CN112015892A - Resource allocation method and device and electronic equipment - Google Patents
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Abstract
The disclosure relates to a resource allocation method, a resource allocation device, an electronic device and a computer readable medium. The method comprises the following steps: accepting input information of an operator to generate a resource allocation rule; extracting a target user from a plurality of users based on the resource allocation rule; allocating a specific identifier to the target user; and allocating the predetermined resource to the target user based on the specific identification, and sending allocation result information to the target user. The resource allocation method, the resource allocation device, the electronic equipment and the computer readable medium can quickly and effectively screen out the target users, further directionally send special resource related information to part of users, save the input cost of manpower and material resources and automatically allocate resources to the target users.
Description
Technical Field
The present disclosure relates to the field of computer information processing, and in particular, to a resource allocation method, device, electronic device, and computer readable medium.
Background
With the development of science and technology, new industries are increased, and product marketing methods are different among different industries. Financial services are a new company that has emerged with internet technology, and are mainly generated to meet the needs of enterprise users or individual users for financial products. The enterprise user or individual user may make a request for a financial service to a financial services institution, and the individual user may, for example, request a credit product for an amount and a repayment period from the financial services institution and then pay the financial services institution a fee. The financial service institution can prompt the user to make a financial service request by actively issuing the special resource of the financial product to the user, and the user receiving the special resource information can also reduce the service application cost per se through the product details in the special resource voucher.
In the prior art, when a new special resource activity is pushed out, information can be pushed to all users, but long-term tracking of the special resource activity finds that the mode of sending information to all users is very wasteful of manpower and material resources, high-risk customers can be introduced, and the effect received by the mode is not proportional to the cost paid by the mode.
Therefore, a new resource allocation method, apparatus, electronic device and computer readable medium are needed.
The above information disclosed in this background section is only for enhancement of understanding of the background of the disclosure and therefore it may contain information that does not constitute prior art that is already known to a person of ordinary skill in the art.
Disclosure of Invention
In view of this, the present disclosure provides a resource allocation method, device, electronic device, and computer readable medium, which can quickly and effectively screen out target users, and then directionally send information related to shared resources to some users, save the input cost of manpower and material resources, and automatically allocate resources to the target users.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of the disclosure.
According to an aspect of the present disclosure, a resource allocation method is provided, which includes: accepting input information of an operator to generate a resource allocation rule; extracting a target user from a plurality of users based on the resource allocation rule; allocating a specific identifier to the target user; and allocating the predetermined resource to the target user based on the specific identification, and sending allocation result information to the target user.
Optionally, the method further comprises: determining a feature tag based on the resource allocation rule; generating a characteristic user set through the target user with a specific identification, and allocating the characteristic label to the characteristic user set.
Optionally, the method further comprises: determining predetermined information to be pushed; determining a characteristic label; determining a target feature user set from a plurality of feature user sets based on the feature tag; and pushing the preset information for the users in the target characteristic user set.
Optionally, before generating the resource allocation rule, the method includes: auditing and checking the initial resource allocation rule; and determining the pushing rule after the verification is passed.
Optionally, before performing audit verification on the initial resource allocation rule, the method includes: acquiring character information of user data; performing semantic recognition on the text information to acquire a keyword in the text information; determining the initial resource allocation rule based on the keyword.
Optionally, extracting a target user from the plurality of users based on the resource allocation rule includes: acquiring a keyword in the pushing rule; and screening the plurality of users based on the keywords to extract the target user.
Optionally, allocating the predetermined resource to the target user comprises: and determining a preset resource allocation mode based on the push rule.
Optionally, sending allocation result information to the target user, including: determining a target channel, the channel comprising: a short message service channel, a flash service channel, a timing information service channel, and a telephone service channel; and pushing the distribution result information to the target user through the target channel.
Optionally, after sending the allocation result information to the target user, the method includes: acquiring behavior information of the target user; and verifying the pushing effect of the preset information based on the behavior information.
Optionally, verifying the pushing effect of the predetermined information based on the behavior information includes: acquiring behavior information of users in a comparison group; comparing the behavior information of the comparison group user with the behavior of the target user to generate a difference curve; and verifying the pushing effect of the predetermined information based on the difference curve.
According to an aspect of the present disclosure, a resource allocation apparatus is provided, the apparatus including: the rule module is used for receiving input information of an operator to generate a resource allocation rule; a user module for extracting a target user from a plurality of users based on the resource allocation rule; the identification module is used for distributing a specific identification for the target user; and the allocation module is used for allocating the preset resource to the target user based on the specific identifier and sending allocation result information to the target user.
Optionally, the method further comprises: a tag module to determine a feature tag based on the resource allocation rule; generating a characteristic user set through the target user with a specific identification, and allocating the characteristic label to the characteristic user set.
Optionally, the method further comprises: the information module is used for determining the preset information to be pushed; a feature module to determine a feature tag; a set module for determining a target feature user set from a plurality of feature user sets based on the feature tag; and the pushing module is used for distributing the preset resources to the users in the target characteristic user set and sending distribution result information to the users in the target characteristic user set.
Optionally, the method further comprises: the rule checking module is used for auditing and checking the initial resource allocation rule; and determining the pushing rule after the verification is passed.
Optionally, the rule checking module further includes: the identification unit is used for acquiring character information of user data; performing semantic recognition on the text information to acquire a keyword in the text information; determining the initial resource allocation rule based on the keyword.
Optionally, the user module includes: the screening unit is used for acquiring the keywords in the pushing rules; and screening the plurality of users based on the keywords to extract the target user.
Optionally, the allocating module is further configured to determine a predetermined resource allocation manner based on the push rule.
Optionally, the allocation module is further configured to determine a target channel, where the channel includes: a short message service channel, a flash service channel, a timing information service channel, and a telephone service channel; and pushing the distribution result information to the target user through the target channel.
Optionally, the method further comprises: the verification module is used for acquiring the behavior information of the target user; and verifying the pushing effect of the preset information based on the behavior information.
Optionally, the verification module includes: the comparison unit is used for acquiring the behavior information of the comparison group users; comparing the behavior information of the comparison group user with the behavior of the target user to generate a difference curve; and verifying the pushing effect of the predetermined information based on the difference curve.
According to an aspect of the present disclosure, an electronic device is provided, the electronic device including: one or more processors; storage means for storing one or more programs; when executed by one or more processors, cause the one or more processors to implement a method as above.
According to an aspect of the disclosure, a computer-readable medium is proposed, on which a computer program is stored, which program, when being executed by a processor, carries out the method as above.
According to the resource allocation method, the resource allocation device, the electronic equipment and the computer readable medium, input information of an operator is accepted to generate a resource allocation rule; extracting a target user from a plurality of users based on the resource allocation rule; allocating a specific identifier to the target user; and based on the specific identification, the preset resources are allocated to the target users, and the allocation result information is sent to the target users, so that the target users can be screened out quickly and effectively, information related to special shared resources is sent to part of users in a directional mode, the input cost of manpower and material resources is saved, and the resources can be automatically allocated to the target users.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
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The above and other objects, features and advantages of the present disclosure will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings. The drawings described below are merely some embodiments of the present disclosure, and other drawings may be derived from those drawings by those of ordinary skill in the art without inventive effort.
Fig. 1 is a flow chart illustrating a method of resource allocation in accordance with an example embodiment.
Fig. 2 is a flow chart illustrating a method of resource allocation in accordance with an example embodiment.
Fig. 3 is a flow chart illustrating a method of resource allocation according to another exemplary embodiment.
Fig. 4 is a block diagram illustrating a resource allocation apparatus according to an example embodiment.
Fig. 5 is a block diagram illustrating a resource allocation apparatus according to another exemplary embodiment.
FIG. 6 is a block diagram illustrating an electronic device in accordance with an example embodiment.
FIG. 7 is a block diagram illustrating a computer-readable medium in accordance with an example embodiment.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the embodiments 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. The same reference numerals denote the same or similar parts in the drawings, and thus, a repetitive description thereof will be omitted.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known methods, devices, implementations, or operations have not been shown or described in detail to avoid obscuring aspects of the disclosure.
The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.
The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
It will be understood that, although the terms first, second, third, etc. may be used herein to describe various components, these components should not be limited by these terms. These terms are used to distinguish one element from another. Thus, a first component discussed below may be termed a second component without departing from the teachings of the disclosed concept. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
It is to be understood by those skilled in the art that the drawings are merely schematic representations of exemplary embodiments, and that the blocks or processes shown in the drawings are not necessarily required to practice the present disclosure and are, therefore, not intended to limit the scope of the present disclosure.
In the present invention, resources refer to any available substances, information, time, information resources including computing resources and various types of data resources. The data resources include various private data in various domains. The innovation of the invention is how to use the information interaction technology between the server and the client to make the resource allocation process more automatic, efficient and reduce the labor cost. Thus, the present invention can be applied to the distribution of various resources including physical goods, water, electricity, and meaningful data, essentially. However, for convenience, the resource allocation is described as being implemented by taking financial data resources as an example, but those skilled in the art will understand that the present invention can also be applied to allocation of other resources.
Fig. 1 is a flow chart illustrating a method of resource allocation in accordance with an example embodiment. The resource allocation method 10 includes at least steps S102 to S108.
As shown in fig. 1, in S102, input information of an operator is accepted to generate a resource allocation rule. An information input platform may be provided to receive information input by an operator, who may be an administrator to be promoted with the particular resource.
The resource allocation rule may be a text description, a keyword, or a user image description language in the industry, and the disclosure is not limited thereto.
In one embodiment, generating the resource allocation rule comprises: auditing and checking the initial resource allocation rule; and determining the pushing rule after the verification is passed. The content of "audit checking the initial resource allocation rule" will be described in the embodiment corresponding to fig. 3.
In S104, a target user is extracted among the plurality of users based on the resource allocation rule. The method comprises the following steps: acquiring a keyword in the pushing rule; and screening the plurality of users based on the keywords to extract the target user.
The method comprises the steps of carrying out feature labeling on all users through a trained user feature model in advance to generate post labels of the users, and then comparing keywords with the feature labels of the users to screen out target users. More specifically, the feature tags of user a may be "quadratic", "00 post", "professional player", etc.; if the keyword in the resource allocation rule is "young", similarity comparison is performed between the feature tag of the user a and the keyword, and the "00 later" and the "young" belong to words with similar meanings, so that the user a can be considered to meet the screening condition.
In S106, a specific identifier is assigned to the target user. A unique string of characters may be set for the screened target user as the identifier. Keywords may also be used, for example, as a specific identification of the user. That is, when the keyword of the resource allocation rule is "young", all the screened target users are allocated with "young" tags as the specific identifier.
For example, the name of the special shared resource activity is used as the label of the target user, so that when the same special shared resource activity exists next time, the target user can be located through the activity label, and the message is further pushed.
Further comprising: determining a feature tag based on the resource allocation rule; generating a characteristic user set through the target user with a specific identification, and allocating the characteristic label to the characteristic user set. More specifically, all users having the same type of label may be categorized to generate a feature user set.
In S108, the predetermined resource is allocated to the target user based on the specific identifier, and allocation result information is sent to the target user. The method comprises the following steps: and determining a preset resource allocation mode based on the push rule.
In one embodiment, sending the allocation result information to the target user includes: determining a target channel, the channel comprising: a short message service channel, a flash service channel, a timing information service channel, and a telephone service channel; and pushing the distribution result information to the target user through the target channel.
According to the resource allocation method disclosed by the invention, input information of an operator is accepted to generate a resource allocation rule; extracting a target user from a plurality of users based on the resource allocation rule; allocating a specific identifier to the target user; and based on the specific identification, the preset resources are allocated to the target users, and the allocation result information is sent to the target users, so that the target users can be screened out quickly and effectively, information related to special shared resources is sent to part of users in a directional mode, the input cost of manpower and material resources is saved, and the resources can be automatically allocated to the target users.
It should be clearly understood that this disclosure describes how to make and use particular examples, but the principles of this disclosure are not limited to any details of these examples. Rather, these principles can be applied to many other embodiments based on the teachings of the present disclosure.
Fig. 2 is a flow chart illustrating a method of resource allocation according to another exemplary embodiment. The flow shown in fig. 2 is a supplementary description of the flow shown in fig. 1.
As shown in fig. 2, in S202, predetermined information to be pushed is determined. The predetermined information includes information related to the specific resource. The specific resource may be more specifically coupon information, discount coupon information, and the like.
In S204, a feature tag is determined. The feature tag may be determined from the information to be pushed, and may be, for example, a "new user" or an "unfinished" user, if the information to be pushed is a special resource of the "head order exemption" class, and so on.
In S206, a target feature user set is determined from the plurality of feature user sets based on the feature tag.
Wherein a feature tag may be determined based on the resource allocation rule; generating a characteristic user set through the target user with a specific identification, and allocating the characteristic label to the characteristic user set. A plurality of feature user sets may be generated, each feature user set having its corresponding unique tag.
And screening a plurality of characteristic user sets according to the characteristic labels to determine the most similar characteristic user set.
In S208, the predetermined information is pushed for the users in the target feature user set. More specifically, the appointment information can be pushed through various information channels. The channel includes: short message service channel, flash service channel, timing information service channel, and telephone service channel.
In marketing activities, issuing tickets is always one of the more effective motivations. The resource allocation method in the disclosure can meet the requirement of rapidly and directionally determining the target crowd through the crowd bag pre-issuing function based on the premise that the conversion effect of the specific screening user issuing is superior to that of the full-amount issuing.
In one embodiment, after sending the allocation result information to the target user, the method includes: acquiring behavior information of the target user; and verifying the pushing effect of the preset information based on the behavior information. Wherein verifying the pushing effect of the predetermined information based on the behavior information comprises: acquiring behavior information of users in a comparison group; comparing the behavior information of the comparison group user with the behavior of the target user to generate a difference curve; and verifying the pushing effect of the predetermined information based on the difference curve. In order to check the effect of information pushing, a target user of the pushed information or a target user in the target feature user set can be tracked, so that when the information is pushed, besides the screened target user, a user of a comparison group needs to be selected, and the pushed information is also sent to the users of the comparison group, so that the behavior information of the users of the comparison group is compared with the behavior of the target user.
The users in the comparison group can be determined by random screening, and can also be screened by the mobile phone tail number of the user, for example, the user with the mobile phone tail number of 0 can be determined as the user in the comparison group, and so on.
Fig. 3 is a flow chart illustrating a method of resource allocation according to another exemplary embodiment. The flow shown in fig. 3 is a detailed description of "audit verification of initial resource allocation rule" in the flow shown in fig. 1.
As shown in fig. 3, in S302, text information of the user data is acquired.
In S304, semantic recognition is performed on the text information to obtain a keyword in the text information. The semantic recognition is one of important components of Natural Language Processing (NLP) technology, and the core of semantic recognition understands not only the meaning of a text vocabulary but also the meaning of the word represented in a sentence or a chapter, which means that the semantic recognition technically needs to: the method comprises the following steps of semantic analysis and ambiguity elimination at the level of text, vocabulary, syntax, morphology, chapter (paragraph) and corresponding meaning recombination so as to achieve the aim of identifying the text, the vocabulary, the syntax, the morphology and the chapter (paragraph).
Semantic recognition may include: and (3) word analysis and information extraction: the method comprises word segmentation, part-of-speech tagging, named entity recognition and word sense disambiguation, and important keyword information is extracted from a given text. The semantic recognition function can be realized through the trained deep neural network model.
In S306, the initial resource allocation rule is determined based on the keyword.
In S308, an audit check is performed on the initial resource allocation rule based on the keyword. A blacklist of keywords may be established, and when a resource allocation rule includes a keyword in the blacklist, the resource allocation rule is not allowed to be established.
Those skilled in the art will appreciate that all or part of the steps implementing the above embodiments are implemented as computer programs executed by a CPU. When executed by the CPU, performs the functions defined by the above-described methods provided by the present disclosure. The program may be stored in a computer readable storage medium, which may be a read-only memory, a magnetic or optical disk, or the like.
Furthermore, it should be noted that the above-mentioned figures are only schematic illustrations of the processes involved in the methods according to exemplary embodiments of the present disclosure, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods. For details not disclosed in the embodiments of the apparatus of the present disclosure, refer to the embodiments of the method of the present disclosure.
Fig. 4 is a block diagram illustrating a resource allocation apparatus according to another exemplary embodiment. As shown in fig. 4, the resource allocation apparatus 40 includes: a rules module 402, a user module 404, an identification module 406, and an assignment module 408.
The rule module 402 is used for accepting input information of an operator to generate a resource allocation rule;
the user module 404 is configured to extract a target user from the plurality of users based on the resource allocation rule; the user module 404 includes: the screening unit is used for acquiring the keywords in the pushing rules; and screening the plurality of users based on the keywords to extract the target user.
The identification module 406 is configured to assign a specific identification to the target user;
the allocating module 408 is configured to allocate the predetermined resource to the target user based on the specific identifier and send allocation result information to the target user. The allocating module 408 is further configured to determine a predetermined resource allocation manner based on the push rule. The assignment module 408 is further configured to determine a target channel, the channel comprising: a short message service channel, a flash service channel, a timing information service channel, and a telephone service channel; and pushing the distribution result information to the target user through the target channel.
Fig. 5 is a block diagram illustrating a resource allocation apparatus according to an example embodiment. As shown in fig. 5, the resource allocation apparatus 50 includes: an information module 502, a characteristics module 504, a collection module 506, and a push module 508.
The information module 502 is used for determining predetermined information to be pushed;
the feature module 504 is to determine a feature tag;
a set module 506 for determining a target feature user set from a plurality of feature user sets based on the feature tag;
the pushing module 508 is configured to allocate the predetermined resource to the users in the target feature user set, and send allocation result information to the users in the target feature user set.
The resource allocation apparatus 50 may further include: a tag module to determine a feature tag based on the resource allocation rule; generating a characteristic user set through the target user with a specific identification, and allocating the characteristic label to the characteristic user set.
The resource allocation apparatus 50 may further include: the rule checking module is used for auditing and checking the initial resource allocation rule; and determining the pushing rule after the verification is passed. The rule checking module further comprises: the identification unit is used for acquiring character information of user data; performing semantic recognition on the text information to acquire a keyword in the text information; determining the initial resource allocation rule based on the keyword.
The resource allocation apparatus 50 may further include: the verification module is used for acquiring the behavior information of the target user; and verifying the pushing effect of the preset information based on the behavior information. The verification module comprises: the comparison unit is used for acquiring the behavior information of the comparison group users; comparing the behavior information of the comparison group user with the behavior of the target user to generate a difference curve; and verifying the pushing effect of the predetermined information based on the difference curve.
According to the resource allocation apparatus of the present disclosure, a resource allocation rule is generated based on input information of an operator; extracting a target user from a plurality of users based on the resource allocation rule; allocating a specific identifier to the target user; and based on the specific identification, the preset resources are allocated to the target users, and allocation result information is sent to the target users, so that the target users can be screened out quickly and effectively, information related to special shared resources is sent to part of users in a directional mode, the input cost of manpower and material resources is saved, and financial resources can be automatically allocated to the target users.
FIG. 6 is a block diagram illustrating an electronic device in accordance with an example embodiment.
An electronic device 600 according to this embodiment of the disclosure is described below with reference to fig. 6. The electronic device 600 shown in fig. 6 is only an example and should not bring any limitations to the function and scope of use of the embodiments of the present disclosure.
As shown in fig. 6, the electronic device 600 is embodied in the form of a general purpose computing device. The components of the electronic device 600 may include, but are not limited to: at least one processing unit 610, at least one storage unit 620, a bus 630 that connects the various system components (including the storage unit 620 and the processing unit 610), a display unit 640, and the like.
Wherein the storage unit stores program code executable by the processing unit 610 to cause the processing unit 610 to perform steps according to various exemplary embodiments of the present disclosure described in the above-mentioned electronic prescription flow processing method section of the present specification. For example, the processing unit 610 may perform the steps as shown in fig. 1, 2, 3.
The storage unit 620 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)6201 and/or a cache memory unit 6202, and may further include a read-only memory unit (ROM) 6203.
The memory unit 620 may also include a program/utility 6204 having a set (at least one) of program modules 6205, such program modules 6205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The electronic device 600 may also communicate with one or more external devices 600' (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 600, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 600 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 650. Also, the electronic device 600 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet) via the network adapter 660. The network adapter 660 may communicate with other modules of the electronic device 600 via the bus 630. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 600, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, as shown in fig. 7, the technical solution according to the embodiment of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, or a network device, etc.) to execute the above method according to the embodiment of the present disclosure.
The software product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable storage medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable storage medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a readable storage 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 carrying out operations of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. 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. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
The computer readable medium carries one or more programs which, when executed by a device, cause the computer readable medium to perform the functions of: accepting input information of an operator to generate a resource allocation rule; extracting a target user from a plurality of users based on the resource allocation rule; allocating a specific identifier to the target user; and allocating the predetermined resource to the target user based on the specific identification, and sending allocation result information to the target user.
Those skilled in the art will appreciate that the modules described above may be distributed in the apparatus according to the description of the embodiments, or may be modified accordingly in one or more apparatuses unique from the embodiments. The modules of the above embodiments may be combined into one module, or further split into multiple sub-modules.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a mobile terminal, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
Exemplary embodiments of the present disclosure are specifically illustrated and described above. It is to be understood that the present disclosure is not limited to the precise arrangements, instrumentalities, or instrumentalities described herein; on the contrary, the disclosure is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (10)
1. A method for resource allocation, comprising:
accepting input information of an operator to generate a resource allocation rule;
extracting a target user from a plurality of users based on the resource allocation rule;
allocating a specific identifier to the target user;
and allocating the predetermined resource to the target user based on the specific identification, and sending allocation result information to the target user.
2. The method of claim 1, further comprising:
determining a feature tag based on the resource allocation rule;
generating a characteristic user set through the target user with a specific identification, and allocating the characteristic label to the characteristic user set.
3. The method of any of claims 1-2, further comprising:
determining predetermined information to be pushed;
determining a characteristic label;
determining a target feature user set from a plurality of feature user sets based on the feature tag;
and pushing the preset information for the users in the target characteristic user set.
4. The method of any of claims 1-3, wherein generating the resource allocation rule is preceded by:
auditing and checking the initial resource allocation rule;
and determining the pushing rule after the verification is passed.
5. The method of any of claims 1-4, wherein prior to performing an audit check on the initial resource allocation rule, comprising:
acquiring character information of user data;
performing semantic recognition on the text information to acquire a keyword in the text information;
determining the initial resource allocation rule based on the keyword.
6. The method of any one of claims 1-5, wherein extracting a target user among a plurality of users based on the resource allocation rule comprises:
acquiring a keyword in the pushing rule;
and screening the plurality of users based on the keywords to extract the target user.
7. The method of any one of claims 1-6, wherein allocating the predetermined resource to the target user comprises:
and determining a preset resource allocation mode based on the push rule.
8. A resource allocation apparatus, comprising:
the rule module is used for receiving input information of an operator to generate a resource allocation rule;
a user module for extracting a target user from a plurality of users based on the resource allocation rule;
the identification module is used for distributing a specific identification for the target user;
and the allocation module is used for allocating the preset resource to the target user based on the specific identifier and sending allocation result information to the target user.
9. An electronic device, comprising:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.
10. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-7.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112990662A (en) * | 2021-02-07 | 2021-06-18 | 支付宝(杭州)信息技术有限公司 | Target resource determination method and device |
CN114169733A (en) * | 2021-12-01 | 2022-03-11 | 京东科技控股股份有限公司 | Resource allocation method and device |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107370830A (en) * | 2017-08-31 | 2017-11-21 | 成都中建科联网络科技有限公司 | Trade information supplying system and method based on big data |
CN108805694A (en) * | 2018-05-24 | 2018-11-13 | 平安普惠企业管理有限公司 | Credit consultation method of servicing, device, equipment and computer readable storage medium |
CN109118296A (en) * | 2018-09-04 | 2019-01-01 | 南京星邺汇捷网络科技有限公司 | Movable method for pushing, device and electronic equipment |
CN109241427A (en) * | 2018-09-04 | 2019-01-18 | 中国平安人寿保险股份有限公司 | Information-pushing method, device, computer equipment and storage medium |
CN109635155A (en) * | 2018-12-17 | 2019-04-16 | 杭州柚子街信息科技有限公司 | For the method, apparatus of user's pushing video, electronic equipment and storage medium |
CN110019693A (en) * | 2017-07-25 | 2019-07-16 | 百度在线网络技术(北京)有限公司 | Information recommendation method, server and the computer-readable medium of intelligent customer service |
CN111159534A (en) * | 2019-12-03 | 2020-05-15 | 泰康保险集团股份有限公司 | User portrait based aid decision making method and device, equipment and medium |
CN111428131A (en) * | 2020-03-17 | 2020-07-17 | 苏宁金融科技(南京)有限公司 | Information pushing method, device and system |
-
2020
- 2020-07-24 CN CN202010721610.6A patent/CN112015892A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110019693A (en) * | 2017-07-25 | 2019-07-16 | 百度在线网络技术(北京)有限公司 | Information recommendation method, server and the computer-readable medium of intelligent customer service |
CN107370830A (en) * | 2017-08-31 | 2017-11-21 | 成都中建科联网络科技有限公司 | Trade information supplying system and method based on big data |
CN108805694A (en) * | 2018-05-24 | 2018-11-13 | 平安普惠企业管理有限公司 | Credit consultation method of servicing, device, equipment and computer readable storage medium |
CN109118296A (en) * | 2018-09-04 | 2019-01-01 | 南京星邺汇捷网络科技有限公司 | Movable method for pushing, device and electronic equipment |
CN109241427A (en) * | 2018-09-04 | 2019-01-18 | 中国平安人寿保险股份有限公司 | Information-pushing method, device, computer equipment and storage medium |
CN109635155A (en) * | 2018-12-17 | 2019-04-16 | 杭州柚子街信息科技有限公司 | For the method, apparatus of user's pushing video, electronic equipment and storage medium |
CN111159534A (en) * | 2019-12-03 | 2020-05-15 | 泰康保险集团股份有限公司 | User portrait based aid decision making method and device, equipment and medium |
CN111428131A (en) * | 2020-03-17 | 2020-07-17 | 苏宁金融科技(南京)有限公司 | Information pushing method, device and system |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112990662A (en) * | 2021-02-07 | 2021-06-18 | 支付宝(杭州)信息技术有限公司 | Target resource determination method and device |
CN112990662B (en) * | 2021-02-07 | 2022-10-04 | 支付宝(杭州)信息技术有限公司 | Target resource determination method and device |
CN114169733A (en) * | 2021-12-01 | 2022-03-11 | 京东科技控股股份有限公司 | Resource allocation method and device |
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