  • the information of the merchant D can be: the merchant name "D”, the taxi software company.
  • the information of the merchant E can also be: the merchant name "E”, "Andy Lau's song”.
  • the accounting category corresponding to the merchant may be determined.
  • merchant A can correspond to the category "clothing”
  • merchant B can correspond to the category "home improvement”
  • merchant C can correspond to the category "home improvement”
  • merchant D can correspond to the category "traffic”.
  • Merchant E can correspond to the category "music”.
  • Table 1 The correspondence between specific merchants and accounting categories can be as shown in Table 1.
  • the accounting category in Table 1 can constitute the first accounting category directory.
  • the billing category can be changed at the time of billing.
  • the category directory determining means can receive a message for the user to change the billing category.
  • the user can change the accounting category message to be: user "1", merchant "B", January 1, 2014, the pre-change category "home improvement", and the changed category "building materials”.
  • An accounting category change identifier can be generated based on the user changing the category message.
  • the billing category change identifier may include: “B home improvement building materials”, “1” “20140101”. Among them, “B home improvement building materials” can be the content of the accounting category changes.
  • a statistical start time corresponding to the first category identifier in the accounting category change identifier is determined. For example, if the first category is identified as "home improvement", the time when the recent "home improvement" accounting category is changed can be used as the statistical start time. For example, the statistical start time is 20130501. Assume that the current day is 20140430. Then, the first time interval may be: 20130501-20140430.
  • the total number of category change identifiers in the category change identifier in the category change identifier is “home improvement”, for example, 50000 (that is, the first total number), where the type of user id
  • the number is, for example, 40,000 (that is, the second total number).
  • the accounting category before the change is “home improvement”, and the changed accounting category is the total number of category change identifiers of “building materials”, for example, 45000 (that is, the third total number), where the type of user id
  • the number is, for example, 30,000 (that is, the fourth total number).
  • the first preset rule is: the third total number is greater than or equal to 40,000, and the fourth total number is greater than or equal to 20000. According to the above statistical result, the first preset rule is satisfied. Then, the correspondence between the merchant B and the accounting category "home improvement" can be changed to the correspondence between the merchant B and the accounting category "building materials". The correspondence between the changed merchant and the accounting category can be as shown in Table 2.
  • the accounting categories in Table 2 may constitute a second accounting category directory.
  • the accounting category directory can be used as a basic accounting category directory for the general public.
  • the accounting category directory used by the user for a certain user.
  • the user "1" may be counted in the first time interval, and the total number of identifiers in the statistical category change identifier in which the pre-category is "home improvement" is changed, for example, 1000 (that is, the fifth total number), wherein the changed category
  • the total number of logos for "furniture” is 800 (that is, the sixth total number).
  • the second preset rule is: the fifth total number is greater than or equal to 800, and the sixth total number is greater than or equal to 600. Then, the above statistical result satisfies the second preset rule. Then, the correspondence between the merchant C and the accounting category "home improvement" can be changed to the correspondence between the merchant C and the accounting category "furniture".
  • the correspondence between the changed merchant and the accounting category can be as shown in Table 3.
  • the accounting categories in Table 3 may constitute a third accounting category directory.
  • the accounting category directory can be used as a user accounting category directory for user "1" only.
  • FIG. 3 is a flow chart of a first embodiment of the automatic classification method of the present application.
  • FIG. 3 shows a flow of a method for automatically classifying a category directory determined according to the first embodiment of the category directory determining method of the present application.
  • the automatic classification method may include:
  • the resource processing record sent by the user may be received, and the resource processing record may include: user ID, processing party information, resource quantity, and resource processing time.
  • S302 classify the resource processing records according to a second correspondence between the category in the basic category directory and the processing party information, and obtain a classification result.
  • the resource processing record may be allocated according to the processing party information included in the resource processing record and the second correspondence relationship in the first embodiment of the category directory determining method of the present application, to obtain a classification result.
  • the first embodiment of the automatic classification method disclosed above corresponds to the first embodiment of the category directory determination method of the present application, and the results obtained by the above method can improve the accuracy of the classification result, and can be classified according to the continuously updated category directory. Make the classification results more in line with the user's classification needs.
  • FIG. 4 is a flow chart of a second embodiment of the automatic classification method of the present application.
  • FIG. 3 shows a flow of a method for automatically classifying a category directory determined according to the second embodiment of the category directory determining method of the present application.
  • the automatic classification method may include:
  • S401 Receive a resource processing record sent by a user.
  • the resource processing record sent by the user may be received, and the resource processing record may include: user ID, processing party information, resource quantity, and resource processing time.
  • S402 Query whether the user has a corresponding user category directory, and if yes, classify the resource processing record according to a third correspondence between the category in the user category directory and the processing party information, and obtain Classification results.
  • the resource processing record may be classified according to a second correspondence between the category in the basic category directory and the processing party information, Get the classification results.
  • S404 The classification result obtained by classifying the user category directory or the basic category directory is fed back to the user.
  • the second embodiment of the automatic classification method disclosed above corresponds to the second embodiment of the category directory determination method of the present application, and the results obtained by the above method can improve the accuracy of the classification result, according to the user category directory corresponding to the user. Classification can ensure that the classification results obtained are more in line with the classification needs of each user.
  • FIG. 5 is a block diagram of an embodiment of the category directory determining apparatus of the present application.
  • the category directory determining means may include: a first category directory unit 501, a category change identification unit 502, a first time interval unit 503, a first statistics unit 504, and a base category directory unit 505. . among them,
  • the first category directory unit 501 may be configured to determine the first category directory according to the processing party information in the resource processing record, the first correspondence between the processing party information and the category preset.
  • the category change identification unit 502 can be configured to receive a message for the user to change the category, and generate a category change identifier including the category change content.
  • the first time interval unit 503 may be configured to determine a statistical start time corresponding to the first category identifier in the category change identifier, and determine the first category identifier according to the statistical start time. Corresponding first time interval.
  • the first statistic unit 504 may be configured to perform statistics on the category change identifiers that include the first category identifier in the first time interval, to obtain a first statistic result.
  • the basic category directory unit 505 may be configured to: if the first statistical result meets the first preset rule, change the first category directory that includes the first correspondence to be the second category that includes the second correspondence. a directory, and setting the second category as a base category directory; if not, setting the first category directory as a base category directory.
  • the category directory determining apparatus may further include: a second statistic unit 506 and a user category directory unit 507. among them,
  • the second statistic unit 506 may be configured to perform statistics on the category change identifiers that include the third category identifier in the first time interval by the same user, to obtain a second statistic result.
  • the user category directory unit 507 may be configured to: if the second statistical result meets the second preset rule, change the second category directory that includes the second correspondence to be the third category that includes the third correspondence. Directory, and set the third category as the user category directory.
  • the embodiment of the category directory determining apparatus disclosed above corresponds to the embodiment of the category directory determining method of the present application, and the method for determining the category directory of the present application can be implemented, and the technical effect of the category directory determining method is achieved.
  • FIG. 6 is a block diagram of an embodiment of an automatic sorting apparatus of the present application.
  • the automatic classification device may include: a receiving unit 601, a basic category classification result unit 602, and a feedback unit 603. among them,
  • the receiving unit 601 can be configured to receive a resource processing record sent by a user.
  • the basic category classification result unit 602 may be configured to classify the resource processing records according to a second correspondence between the category in the basic category directory and the processing party information, and obtain a classification result.
  • the feedback unit 603 can be configured to feed back the classification result to the user.
  • the automatic classification device may further include: a user category classification result unit 604.
  • the user category classification result unit 604 can be used to query whether the user in the receiving unit 601 has a corresponding user category directory. If yes, classifying the resource processing record according to a third correspondence between the category in the user category directory and the processing party information, and obtaining a classification result, and using the feedback unit 603 to use the classification result Feedback to the user. If not, the basic category classification result unit 602 is entered for processing.
  • the embodiment of the automatic classification device disclosed above corresponds to the embodiment of the automatic classification method of the present application, and can implement the automatic classification method of the present application and achieve the technical effect of the automatic classification method of the present application.
  • PLD Programmable Logic Device
  • FPGA Field Programmable Gate Array
  • HDL Hardware Description Language
  • the controller can be implemented in any suitable manner, for example, the controller can take the form of, for example, a microprocessor or processor and a computer readable medium storing computer readable program code (eg, software or firmware) executable by the (micro)processor.
  • computer readable program code eg, software or firmware
  • examples of controllers include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, The Microchip PIC18F26K20 and the Silicone Labs C8051F320, the memory controller can also be implemented as part of the memory's control logic.
  • the controller can be logically programmed by means of logic gates, switches, ASICs, programmable logic controllers, and embedding.
  • Such a controller can therefore be considered a hardware component, and the means for implementing various functions included therein can also be considered as a structure within the hardware component.
  • a device for implementing various functions can be considered as a software module that can be both a method of implementation and a structure within a hardware component.
  • the system, device, module or unit illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product having a certain function.
  • the present application can be implemented by means of software plus a necessary general hardware platform. Based on such understanding, portions of the technical solution of the present application that contribute substantially or to the prior art may be embodied in the form of a software product.
  • the computing device includes one or more processors (CPU ), input / output interface, network interface and memory.
  • the computer software product can include instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to perform the methods described in various embodiments of the present application or portions of the embodiments.
  • the computer software product can be stored in the memory
  • the memory may include non-persistent memory, random access memory (RAM), and/or non-volatile memory in a computer readable medium, such as read only memory (ROM) or flash memory.
  • RAM random access memory
  • ROM read only 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.
  • PRAM phase change memory
  • SRAM static random access memory
  • DRAM dynamic random access memory
  • RAM random access memory
  • ROM read only memory
  • EEPROM electrically erasable programmable read only memory
  • flash memory or other memory technology
  • compact disk read only memory CD-ROM
  • DVD digital versatile disk
  • 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.
  • computer readable media does not include transitory computer readable media, such as modulated data signals and carrier waves.
  • This application can be used in a variety of general purpose or special purpose computer system environments or configurations.
  • the application can be described in the general context of computer-executable instructions executed by a computer, such as a program module.
  • program modules include routines, programs, objects, components, data structures, and the like that perform particular tasks or implement particular abstract data types.
  • the present application can also be practiced in distributed computing environments where tasks are performed by remote processing devices that are connected through a communication network.
  • program modules can be located in both local and remote computer storage media including storage devices.

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Abstract

一种类目目录确定方法及装置、自动分类方法及装置。所述类目目录确定方法，包括：根据预设的第一对应关系，确定第一类目目录（S101）；接收用户更改类目的消息，并生成包含类目更改内容的类目更改标识（S102）；确定与所述类目更改标识中的第一类目标识对应的统计起始时间，根据所述统计起始时间确定与所述第一类目标识对应的第一时间间隔（S103）；对第一时间间隔内包含第一类目标识的类目更改标识进行统计，得到第一统计结果（S104）；所述第一统计结果满足第一预设规则的，更改包含第一对应关系的第一类目目录为包含第二对应关系的第二类目目录，并将所述第二类目设置为基础类目目录（S105）。可以提高资源处理记录的分类结果的精确性。

Description

一种类目目录确定方法及装置、自动分类方法及装置 技术领域
本申请涉及计算机处理技术领域，特别涉及一种类目目录确定方法及装置、自动分类方法及装置。
背景技术
在计算机处理技术领域中，资源处理系统在完成资源处理过程后，通常可以产生一个描述所述资源处理过程的记录。所述资源处理的记录，通常可以包括：用户信息、处理方信息、资源数量以及资源处理时间等。将所述资源处理的记录按照所述记录中的信息分类到几个类目中可以方便用户对资源处理的记录进行统计等工作。
现有的类目目录确定方法可以包括：将资源处理记录中处理方信息作为类目目录中的一个类目名称，将所述资源处理记录中处理方信息相同的自动归为名称相同的类目中，所有的类目组成类目目录。
在实现本申请过程中，发明人发现现有技术中至少存在如下问题：一个资源处理系统中可能包含多个子系统，相应地，该资源处理系统产生的资源处理记录中包含的处理方信息可能不完全相同，根据现有技术确定的类目目录进行分类时，可能导致应该属于相同类目名称中的资源处理记录被分配在多个类目中，因此，采用现有的类目目录确定方法得到的类目目录可能导致分类结果不精确。
发明内容
本申请实施例的目的是提供一种类目目录确定方法及装置、自动分类方法及装置，以提高资源处理记录的分类结果的精确性。
为解决上述技术问题，本申请实施例提供类目目录确定方法及装置、自动分类方法及装置是这样实现的：
一种类目目录确定方法，包括：根据资源处理记录中的处理方信息、所述处理方信息与类目之间预设的第一对应关系，确定第一类目目录；接收用户更改类目的消息，并生成包含类目更改内容的类目更改标识；确定与所述类目更改标识中的第一类目标识对应的统计起始时间，根据所述统计起始时间确定与所述第一类目标识对应的第一时间间隔；对第一时间间隔内包含第一类目标识的类目更改标识进行统计，得到第一统计结果；所述第一统计结果满足第一预设规则的，更改包含第一对应关系的第一类目目录为包含第二对应关系的第二类目 目录，并将所述第二类目设置为基础类目目录；若不满足，将所述第一类目目录设置为基础类目目录。
一种自动分类方法，利用类目目录确定方法确定的类目目录进行分类，包括：接收用户发来的资源处理记录；根据基础类目目录中的类目与所述处理方信息的第二对应关系，对所述资源处理；将所述分类结果反馈给用户。
一种类目目录确定装置，包括：第一类目目录单元、类目更改标识单元、第一时间间隔单元、第一统计单元和基础类目目录单元；其中，所述第一类目目录单元，用于根据资源处理记录中的处理方信息、所述处理方信息与类目之间预设的第一对应关系，确定第一类目目录；所述类目更改标识单元，用于接收用户更改类目的消息，并生成包含类目更改内容的类目更改标识；所述第一时间间隔单元，用于确定与所述类目更改标识中的第一类目标识对应的统计起始时间，根据所述统计起始时间确定与所述第一类目标识对应的第一时间间隔；所述第一统计单元，用于对第一时间间隔内包含第一类目标识的类目更改标识进行统计，得到第一统计结果；所述基础类目目录单元，用于将所述第一统计结果满足第一预设规则的，更改包含第一对应关系的第一类目目录为包含第二对应关系的第二类目目录，并将所述第二类目设置为基础类目目录；若不满足，将所述第一类目目录设置为基础类目目录。
一种自动分类装置，包括：接收单元、基础类目分类结果单元和反馈单元；其中，所述接收单元，用于接收用户发来的资源处理记录；所述基础类目分类结果单元，用于根据基础类目目录中的类目与所述处理方信息的第二对应关系，对所述资源处理记录进行分类并得到分类结果；所述反馈单元，用于将所述分类结果反馈给用户。
由以上本申请实施例提供的技术方案可见，本申请实施例公开的类目目录确定方法及装置，根据对处理方信息的分析，确定所述处理方信息与类目的对应关系，从而保证类似的资源处理记录可以对应相同的类目，可以提高分类结果的精确性。同时，接收用户更改类目的消息，并根据所述用户更改类目的消息不断更新当前的类目目录，可以保证确定的类目目录符合用户的需求，进一步提高分类结果的精确性。自动分类方法及装置采用本申请类目目录确定方法及装置的结果进行分类，得到的结果可以提高分类结果的准确性，根据不断更新的类目目录进行分类可以使得分类结果更符合用户的分类需求。
进一步地，本申请可以为用户确定与该用户对应的用户类目目录，可以进一步保证符合用户需求，同时可以进一步提高分类结果的准确性。
附图说明
为了更清楚地说明本申请实施例或现有技术中的技术方案，下面将对实施例或现有技术 描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本申请中记载的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动性的前提下，还可以根据这些附图获得其他的附图。
图1是本申请类目目录确定方法第一实施例的流程图；
图2是本申请类目目录确定方法第二实施例的流程图；
图3是本申请自动分类方法第一实施例的流程图；
图4是本申请自动分类方法第二实施例的流程图；
图5是本申请类目目录确定装置实施例的模块图；
图6是本申请自动分类装置实施例的模块图。
具体实施方式
本申请实施例提供一种类目目录确定方法及装置、自动分类方法及装置。
为了使本技术领域的人员更好地理解本申请中的技术方案，下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都应当属于本申请保护的范围。
要保证资源处理记录分类结果准确，需要确定分类准确的类目目录，根据分类准确的类目目录进行分类，可以得到准确的分类结果。
下面介绍本申请类目目录确定方法的实施例。
图1是本申请类目目录确定方法第一实施例的流程图。如图1所述类目确定方法可以包括：
S101：根据资源处理记录中的处理方信息、所述处理方信息与类目之间预设的第一对应关系，确定第一类目目录。
根据资源处理记录中的处理方信息、所述处理方信息与类目之间预设的第一对应关系，确定第一类目目录。所述处理方信息可以包括：处理资源的系统方名称、处理资源的系统方的属性等信息。
所述处理方信息与类目之间的第一对应关系可以预先设置。
所述第一对应关系可以根据分析处理方信息来确定。所述第一对应关系可以根据处理方信息对应的处理方来确定，也可以根据处理方信息对应的处理方的属性来确定。
例如，资源系统A中包括子系统A1和A2，则第一对应关系中，内容为A1或A2的处理方信息都可以与类目名称为A的类目相对应。再例如，资源系统B与资源系统C都是关于交通的 资源处理系统，则第一对应关系中，内容为B或C的处理方信息都可以与类目名称为“交通”的类目相对应。
所述第一对应关系还可以根据对所述处理方信息进行关键字分析来进行确定。例如，所述处理方信息为“刘德华的歌曲”，则通过对该处理方信息进行关键字分析，所述“刘德华”与所述“歌曲”都属于音乐这一领域，可以将所述处理方信息“刘德华的歌曲”与类目名称为“音乐”的类目建立对应关系。
所述的第一对应关系可以是：一个或多个资源处理方信息对应一个类目。
根据资源处理记录中的处理方信息与类目之间的第一对应关系，可以确定第一类目目录。所述类目目录可以包括一个或多个类目的类目标识(类目ID)以及与所述类目ID对应的类目名称。所述类目目录还可以包括处理方信息与类目之间的第一对应关系。
S102：接收用户更改类目的消息，并生成包含类目更改内容的类目更改标识。
类目目录确定装置可以接收用户更改某个资源处理记录所属类目的消息。所述更改资源处理记录所属类目的消息可以包括：用户标识符(用户ID)、资源处理记录中的处理方信息、类目更改时间、更改前类目ID和更改后类目ID。所述用户更改类目的消息，可以在用户更改类目划分时自动生成，并发送给类目目录确定装置。
类目目录确定装置可以根据所述更改类目划分的消息生成类目更改标识。所述类目更改标识可以包括：类目更改内容、用户ID、类目更改时间。所述类目更改内容可以包括：处理方信息、更改前类目ID和更改后类目ID。
S103：确定与所述类目更改标识中的第一类目标识对应的统计起始时间，根据所述统计起始时间确定与所述第一类目标识对应的第一时间间隔。
类目目录确定装置可以确定与所述类目更改标识中的第一类目标识(第一类目ID)对应的统计起始时间。所述第一类目ID可以是所述类目更改标识中的任意一个更改前类目ID。
确定第一类目ID对应的统计起始时间可以包括：将第一类目ID所在目录最近对第一类目进行更改的时间作为第一类目ID对应的统计起始时间。
所述确定统计起始时间的操作可以每隔预设的时间间隔进行一次。所述预设的时间间隔可以又用户预先设置在类目目录确定装置中。
根据所述统计起始时间，可以确定与所述第一类目ID相对应的第一时间间隔。具体地，与第一类目ID对应的统计起始时间与当前时间的时间差可以作为与第一类目ID相对应的第一时间间隔。
S104：对第一时间间隔内包含第一类目标识的类目更改标识进行统计，得到第一统计结果。
类目目录确定装置可以对第一时间间隔内包含第一类目标识的类目更改标识进行统计，得到第一统计结果。具体地，可以统计第一时间间隔内所述更改前类目ID与第一类目ID相同的第一候选类目更改标识的第一总数量，第一候选类目更改标识中用户ID种类的第二总数量，第一候选类目更改标识中更改后类目ID与第二类目ID相同的第二候选类目更改标识的第三总数量，以及所述第二候选类目更改标识中用户ID种类的第四总数量。所述第二类目ID与第一类目ID不相同。所述第一统计结果可以包括：第一总数量、第二总数量、第三总数量和第四总数量。
例如，第一类目ID为“A”，第二类目ID为“B”。可以统计类目更改标识中更改前类目ID为“A”的第一候选类目更改标识的总个数，并将该总个数作为第一总数量。可以统计第一候选类目更改标识中用户ID的种类数，并将该种类数作为第二总数量。可以第一候选类目更改标识中更改后类目ID为“B”的第二候选类目更改标识的总个数，并将该总个数作为第三总数量。可以统计所述第二候选类目更改标识中用户ID的种类数，并将该种类数作为第四总数量。
S105：所述第一统计结果满足第一预设规则的，更改包含第一对应关系的第一类目目录为包含第二对应关系的第二类目目录，并将所述第二类目设置为基础类目目录；若不满足，将所述第一类目目录设置为基础类目目录。
比较所述第一统计结果与第一预设规则。所述第一预设规则可以用于确定是否需要更改第一类目目录及第一对应关系。
所述第一预设规则可以包括下述中的一个或多个：
第一统计结果中的第一总数量大于或等于第一预设值，所述第一预设值可以小于或等于所述类目更改标识的总个数。
第一统计结果中的第二总数量大于或等于第二预设值，所述第二预设值可以小于或等于所述类目更改标识对应的用户ID种类的总数且小于或等于第一总数量。
第一统计结果中的第三总数量大于或等于第三预设值，所述第三预设值可以小于或等于第一总数量。
第一统计结果中的第四总数量大于或等于第四预设值，所述第四预设值可以小于或等于第三总数量。
所述第一统计结果满足第一预设规则的，可以将第一对应关系中第一类目ID及对应的处理方信息之间的对应关系更改为所述处理方信息与第二类目ID之间的对应关系，并形成第二对应关系。根据所述第二对应关系生成的类目目录可以是第二类目目录。第二类目目录中可以包含一个或多个类目ID，以及该类目ID与处理方信息之间的第二对应关系。可以将所述第 二类目目录设置为基础类目目录。
所述第一统计结果不满足第一预设规则的，包含第一对应关系的第一类目目录不改变。可以所述第一类目目录设置为基础类目目录。
所述基础类目目录可以是本申请实施例最终确定的类目目录。
上述实施例公开的类目目录确定方法的第一实施例，根据对处理方信息的分析，确定所述处理方信息与类目的对应关系，从而保证类似的资源处理记录可以对应相同的类目，因此本申请的类目目录确定方法确定的类目目录可以提高分类结果的精确性。同时，接收用户更改类目的消息，并根据所述用户更改类目的消息不断更新当前的类目目录，可以保证确定的类目目录符合用户的需求，进一步提高分类结果的精确性。
下面介绍本申请类目目录确定方法第二实施例。
图2是本申请类目目录确定方法第二实施例的流程图。如图2所示，本实施例与类目目录确定方法第一实施例相比，区别在于，所述类目目录确定方法还可以包括：
S106：对同一用户在第一时间间隔内包含第三类目标识的类目更改标识进行统计，得到第二统计结果。
可以对同一用户在第一时间间隔内包含第三类目标识的类目更改标识进行统计，得到第二统计结果。
具体地，可以包括：该用户在第一时间间隔内，类目更改标识中更改前类目标识与第三类目标识相同的第三候选类目更改标识的第五总数量。以及，该用户在第一时间间隔内，所述第三候选类目更改标识中更改后类目标识与第四类目标识相同的第四候选类目更改标识的第六总数量。
所述第二统计结果可以包括：第五总数量和第六总数量。
S107：所述第二统计结果满足第二预设规则的，更改包含第二对应关系的第二类目目录为包含第三对应关系的第三类目目录，并将所述第三类目设置为用户类目目录。
比较所述第二统计结果与第二预设规则。所述第二预设规则可以用于确定是否需要更改第二类目目录及第二对应关系。
所述第二预设规则可以包括下述中的一个或多个：
第二统计结果中的第五总数量大于或等于第五预设值，所述第五预设值可以小于或等于该用户在第一时间间隔内的类目更改标识的总个数。
第二统计结果中的第六总数量大于或等于第六预设值，所述第六预设值可以小于或等于第五总数量。
所述第二统计结果满足第二预设规则的，可以将第二对应关系中第三类目ID及对应的处理方信息之间的对应关系更改为所述处理方信息与第四类目ID之间的对应关系，并形成第三对应关系。根据所述第三对应关系生成的类目目录可以是第三类目目录。第三类目目录中可以包含一个或多个类目ID，以及该类目ID与处理方信息之间的第三对应关系。可以将所述第三类目目录设置为该用户对应的用户类目目录。
所述第二统计结果不满足第二预设规则的，该用户不存在对应的用户类目目录。
上述实施例公开的类目目录确定方法第二实施例，在类目目录确定方法第一实施例的基础上，可以为用户确定与该用户对应的用户类目目录，可以进一步保证符合用户需求，且可以进一步提高分类结果的准确性。
下面结合一个确定记账类目的应用场景介绍上述类目目录确定方法。
假设，商户A的信息可以包括：商户名称“A”、女装；商户B的信息可以是：商户名称“B”、瓷砖；商户C的信息还可以是：商户名称“C”、沙发。商户D的信息可以是：商户名称“D”、打车软件公司。商户E的信息还可以是：商户名称“E”、“刘德华的歌曲”。
根据预设的第一对应关系，可以确定与所述商户相对应的记账类目。例如，商户A可以与类目“服装”相对应，商户B可以与类目“家装”相对应，商户C可以与类目“家装”相对应，商户D可以与类目“交通”相对应，商户E可以与类目“音乐”相对应。具体的商户与记账类目之间的对应关系可以如表1所示。
表1
商户 记账类目
A 服装
B 家装
C 家装
D 交通
E 音乐
表1中的记账类目，可以构成第一记账类目目录。
用户对第一记账类目的设立不满意时，可以在记账时更改记账类目。类目目录确定装置可以接收用户更改记账类目的消息。例如，用户更改记账类目的消息可以是：用户“1”、商户“B”、2014年1月1日、更改前类目“家装”、更改后类目“建材”。根据所述用户更改类目的消息，可以生成记账类目更改标识。所述记账类目更改标识可以包括：“B家装建材”、“1”“20140101”。其中“B家装建材”可以是记账类目更改内容。类似地，还可 以接收若干用户更改记账类目的消息，并生成对应的记账类目更改标识。
首先确定所述记账类目更改标识中与第一类目标识对应的统计起始时间。例如第一类目标识为“家装”，则可以将最近对“家装”这一记账类目进行更改的时间作为统计起始时间。例如统计起始时间为20130501。假设当前日为20140430。则，第一时间间隔可以为：20130501-20140430。
统计第一时间间隔内，类目更改标识中更改前的记账类目为“家装”的类目更改标识总个数，例如为50000(即为第一总数量)，其中，用户id的种类数例如为40000(即为第二总数量)。更改前的记账类目为“家装”，且更改后的记账类目为“建材”的类目更改标识总个数，例如为45000(即为第三总数量)，其中用户id的种类数例如为30000(即为第四总数量)。
假设第一预设规则为：第三总数量大于或等于40000，且第四总数量大于或等于20000。根据上述统计结果，满足所述的第一预设规则。则可以将商户B与记账类目“家装”这一对应关系更改为商户B与记账类目“建材”的对应关系。更改后的商户与记账类目之间的对应关系可以如表2所示。
表2
商户 记账类目
A 服装
B 建材
C 家装
D 交通
E 音乐
表2中的记账类目，可以构成第二记账类目目录。可以将该记账类目目录作为供大众使用的基础记账类目目录。
为满足个别用户的特殊需求，还可以为某一用户定制该用户使用的记账类目目录。例如，可以统计用户“1”在第一时间间隔内，统计类目更改标识中更改前类目为“家装”的标识总数目，例如为1000(即为第五总数量)，其中更改后类目为“家具”的标识总数目为800(即为第六总数量)。
假设第二预设规则为：第五总数量大于或等于800，且第六总数量大于或等于600。则上述统计结果满足所述第二预设规则。则可以将商户C与记账类目“家装”这一对应关系更改为商户C与记账类目“家具”的对应关系。更改后的商户与记账类目之间的对应关系可以如表3所示。
表3
商户 记账类目
A 服装
B 建材
C 家具
D 交通
E 音乐
表3中的记账类目，可以构成第三记账类目目录。可以将该记账类目目录作为仅供用户“1”使用的用户记账类目目录。
下面介绍本申请自动分类方法的实施例。
图3是本申请自动分类方法第一实施例的流程图。图3中示出了根据本申请类目目录确定方法第一实施例确定的类目目录进行自动分类的方法流程。所述自动分类方法可以包括：
S301：接收用户发来的资源处理记录。
可以接收用户发来的资源处理记录，所述资源处理记录中可以包括：用户ID、处理方信息、资源数量以及资源处理时间等信息。
S302：根据基础类目目录中的类目与所述处理方信息的第二对应关系，对所述资源处理记录进行分类并得到分类结果。
根据所述资源处理记录中包含的处理方信息，以及本申请类目目录确定方法第一实施例中的第二对应关系，可以对所述资源处理记录进行分配，得到分类结果。
S303：将所述分类结果反馈给用户。
上述公开的自动分类方法第一实施例与本申请类目目录确定方法第一实施例相对应，按照上述方法分类得到的结果可以提高分类结果的准确性，根据不断更新的类目目录进行分类可以使得分类结果更符合用户的分类需求。
图4是本申请自动分类方法第二实施例的流程图。图3中示出了根据本申请类目目录确定方法第二实施例确定的类目目录进行自动分类的方法流程。所述自动分类方法可以包括：
S401：接收用户发来的资源处理记录。
可以接收用户发来的资源处理记录，所述资源处理记录中可以包括：用户ID、处理方信息、资源数量以及资源处理时间等信息。
S402：查询所述用户是否存在对应的用户类目目录，若存在，根据所述用户类目目录中类目与所述处理方信息的第三对应关系，对所述资源处理记录进行分类并得到分类结果。
查询所述用户是否存在与该用户对应的用户类目目录，若存在，则优先根据所述用户类目目录中类目与所述处理方信息的第三对应关系对所述资源处理记录进行分类，得到分类结果。
S403：若所述用户没有对应的用户类目目录，根据基础类目目录中的类目与所述处理方信息的第二对应关系，对所述资源处理记录进行分类并得到分类结果。
若所述用户不存在与该用户对应的用户类目目录，则可以根据所述基础类目目录中的类目与所述处理方信息的第二对应关系，对所述资源处理记录进行分类，得到分类结果。
S404：将所述根据用户类目目录或基础类目目录进行分类得到的分类结果反馈给用户。
上述公开的自动分类方法第二实施例与本申请类目目录确定方法第二实施例相对应，按照上述方法分类得到的结果可以提高分类结果的准确性，根据与用户对应的用户类目目录进行分类，可以保证得到的分类结果更符合每个用户的分类需求。
下面介绍本申请类目目录确定装置实施例。
图5是本申请类目目录确定装置实施例的模块图。如图5所示，所述类目目录确定装置可以包括：第一类目目录单元501、类目更改标识单元502、第一时间间隔单元503、第一统计单元504和基础类目目录单元505。其中，
所述第一类目目录单元501，可以用于根据资源处理记录中的处理方信息、所述处理方信息与类目之间预设的第一对应关系，确定第一类目目录。
所述类目更改标识单元502，可以用于接收用户更改类目的消息，并生成包含类目更改内容的类目更改标识。
所述第一时间间隔单元503，可以用于确定与所述类目更改标识中的第一类目标识对应的统计起始时间，根据所述统计起始时间确定与所述第一类目标识对应的第一时间间隔。
所述第一统计单元504，可以用于对第一时间间隔内包含第一类目标识的类目更改标识进行统计，得到第一统计结果。
所述基础类目目录单元505，可以用于将所述第一统计结果满足第一预设规则的，更改包含第一对应关系的第一类目目录为包含第二对应关系的第二类目目录，并将所述第二类目设置为基础类目目录；若不满足，将所述第一类目目录设置为基础类目目录。
进一步地，所述类目目录确定装置还可以包括：第二统计单元506和用户类目目录单元507。其中，
所述第二统计单元506，可以用于对同一用户在第一时间间隔内包含第三类目标识的类目更改标识进行统计，得到第二统计结果。
所述用户类目目录单元507，可以用于将所述第二统计结果满足第二预设规则的，更改包含第二对应关系的第二类目目录为包含第三对应关系的第三类目目录，并将所述第三类目设置为用户类目目录。
上述公开的类目目录确定装置实施例与本申请类目目录确定方法实施例相对应，可以实现本申请类目目录确定方法，并达到类目目录确定方法的技术效果。
下面介绍本申请自动分类装置实施例。
图6是本申请自动分类装置实施例的模块图。如图6所示，所述自动分类装置可以包括：接收单元601、基础类目分类结果单元602和反馈单元603。其中，
所述接收单元601，可以用于接收用户发来的资源处理记录。
所述基础类目分类结果单元602，可以用于根据基础类目目录中的类目与所述处理方信息的第二对应关系，对所述资源处理记录进行分类并得到分类结果。
所述反馈单元603，可以用于将所述分类结果反馈给用户。
进一步地，所述自动分类装置还可以包括：用户类目分类结果单元604。
所述用户类目分类结果单元604，可以用于查询接收单元601中的所述用户是否存在对应的用户类目目录。若存在，根据所述用户类目目录中类目与所述处理方信息的第三对应关系，对所述资源处理记录进行分类并得到分类结果，并利用所述反馈单元603将所述分类结果反馈给用户。若不存在，进入所述基础类目分类结果单元602进行处理。
上述公开的自动分类装置实施例与本申请自动分类方法实施例相对应，可以实现本申请自动分类方法，并达到本申请自动分类方法的技术效果。
在20世纪90年代，对于一个技术的改进可以很明显地区分是硬件上的改进(例如，对二极管、晶体管、开关等电路结构的改进)还是软件上的改进(对于方法流程的改进)。然而，随着技术的发展，当今的很多方法流程的改进已经可以视为硬件电路结构的直接改进。设计人员几乎都通过将改进的方法流程编程到硬件电路中来得到相应的硬件电路结构。因此，不能说一个方法流程的改进就不能用硬件实体模块来实现。例如，可编程逻辑器件(Programmable Logic Device,PLD)(例如现场可编程门阵列(Field Programmable Gate Array，FPGA))就是这样一种集成电路，其逻辑功能由用户对器件编程来确定。由设计人员自行编程来把一个数字系统“集成”在一片PLD上，而不需要请芯片制造厂商来设计和制作专用的集成电路芯片2。而且，如今，取代手工地制作集成电路芯片，这种编程也多半改用“逻辑编译器(logic compiler)”软件来实现，它与程序开发撰写时所用的软件编译器相 类似，而要编译之前的原始代码也得用特定的编程语言来撰写，此称之为硬件描述语言(Hardware Description Language，HDL)，而HDL也并非仅有一种，而是有许多种，如ABEL(Advanced Boolean Expression Language)、AHDL(Altera Hardware Description Language)、Confluence、CUPL(Cornell University Programming Language)、HDCal、JHDL(Java Hardware Description Language)、Lava、Lola、MyHDL、PALASM、RHDL(Ruby Hardware Description Language)等，目前最普遍使用的是VHDL(Very-High-Speed Integrated Circuit Hardware Description Language)与Verilog2。本领域技术人员也应该清楚，只需要将方法流程用上述几种硬件描述语言稍作逻辑编程并编程到集成电路中，就可以很容易得到实现该逻辑方法流程的硬件电路。
控制器可以按任何适当的方式实现，例如，控制器可以采取例如微处理器或处理器以及存储可由该(微)处理器执行的计算机可读程序代码(例如软件或固件)的计算机可读介质、逻辑门、开关、专用集成电路(Application Specific Integrated Circuit，ASIC)、可编程逻辑控制器和嵌入微控制器的形式，控制器的例子包括但不限于以下微控制器：ARC 625D、Atmel AT91SAM、Microchip PIC18F26K20以及Silicone Labs C8051F320，存储器控制器还可以被实现为存储器的控制逻辑的一部分。
本领域技术人员也知道，除了以纯计算机可读程序代码方式实现控制器以外，完全可以通过将方法步骤进行逻辑编程来使得控制器以逻辑门、开关、专用集成电路、可编程逻辑控制器和嵌入微控制器等的形式来实现相同功能。因此这种控制器可以被认为是一种硬件部件，而对其内包括的用于实现各种功能的装置也可以视为硬件部件内的结构。或者甚至，可以将用于实现各种功能的装置视为既可以是实现方法的软件模块又可以是硬件部件内的结构。
上述实施例阐明的系统、装置、模块或单元，具体可以由计算机芯片或实体实现，或者由具有某种功能的产品来实现。
为了描述的方便，描述以上装置时以功能分为各种单元分别描述。当然，在实施本申请时可以把各单元的功能在同一个或多个软件和/或硬件中实现。
通过以上的实施方式的描述可知，本领域的技术人员可以清楚地了解到本申请可借助软件加必需的通用硬件平台的方式来实现。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，在一个典型的配置中，计算设备包括一个或多个处理器(CPU)、输入/输出接口、网络接口和内存。该计算机软件产品可以包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本申请各个实施例或者实施例的某些部分所述的方法。该计算机软件产品可以存储在内存 中，内存可能包括计算机可读介质中的非永久性存储器，随机存取存储器(RAM)和/或非易失性内存等形式，如只读存储器(ROM)或闪存(flash RAM)。内存是计算机可读介质的示例。计算机可读介质包括永久性和非永久性、可移动和非可移动媒体可以由任何方法或技术来实现信息存储。信息可以是计算机可读指令、数据结构、程序的模块或其他数据。计算机的存储介质的例子包括，但不限于相变内存(PRAM)、静态随机存取存储器(SRAM)、动态随机存取存储器(DRAM)、其他类型的随机存取存储器(RAM)、只读存储器(ROM)、电可擦除可编程只读存储器(EEPROM)、快闪记忆体或其他内存技术、只读光盘只读存储器(CD-ROM)、数字多功能光盘(DVD)或其他光学存储、磁盒式磁带，磁带磁磁盘存储或其他磁性存储设备或任何其他非传输介质，可用于存储可以被计算设备访问的信息。按照本文中的界定，计算机可读介质不包括短暂电脑可读媒体(transitory media)，如调制的数据信号和载波。
本说明书中的各个实施例均采用递进的方式描述，各个实施例之间相同相似的部分互相参见即可，每个实施例重点说明的都是与其他实施例的不同之处。尤其，对于系统实施例而言，由于其基本相似于方法实施例，所以描述的比较简单，相关之处参见方法实施例的部分说明即可。
本申请可用于众多通用或专用的计算机系统环境或配置中。例如：个人计算机、服务器计算机、手持设备或便携式设备、平板型设备、多处理器系统、基于微处理器的系统、置顶盒、可编程的消费电子设备、网络PC、小型计算机、大型计算机、包括以上任何系统或设备的分布式计算环境等等。
本申请可以在由计算机执行的计算机可执行指令的一般上下文中描述，例如程序模块。一般地，程序模块包括执行特定任务或实现特定抽象数据类型的例程、程序、对象、组件、数据结构等等。也可以在分布式计算环境中实践本申请，在这些分布式计算环境中，由通过通信网络而被连接的远程处理设备来执行任务。在分布式计算环境中，程序模块可以位于包括存储设备在内的本地和远程计算机存储介质中。
虽然通过实施例描绘了本申请，本领域普通技术人员知道，本申请有许多变形和变化而不脱离本申请的精神，希望所附的权利要求包括这些变形和变化而不脱离本申请的精神。

Claims (19)

  1. 一种类目目录确定方法，其特征在于，包括：
    根据资源处理记录中的处理方信息、所述处理方信息与类目之间预设的第一对应关系，确定第一类目目录；
    接收用户更改类目的消息，并生成包含类目更改内容的类目更改标识；
    确定与所述类目更改标识中的第一类目标识对应的统计起始时间，根据所述统计起始时间确定与所述第一类目标识对应的第一时间间隔；
    对第一时间间隔内包含第一类目标识的类目更改标识进行统计，得到第一统计结果；
    所述第一统计结果满足第一预设规则的，更改包含第一对应关系的第一类目目录为包含第二对应关系的第二类目目录，并将所述第二类目设置为基础类目目录；若不满足，将所述第一类目目录设置为基础类目目录。
  2. 如权利要求1所述的一种类目目录确定方法，其特征在于，所述处理方信息与类目之间预设的第一对应关系根据分析处理方信息来确定，具体包括：根据处理方信息对应的处理方来确定；或，根据处理方信息对应的处理方的属性来确定；或，根据对所述处理方信息进行关键字分析来进行确定。
  3. 如权利要求1所述的一种类目目录确定方法，其特征在于，所述的第一对应关系包括：一个或多个资源处理方信息对应一个类目。
  4. 如权利要求1所述的一种类目目录确定方法，其特征在于，所述类目目录包括：一个或多个类目的类目标识、与所述类目标识对应的类目名称和处理方信息与类目之间的第一对应关系。
  5. 如权利要求1所述的一种类目目录确定方法，其特征在于，所述更改类目的消息包括：用户标识符、资源处理记录中的处理方信息、类目更改时间、更改前类目标识和更改后类目标识。
  6. 如权利要求1所述的一种类目目录确定方法，其特征在于，所述类目更改标识包括：类目更改内容、用户标识、类目更改时间；所述类目更改内容包括：处理方信息、更改前类目标识和更改后类目标识。
  7. 如权利要求1所述的一种类目目录确定方法，其特征在于，所述对第一时间间隔内包含第一类目标识的类目更改标识进行统计，包括：
    统计第一时间间隔内所述更改前类目标识与第一类目标识相同的第一候选类目更改标识的第一总数量；
    统计第一候选类目更改标识中用户标识种类的第二总数量；
    统计第一候选类目更改标识中更改后类目标识与第二类目标识相同的第二候选类目更改标识的第三总数量；
    以及，统计所述第二候选类目更改标识中用户标识种类的第四总数量。
  8. 如权利要求7所述的一种类目目录确定方法，其特征在于，所述第一统计结果包括：第一总数量、第二总数量、第三总数量和第四总数量。
  9. 如权利要求7所述的一种类目目录确定方法，其特征在于，所述第一预设规则包括下述中的一个或多个：
    第一总数量大于或等于第一预设值，所述第一预设值小于或等于所述类目更改标识的总个数；
    第二总数量大于或等于第二预设值，所述第二预设值小于或等于所述类目更改标识对应的用户标识种类的总数且小于或等于第一总数量；
    第三总数量大于或等于第三预设值，所述第三预设值小于或等于第一总数量；
    第四总数量大于或等于第四预设值，所述第四预设值小于或等于第三总数量。
  10. 如权利要求1所述的一种类目目录确定方法，其特征在于，所述方法还包括：
    对同一用户在第一时间间隔内包含第三类目标识的类目更改标识进行统计，得到第二统计结果；
    所述第二统计结果满足第二预设规则的，更改包含第二对应关系的第二类目目录为包含第三对应关系的第三类目目录，并将所述第三类目设置为用户类目目录。
  11. 如权利要求10所述的一种类目目录确定方法，其特征在于，对同一用户在第一时间间隔内包含第三类目标识的类目更改标识进行统计，包括：
    统计所述用户在第一时间间隔内，类目更改标识中更改前类目标识与第三类目标识相同的第三候选类目更改标识的第五总数量；
    以及，所述用户在第一时间间隔内，所述第三候选类目更改标识中更改后类目标识与第四类目标识相同的第四候选类目更改标识的第六总数量。
  12. 如权利要求11所述的一种类目目录确定方法，其特征在于，所述第二统计结果包括：第五总数量和第六总数量。
  13. 如权利要求11所述的一种类目目录确定方法，其特征在于，所述第二预设规则包括下述中的一个或多个：
    第五总数量大于或等于第五预设值，所述第五预设值小于或等于该用户在第一时间间隔内的类目更改标识的总个数；
    第六总数量大于或等于第六预设值，所述第六预设值小于或等于第五总数量。
  14. 一种自动分类方法，其特征在于，利用类目目录确定方法确定的类目目录进行分类，包括：
    接收用户发来的资源处理记录；
    根据基础类目目录中的类目与所述处理方信息的第二对应关系，对所述资源处理；
    将所述分类结果反馈给用户。
  15. 如权利要求14所述的一种自动分类方法，其特征在于，在接收用户发来的资源处理记录之后，所述方法还包括：
    查询所述用户是否存在对应的用户类目目录，若存在，根据所述用户类目目录中类目与所述处理方信息的第三对应关系，对所述资源处理记录进行分类并得到分类结果；
    相应地，若所述用户没有对应的用户类目目录，根据基础类目目录中的类目与所述处理方信息的第二对应关系，对所述资源处理记录进行分类并得到分类结果；将所述根据用户类目目录或基础类目目录进行分类得到的分类结果反馈给用户。
  16. 一种类目目录确定装置，其特征在于，包括：第一类目目录单元、类目更改标识单元、第一时间间隔单元、第一统计单元和基础类目目录单元；其中，
    所述第一类目目录单元，用于根据资源处理记录中的处理方信息、所述处理方信息与类目之间预设的第一对应关系，确定第一类目目录；
    所述类目更改标识单元，用于接收用户更改类目的消息，并生成包含类目更改内容的类目更改标识；
    所述第一时间间隔单元，用于确定与所述类目更改标识中的第一类目标识对应的统计起始时间，根据所述统计起始时间确定与所述第一类目标识对应的第一时间间隔；
    所述第一统计单元，用于对第一时间间隔内包含第一类目标识的类目更改标识进行统计，得到第一统计结果；
    所述基础类目目录单元，用于将所述第一统计结果满足第一预设规则的，更改包含第一对应关系的第一类目目录为包含第二对应关系的第二类目目录，并将所述第二类目设置为基础类目目录；若不满足，将所述第一类目目录设置为基础类目目录。
  17. 如权利要求16所述的一种类目目录确定装置，其特征在于，还包括：第二统计单元和用户类目目录单元；其中，
    所述第二统计单元，用于对同一用户在第一时间间隔内包含第三类目标识的类目更改标识进行统计，得到第二统计结果；
    所述用户类目目录单元，用于将所述第二统计结果满足第二预设规则的，更改包含第二对应关系的第二类目目录为包含第三对应关系的第三类目目录，并将所述第三类目设置为用 户类目目录。
  18. 一种自动分类装置，其特征在于，包括：接收单元、基础类目分类结果单元和反馈单元；其中，
    所述接收单元，用于接收用户发来的资源处理记录；
    所述基础类目分类结果单元，用于根据基础类目目录中的类目与所述处理方信息的第二对应关系，对所述资源处理记录进行分类并得到分类结果；
    所述反馈单元，用于将所述分类结果反馈给用户。
  19. 如权利要求18所述的一种自动分类装置，其特征在于，还包括：用户类目分类结果单元；所述用户类目分类结果单元，用于查询接收单元中的所述用户是否存在对应的用户类目目录；
    若存在，根据所述用户类目目录中类目与所述处理方信息的第三对应关系，对所述资源处理记录进行分类并得到分类结果，并利用所述反馈单元将所述分类结果反馈给用户；若不存在，进入所述基础类目分类结果单元进行处理。
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