WO2022262448A1 - 物品筛选方法及装置、电子设备、存储介质 - Google Patents

物品筛选方法及装置、电子设备、存储介质 Download PDF

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Publication number
WO2022262448A1
WO2022262448A1 PCT/CN2022/090628 CN2022090628W WO2022262448A1 WO 2022262448 A1 WO2022262448 A1 WO 2022262448A1 CN 2022090628 W CN2022090628 W CN 2022090628W WO 2022262448 A1 WO2022262448 A1 WO 2022262448A1
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Prior art keywords
tag
item
value string
processed
screening
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PCT/CN2022/090628
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English (en)
French (fr)
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张朋
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北京沃东天骏信息技术有限公司
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Publication of WO2022262448A1 publication Critical patent/WO2022262448A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0631—Item recommendations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9532—Query formulation

Definitions

  • the present disclosure relates to the field of computer technology, and in particular, to an item screening method, an item screening device, electronic equipment, and a computer-readable storage medium.
  • the purpose of the embodiments of the present disclosure is to provide an item screening method, an item screening device, an electronic device, and a computer-readable storage medium, thereby at least to a certain extent overcoming the low efficiency of item screening and the high development cost of logic codes for item screening The problem.
  • an item screening method including: acquiring a tag sequence and an item to be processed, and determining the tag value string of the item to be processed based on the tag sequence; The screening tag sequence, and calculate the target tag numerical string of the screening tag sequence; carry out logical operation on the tag numerical string and the target tag numerical string to obtain the logical operation result; according to the logical operation result, from the to-be-processed Items are screened to get the target item.
  • an item screening device including:
  • the acquisition module is used to obtain the tag sequence and the item to be processed, and determine the tag value string of the item to be processed based on the tag sequence; the determination module is used to determine the screening tag sequence with the target item, and calculate the screening tag The target tag value string of the sequence; the calculation module is used to perform logical operations on the tag value string and the target tag value string to obtain the logical operation result; the screening module is used to select from the items to be processed according to the logical operation result
  • the target item is obtained by screening.
  • an electronic device including: a processor; and a memory, on which computer-readable instructions are stored, and the computer-readable instructions are executed by the processor to implement The article screening method described in any one of the above.
  • a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the item screening method according to any one of the above items is implemented.
  • FIG. 1 schematically shows a schematic diagram of the flow of an item screening method according to some embodiments of the present disclosure
  • Fig. 2 schematically shows a schematic diagram of the flow of a tag sequence generation method according to some embodiments of the present disclosure
  • Fig. 3 schematically shows a schematic diagram of the flow of a method for generating a tag value string according to some embodiments of the present disclosure
  • Fig. 4 schematically shows a schematic diagram of the flow of a method for generating a target label value string according to some embodiments of the present disclosure
  • Fig. 5 schematically shows a schematic diagram of a flow of a method for generating a logical operation result according to some embodiments of the present disclosure
  • Fig. 6 schematically shows a schematic diagram of the flow of a target item screening method according to some embodiments of the present disclosure
  • Fig. 7 schematically shows a schematic diagram of an item screening device according to some embodiments of the present disclosure
  • Fig. 8 schematically shows a schematic structural diagram of a computer system of an electronic device according to some embodiments of the present disclosure
  • FIG. 9 schematically illustrates a schematic diagram of a computer-readable storage medium according to some embodiments of the present disclosure.
  • Example embodiments will now be described more fully with reference to the accompanying drawings.
  • Example embodiments may, however, be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concept of example embodiments to those skilled in the art.
  • drawings are merely schematic illustrations and are not necessarily drawn to scale.
  • the block diagrams shown in the drawings are merely functional entities and do not necessarily correspond to physically separate entities. That is, these functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices entity.
  • an item screening method is firstly provided, and the item screening method can be applied to a server.
  • Fig. 1 schematically shows a flow diagram of a method for screening items according to some embodiments of the present disclosure. Shown in Fig. 1 with reference to, this article screening method can comprise the following steps:
  • step S110 the tag sequence and the item to be processed are acquired, and the tag value string of the item to be processed is determined based on the tag sequence;
  • step S120 determine the screening tag sequence corresponding to the target item, and calculate the target tag value string of the screening tag sequence
  • step S130 a logical operation is performed on the tag value string and the target tag value string to obtain a logical operation result
  • step S140 according to the logic operation result, the target item is obtained by screening from the items to be processed.
  • the item to be processed can be obtained from the logical operation result
  • the multiple tag data of the items to be processed with the screening tag sequence one by one, which avoids multiple logical judgments on the items to be processed and improves the screening efficiency of the items to be processed
  • step S110 the tag sequence and the item to be processed are acquired, and the tag value string of the item to be processed is determined based on the tag sequence.
  • the tag sequence may refer to a sequence obtained by arranging the tag data sets of items as required, for example, the tag sequence may be obtained by sorting the tag data sets of items according to the tag data of popular items Sequence, the tag sequence can also be the sequence obtained by sorting the tag data set of the item according to the tag data of the unsalable item. Of course, the tag sequence can also be the sequence obtained by sorting the tag data of the item according to the needs of other users to filter the item. The embodiment of this embodiment makes no special limitation on this.
  • the tag value string may refer to a value string composed of tag values corresponding to the tag sequence of the item to be processed.
  • the tag value string may be a value string composed of 0/1 binary tag values corresponding to the tag sequence, such as, tag
  • the sequence can be a sequence whose tag serial number is 1, and the tag data is a gift.
  • the item to be processed can be A, and A is a gift.
  • the tag value string can be composed of a binary value 1 corresponding to the tag sequence whose tag serial number is 1.
  • the value string of the tag value string can also be a value string composed of decimal tag values corresponding to the tag sequence.
  • the tag value string can also be a value string composed of other tag values corresponding to the tag sequence of the item to be processed. This The embodiment does not specifically limit this.
  • the tag data of the item can be integrated through the common tag caliber of the item, and the tag data of the item can be sorted to obtain the tag sequence according to the user's item screening requirements. At the same time, classify and process the items to be processed according to the tag sequence, and determine the tag value string of the items to be processed. For example, according to the general tags of the items in the clearing scene of the existing intelligent product selection system, the tag data of the items can be sorted to obtain the label sequence of the clearing scene. Furthermore, after processing the item to be processed according to the tag sequence, a binary tag value string of the item to be processed can be obtained.
  • Table 1 schematically shows the tag sequence list of the smart selection according to some embodiments of the present disclosure.
  • the tag data of the item can be integrated through the general tag caliber of the item, and the tag data of the item can be sorted according to the business requirements in the business scenario to obtain the tag sequence of the item; where the tag sequence can include the tag name and the tag serial number.
  • the commodity to be processed can be classified according to the tag sequence, the tag value corresponding to the commodity to be processed and the tag sequence can be determined, and then the tag value string of the commodity to be processed can be composed of multiple tag values.
  • the original solution x belongs to both a new brand and a new product (within 90 days of creation), and it is also a direct delivery from the manufacturer.
  • the binary label value string of the original solution x based on the above 15 label sequences can be 000001100000010, and the original solution x
  • the decimal label value string can be 770.
  • step S120 a screening tag sequence corresponding to the target item is determined, and a target tag value string of the screening tag sequence is calculated.
  • the filter label sequence may refer to a label sequence corresponding to the user's item filter condition.
  • the screening tag sequence can also be other related to the user
  • the tag sequence corresponding to the item screening condition is not specifically limited in this embodiment.
  • the target tag value string can refer to the tag value string corresponding to the filter tag sequence.
  • the target tag value string can be a binary tag value string corresponding to the filter tag sequence, and the target tag value string can also be a decimal value string corresponding to the filter tag sequence.
  • the binary label value string corresponding to the screening label sequence can be 000010001100000, and the binary label value string corresponding to the screening label sequence can be 1120.
  • the target label value string can also be corresponding to other screening label sequences
  • the tag value string is not specifically limited in this embodiment.
  • the screening tag sequence of the item to be processed can be determined, and the target tag value string used to filter the item to be processed can be calculated according to the screening tag sequence, so as to avoid developing multiple items to be processed according to the user's item screening condition
  • the screening logic code only needs to calculate the logical operation result of the tag value string of the item to be processed and the target tag value string, and according to the logical operation result, the target item is screened from the items to be processed, which improves the screening efficiency of the item to be processed.
  • step S130 a logical operation is performed on the tag value string and the target tag value string to obtain a logical operation result.
  • performing a logical operation on the tag value string and the target tag value string may refer to unifying the format of the tag value string and the target tag value string and performing logical operations
  • the tag value string may be Unify the value string of the target label and the target label into a binary value string, and perform Boolean operations such as logical AND operations. It is also possible to unify the label value string and the target label value string into a decimal value string and perform logical AND operations.
  • the label value can also be Strings and target label numeric strings are converted into numeric strings in other formats and logical operations are performed, which is not specifically limited in this embodiment.
  • the items to be processed can be classified and processed, and the tag value string of the item to be processed can be determined according to the tag sequence described by the item to be processed.
  • the screening label sequence of the item to be processed is determined according to the item screening condition of the user, and the target label value string of the screening label sequence is calculated.
  • logical operation is performed on the tag value string of the item to be processed and the target tag value string to obtain a logical operation result, and according to the logical operation result, it is determined whether the item to be processed is a target item matching the filtering condition.
  • step S140 according to the result of the logical operation, the target item is screened from the items to be processed.
  • the target item may refer to an item that meets the user's filter condition among the items to be processed. Items, of course, the target item may also be other items that meet the user's filtering conditions, which is not specifically limited in this embodiment.
  • the target product can be screened from the items to be processed, avoiding the development of multiple logics that meet the user's filtering conditions for each item to be processed
  • the code also avoids multiple logical judgments on the logic code of the item to be processed according to the user's screening conditions, improves the screening efficiency of the item to be processed, and also reduces the development cost of the logic code for screening the target item.
  • Fig. 2 schematically shows a flow diagram of a method for generating a tag sequence according to some embodiments of the present disclosure.
  • the tag sequence generation method may include the following steps:
  • step S210 obtain the item to be processed, a tag data list corresponding to the item to be processed, and an active item table;
  • step S220 determine the active tag data in the active item table
  • step S230 the tag data in the tag data list is sorted according to the active tag data, and a tag sequence corresponding to the tag data list is generated.
  • the tag data list can refer to the general tag information list of the items to be processed.
  • the tag data list can be the tag information list of the items to be processed based on the integration of common tag calibers, and the tag data list can also be the item to be processed according to the product test.
  • label data and logically process the label data to obtain a general label information list.
  • the label data list can also be a general label information list of items to be processed based on other methods, which is not specifically limited in this embodiment.
  • the active item table can be the tag information table of frequently traded items.
  • the active item table can be the tag information table of items with a large number of orders, and the active item table can also be the tag information table of items with a large number of orders.
  • the active item table may also be a tag information table of items with a large number of returning customers.
  • the active item table may also be a tag information table of other frequently traded items, which is not specifically limited in this embodiment.
  • Active tag data can refer to the tag data of the items in the active item table, for example, the active tag data can be the tag data related to the filter conditions in the active item table, and the active tag data can also be all tag data of the items in the active item table, of course , the active tag data may also be other tag data of items in the active item table, which is not specifically limited in this embodiment.
  • the tag data in the tag data list of the item to be processed can be integrated and sorted to generate a tag sequence corresponding to the tag data list. Since the tag data list can be a common tag information table for items, the tag sequence can be used to screen different target items. Furthermore, the tag sequence can be stored in the cache database. When it is necessary to filter new target items based on the tag data, the tag list can be called from the cache database, which avoids re-integrating and sorting the tags of general items and improves the complexity of the tag sequence. The utilization rate also improves the screening efficiency of target items.
  • Fig. 3 schematically shows a flow chart of a method for generating a tag value string according to some embodiments of the present disclosure. Shown in Fig. 3 with reference to, this label value string generation method can comprise the following steps:
  • step S310 the tag value of the tag sequence is set as a binary value
  • step S320 the tag data of the item to be processed is obtained, and the tag data is matched with the tag sequence to obtain a binary value string composed of binary values corresponding to the tag value;
  • step S330 the binary value string is converted into a decimal value string, and the decimal value string is used as the label value string.
  • the tag value can refer to the matching value between the tag data of the item to be processed and the tag sequence.
  • the tag value can be a Boolean value obtained by matching the tag data of the item to be processed with the tag sequence. For example, if the tag data of the item to be processed If it matches the tag sequence, the tag value of the item to be processed is 1. On the contrary, if the tag data of the item to be processed does not match the tag sequence, the tag value of the item to be processed is 0.
  • the tag value can also be the item to be processed Other matching values of tag data and tag sequence, which are not specifically limited in this embodiment.
  • the binary tag value corresponding to the item to be processed and the tag sequence can be obtained, and then composed of multiple binary tag values of the item to be processed String of binary values.
  • the binary value string can be converted into a decimal value string, and the decimal value string can be used as the label value string of the item to be processed. Therefore, by converting the binary value string into a decimal value string, the storage resource of the tag value string of the item to be processed can be saved, thereby improving the operating efficiency and reliability of the terminal device.
  • Fig. 4 schematically shows a flow chart of a method for generating a target label value string according to some embodiments of the present disclosure. Shown in Fig. 4 with reference to, this target label value string generation method can comprise the following steps:
  • step S410 the tag sequence is sent to the client
  • step S420 when a selection operation on the tag sequence is detected, the screening tag sequence corresponding to the selection operation is determined;
  • step S430 a binary value string corresponding to the tag value of the sieve sequence tag sequence is calculated based on the sieve sequence tag sequence
  • step S440 the binary value string is converted into a decimal value string, and the decimal value string is used as the target label value string.
  • the tag sequence can be sent to the client, and the user can set the filter conditions of the items to be processed based on the tag sequence. as a screening tag sequence.
  • the tag value of the selected tag sequence is set to 1, and a tag value string composed of multiple binary tag values is obtained.
  • the binary label value string is converted into a decimal label value string, and the decimal label value string is used as the target label value string.
  • the label sequence can be returned to the client, and the user can select multiple label sequences as the screening label sequence of the target item according to the demand.
  • the server receives the screening label sequence selected by the user, it will Automatic calculation of the target tag value string corresponding to the filter tag sequence does not need to develop logic codes that meet the filter conditions based on the filter conditions corresponding to the filter tag sequence, and based on the logic code to perform logical judgments on the products to be processed multiple times, reducing The logic code development cost for screening items to be processed also improves the screening efficiency of items to be processed.
  • Fig. 5 schematically shows a flow chart of a method for generating a logical operation result according to some embodiments of the present disclosure.
  • the logical operation result generation method may include the following steps:
  • step S510 the identification code data of the item to be processed is obtained, and an association relationship between the tag value string and the target tag value string is established based on the identification code data;
  • step S520 based on the association relationship, a logical AND operation is performed on the tag value string and the target tag value string to obtain the logical operation result.
  • the identification code data can refer to the unique identification code data of the item to be processed, for example, the identification code data can be the code data corresponding to the two-dimensional code of the item to be processed, and the identification code data can also be the factory code data of the item to be processed, Certainly, the identification code data may also be other unique identification code data of the item to be processed, which is not specifically limited in this embodiment.
  • the relationship between the tag value string of the item to be processed and the target tag value string corresponding to the screening tag sequence can be established.
  • the target item is obtained by screening the items to be processed.
  • the identification code data corresponding to the label value string is the same as the identification code data of the target label value string.
  • the association relationship between the tag value string of the item to be processed and the target tag value string can be established through the identification code data of the item to be processed, and then after calculating the logical operation result of the tag value string and the target tag value string, it can be calculated according to the logic
  • the calculation result and the item identification code data are used to screen the target item from the items to be processed, which improves the convenience of screening the target item.
  • the first item may refer to the item corresponding to the screening tag sequence screened from the items to be processed. It can detect whether the logical AND operation result of the tag value string of the item to be processed and the target tag value string corresponding to the screening tag sequence is greater than 0. If the logical AND operation result is greater than 0, it can have the identifier corresponding to the tag value string
  • the item to be processed with code data is used as the target item.
  • the logical AND operation result of the tag value string of the item to be processed and the target tag value string it can be judged whether the item to be processed with the identification code data corresponding to the tag value string is the target item, if the result of the logical AND operation is greater than 0, then The item to be processed with the identification code data corresponding to the tag value string can be used as the target item, and it is not necessary to perform multiple logical judgments on the item to be processed according to the screening conditions corresponding to the screening tag sequence, which improves the convenience of screening the target item It also improves the screening efficiency of commodities to be processed.
  • the second item may refer to an item that does not match the screening tag sequence among the items to be processed. It can detect whether the logical AND operation result of the tag value string of the item to be processed and the target tag value string corresponding to the screening tag sequence is equal to 0, and if the logical AND operation result is equal to 0, then the identifier corresponding to the tag value string can be The item to be processed with code data is used as the second item, and the second item can be positioned as the item to be returned.
  • the logical AND operation result of the tag value string of the item to be processed and the target tag value string it can be judged whether there is an item to be returned in the item to be processed. If the result of the logical AND operation is equal to 0, then the The to-be-processed items of the corresponding identification code data are used as the to-be-cleared items, and the to-be-cleared items are removed from the to-be-processed items to filter the to-be-cleared items from the to-be-processed items, and the management efficiency of the to-be-processed items is improved.
  • Fig. 6 schematically shows a schematic diagram of the flow of the target item screening method according to some embodiments of the present disclosure.
  • this target article screening method can comprise the following steps:
  • step S610 the active item table and the tag data list are obtained, and the tag data in the tag data list is sorted according to the active tag data in the active item table to obtain a tag sequence;
  • step S611 acquire the items to be processed, classify the items to be processed based on the tag sequence, and determine the binary tag value string of the items to be processed;
  • step S612 the binary tag value string is converted into a decimal tag value string, and the decimal tag value string is used as the tag value string of the item to be processed;
  • step S613 the tag sequence is sent back to the client, and the user's selection operation on the tag sequence is detected, and the screening tag sequence corresponding to the selection operation is determined;
  • step S614 calculate the binary label value string of the screening label sequence, and convert the binary label value string into a decimal label value string, and use the decimal label value string as the target label value string;
  • step S615 the identification code data of the item to be processed is obtained, and the association relationship between the tag value string and the target tag value string is established based on the identification code data;
  • step S616 based on the association relationship, a logical AND operation is performed on the tag value string and the target tag value string to obtain a logical operation result.
  • step S617 detect whether the logical operation result is greater than 0, if the logical operation result is greater than 0, then execute step S618, otherwise, jump to step S619;
  • step S618 the item to be processed with the identification code data corresponding to the tag value string is used as the target item;
  • step S619 the item to be processed having the identification code data corresponding to the tag value string is used as the item to be returned, and the item to be returned is excluded from the items to be processed.
  • the general tag data of the item can be integrated and sorted to obtain the tag sequence, and the tag value of the tag sequence is set as a binary value. If the tag data of the item to be processed belongs to the tag sequence, the tag corresponding to the tag sequence The value is 1, otherwise, the value of the label corresponding to this label sequence is 0.
  • a binary tag value string can be obtained, and then the binary tag value string can be converted into a decimal tag value string to improve the storage efficiency of the tag value string of the item to be processed.
  • the label sequence can be sent to the client, and a filter label sequence can be generated according to the user's selection operation on the label sequence. Then, calculate the binary label value string of the screening label sequence, convert the binary label value string into a decimal label value string, and use the decimal label value string as the target label value string.
  • the association between the tag value string of the item to be processed and the target tag value string corresponding to the screening tag sequence is established, and the logical AND operation of the tag value string and the target tag value string is calculated
  • the target items are screened from the items to be processed, avoiding the development of logic codes for screening target items based on the screening conditions corresponding to the screening sequence, and multiple logical judgments are made on the items to be processed according to the logic codes , which improves the screening efficiency of items to be processed, and also reduces the logic code development cost of screening target items.
  • the items to be cleared and returned can be screened out from the items to be processed, so as to improve the management efficiency of the items to be processed.
  • the item screening device 700 includes: an acquisition module 710 , a determination module 720 , a calculation module 730 , and a screening module 740 .
  • the acquisition module 710 is used to acquire the tag sequence and the item to be processed, and determines the tag value string of the item to be processed based on the tag sequence; the determination module 720 is used to determine the screening tag sequence corresponding to the target item, and calculate the The target tag value string of the screening tag sequence; the calculation module 730 is used to perform logical operations on the tag value string and the target tag value string to obtain the logical operation result; the screening module 740 is used to obtain the logical operation result from the The target item is obtained by screening the items to be processed.
  • the acquiring module 710 further includes a tag sequence generating unit, configured to acquire the item to be processed and the tag corresponding to the item to be processed A tag data list, and an active item table; determine the active tag data in the active item table; sort the tag data in the tag data list according to the active tag data, and generate tags corresponding to the tag data list sequence.
  • a tag sequence generating unit configured to acquire the item to be processed and the tag corresponding to the item to be processed A tag data list, and an active item table; determine the active tag data in the active item table; sort the tag data in the tag data list according to the active tag data, and generate tags corresponding to the tag data list sequence.
  • the acquisition module 710 further includes a label value string determination unit, the label value string determination unit is configured to set the label value of the label sequence as a binary value; Obtaining the tag data of the item to be processed, and matching the tag data with the tag sequence to obtain a binary value string composed of a binary value corresponding to the tag value; converting the binary value string into A decimal value string, and use the decimal value string as the label value string.
  • the determination module 720 further includes a target tag value string generation unit, the target tag value string generation unit is configured to send the tag sequence to the client;
  • the screening tag sequence corresponding to the selection operation is determined;
  • a binary value string corresponding to the tag value of the screening tag sequence is calculated; converting the binary value string into a decimal value string, and using the decimal value string as a target label value string.
  • the calculation module 730 further includes an association relationship establishment unit, the association relationship establishment unit is configured to obtain the identification code data of the item to be processed, and based on the The identification code data establishes an association relationship between the label numerical string and the target label numerical string; based on the association relationship, a logical AND operation is performed on the label numerical string and the target label numerical string to obtain the logical operation result.
  • the screening module 740 further includes a target item determination unit, configured to select from the A first item corresponding to the identification code data is obtained by matching among the items to be processed, and the first item is used as the target item.
  • the screening module further includes an item determination unit to be returned, and the item determination unit is configured to, if it is detected that the logic operation result is equal to 0, then Screening and obtaining a second item corresponding to the identification code data from the items to be processed, and using the second item as an item to be returned; removing the item to be returned from the items to be processed, to Filtering is performed on the items to be processed.
  • modules or units of the item screening device are mentioned in the above detailed description, this division is not mandatory.
  • the features and functions of two or more modules or units described above may be embodied in one module or unit.
  • the features and functions of one module or unit described above can be further divided to be embodied by a plurality of modules or units.
  • an electronic device capable of implementing the above item screening method is also provided.
  • FIG. 8 An electronic device 800 according to such an embodiment of the present disclosure is described below with reference to FIG. 8 .
  • the electronic device 800 shown in FIG. 8 is only an example, and should not limit the functions and scope of use of the embodiments of the present disclosure.
  • electronic device 800 takes the form of a general-purpose computing device.
  • the components of the electronic device 800 may include, but are not limited to: at least one processing unit 810, at least one storage unit 820, a bus 830 connecting different system components (including the storage unit 820 and the processing unit 810), and a display unit 840.
  • the storage unit stores program codes, and the program codes can be executed by the processing unit 810, so that the processing unit 810 executes various exemplary methods according to the present disclosure described in the "Exemplary Methods" section of this specification. Example steps.
  • the processing unit 810 may execute step S110 as shown in FIG.
  • step S120 determine the target item The screening tag sequence, and calculate the target tag value string of the screening tag sequence
  • step S130 perform logical operation on the tag value string and the target tag value string to obtain the logical operation result
  • Step S140 according to the logical operation result , and obtain the target item by screening from the items to be processed.
  • the storage unit 820 may include a readable medium in the form of a volatile storage unit, such as a random access storage unit (RAM) 821 and/or a cache storage unit 822 , and may further include a read-only storage unit (ROM) 823 .
  • RAM random access storage unit
  • ROM read-only storage unit
  • Storage unit 820 may also include a program/utility tool 824 having a set (at least one) of program modules 825, such program modules 825 including but not limited to: an operating system, one or more application programs, other program modules, and program data, Implementations of networked environments may be included in each or some combination of these examples.
  • program modules 825 including but not limited to: an operating system, one or more application programs, other program modules, and program data, Implementations of networked environments may be included in each or some combination of these examples.
  • Bus 830 may represent one or more of several types of bus structures, including a memory cell bus or memory cell controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local area using any of a variety of bus structures. bus.
  • the electronic device 800 can also communicate with one or more external devices 870 (such as keyboards, pointing devices, Bluetooth devices, etc.), and can also communicate with one or more devices that enable the user to interact with the electronic device 800, and/or communicate with Any device (eg, router, modem, etc.) that enables the electronic device 800 to communicate with one or more other computing devices. Such communication may occur through input/output (I/O) interface 850 .
  • the electronic device 800 can also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN) and/or a public network such as the Internet) through the network adapter 860 . As shown, the network adapter 860 communicates with other modules of the electronic device 800 through the bus 830 .
  • other hardware and/or software modules may be used in conjunction with electronic device 800, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives And data backup storage system, etc.
  • the example embodiments described here can be implemented by software, or by combining software with necessary hardware. Therefore, the technical solutions according to the embodiments of the present disclosure can be embodied in the form of software products, and the software products can be stored in a non-volatile storage medium (which can be CD-ROM, U disk, mobile hard disk, etc.) or on the network , including several instructions to make a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) execute the method according to the embodiment of the present disclosure.
  • a computing device which may be a personal computer, a server, a terminal device, or a network device, etc.
  • a computer-readable storage medium on which a program product capable of implementing the above-mentioned method in this specification is stored.
  • various aspects of the present disclosure may also be implemented in the form of a program product, which includes program code, and when the program product is run on a terminal device, the program code is used to make the The terminal device executes the steps according to various exemplary embodiments of the present disclosure described in the "Exemplary Method" section above in this specification.
  • a program product 900 for realizing the above-mentioned article screening method according to an embodiment of the present disclosure is described, which can adopt a portable compact disk read-only memory (CD-ROM) and include program codes, and can be used on a terminal devices, such as personal computers.
  • CD-ROM portable compact disk read-only memory
  • the program product of the present disclosure is not limited thereto.
  • a readable storage medium may be any tangible medium containing or storing a program, and the program may be used by or in combination with an instruction execution system, apparatus or device.
  • the program product may reside on any combination of one or more readable media.
  • the readable medium may be a readable signal medium or a readable storage medium.
  • the readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination thereof. More specific examples (non-exhaustive list) of readable storage media include: electrical connection with one or more conductors, portable disk, hard disk, random access memory (RAM), read only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.
  • a computer readable signal medium may include a data signal carrying readable program code in baseband or as part of a carrier wave. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing.
  • a readable signal medium may also be any readable medium other than a readable storage medium that can transmit, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device.
  • Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
  • Program code for performing the operations of the present disclosure may be written in any combination of one or more programming languages, including object-oriented programming languages—such as Java, C++, etc., as well as conventional procedural Programming language - such as "C" or a similar programming language.
  • the program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server to execute.
  • the remote computing device may be connected to the user computing device through any kind of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (for example, using an Internet service provider). business to connect via the Internet).
  • LAN local area network
  • WAN wide area network
  • Internet service provider for example, using an Internet service provider
  • the exemplary embodiments described here can be implemented by software, or by combining software with necessary hardware. Therefore, the technical solutions according to the embodiments of the present disclosure can be embodied in the form of software products, and the software products can be stored in a non-volatile storage medium (which can be CD-ROM, U disk, mobile hard disk, etc.) or on the network , including several instructions to make a computing device (which may be a personal computer, a server, a touch terminal, or a network device, etc.) execute the method according to the embodiment of the present disclosure.
  • a non-volatile storage medium which can be CD-ROM, U disk, mobile hard disk, etc.
  • a computing device which may be a personal computer, a server, a touch terminal, or a network device, etc.

Abstract

提出了一种物品筛选方法及装置、电子设备、存储介质，涉及计算机技术领域。该物品筛选方法包括：获取标签序列和待处理物品，并基于标签序列确定待处理物品的标签数值串(S110)；确定与目标物品对应的筛选标签序列，并计算筛选标签序列的目标标签数值串(S120)；将标签数值串与目标标签数值串进行逻辑运算，得到逻辑运算结果(S130)；根据逻辑运算结果，从待处理物品中筛选得到目标物品(S140)。

Description

物品筛选方法及装置、电子设备、存储介质
相关申请的交叉引用
本公开要求于2021年06月18日提交的申请号为202110679038.6、名称为“物品筛选方法及装置、电子设备、存储介质”的中国专利申请的优先权，该中国专利申请的全部内容通过引用结合在本公开中。
技术领域
本公开涉及计算机技术领域，具体而言，涉及一种物品筛选方法、物品筛选装置、电子设备以及计算机可读存储介质。
背景技术
随着互联网技术的不断发展，物品运营的场景越来越多样化，使得物品的种类、数量也不断增加。如何在智能选品系统中，快速选择与业务场景匹配的物品，成为电子商务行业发展的关键。
然而，在相关物品筛选方法中，需要根据物品标签开发多个筛选条件，并对开发的多个筛选条件进行多次逻辑判断，使得物品筛选的效率较低。同时，在新增物品筛选标签时，还需要重新制定与新增物品筛选标签对应的筛选条件，以及开发与筛选条件对应的逻辑代码，增加了物品筛选的逻辑代码开发成本。
需要说明的是，在上述背景技术部分公开的信息仅用于加强对本公开的背景的理解，因此可以包括不构成对本领域普通技术人员已知的相关技术的信息。
发明内容
本公开实施例的目的在于提供一种物品筛选方法、物品筛选装置、电子设备以及计算机可读存储介质，进而至少在一定程度上克服物品筛选效率较低，以及物品筛选的逻辑代码开发成本较大的问题。
本公开的其他特性和优点将通过下面的详细描述变得显然，或部分地通过本公开的实践而习得。
根据本公开实施例的第一方面，提供了一种物品筛选方法，包括：获取标签序列和待处理物品，并基于所述标签序列确定所述待处理物品的标签数值串；确定与目标物品对应的筛选标签序列，并计算所述筛选标签序列的目标标签数值串；将所述标签数值串与目标标签数值串进行逻辑运算，得到逻辑运算结果；根据所述逻辑运算结果，从所述待处理物品中筛选得到目标物品。
根据本公开实施例的第二方面，提供了一种物品筛选装置，包括：
获取模块，用于获取标签序列和待处理物品，并基于所述标签序列确定所述待处理物品的标签数值串；确定模块，用于确定与目标物品的筛选标签序列，并计算所述筛选标签序列的目标标签数值串；计算模块，用于将所述标签数值串与目标标签数值串进行逻辑运算，得到逻辑运算结果；筛选模块，用于根据所述逻辑运算结果，从所述待处理物品中筛选得到所述目标物品。
根据本公开实施例的第三方面，提供了一种电子设备，包括：处理器；以及存储器，所述存储器上存储有计算机可读指令，所述计算机可读指令被所述处理器执行时实现上述任意一项所述的物品筛选方法。
根据本公开实施例的第四方面，提供一种计算机可读存储介质，其上存储有计算机程序，所述计算机程序被处理器执行时实现根据上述任意一项所述的物品筛选方法。
应当理解的是，以上的一般描述和后文的细节描述仅是示例性和解释性的，并不能限制本公开。
附图说明
此处的附图被并入说明书中并构成本说明书的一部分，示出了符合本公开的实施例，并与说明书一起用于解释本公开的原理。显而易见地，下面描述中的附图仅仅是本公开的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。在附图中：
图1示意性示出了根据本公开的一些实施例的物品筛选方法流程的示意图；
图2示意性示出了根据本公开的一些实施例的标签序列生成方法流程的示意图；
图3示意性示出了根据本公开的一些实施例的标签数值串生成方法流程的示意图；
图4示意性示出了根据本公开的一些实施例的目标标签数值串生成方法流程的示意图；
图5示意性示出了根据本公开的一些实施例的逻辑运算结果生成方法流程的示意图；
图6示意性示出了根据本公开的一些实施例的目标物品筛选方法流程的示意图；
图7示意性示出了根据本公开的一些实施例的物品筛选装置的示意图；
图8示意性示出了根据本公开的一些实施例的电子设备的计算机系统的结构示意图；
图9示意性示出了根据本公开的一些实施例的计算机可读存储介质的示意图。
在附图中，相同或对应的标号表示相同或对应的部分。
具体实施方式
现在将参考附图更全面地描述示例实施方式。然而，示例实施方式能够以多种形式实施，且不应被理解为限于在此阐述的范例；相反，提供这些实施方式使得本公开将更加全面和完整，并将示例实施方式的构思全面地传达给本领域的技术人员。
此外，所描述的特征、结构或特性可以以任何合适的方式结合在一个或更多实施例中。在下面的描述中，提供许多具体细节从而给出对本公开的实施例的充分理解。然而，本领域技术人员将意识到，可以实践本公开的技术方案而没有特定细节中的一个或更多，或者可以采用其它的方法、组元、装置、步骤等。在其它情况下，不详细示出或描述公知方法、装置、实现或者操作以避免模糊本公开的各方面。
此外，附图仅为示意性图解，并非一定是按比例绘制。附图中所示的方框图仅仅是功能实体，不一定必须与物理上独立的实体相对应。即，可以采用软件形式来实现这些功能实体，或在一个或多个硬件模块或集成电路中实现这些功能实体，或在不同网络和/或处理器装置和/或微控制器装置中实现这些功能实体。
在本示例实施例中，首先提供了一种物品筛选方法，该物品筛选方法可以应用于服务端。图1示意性示出了根据本公开的一些实施例的物品筛选方法流程的示意图。参考图1所示，该物品筛选方法可以包括以下步骤：
在步骤S110中，获取标签序列和待处理物品，并基于所述标签序列确定所述待处理物品的标签数值串；
在步骤S120中，确定与目标物品对应的筛选标签序列，并计算所述筛选标签序列的目标标签数值串；
在步骤S130中，将所述标签数值串与目标标签数值串进行逻辑运算，得到逻辑运算结果；
在步骤S140中，根据所述逻辑运算结果，从所述待处理物品中筛选得到所述目标物品。
根据本示例实施例中的物品筛选方法，一方面，可以通过计算待处理物品的标签数值串和用于筛选待处理物品的目标标签数值串的逻辑运算结果，通过该逻辑运算结果从待处理物品中筛选得到目标物品，并不需要逐一将待处理物品的多个标签数据与筛序标签序列匹配，避免了对待处理物品进行多次逻辑判断，提高了待处理物品的筛选效率；另一方面，只需要基于标签序列确定待处理物品的标签数值串，并不需要针对待处理物品开发多个与筛选条件对应的逻辑代码，降低了逻辑代码开发成本；再一方面，通过标签序列和标签数值串，以及筛选标签序列和目标标签数值串，建立待处理物品和目标物品之间的逻辑关系，并根据标签数值串和目标标签数值串的逻辑运算结果，从待处理物品中筛选目标物品，提高了基于标签筛选物品的通用性和便捷性。
下面，将对本示例实施例中的物品筛选方法进行进一步的说明。
在步骤S110中，获取标签序列和待处理物品，并基于所述标签序列确定所述待处理物品的标签数值串。
在本公开的一个示例实施例中，标签序列可以指将物品的标签数据集合按需排列得到的序列，例如，标签序列可以是按照热销物品的标签数据对物品的标签数据集合进行 排序得到的序列，标签序列也可以是按照滞销物品的标签数据对物品的标签数据集合进行排序得到的序列，当然，标签序列还可以是按照其他用户筛选物品的需求对物品的标签数据进行排序得到的序列，本例实施例对此不作特殊限定。
标签数值串可以指由与待处理物品的标签序列对应的标签值组成的数值串，例如，标签数值串可以是由与标签序列对应的0/1二进制的标签值组成的数值串，如，标签序列可以是标签序列号为1，且标签数据为赠品的序列，待处理物品可以是A，且A为赠品，标签数值串可以是由与标签序列号为1的标签序列对应的二进制数值1组成的数值串，标签数值串也可以是与标签序列对应的十进制的标签值组成的数值串，当然，标签数值串还可以是待处理物品的与标签序列对应的其他标签值组成的数值串，本例实施例对此不作特殊限定。
可以通过物品通用标签口径整合物品的标签数据，并根据用户的物品筛选需求，对物品的标签数据进行排序得到标签序列。同时，按照标签序列对待处理物品进行归类处理，确定待处理物品的标签数值串。举例而言，可以根据现有的智能选品系统的清退场景中物品的通用标签，对物品的标签数据进行排序得到清退场景的标签序列。进而，在根据标签序列对待处理物品进行处理，可以得到待处理物品的二进制的标签数值串。然后，可以使用将二进制转换为十进制的编程语言如cast(conv(string，2，10)as int)，将二进制的标签数值串转换为十进制标签数值串，减少终端设备存储待处理物品的标签数值串的负担。表1示意性示出了根据本公开的一些实施例的智能选品的标签序列表。
表1 智能选品的标签序列表
Figure PCTCN2022090628-appb-000001
可以通过物品的通用标签口径整合物品的标签数据，并根据业务场景下的业务需求， 对物品的标签数据进行排序，得到物品的标签序列；其中，标签序列可以包含标签名称和标签序列号。进而，可以根据标签序列对待处理商品进行分类，确定待处理商品与标签序列对应的标签值，进而由多个标签值组成待处理商品的标签数值串。例如，x原液既属于新品牌，又属于新品(创建时间90天内)，还属于厂商直送，进而在清退场景下，基于上述15个标签序列x原液的二进制标签数值串可以是000001100000010，x原液的十进制标签数值串可以是770。
在步骤S120中，确定与目标物品对应的筛选标签序列，并计算所述筛选标签序列的目标标签数值串。
在本公开的一个示例实施例中，筛选标签序列可以指与用户的物品筛选条件对应的标签序列，例如，在物品清退场景中，用户筛选条件是从待处理物品中筛选得到赠品，筛序标签序列可以是包含赠品(报价<＝1)的标签序列，以及赠品(不可单独销售)的标签序列和赠品(可单独销售)的标签序列，当然，筛序标签序列还可以是其他与用户的物品筛选条件对应的标签序列，本例实施例对此不作特殊限定。
目标标签数值串可以指与筛选标签序列对应的标签数值串，例如，目标标签数值串可以是与筛选标签序列对应的二进制的标签数值串，目标标签数值串也可以是与筛选标签序列对应的十进制标签数值串，如在物品清退场景中，筛选标签序列可以是包含赠品(报价<＝1)的标签序列，以及赠品(不可单独销售)的标签序列和赠品(可单独销售)的标签序列，与该筛选标签序列对应的二进制的标签数值串可以是000010001100000，同时与该该筛选标签序列对应的二进制的标签数值串可以是1120，当然，目标标签数值串还可以是与其他筛选标签序列对应的标签数值串，本例实施例对此不作特殊限定。
可以根据用户的物品筛选条件，确定待处理物品的筛选标签序列，并根据筛选标签序列计算用于筛选待处理物品的目标标签数值串，避免按照用户的物品筛选条件，开发待处理物品的多个筛选逻辑代码，只需要计算待处理物品的标签数值串与目标标签数值串的逻辑运算结果，并根据该逻辑运算结果，从待处理物品中筛选得到目标物品，提高了待处理物品的筛选效率。
在步骤S130中，将所述标签数值串与目标标签数值串进行逻辑运算，得到逻辑运算结果。
在本公开的一个示例实施例中，将标签数值串与目标标签数值串进行逻辑运算可以指将标签数值串和目标标签数值串的格式进行统一，并进行逻辑运算，例如，可以将标签数值串和目标标签数值串统一为二进制数值串，并进行布尔运算如逻辑与运算，也可以将标签数值串和目标标签数值串统一为十进制数值串，并进行逻辑与运算，当然，也可以将标签数值串与目标标签数值串转换为其他格式的数值串，并进行逻辑运算，本例实施例对此不作特殊限定。
可以根据标签序列，对待处理物品进行归类处理，并根据待处理物品所述的标签序 列确定待处理物品的标签数值串。同时，根据用户的物品筛选条件确定待处理物品的筛选标签序列，并计算筛选标签序列的目标标签数值串。然后，将待处理物品的标签数值串分别与目标标签数值串进行逻辑运算，得到逻辑运算结果，并根据该逻辑运算结果确定待处理物品是否是与筛选条件匹配的目标物品。
在步骤S140中，根据所述逻辑运算结果，从所述待处理物品中筛选得到目标物品。
在本公开的一个示例实施例中，目标物品可以指待处理物品中符合用户筛选条件的物品，例如，在物品清退场景中，用户筛选条件可以是筛选售止物品，目标物品可以是售止物品，当然，目标物品还可以是其他符合用户筛选条件的物品，本例实施例对此不作特殊限定。
可以根据待处理物品的标签数值串与筛选标签序列的目标标签数值串对应的逻辑运算结果，从待处理物品中筛选得到目标商品，避免针对每个待处理物品开发多个符合用户筛选条件的逻辑代码，也避免了根据用户筛选条件对待处理物品的逻辑代码进行多次逻辑判断，提高了待处理物品的筛选效率，也降低了筛选目标物品的逻辑代码开发成本。
图2示意性示出了根据本公开的一些实施例的标签序列生成方法流程的示意图。参考图2所示，该标签序列生成方法可以包括以下步骤：
在步骤S210中，获取所述待处理物品和与所述待处理物品对应的标签数据列表，以及活跃物品表；
在步骤S220中，确定所述活跃物品表中的活跃标签数据；
在步骤S230中，根据所述活跃标签数据对所述标签数据列表中的标签数据进行排序，生成与所述标签数据列表对应的标签序列。
其中，标签数据列表可以指待处理物品通用的标签信息列表，例如，标签数据列表可以是基于通用标签口径整合的待处理物品的标签信息列表，标签数据列表也可以是根据产品测提供待处理物品的标签数据，并对标签数据进行逻辑加工得到通用的标签信息列表，当然，标签数据列表还可以是基于其他方式得到的待处理物品通用的标签信息列表，本例实施例对此不作特殊限定。
活跃物品表可以是交易频繁的物品的标签信息表，例如，活跃物品表可以是订单成交数量较大的物品的标签信息表，活跃物品表也可以是下单数量较大的物品的标签信息表，活跃物品表还可以是回客量较多的物品的标签信息表，当然，活跃物品表还可以是其他交易频繁的物品的标签信息表，本例实施例对此不作特殊限定。
活跃标签数据可以指活跃物品表中物品的标签数据，例如，活跃标签数据可以是活跃物品表中与筛选条件相关的标签数据，活跃标签数据也可以是活跃物品表中物品的所有标签数据，当然，活跃标签数据还可以是活跃物品表中物品的其他标签数据，本例实施例对此不作特殊限定。
可以根据活跃物品表中活跃标签数据，对待处理物品的标签数据列表中的标签数据进行整合和排序，生成与标签数据列表对应的标签序列。由于标签数据列表可以是物品通用的标签信息表，使得标签序列可以用于筛选不同的目标物品。进而，可以将标签序列存储到缓存数据库中，在需要根据标签数据筛选新增目标物品时，可以从缓存数据库中调用标签列表，避免了对通用物品标签再次进行整合排序，提高了标签序列的复用率，也提高了目标物品的筛选效率。
图3示意性示出了根据本公开的一些实施例的标签数值串生成方法流程的示意图。参考图3所示，该标签数值串生成方法可以包括以下步骤：
在步骤S310中，将所述标签序列的标签值设置为二进制数值；
在步骤S320中，获取所述待处理物品的标签数据，并对所述标签数据与所述标签序列进行匹配处理，得到由与所述标签值对应的二进制数值组成的二进制数值串；
在步骤S330中，将所述二进制数值串转换为十进制数值串，并将所述十进制数值串作为所述标签数值串。
其中，标签值可以指待处理物品的标签数据与标签序列的匹配值，例如，标签值可以是待处理物品的标签数据与标签序列进行匹配得到的布尔值，如，若待处理物品的标签数据与标签序列匹配，则待处理物品的标签值为1，反之，若待处理物品的标签数据与标签序列不匹配，则待处理物品的标签值为0，当然，标签值还可以是待处理物品的标签数据与标签序列的其他匹配值，本例实施例对此不作特殊限定。
可以通过获取待处理物品的标签数据，并将待处理物品的标签数据与标签序列进行匹配处理，得到待处理物品与标签序列对应的二进制标签值，进而由待处理物品的多个二进制标签值组成二进制数值串。可以根据二进制数据与十进制数据的转换代码，将二进制数值串转换为十进制数值串，并将十进制数值串作为待处理物品的标签数值串。从而，可以通过将二进制数值串转换为十进制数值串，节省待处理物品的标签数值串的存储资源，从而提高终端设备的运行效率和可靠性。
图4示意性示出了根据本公开的一些实施例的目标标签数值串生成方法流程的示意图。参考图4所示，该目标标签数值串生成方法可以包括以下步骤：
在步骤S410中，将所述标签序列发送至客户端；
在步骤S420中，在检测到对所述标签序列的选择操作时，确定与所述选择操作对应的所述筛选标签序列；
在步骤S430中，基于所述筛序标签序列计算与所述筛序标签序列的标签值对应的二进制数值串；
在步骤S440中，将所述二进制数值串转换为十进制数值串，并将所述十进制数值串作为目标标签数值串。
其中，可以将标签序列发送至客户端，用户可以基于标签序列按需设定待处理物品 的筛选条件，例如，用户可以根据筛选物品的需求选中与需求相符的标签序列，并将选中的标签序列作为筛选标签序列。同时，将选中的标签序列的标签值置1，并得到由多个二进制的标签值组成的标签数值串。进而，将二进制的标签数值串转换为十进制的标签数值串，并将十进制的标签数值串作为目标标签数值串。
可选的，在智能选品系统中，可以向客户端返回标签序列，用户可以根据需求选中多个标签序列作为目标物品的筛选标签序列，服务端在接收到用户选择的筛选标签序列时，会自动计算与筛选标签序列对应的目标标签数值串，并不需要根据与筛选标签序列对应的筛选条件，开发符合筛选条件的逻辑代码，并基于该逻辑代码多次对待处理商品进行逻辑判断，减少了筛选待处理物品的逻辑代码开发成本，也提高了待处理物品的筛选效率。
图5示意性示出了根据本公开的一些实施例的逻辑运算结果生成方法流程的示意图。参考图5所示，该逻辑运算结果生成方法可以包括以下步骤：
在步骤S510中，获取所述待处理物品的标识码数据，并基于所述标识码数据建立所述标签数值串与目标标签数值串的关联关系；
在步骤S520中，基于所述关联关系，对所述标签数值串与目标标签数值串进行逻辑与运算，得到所述逻辑运算结果。
其中，标识码数据可以指待处理物品的唯一标识代码数据，例如，标识码数据可以是与待处理物品的二维码对应的代码数据，标识码数据也可以是待处理物品的出厂代码数据，当然，标识码数据还可以是待处理物品的其他唯一标识代码数据，本例实施例对此不作特殊限定。
可以根据待处理物品的标识码数据，建立待处理物品的标签数值串和与筛选标签序列对应的目标标签数值串关联关系，在计算得到标签数值串与目标标签数值串的逻辑运算结果后，可以根据该逻辑运算结果，从待处理物品中筛选得到目标物品。其中，与标签数值串对应的标识码数据和目标标签数值串的标识码数据相同。
优选的，可以通过待处理物品的标识码数据建立待处理物品的标签数值串与目标标签数值串的关联关系，进而在计算得到标签数值串和目标标签数值串的逻辑运算结果后，可以根据逻辑运算结果和物品标识码数据，从待处理物品中筛选得到目标物品，提高了目标物品筛选的便捷性。
在公开的一个示例实施例中，可以通过检测逻辑运算结果是否大于0，确定待处理物品是否是目标物品。其中，若检测到逻辑运算结果大于0，则可以从待处理物品中匹配得到与标识码数据对应的第一物品，并将所述第一物品作为目标物品。
其中，第一物品可以指从待处理物品中筛选的与筛序标签序列对应的物品。可以检测待处理物品的标签数值串和与筛选标签序列对应的目标标签数值串的逻辑与运算结果是否大于0，若该逻辑与运算结果大于0，则可以将具有与该标签数值串对应的标识 码数据的待处理物品作为目标物品。
可以根据待处理物品的标签数值串与目标标签数值串的逻辑与运算结果，判断具有与标签数值串对应的标识码数据的待处理物品是否是目标物品，若该逻辑与运算结果大于0，则可以将具有与该标签数值串对应的标识码数据的待处理物品作为目标物品，并不需要根据与筛选标签序列对应的筛选条件，对待处理物品进行多次逻辑判断，提高了筛选目标物品的便捷性，也提高了待处理商品的筛选效率。
在公开的一个示例实施例中，可以通过检测逻辑运算结果是否等于0，确定待处理物品是否是待清退物品。其中，若检测到逻辑运算结果等于0，则可以从待处理物品中匹配得到与标识码数据对应的第二物品，并将第二物品作为待清退物品；从待处理物品中剔除待清退物品，以对待处理物品进行过滤处理。
其中，第二物品可以指待处理物品中与筛选标签序列不匹配的物品。可以检测待处理物品的标签数值串和与筛选标签序列对应的目标标签数值串的逻辑与运算结果是否等于0，若该逻辑与运算结果等于0，则可以将具有与该标签数值串对应的标识码数据的待处理物品作为第二物品，并可以将第二物品定位为待清退物品。
可以根据待处理物品的标签数值串与目标标签数值串的逻辑与运算结果，判断待处理物品中是否存在待清退物品，若该逻辑与运算结果等于于0，则可以将具有与该标签数值串对应的标识码数据的待处理物品作为待清退物品，并从待处理物品中剔除待清退物品，以从待处理物品中过滤待清退物品，提高对待处理物品的管理效率。
图6示意性示出了根据本公开的一些实施例的目标物品筛选方法流程的示意图。参考图6所示，该目标物品筛选方法可以包括以下步骤：
在步骤S610中，获取活跃物品表和标签数据列表，并根据活跃物品表中的活跃标签数据对标签数据列表中标签数据进行排序，得到标签序列；
在步骤S611中，获取待处理物品，并基于标签序列对待处理物品进行归类，以及确定待处理物品的二进制标签数值串；
在步骤S612中，将二进制标签数值串转换为十进制标签数值串，并将该十进制标签数值串作为待处理物品的标签数值串；
在步骤S613中，将标签序列回传至客户端，并检测用户对标签序列的选择操作，确定与选择操作对应的筛选标签序列；
在步骤S614中，计算筛选标签序列的二进制标签数值串，并将该二进制标签数值串转换为十进制标签数值串，以及将该十进制标签数值串作为目标标签数值串；
在步骤S615中，获取待处理物品的标识码数据，并基于该标识码数据建立标签数值串与目标标签数值串的关联关系；
在步骤S616中，基于该关联关系，对标签数值串与目标标签数值串进行逻辑与运算，得到逻辑运算结果。
在步骤S617中，检测该逻辑运算结果是否大于0，若该逻辑运算结果大于0，则执行步骤S618，否则，跳转至步骤S619；
在步骤S618中，将具有与标签数值串对应的标识码数据的待处理物品作为目标物品；
在步骤S619中，将具有与标签数值串对应的标识码数据的待处理物品作为待清退物品，并从待处理物品中剔除该待清退物品。
优选的，可以将物品的通用标签数据进行整合并排序，得到标签序列，并将标签序列的标签值设置为二进制数值，若待处理物品的标签数据属于标签序列，则与该标签序列对应的标签值为1，否则，与该标签序列对应的标签值为0。通过将待处理物品的标签数据与标签序列进行匹配处理，可以得到二进制标签数值串，进而可以将二进制标签数值串转换为十进制标签数值串，以提高待处理物品的标签数值串的存储效率。同时，可以将标签序列发送至客户端，并根据用户对标签序列的选择操作，生成筛选标签序列。然后，计算筛选标签序列的二进制标签数值串，并将二进制标签数值串转换为十进制标签数值串，以及将十进制标签数值串作为目标标签数值串。
此外，根据待处理物品的标识码数据建立待处理物品的标签数值串和与筛选标签序列对应的目标标签数值串之间的关联关系，并计算标签数值串与目标标签数值串的逻辑与的运算结果，并根据该运算结果，从待处理物品中筛选目标物品，避免了根据与筛选序列对应的筛选条件，开发用于筛选目标物品的逻辑代码，并根据逻辑代码对待处理物品进行多次逻辑判断，提高了对待处理物品的筛选效率，也降低了筛选目标物品的逻辑代码开发成本。同时，可以根据标签数值串与目标标签数值串的逻辑与的运算结果，从待处理物品中筛除待清退物品，提高对待处理物品的管理效率。
需要说明的是，尽管在附图中以特定顺序描述了本公开中方法的各个步骤，但是，这并非要求或者暗示必须按照该特定顺序来执行这些步骤，或是必须执行全部所示的步骤才能实现期望的结果。附加的或备选的，可以省略某些步骤，将多个步骤合并为一个步骤执行，以及/或者将一个步骤分解为多个步骤执行等。
此外，在本示例实施例中，还提供了一种物品筛选装置。参照图7所示，该物品筛选装置700包括：获取模块710、确定模块720、计算模块730、筛选模块740。其中：获取模块710用于获取标签序列和待处理物品，并基于所述标签序列确定所述待处理物品的标签数值串；确定模块720用于确定与目标物品对应的筛选标签序列，并计算所述筛选标签序列的目标标签数值串；计算模块730用于将所述标签数值串与目标标签数值串进行逻辑运算，得到逻辑运算结果；筛选模块740，用于根据所述逻辑运算结果，从所述待处理物品中筛选得到所述目标物品。
在本公开的一些示例实施例中，基于前述方案，所述获取模块710还包括标签序列生成单元，所述标签序列生成单元，用于获取所述待处理物品和与所述待处理物品对应 的标签数据列表，以及活跃物品表；确定所述活跃物品表中的活跃标签数据；根据所述活跃标签数据对所述标签数据列表中的标签数据进行排序，生成与所述标签数据列表对应的标签序列。
在本公开的一些示例实施例中，基于前述方案，所述获取模块710还包括标签数值串确定单元，所述标签数值串确定单元，用于将所述标签序列的标签值设置为二进制数值；获取所述待处理物品的标签数据，并对所述标签数据与所述标签序列进行匹配处理，得到由与所述标签值对应的二进制数值组成的二进制数值串；将所述二进制数值串转换为十进制数值串，并将所述十进制数值串作为所述标签数值串。
在本公开的一些示例实施例中，基于前述方案，所述确定模块720还包括目标标签数值串生成单元，所述目标标签数值串生成单元，用于将所述标签序列发送至客户端；在检测到对所述标签序列的选择操作时，确定与所述选择操作对应的所述筛选标签序列；基于所述筛序标签序列计算与所述筛序标签序列的标签值对应的二进制数值串；将所述二进制数值串转换为十进制数值串，并将所述十进制数值串作为目标标签数值串。
在本公开的一些示例实施例中，基于前述方案，所述计算模块730还包括关联关系建立单元，所述关联关系建立单元，用于获取所述待处理物品的标识码数据，并基于所述标识码数据建立所述标签数值串与目标标签数值串的关联关系；基于所述关联关系，对所述标签数值串与目标标签数值串进行逻辑与运算，得到所述逻辑运算结果。
在本公开的一些示例实施例中，基于前述方案，所述筛选模块740还包括目标物品确定单元，所述目标物品确定单元，用于若检测到所述逻辑运算结果大于0，则从所述待处理物品中匹配得到与所述标识码数据对应的第一物品，并将所述第一物品作为所述目标物品。
在本公开的一些示例实施例中，基于前述方案，所述筛选模块还包括待清退物品确定单元，所述待清退物品确定单元，用于若检测到所述逻辑运算结果等于0，则从所述待处理物品中筛选得到与所述标识码数据对应的第二物品，并将所述第二物品作为待清退物品；从所述待处理物品中剔除所述待清退物品，以对所述待处理物品进行过滤处理。
上述中物品筛选装置各模块的具体细节已经在对应的物品筛选方法中进行了详细的描述，因此此处不再赘述。
应当注意，尽管在上文详细描述中提及了物品筛选装置的若干模块或者单元，但是这种划分并非强制性的。实际上，根据本公开的实施方式，上文描述的两个或更多模块或者单元的特征和功能可以在一个模块或者单元中具体化。反之，上文描述的一个模块或者单元的特征和功能可以进一步划分为由多个模块或者单元来具体化。
此外，在本公开的示例性实施例中，还提供了一种能够实现上述物品筛选方法的电子设备。
所属技术领域的技术人员能够理解，本公开的各个方面可以实现为系统、方法或程 序产品。因此，本公开的各个方面可以具体实现为以下形式，即：完全的硬件实施例、完全的软件实施例(包括固件、微代码等)，或硬件和软件方面结合的实施例，这里可以统称为“电路”、“模块”或“系统”。
下面参照图8来描述根据本公开的这种实施例的电子设备800。图8所示的电子设备800仅仅是一个示例，不应对本公开实施例的功能和使用范围带来任何限制。
如图8所示，电子设备800以通用计算设备的形式表现。电子设备800的组件可以包括但不限于：上述至少一个处理单元810、上述至少一个存储单元820、连接不同系统组件(包括存储单元820和处理单元810)的总线830、显示单元840。
其中，所述存储单元存储有程序代码，所述程序代码可以被所述处理单元810执行，使得所述处理单元810执行本说明书上述“示例性方法”部分中描述的根据本公开各种示例性实施例的步骤。例如，所述处理单元810可以执行如图1中所示的步骤S110，获取标签序列和待处理物品，并基于所述标签序列确定所述待处理物品的标签数值串；步骤S120，确定目标物品的筛选标签序列，并计算所述筛选标签序列的目标标签数值串；步骤S130，将所述标签数值串与目标标签数值串进行逻辑运算，得到逻辑运算结果；步骤S140，根据所述逻辑运算结果，从所述待处理物品中筛选得到目标物品。
存储单元820可以包括易失性存储单元形式的可读介质，例如随机存取存储单元(RAM)821和/或高速缓存存储单元822，还可以进一步包括只读存储单元(ROM)823。
存储单元820还可以包括具有一组(至少一个)程序模块825的程序/实用工具824，这样的程序模块825包括但不限于：操作系统、一个或者多个应用程序、其它程序模块以及程序数据，这些示例中的每一个或某种组合中可能包括网络环境的实现。
总线830可以为表示几类总线结构中的一种或多种，包括存储单元总线或者存储单元控制器、外围总线、图形加速端口、处理单元或者使用多种总线结构中的任意总线结构的局域总线。
电子设备800也可以与一个或多个外部设备870(例如键盘、指向设备、蓝牙设备等)通信，还可与一个或者多个使得用户能与该电子设备800交互的设备通信，和/或与使得该电子设备800能与一个或多个其它计算设备进行通信的任何设备(例如路由器、调制解调器等等)通信。这种通信可以通过输入/输出(I/O)接口850进行。并且，电子设备800还可以通过网络适配器860与一个或者多个网络(例如局域网(LAN)，广域网(WAN)和/或公共网络，例如因特网)通信。如图所示，网络适配器860通过总线830与电子设备800的其它模块通信。应当明白，尽管图中未示出，可以结合电子设备800使用其它硬件和/或软件模块，包括但不限于：微代码、设备驱动器、冗余处理单元、外部磁盘驱动阵列、RAID系统、磁带驱动器以及数据备份存储系统等。
通过以上的实施例的描述，本领域的技术人员易于理解，这里描述的示例实施例可 以通过软件实现，也可以通过软件结合必要的硬件的方式来实现。因此，根据本公开实施例的技术方案可以以软件产品的形式体现出来，该软件产品可以存储在一个非易失性存储介质(可以是CD-ROM，U盘，移动硬盘等)中或网络上，包括若干指令以使得一台计算设备(可以是个人计算机、服务器、终端装置、或者网络设备等)执行根据本公开实施例的方法。
在本公开的示例性实施例中，还提供了一种计算机可读存储介质，其上存储有能够实现本说明书上述方法的程序产品。在一些可能的实施例中，本公开的各个方面还可以实现为一种程序产品的形式，其包括程序代码，当所述程序产品在终端设备上运行时，所述程序代码用于使所述终端设备执行本说明书上述“示例性方法”部分中描述的根据本公开各种示例性实施例的步骤。
参考图9所示，描述了根据本公开的实施例的用于实现上述物品筛选方法的程序产品900，其可以采用便携式紧凑盘只读存储器(CD-ROM)并包括程序代码，并可以在终端设备，例如个人电脑上运行。然而，本公开的程序产品不限于此，在本文件中，可读存储介质可以是任何包含或存储程序的有形介质，该程序可以被指令执行系统、装置或者器件使用或者与其结合使用。
所述程序产品可以采用一个或多个可读介质的任意组合。可读介质可以是可读信号介质或者可读存储介质。可读存储介质例如可以为但不限于电、磁、光、电磁、红外线、或半导体的系统、装置或器件，或者任意以上的组合。可读存储介质的更具体的例子(非穷举的列表)包括：具有一个或多个导线的电连接、便携式盘、硬盘、随机存取存储器(RAM)、只读存储器(ROM)、可擦式可编程只读存储器(EPROM或闪存)、光纤、便携式紧凑盘只读存储器(CD-ROM)、光存储器件、磁存储器件、或者上述的任意合适的组合。
计算机可读信号介质可以包括在基带中或者作为载波一部分传播的数据信号，其中承载了可读程序代码。这种传播的数据信号可以采用多种形式，包括但不限于电磁信号、光信号或上述的任意合适的组合。可读信号介质还可以是可读存储介质以外的任何可读介质，该可读介质可以发送、传播或者传输用于由指令执行系统、装置或者器件使用或者与其结合使用的程序。
可读介质上包含的程序代码可以用任何适当的介质传输，包括但不限于无线、有线、光缆、RF等等，或者上述的任意合适的组合。
可以以一种或多种程序设计语言的任意组合来编写用于执行本公开操作的程序代码，所述程序设计语言包括面向对象的程序设计语言—诸如Java、C++等，还包括常规的过程式程序设计语言—诸如“C”语言或类似的程序设计语言。程序代码可以完全地在用户计算设备上执行、部分地在用户设备上执行、作为一个独立的软件包执行、部分在用户计算设备上部分在远程计算设备上执行、或者完全在远程计算设备或服务器上执 行。在涉及远程计算设备的情形中，远程计算设备可以通过任意种类的网络，包括局域网(LAN)或广域网(WAN)，连接到用户计算设备，或者，可以连接到外部计算设备(例如利用因特网服务提供商来通过因特网连接)。
此外，上述附图仅是根据本公开示例性实施例的方法所包括的处理的示意性说明，而不是限制目的。易于理解，上述附图所示的处理并不表明或限制这些处理的时间顺序。另外，也易于理解，这些处理可以是例如在多个模块中同步或异步执行的。
通过以上的实施例的描述，本领域的技术人员易于理解，这里描述的示例实施例可以通过软件实现，也可以通过软件结合必要的硬件的方式来实现。因此，根据本公开实施例的技术方案可以以软件产品的形式体现出来，该软件产品可以存储在一个非易失性存储介质(可以是CD-ROM，U盘，移动硬盘等)中或网络上，包括若干指令以使得一台计算设备(可以是个人计算机、服务器、触控终端、或者网络设备等)执行根据本公开实施例的方法。
本领域技术人员在考虑说明书及实践这里公开的内容后，将容易想到本公开的其它实施例。本公开旨在涵盖本公开的任何变型、用途或者适应性变化，这些变型、用途或者适应性变化遵循本公开的一般性原理并包括本公开未公开的本技术领域中的公知常识或惯用技术手段。说明书和实施例仅被视为示例性的，本公开的真正范围和精神由权利要求指出。
应当理解的是，本公开并不局限于上面已经描述并在附图中示出的精确结构，并且可以在不脱离其范围进行各种修改和改变。本公开的范围仅由所附的权利要求来限制。

Claims (10)

  1. 一种物品筛选方法，其中，包括：
    获取标签序列和待处理物品，并基于所述标签序列确定所述待处理物品的标签数值串；
    确定与目标物品对应的筛选标签序列，并计算所述筛选标签序列的目标标签数值串；
    将所述标签数值串与目标标签数值串进行逻辑运算，得到逻辑运算结果；
    根据所述逻辑运算结果，从所述待处理物品中筛选得到目标物品。
  2. 根据权利要求1所述的物品筛选方法，其中，所述获取标签序列和待处理物品，包括：
    获取所述待处理物品和与所述待处理物品对应的标签数据列表，以及活跃物品表；
    确定所述活跃物品表中的活跃标签数据；
    根据所述活跃标签数据对所述标签数据列表中的标签数据进行排序，生成与所述标签数据列表对应的标签序列。
  3. 根据权利要求1所述的物品筛选方法，其中，基于所述标签序列确定所述待处理物品的标签数值串，包括：
    将所述标签序列的标签值设置为二进制数值；
    获取所述待处理物品的标签数据，并对所述标签数据与所述标签序列进行匹配处理，得到由与所述标签值对应的二进制数值组成的二进制数值串；
    将所述二进制数值串转换为十进制数值串，并将所述十进制数值串作为所述标签数值串。
  4. 根据权利要求1所述的物品筛选方法，其中，所述确定所述待处理物品的筛选标签序列，并计算与所述筛选标签序列对应的目标标签数值串，包括：
    将所述标签序列发送至客户端；
    在检测到对所述标签序列的选择操作时，确定与所述选择操作对应的所述筛选标签序列；
    基于所述筛序标签序列计算与所述筛序标签序列的标签值对应的二进制数值串；
    将所述二进制数值串转换为十进制数值串，并将所述十进制数值串作为目标标签数值串。
  5. 根据权利要求1所述的物品筛选方法，其中，所述方法还将所述标签数值串与目标标签数值串进行逻辑运算，得到逻辑运算结果，包括：
    获取所述待处理物品的标识码数据，并基于所述标识码数据建立所述标签数值串与目标标签数值串的关联关系；
    基于所述关联关系，对所述标签数值串与目标标签数值串进行逻辑与运算，得到所述逻辑运算结果。
  6. 根据权利要求1所述的物品筛选方法，其中，所述根据所述逻辑运算结果，从所述待处理物品中筛选得到目标物品，包括：
    若检测到所述逻辑运算结果大于0，则从所述待处理物品中匹配得到与所述标识码数据对应的第一物品，并将所述第一物品作为所述目标物品。
  7. 根据权利要求6所述的物品筛选方法，其中，所述方法还包括：
    若检测到所述逻辑运算结果等于0，则从所述待处理物品中筛选得到与所述标识码数据对应的第二物品，并将所述第二物品作为待清退物品；
    从所述待处理物品中剔除所述待清退物品，以对所述待处理物品进行过滤处理。
  8. 一种物品筛选装置，其中，包括：
    获取模块，用于获取标签序列和待处理物品，并基于所述标签序列确定所述待处理物品的标签数值串；
    确定模块，用于确定与目标物品对应的筛选标签序列，并计算所述筛选标签序列的目标标签数值串；
    计算模块，用于将所述标签数值串与目标标签数值串进行逻辑运算，得到逻辑运算结果；
    筛选模块，用于根据所述逻辑运算结果，从所述待处理物品中筛选得到所述目标物品。
  9. 一种电子设备，包括：
    处理器；以及
    存储器，所述存储器上存储有计算机可读指令，所述计算机可读指令被所述处理器执行时实现如权利要求1至7中任一项所述物品筛选方法。
  10. 一种计算机可读存储介质，其上存储有计算机程序，所述计算机程序被处理器执行时实现如权利要求1至7中任一项所述的物品筛选方法。
PCT/CN2022/090628 2021-06-18 2022-04-29 物品筛选方法及装置、电子设备、存储介质 WO2022262448A1 (zh)

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