CN113312484B - Object tag processing method and device - Google Patents
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Abstract
The embodiment of the specification provides an object tag processing method and device, wherein the object tag processing method comprises the following steps: at least one object tag obtained by marking a target object by a user and marking data of each object tag are obtained; determining a target label of the target object according to the at least one object label, marking data of each object label and the classification label of the target object; and if the target label is inconsistent with the classification label of the target object, updating the classification label of the target object based on the target label.
Description
Technical Field
The present document relates to the field of data processing technologies, and in particular, to a method and an apparatus for processing an object tag.
Background
Under many scenes, need carry out the label mark to organizations such as enterprise, for example need to beat the trade label for different enterprises when doing enterprise analysis and trade investigation to this demonstrates the trade that the enterprise belongs to directly perceivedly through trade label, simultaneously, carry out the marking of trade label to the enterprise, help the better aassessment business situation of enterprise and the trade change risk that probably receives of user, but judge the trade that the enterprise belongs to comparatively difficult under the insufficient circumstances of enterprise information, and after the business scope of enterprise changes or the trade that locates changes, original trade label probably leads to producing erroneous judgement to the enterprise.
Disclosure of Invention
One or more embodiments of the present specification provide an object tag processing method, including: and obtaining at least one object label obtained by marking the target object by the user and marking data of each object label. And determining the target label of the target object according to the at least one object label, the marking data of each object label and the classification label of the target object. And if the target label is inconsistent with the classification label of the target object, updating the classification label of the target object based on the target label.
One or more embodiments of the present specification provide an object tag processing apparatus including: the tag data acquisition module is configured to acquire at least one object tag obtained by marking a target object by a user and marking data of each object tag. And the target label determining module is configured to determine the target label of the target object according to the at least one object label, marking data of each object label and the classification label of the target object. And the classification label updating module is configured to update the classification label of the target object based on the target label if the target label is inconsistent with the classification label of the target object.
One or more embodiments of the present specification provide a server including: a processor; and a memory configured to store computer-executable instructions that, when executed, cause the processor to: and obtaining at least one object label obtained by marking the target object by the user and marking data of each object label. And determining the target label of the target object according to the at least one object label, the marking data of each object label and the classification label of the target object. And if the target label is inconsistent with the classification label of the target object, updating the classification label of the target object based on the target label.
One or more embodiments of the present specification provide a storage medium storing computer-executable instructions that, when executed, implement the following: and obtaining at least one object label obtained by marking the target object by the user and marking data of each object label. And determining the target label of the target object according to the at least one object label, the marking data of each object label and the classification label of the target object. And if the target label is inconsistent with the classification label of the target object, updating the classification label of the target object based on the target label.
Drawings
For a clearer description of one or more embodiments of the present description or of the solutions of the prior art, the drawings that are needed in the description of the embodiments or of the prior art will be briefly described below, it being obvious that the drawings in the description that follow are only some of the embodiments described in the present description, from which other drawings can be obtained, without inventive faculty, for a person skilled in the art;
FIG. 1 is a process flow diagram of an object tag processing method according to one or more embodiments of the present disclosure;
FIG. 2 is a process flow diagram of a first object tag processing method for application to an enterprise service scenario, provided in one or more embodiments of the present disclosure;
FIG. 3 is a process flow diagram of a second object tag processing method for enterprise service scenarios according to one or more embodiments of the present disclosure;
FIG. 4 is a schematic diagram of an object tag processing apparatus according to one or more embodiments of the present disclosure;
fig. 5 is a schematic structural diagram of an object tag processing apparatus according to one or more embodiments of the present disclosure.
Detailed Description
In order to enable a person skilled in the art to better understand the technical solutions in one or more embodiments of the present specification, the technical solutions in one or more embodiments of the present specification will be clearly and completely described below with reference to the drawings in one or more embodiments of the present specification, and it is obvious that the described embodiments are only some embodiments of the present specification, not all embodiments. All other embodiments, which can be made by one or more embodiments of the present disclosure without inventive effort, are intended to be within the scope of the present disclosure.
The embodiment of the object tag processing method provided in the specification is as follows:
referring to fig. 1, a flowchart of an object tag processing method according to the present embodiment is shown, referring to fig. 2, a flowchart of a first object tag processing method according to the present embodiment is shown, and referring to fig. 3, a flowchart of a second object tag processing method according to the present embodiment is shown.
Referring to fig. 1, the object tag processing method provided in the present embodiment specifically includes steps S102 to S106.
Step S102, at least one object tag obtained by marking a target object by a user and marking data of each object tag are obtained.
According to the object tag processing method, for the pre-configured object tag, object tags and tag marking data obtained by marking the object by a user are obtained, the object tags of the object are determined by combining tag related data of two angles of the user tag and the pre-configured object tag, whether the determined object tags are consistent with the pre-configured object tag or not is further detected, if not, the pre-configured object tag is updated based on the object tags obtained by marking by the user, the tag marking data and the pre-configured object tag determined by the pre-configured object tag, and therefore the effectiveness and the accuracy of the object tag are improved.
The target object in this embodiment refers to an object for marking a label, such as an economic organization or a social organization of an enterprise, an organization, etc., and the purpose of marking is to enable a user to establish a quicker and more accurate cognition on an evaluation object through a visual display of labeling when checking information of the object in practice, so that the label is distinguished from other objects, such as when performing enterprise analysis or industrial investigation, the enterprise can be analyzed and evaluated more accurately from the angle of the enterprise industry through the industry label of the enterprise.
The object tag refers to a tag for distinguishing a target object from other classified objects; likewise, a classification label of a subsequent target object also refers to a label used to distinguish the target object from other classified objects, such as an industry label used to distinguish the target business from businesses of other industries. The marking data of the object label comprises marking times, marking time and the like of the object label.
In specific implementation, a label list of a target object is provided for a user in a marking process, the user marks the target object in a mode of selecting a label in the label list in a voting mode, so that randomness and uncertainty of marking the target object by the user are avoided, the effectiveness of the target object marked by the user and the object label obtained by marking is improved, and in particular, in the alternative implementation provided by the embodiment, the object label of the target object is determined in the following mode:
according to an access request of a user for a target object, displaying an object information page containing a tag list of the target object to the user;
and taking the candidate label selected by the user in the label list as the object label of the target object.
Based on this, in order to improve the accuracy of the object label obtained by marking the target object by the user, in this embodiment, the accuracy of the target object marking by the user is further improved by improving the accuracy of the candidate label in the label list, and optionally, the candidate label in the label list of the target object is obtained by screening from a preconfigured classified label library according to the input object information of the target object by the label matching model.
In addition, in order to improve the accuracy of the object label obtained by marking the target object by the user, increase the access exposure rate of the target object by applying the target service in the application, so as to improve the frequency of marking the target object by the user, reduce the influence of the randomness of the user marking on the object label obtained by marking the target label, in an optional implementation manner provided in this embodiment, the possibility of marking the target object by the user in the process of accessing the target object is improved by providing the marking service of the target object in the application, so as to further improve the marking frequency of the target object, and the access request of the target object is submitted by the application, specifically, the access request of the target object is generated by adopting the following manner:
acquiring a search keyword input in an application component of a target service carried in an application by a user;
and if the user triggers an access event of the object identification of the target object returned by the search keyword, generating an access request of the target object.
For example, an applet of an enterprise query service is carried in a third party application, and a user displays a candidate tag list on an information page of an enterprise A in the process of accessing the enterprise A in a searching mode in the applet, wherein candidate industry tags in the candidate tag list are matched with industry tags in an enterprise industry tag library according to the input operation range description information and enterprise names by inputting the operation range description information and the enterprise names of the enterprise A into a tag matching model, and at least one industry tag matched with the enterprise A is obtained by the tag matching model to form the candidate tag list; correspondingly, the user can perform industry marking on the enterprise A by selecting the industry label in the candidate label list, and the industry label selected by the user in the candidate label list finally is the enterprise industry label for marking the industry label of the enterprise A.
Step S104, determining the target label of the target object according to the at least one object label, the marking data of each object label and the classification label of the target object.
The classification label of the target object is obtained by inputting the description information and the keyword information of the target object into a text classification algorithm for calculation, and specifically, the classification label of the target object is determined by adopting the following modes:
acquiring description information and keyword information of the target object;
and inputting the description information and the keyword information into a text classification algorithm for calculation to obtain the classification label of the target object.
In particular, in order to improve the accuracy of the object label of the target object, the target label of the target object is determined by combining label related data of two angles, namely, marking by a user and classifying the label of the target object, and in particular, in an alternative implementation provided by this embodiment, the following manner is adopted to determine the target label of the target object:
and inputting the at least one object label, the marking data of each object label and the classification label of the target object into a clustering algorithm to perform clustering processing, and taking the label output by clustering as the target label of the target object.
It should be noted that, the at least one object tag refers to an object tag obtained after one or more users perform marking on a target object, specifically, in a clustering process, the weight of each object tag may be determined according to the marking times and/or marking times included in the marking data, and then clustering processing is performed on the classified tag and the object tag given with the weight, so as to output the target tag of the target object. Or determining the weight of each object label and the weight of the pre-configured classification label according to the marking times and/or marking time contained in the marking data, and then carrying out clustering processing on the object label given with the weight and the classification label given with the weight to output the target label of the target object. In addition, in the process of determining the target label of the target object in a clustering manner, the weight of each object label can be determined according to marking data, and then clustering processing is carried out on the object labels endowed with the weight to obtain the target label.
For example, in the process that the enterprise A is accessed by a user through an enterprise query service carried by a third party application, a plurality of enterprise industry labels are obtained, and the marking times and marking time of each of the plurality of enterprise industry labels are input into a clustering algorithm to perform clustering processing, and the industry labels of the enterprise A are determined according to label related data of two angles, namely user marking and preconfigured industry labels.
In another optional implementation manner provided in this embodiment, determining the target label of the target object according to the at least one object label, the marking data of each object label, and the classification label of the target object includes:
calculating the weight of each object label according to the marking data of each object label; the weight of the candidate label is calculated and determined according to the marking times and the marking time contained in the marking data;
and inputting the at least one object tag, the weight of each object tag, the classification tag and the preset weight of the classification tag into a tag processing model for calculation, and obtaining an output tag as a target tag of the target object.
In addition, in the process of determining the target label of the target object by using the label processing model, at least one target label, marking data of each target label and a classification label of the target object may be input into the label processing model, the weight of each target label is calculated by the label processing model according to the marking data of each target label, and then the target label of the target object is determined according to each target label, the weight of each target label obtained by calculation and the preset classification label. Or inputting the object tags and the marking data of the object tags into a tag processing model, calculating the weight of each object tag according to the marking data of each object tag by the tag processing model, and determining the target tag of the target object according to each object tag and the weight of each object tag obtained by calculation.
Step S106, if the target label is inconsistent with the classification label of the target object, updating the classification label of the target object based on the target label.
After the target label of the target object is obtained in the step, comparing the determined target label with a pre-configured classification label of the target object, and if the target label is inconsistent with the classification label of the target object, updating the classification label of the target object based on the target label, namely: updating the classification label of the target object into the target label; if the target label is consistent with the classification label of the target object, the classification label of the target object is kept unchanged.
As described above, in order to improve the accuracy of the object label obtained by marking the target object by the user, the access exposure rate of the target object is increased by applying the target service in the application, so as to improve the frequency of marking the target object by the user, reduce the influence of the randomness of the marking by the user on the object label obtained by marking the target label, and generate the access request of the target object by acquiring the search keyword input in the application component of the target service carried in the application by the user and triggering the access event of the object identifier of the target object returned by the search keyword when the user triggers the access event of the object identifier of the target object; based on the above, in order to promote the effectiveness of object tag display, after the classification tag of the target object is updated to the target tag, an object information page of the target object carrying the target tag is generated and returned in response to an access request of a user for the target object.
The following further describes the object tag processing method provided in this embodiment, referring to fig. 2, by taking an application of the object tag processing method provided in this embodiment to an enterprise service scenario as an example, and specifically includes steps S202 to S212.
Step S202, acquiring business scope description information and business identification of the enterprise.
Step S204, the business scope description information and the business identification of the enterprise are input into a text classification algorithm for calculation, and the obtained industry label is used as the industry label of the enterprise configuration.
Step S206, at least one industry label obtained by marking the enterprise through the enterprise service carried by the user and marking data of the at least one industry label are obtained.
Step S208, clustering is carried out on at least one industry label, marking data of the at least one industry label and the industry label of the enterprise obtained through calculation by inputting a clustering algorithm, and a target industry label of the enterprise is obtained.
Step S210, judging whether the target industry label is consistent with the industry label configured by the enterprise;
if yes, keeping the industry label configured by the enterprise unchanged;
if not, go to step S212.
Step S212, updating the industry label configured by the enterprise into a target industry label.
The following further describes the object tag processing method provided in this embodiment, referring to fig. 3, by taking an application of another object tag processing method provided in this embodiment to an enterprise service scenario as an example, and specifically includes steps S302 to S312.
Step S302, operation range description information and enterprise identification of the enterprise are obtained.
And step S304, inputting the business scope description information and the business identification of the enterprise into a text classification algorithm for calculation, and obtaining the business label of the enterprise.
Step S306, at least one industry label obtained by marking the enterprise through the enterprise service carried by the user and marking data of the at least one industry label are obtained.
Step S308, calculating the label weight of each of the at least one industry label according to the marking data of each of the at least one industry label.
Step S310, at least one industry label, the label weight of the at least one industry label, the industry label obtained by calculation and the preset industry label weight are input into a label processing model to be calculated, and the target industry label of the enterprise is output.
Step S312, if the target industry label of the enterprise is inconsistent with the calculated industry label, updating the calculated industry label of the enterprise to the target industry label.
An embodiment of an object tag processing apparatus provided in the present specification is as follows:
in the above-described embodiments, there is provided an object tag processing method, and corresponding object tag processing apparatus, which will be described with reference to the accompanying drawings.
Referring to fig. 4, a schematic diagram of an object tag processing apparatus according to the present embodiment is shown.
Since the apparatus embodiments correspond to the method embodiments, the description is relatively simple, and the relevant portions should be referred to the corresponding descriptions of the method embodiments provided above. The device embodiments described below are merely illustrative.
The present embodiment provides an object tag processing apparatus including:
a tag data obtaining module 402 configured to obtain at least one object tag obtained by a user performing marking on a target object, and marking data of each object tag;
a target tag determination module 402 configured to determine a target tag of the target object based on the at least one object tag, the marking data of each object tag, and the classification tag of the target object;
and a classification label updating module 406 configured to update the classification label of the target object based on the target label if the target label is inconsistent with the classification label of the target object.
Optionally, the target tag determining module 402 is specifically configured to input the at least one object tag, the marking data of each object tag, and the classification tag of the target object into a clustering algorithm to perform clustering processing, and take the tag output by clustering as the target tag of the target object.
Optionally, the target tag determining module 402 is specifically configured to calculate the weight of each object tag according to the marking data of each object tag; and inputting the at least one object tag, the weight of each object tag, the classification tag and the preset weight of the classification tag into a tag processing model for calculation, and obtaining an output tag as a target tag of the target object.
Optionally, the classification label of the target object is determined by running the following module:
the object information module is configured to acquire the description information and the keyword information of the target object;
and the classification label calculation module is configured to input the description information and the keyword information into a text classification algorithm for calculation, so as to obtain the classification label of the target object.
An embodiment of an object tag processing apparatus provided in the present specification is as follows:
in correspondence to the above-described object tag processing method, one or more embodiments of the present disclosure further provide an object tag processing apparatus for performing the above-provided object tag processing method, and fig. 5 is a schematic structural diagram of the object tag processing apparatus provided by the one or more embodiments of the present disclosure, based on the same technical concept.
The object tag processing apparatus provided in this embodiment includes:
as shown in fig. 5, the object tag processing device may have a relatively large difference due to different configurations or performances, and may include one or more processors 501 and a memory 502, where the memory 502 may store one or more storage applications or data. Wherein the memory 502 may be transient storage or persistent storage. The application programs stored in memory 502 may include one or more modules (not shown in the figures), each of which may include a series of computer executable instructions in the object tag processing device. Still further, the processor 501 may be configured to communicate with the memory 502 and execute a series of computer executable instructions in the memory 502 on the object tag processing device. The object tag processing device may also include one or more power supplies 503, one or more wired or wireless network interfaces 504, one or more input/output interfaces 505, one or more keyboards 506, and the like.
In a particular embodiment, an object tag processing apparatus includes a memory, and one or more programs, wherein the one or more programs are stored in the memory, and the one or more programs may include one or more modules, and each module may include a series of computer-executable instructions for the object tag processing apparatus, and the execution of the one or more programs by the one or more processors comprises computer-executable instructions for:
at least one object tag obtained by marking a target object by a user and marking data of each object tag are obtained;
determining a target label of the target object according to the at least one object label, marking data of each object label and the classification label of the target object;
and if the target label is inconsistent with the classification label of the target object, updating the classification label of the target object based on the target label.
Optionally, the determining the target label of the target object according to the at least one object label, the marking data of each object label and the classification label of the target object includes:
and inputting the at least one object label, the marking data of each object label and the classification label of the target object into a clustering algorithm to perform clustering processing, and taking the label output by clustering as the target label of the target object.
Optionally, the determining the target label of the target object according to the at least one object label, the marking data of each object label and the classification label of the target object includes:
calculating the weight of each object label according to the marking data of each object label;
and inputting the at least one object tag, the weight of each object tag, the classification tag and the preset weight of the classification tag into a tag processing model for calculation, and obtaining an output tag as a target tag of the target object.
Optionally, the classification label of the target object is determined by the following method:
acquiring description information and keyword information of the target object;
and inputting the description information and the keyword information into a text classification algorithm for calculation to obtain the classification label of the target object.
An embodiment of a storage medium provided in the present specification is as follows:
in correspondence to the above-described object tag processing method, one or more embodiments of the present disclosure further provide a storage medium based on the same technical concept.
The storage medium provided in this embodiment is configured to store computer executable instructions, where the computer executable instructions when executed implement the following procedures:
at least one object tag obtained by marking a target object by a user and marking data of each object tag are obtained;
determining a target label of the target object according to the at least one object label, marking data of each object label and the classification label of the target object;
and if the target label is inconsistent with the classification label of the target object, updating the classification label of the target object based on the target label.
Optionally, the determining the target label of the target object according to the at least one object label, the marking data of each object label and the classification label of the target object includes:
and inputting the at least one object label, the marking data of each object label and the classification label of the target object into a clustering algorithm to perform clustering processing, and taking the label output by clustering as the target label of the target object.
Optionally, the determining the target label of the target object according to the at least one object label, the marking data of each object label and the classification label of the target object includes:
calculating the weight of each object label according to the marking data of each object label;
and inputting the at least one object tag, the weight of each object tag, the classification tag and the preset weight of the classification tag into a tag processing model for calculation, and obtaining an output tag as a target tag of the target object.
Optionally, the classification label of the target object is determined by the following method:
acquiring description information and keyword information of the target object;
and inputting the description information and the keyword information into a text classification algorithm for calculation to obtain the classification label of the target object.
It should be noted that, the embodiments related to the storage medium in the present specification and the embodiments related to the object tag processing method in the present specification are based on the same inventive concept, so that the specific implementation of the embodiments may refer to the implementation of the corresponding method, and the repetition is not repeated.
The foregoing describes specific embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
In the 30 s of the 20 th century, improvements to one technology could clearly be distinguished as improvements in hardware (e.g., improvements to circuit structures such as diodes, transistors, switches, etc.) or software (improvements to the process flow). However, with the development of technology, many improvements of the current method flows can be regarded as direct improvements of hardware circuit structures. Designers almost always obtain corresponding hardware circuit structures by programming improved method flows into hardware circuits. Therefore, an improvement of a method flow cannot be said to be realized by a hardware entity module. For example, a programmable logic device (Programmable Logic Device, PLD) (e.g., field programmable gate array (Field Programmable Gate Array, FPGA)) is an integrated circuit whose logic function is determined by the programming of the device by a user. A designer programs to "integrate" a digital system onto a PLD without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Moreover, nowadays, instead of manually manufacturing integrated circuit chips, such programming is mostly implemented by using "logic compiler" software, which is similar to the software compiler used in program development and writing, and the original code before the compiling is also written in a specific programming language, which is called hardware description language (Hardware Description Language, HDL), but not just one of the hdds, but a plurality of kinds, such as 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), etc., VHDL (Very-High-Speed Integrated Circuit Hardware Description Language) and Verilog are currently most commonly used. It will also be apparent to those skilled in the art that a hardware circuit implementing the logic method flow can be readily obtained by merely slightly programming the method flow into an integrated circuit using several of the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer readable medium storing computer readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, application specific integrated circuits (Application Specific Integrated Circuit, ASIC), programmable logic controllers, and embedded microcontrollers, examples of which include, but are not limited to, the following microcontrollers: ARC625D, atmel AT91SAM, microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic of the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller in a pure computer readable program code, it is well possible to implement the same functionality by logically programming the method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc. Such a controller may thus be regarded as a kind of hardware component, and means for performing various functions included therein may also be regarded as structures within the hardware component. Or even means for achieving the various functions may be regarded as either software modules implementing the methods or structures within hardware components.
The system, apparatus, module or unit set forth in the above embodiments may be implemented in particular by a computer chip or entity, or by a product having a certain function. One typical implementation is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being functionally divided into various units, respectively. Of course, the functions of each unit may be implemented in the same piece or pieces of software and/or hardware when implementing the embodiments of the present specification.
One skilled in the relevant art will recognize that one or more embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, one or more embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present description can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
The present description is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the specification. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
One or more embodiments of the present specification may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. One or more embodiments of the specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments.
The foregoing description is by way of example only and is not intended to limit the present disclosure. Various modifications and changes may occur to those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. that fall within the spirit and principles of the present document are intended to be included within the scope of the claims of the present document.
Claims (12)
1. An object tag processing method, comprising:
at least one object tag obtained by marking a target object by a user and marking data of each object tag are obtained;
determining the target label of the target object according to the at least one object label, the marking data of each object label and the classification label of the target object, including: inputting the at least one object label, marking data of each object label and the classification label of the target object into a clustering algorithm to perform clustering treatment, and taking the label output by clustering as the target label of the target object;
and if the target label is inconsistent with the classification label of the target object, updating the classification label of the target object based on the target label.
2. The object tag processing method according to claim 1, wherein the object tag of the target object is determined by:
according to an access request of a user for a target object, displaying an object information page containing a tag list of the target object to the user;
and taking the candidate label selected by the user in the label list as the object label of the target object.
3. The object tag processing method according to claim 1, wherein the determining the target tag of the target object according to the at least one object tag, the marking data of each object tag, and the classification tag of the target object includes:
and inputting the at least one object label, the marking data of each object label and the classification label of the target object into a clustering algorithm to perform clustering processing, and taking the label output by clustering as the target label of the target object.
4. The object tag processing method according to claim 1, wherein the classification tag of the target object is determined by:
acquiring description information and keyword information of the target object;
and inputting the description information and the keyword information into a text classification algorithm for calculation to obtain the classification label of the target object.
5. The object tag processing method according to claim 2, wherein candidate tags in the tag list of the target object are obtained by a tag matching model by screening from a pre-configured classified tag library according to the input object information of the target object.
6. The object tag processing method according to claim 2, wherein the access request of the target object is generated by:
acquiring a search keyword input in an application component of a target service carried in an application by a user;
and if the user triggers an access event of the object identification of the target object returned by the search keyword, generating an access request of the target object.
7. The object tag processing method according to claim 6, wherein if the target tag is inconsistent with the classification tag of the target object, the step of updating the classification tag of the target object based on the target tag is performed, further comprising:
and generating and returning an object information page of the target object carrying the target tag in response to an access request of a user for the target object.
8. The object tag processing method according to claim 1, further comprising:
and if the target label is consistent with the classification label of the target object, keeping the classification label of the target object unchanged.
9. The object tag processing method according to any one of claims 1 to 8, the target object comprising an enterprise;
correspondingly, the classification label of the target object comprises an industry label of the enterprise.
10. An object tag processing apparatus comprising:
the tag data acquisition module is configured to acquire at least one object tag obtained by marking a target object by a user and marking data of each object tag;
a target tag determination module configured to determine a target tag of the target object based on the at least one object tag, marking data for each object tag, and a classification tag of the target object, comprising: inputting the at least one object label, marking data of each object label and the classification label of the target object into a clustering algorithm to perform clustering treatment, and taking the label output by clustering as the target label of the target object;
and the classification label updating module is configured to update the classification label of the target object based on the target label if the target label is inconsistent with the classification label of the target object.
11. An object tag processing apparatus comprising:
a processor; and a memory configured to store computer-executable instructions that, when executed, cause the processor to:
at least one object tag obtained by marking a target object by a user and marking data of each object tag are obtained;
determining the target label of the target object according to the at least one object label, the marking data of each object label and the classification label of the target object, including: inputting the at least one object label, marking data of each object label and the classification label of the target object into a clustering algorithm to perform clustering treatment, and taking the label output by clustering as the target label of the target object;
and if the target label is inconsistent with the classification label of the target object, updating the classification label of the target object based on the target label.
12. A storage medium storing computer-executable instructions that when executed implement the following:
at least one object tag obtained by marking a target object by a user and marking data of each object tag are obtained;
determining the target label of the target object according to the at least one object label, the marking data of each object label and the classification label of the target object, including: inputting the at least one object label, marking data of each object label and the classification label of the target object into a clustering algorithm to perform clustering treatment, and taking the label output by clustering as the target label of the target object;
and if the target label is inconsistent with the classification label of the target object, updating the classification label of the target object based on the target label.
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