CN116842106A - Resource clue generation method and device - Google Patents

Resource clue generation method and device Download PDF

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Publication number
CN116842106A
CN116842106A CN202310861958.9A CN202310861958A CN116842106A CN 116842106 A CN116842106 A CN 116842106A CN 202310861958 A CN202310861958 A CN 202310861958A CN 116842106 A CN116842106 A CN 116842106A
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account
resource
data
clue
cue
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王亮
黄秉霞
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Qichacha Technology Co ltd
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Qichacha Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/27Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2457Query processing with adaptation to user needs
    • G06F16/24578Query processing with adaptation to user needs using ranking
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/248Presentation of query results
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/27Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
    • G06F16/275Synchronous replication

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • Computational Linguistics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The application relates to a method and a device for generating resource clues. The method comprises the following steps: acquiring incremental data of a first account, wherein the incremental data corresponds to resource clue data of one or more dimensions; synchronizing resource clue data corresponding to the increment data of the preset attribute under the condition that the preset attribute of the increment data is effective; extracting characteristic information of the resource clue data, and determining a first initial resource clue according to the characteristic information; acquiring account information of a second account associated with the first account, and determining a resource clue of the first account according to the first initial resource clue and the account information of the second account, wherein the second initial resource clue of the second account can be acquired according to the account information of the second account. The method can ensure the accuracy and the effectiveness of the data for generating the resource clues, simultaneously expands the monitoring range of the resource clues and improves the comprehensiveness of the resource clues.

Description

Resource clue generation method and device
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and an apparatus for generating resource clues.
Background
Resource cues refer to information that directs a user to find a resource. At present, common resource clues are: the account opening bank, tax number, capital condition, equity information, business transaction assets and the like can monitor the condition of aspects such as the quantity or state of resources of a target account in real time by monitoring resource clues, wherein the target account comprises an enterprise account or a personal account.
However, the data collected when the resource clues are generated at the present stage is scattered, and is updated frequently, so that it is difficult to accurately generate the high-value resource clues.
Disclosure of Invention
In view of the foregoing, it is necessary to provide a method and an apparatus for generating a resource cue by collecting data related to a resource cue and analyzing the collected data to determine the resource cue of a target account and an associated account.
In a first aspect, the present application provides a method for generating a resource hint. The method comprises the following steps:
acquiring incremental data of a first account, wherein the incremental data corresponds to resource clue data of one or more dimensions;
synchronizing resource clue data corresponding to the increment data of the preset attribute under the condition that the preset attribute of the increment data is effective;
extracting characteristic information of the resource clue data, and determining a first initial resource clue according to the characteristic information;
acquiring account information of a second account associated with a first account, and determining a resource clue of the first account according to the first initial resource clue and the account information of the second account, wherein a second initial resource clue of the second account can be acquired according to the account information of the second account.
In one embodiment, the method further comprises:
storing the first initial resource hint to the first account and the second account.
In one embodiment, the storing the first initial resource hint to the second account comprises:
synchronizing the first initial resource cue to an associated queue;
obtaining account information of the second account according to the account information of the first account;
and storing an associated resource cue data table of the first initial resource cue to the second account.
In one embodiment, the method further comprises:
and pushing the message to a third account subscribed to the first account according to the resource clue.
In one embodiment, the pushing the message to the third account subscribed to the first account according to the resource hint includes:
synchronizing the resource cue to a push queue;
pushing a message to the third account according to the account information of the first account and the resource clue, wherein the third account subscribed to the first account can be determined according to the account information of the first account;
the push record is stored.
In one embodiment, the method further comprises:
judging whether the resource clue data is newly added data or not;
and under the condition that the resource clue data is not newly added data, calculating comparison data according to the resource clue data and the historical resource clue data, extracting characteristic information of the comparison data, and determining a first initial resource clue according to the characteristic information of the comparison data.
In one embodiment, the method further comprises:
verifying the first initial resource hint;
and judging whether the first initial resource clue needs manual auditing or not.
In one embodiment, the validating the first initial resource hint comprises:
and the abnormal change verification is used for judging whether the first initial resource clue exists or not.
In one embodiment, the method further comprises:
and synchronizing the resource cue data, the first initial resource cue and the resource cue to an elastic search server.
In a second aspect, the application further provides a device for generating the resource clues. The device comprises:
the acquisition module is used for acquiring incremental data of the first account, wherein the incremental data corresponds to resource clue data of one or more dimensions;
the synchronization module is used for synchronizing the resource clue data corresponding to the increment data of the preset attribute under the condition that the preset attribute of the increment data is effective;
the first determining module is used for extracting characteristic information of the resource clue data and determining a first initial resource clue according to the characteristic information;
the second determining module is configured to obtain account information of a second account associated with the first account, and determine a resource clue of the first account according to the first initial resource clue and the account information of the second account, where the second initial resource clue of the second account may be obtained according to the account information of the second account.
According to the method and the device for generating the resource clues, the accuracy and the effectiveness of the data for generating the resource clues are guaranteed by acquiring a large amount of data and setting the rule to avoid abnormal data, meanwhile, the effective information of the data is integrated into the resource clues of the target accounts by extracting the characteristic information, so that a user can acquire the resource conditions of the target accounts more conveniently through the resource clues, and the monitoring range of the resource clues is enlarged and the comprehensiveness of the resource clues is improved by integrating the resource clues of the related accounts into the target accounts.
Drawings
FIG. 1 is an application environment diagram of a method for generating resource clues in one embodiment;
FIG. 2 is a flow chart of a method for generating resource clues in one embodiment;
FIG. 3 is a flowchart illustrating a method for generating a resource hint in another embodiment;
FIG. 4 is a diagram of an interface for browsing and querying resource threads in one embodiment;
FIG. 5 is a block diagram of an apparatus for generating resource clues in one embodiment;
fig. 6 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The method for generating the resource clues, provided by the embodiment of the application, can be applied to an application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server. The incremental data, the resource cue data and the corresponding relation thereof can be stored in a data storage system, the server 104 can synchronize the resource cue data from the data storage system, extract characteristic information of the resource cue data, obtain resource cues of accounts and associated accounts, and the user can receive the resource cue related information sent by the server 104 through the terminal 102. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices, where the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.
In one embodiment, as shown in fig. 2, a method for generating resource clues is provided, and the method is applied to the server 104 in fig. 1 for illustration, and includes the following steps:
step 201, obtaining incremental data of a first account, where the incremental data corresponds to resource cue data of one or more dimensions.
Wherein the first account may be a personal account or an enterprise account.
Specifically, when the database capturing the first account has data change, incremental data of the database of the first account is obtained. Here, the data in the database of the first account may be mined by a big data technique, where the data in the database of the first account includes data related to the resource situation of the first account; the database of the first account may be stored in a cloud data storage system or a local data storage system. The incremental data may be read by reading a log file of the database, or may be obtained by periodically comparing the full data of the database. Alternatively, the incremental data of the first account may be obtained from a Message Queue (MQ).
Here, the resource cue data is data reflecting the resource variation condition of the account, the correspondence between the incremental data and the resource cue data may be stored in the data storage system, and after the incremental data of the first account is obtained, the resource cue data of the first account may be obtained according to the correspondence between the incremental data and the resource cue data.
In one implementation, the dimensions of the resource cue data may include a list update dimension that can reflect that an account has added or subtracted a certain type of resource and a compare change dimension that can reflect that an account has partially changed a certain type of resource.
In one implementation, the list update dimension may further include: price enquiry evaluation mechanism, price enquiry evaluation, judicial auction, bidding, land transfer, bond, financing, administrative license, trademark, patent, work copyright, software copyright, stock right freezing, stock right quality and other dimensions, the comparison change dimension can further include: register capital, stakeholders, large stakeholders, strand comparison, and outward investment.
Step 202, synchronizing the resource cue data corresponding to the increment data of the preset attribute under the condition that the preset attribute of the increment data is valid.
In order to ensure that the resource clue data can effectively reflect the resource condition of the account, preset attributes of the incremental data can be set to distinguish whether the incremental data is abnormal data or not, so that interference of the abnormal data is avoided. For example, the business information change record of the account can be obtained, so that the business change date or the business approval date of the account can be obtained, if the change date of the incremental data is later than the business change date or the business approval date for more than thirty days, the incremental data is judged to be abnormal data, and the preset attribute of the incremental data is set to be invalid; if the change date of the incremental data is less than or equal to thirty days after the change date of the industry and commerce or the approval date of the industry and commerce, judging that the incremental data is not abnormal data, and setting the preset attribute of the incremental data to be effective.
In one possible implementation manner, if the preset attribute of the incremental data is invalid, judging that the incremental data is abnormal data, and destroying the incremental data; if the preset attribute of the incremental data is valid, judging that the incremental data is not abnormal data, and synchronizing the resource clue data of the corresponding dimension of the incremental data. It is to be appreciated that resource cue data for multiple dimensions can be synchronized simultaneously, and the dimensions of the resource cue data can include the dimensions of the price enquiry assessment facility, price enquiry assessment, registered capital, and the like.
And 203, extracting characteristic information of the resource clue data, and determining a first initial resource clue according to the characteristic information.
The characteristic information of the resource clue data may include: dimension information and identity information. The dimension of the resource clue data can be determined through the dimension information, and the dimension of the resource clue data can comprise the dimension of the price inquiry evaluation mechanism, price inquiry evaluation, registered capital and the like; account information of the resource cue data main body account can be determined through the identity information. Optionally, the feature information of the resource cue data may further include: resource cue value and resource cue time, etc.
The first initial resource cue is information reflecting a resource condition of the first account. Specifically, the first initial resource hint may include: resource flow direction, resource type, and resource hint type.
Wherein, the resource flow direction may include: suspected inflow, suspected outflow, unknown flow direction, etc.; the resource types may include: complaint assets, non-complaint assets, business transaction assets, real estate, capital, intangible assets, equity, and the like; the resource hint types may include: the method comprises the steps of selecting an asset to inquire an evaluation mechanism, completing the price inquiry evaluation of the asset, auctioning the asset by judicial, clapping the asset, auctioning the non-complaint asset, freezing the non-complaint asset, releasing the bidding information to the outside, adding the bidding information to the outside, trading the asset to the outside, purchasing the new asset, transferring land resources, giving land resources, issuing new bonds, adding a financing, adding administrative permissions, expiring administrative permissions, adding trademarks, adding patents, adding work copyright, adding software copyright, freezing the property, freezing the external holding copyright, freezing the holding copyright of the share, losing the external holding copyright of the share, registering the large share change, not being the large share of the enterprise, adding the share held in the enterprise, dropping the holding share of the enterprise, withdrawing the external investment, and the like.
In one implementation, the first initial resource hint may be determined according to a predetermined rule. For example, after the resource cue data of the stock right out-quality dimension is synchronized, if the synchronized resource cue data is the out-quality person newly added data, it may be determined that the resource flow direction of the first account is "suspected inflow", the resource type is "stock right", and the resource cue type is "stock right out-of-quality held"; similarly, if the synchronized resource cue data is the sponsor invalid data, it may be determined that the resource flow direction of the first account is "flow unknown", the resource type is "equity", and the resource cue type is "equity qualitative change is invalid"; similarly, if the synchronized resource clue data is the target enterprise newly added data, it may be determined that the resource flow direction of the first account is "unknown in flow direction", the resource type is "equity", and the resource clue type is "equity; similarly, if the synchronized resource clue data is the target enterprise invalid data, it may be determined that the resource flow direction of the first account is "flow unknown", the resource type is "equity", and the resource clue type is "equity change is invalid"; similarly, if the synchronized resource clue data is newly added data of the quality authority, it may be determined that the resource flow direction of the first account is "suspected outflow", the resource type is "stock right", and the resource clue type is "having an enterprise or person who has acquired stock right to the enterprise"; similarly, if the synchronized resource cue data quality authority is invalid, it may be determined that the resource flow direction of the first account is "unknown", the resource type is "equity", and the resource cue type is "equity change to the enterprise is invalid".
Step 204, obtaining account information of a second account associated with the first account, and determining a resource clue of the first account according to the first initial resource clue and the account information of the second account, wherein a second initial resource clue of the second account can be obtained according to the account information of the second account.
Illustratively, the resource hint for the first account may include: the account information of the first initial clue of the first account and the second account. Thus, the user can obtain a first initial clue of the first account based on the resource clue of the first account; and acquiring resource clue data of the first account based on the first initial clue. The user can also acquire account information of a second account based on the resource clue of the first account, and acquire a second initial clue based on the account information of the second account; and acquiring resource clue data of the second account based on the second initial clue.
It should be noted that the method for determining the second initial resource clue may be the same as the method for determining the first initial resource clue, which is not described herein.
According to the method for generating the resource clues, the accuracy and the effectiveness of the data for generating the resource clues are guaranteed by acquiring a large amount of data and setting rule avoidance abnormal data, meanwhile, the effective information of the data is integrated into the resource clues of the target accounts by extracting the characteristic information, so that a user can acquire the resource conditions of the target accounts more conveniently through the resource clues, and the monitoring range of the resource clues is enlarged and the comprehensiveness of the resource clues is improved by integrating the resource clues of the related accounts into the target accounts.
Fig. 3 is a flow chart of a method for generating resource clues according to another embodiment, and on the basis of the above embodiment, the method includes the following steps:
step 301, obtaining incremental data of a first account, where the incremental data corresponds to resource cue data of one or more dimensions.
Step 302, synchronizing the resource cue data corresponding to the increment data of the preset attribute under the condition that the preset attribute of the increment data is valid.
After synchronizing the resource hint data, it may happen that historical resource hint data already exists in the same dimension. Therefore, after the thread resource data is synchronized, the thread resource data can be compared with the history resource thread data, and whether the synchronized thread resource data is newly added data, updated data or deleted data can be judged.
Optionally, the method may further comprise step 3031 and step 3032.
Step 3031, it is determined whether the resource hint data is newly added data.
Specifically, if the synchronized resource cue data is the resource cue data which does not exist in the historical resource cue data, judging that the resource cue data is newly added data; if the synchronized resource cue data already exists in the historical resource cue data, judging that the resource cue data is update data; if the historical resource clue data exists the resource clue data which does not exist in the synchronized resource clue data, judging that the resource clue data is deleted data.
Step 3032, calculating comparison data according to the resource cue data and the historical resource cue data, extracting characteristic information of the comparison data, and determining a first initial resource cue according to the characteristic information of the comparison data under the condition that the resource cue data is not newly added data.
Specifically, when the resource cue data is update data or delete data, according to the synchronized resource cue data, changing the data with the same dimension as the resource cue data in the history resource cue data, taking the resource cue data with the dimension as comparison data, extracting the characteristic information of the comparison data, and determining that the first initial resource cue is newly added data according to the characteristic information of the comparison data, and executing step 304.
It should be noted that, the method for extracting the feature information of the comparison data and determining the first initial resource clue according to the feature information of the comparison data is the same as the method for extracting the feature information of the resource clue data and determining the first initial resource clue according to the feature information, which is not described in detail herein.
In this way, the resource cue database can be updated in combination with the historical resource cue data, and since the first initial resource cue is determined only by the changed data, the change condition of the resource cue database can be monitored through the first initial resource cue.
And 304, extracting characteristic information of the resource clue data, and determining a first initial resource clue according to the characteristic information.
After the first initial resource clue of the first account is determined, the first initial resource clue can be subjected to data cleaning to ensure the consistency of the data.
Optionally, the method may further comprise step 3051 and step 3052.
Step 3051, the first initial resource hint is validated.
Further, verifying the first initial resource hint may include: and the repeated verification and the abnormal change verification are used for judging whether the first initial resource clue exists or not, and the abnormal change verification is used for judging whether the first initial resource clue exists or not.
In one implementation, in the case that the verification result is that the first initial resource cue already exists, deleting the already existing first initial resource cue; if the verification result indicates that the first initial resource clue has abnormal changes, for example, the first initial resource clue is frequently changed in a short time, and the abnormally changed first initial resource clue is deleted.
Step 3052, determining if the first initial resource cue requires manual review.
Specifically, for some accounts with higher importance, for example, hot enterprises or large enterprises, the verified first initial resource clue may be manually checked.
In this way, it is possible to further avoid that erroneous data affects the validity of the resource hint before determining the resource hint of the first account.
There is often a transfer of resources between the associated accounts, so by monitoring the clues of the resources of the associated accounts, the resource situation of the target account can be monitored more comprehensively.
Optionally, the method may further include step 306: the first initial resource cue is stored to the first account and the second account.
After determining the first initial resource cue of the first account, the resource cue may be stored in a resource cue data table of the first account. Specifically, the resource cue data table may store account information, resource flow direction, resource type, resource cue name, resource cue value, resource cue description, and other data of the subject account.
Further, storing the first initial resource hint to the second account in step 306 may include steps A1, A2, and A3.
Step A1, synchronize the first initial resource hint to the association queue. Here, the association queue is one storage area waiting for the server 104 to perform association calculation.
And step A2, obtaining account information of a second account according to the account information of the first account. Specifically, the second account is associated with the first account. For example, when the first account is an enterprise, the second account may be a board of directors, stakeholders, high-level, or legal person of the enterprise. For example, when the first account is a person, the second account and the first account may be associated with each other such that there is an investment relationship between the second account and the first account.
And step A3, storing an associated resource clue data table of the first initial resource clue to the second account.
It will be appreciated that the second initial resource cue of the second account may also be stored to the associated resource cue data table of the first account.
It should be noted that, the storage content of the associated resource cue data table may be the same as that of the above resource cue data table, which is not described herein in detail.
Step 307, obtaining account information of a second account associated with the first account, and determining a resource cue of the first account according to the first initial resource cue and the account information of the second account, wherein the second initial resource cue of the second account can be obtained according to the account information of the second account.
It should be noted that the specific implementation manners of the step 301, the step 302, the step 304, and the step 307 may be the same as the implementation manners of the step 201, the step 202, the step 203, and the step 204, and the embodiments of the present application are not described herein.
The method can monitor the resource clues of the target account in real time for the user, and can also send a message to the user subscribed to the first account after determining the resource clues of the first account.
Optionally, the method may further include step 308: and pushing the message to a third account subscribed to the first account according to the resource clue. Specifically, the third account may receive the resource hint message through a phone or an application after subscribing to the first account.
Further, step 308 may include step B1, step B2, and step B3.
And step B1, synchronizing the resource clues to the push queue. Here, the associated queue is one storage area waiting for the server 104 to perform pushing.
And step B2, pushing a message to a third account according to the account information and the resource clue of the first account, wherein the third account subscribed to the first account can be determined according to the account information of the first account.
In one possible implementation, after the third account subscribes to the first account, the account information of the third account may be stored in the account information of the first account. When the resources of the first account change, the third account can receive the resource clue information of the first account, and through the information, the third account can monitor the resource change condition of the first account in real time. In another possible implementation manner, after the third account subscribes to the first account, the account information of the third account may be further stored in the account information of the second account associated with the first account, and when the resources of the second account change, the third account may receive a resource clue message of the second account, through which the third account may monitor the resource change situation with the second account in real time.
And step B3, storing the push record.
The user can inquire the resource change condition of the target account and the related account through pushing records, or the user can inquire through a search server.
Optionally, the method may further comprise step 309: the resource cue data, the first initial resource cue and the resource cue are synchronized to the elastic search server. Specifically, the generated resource cue data, the first initial resource cue and the resource cue can be synchronized to an ES (English: elastic search) in real time, the ES is a search server based on Lucene, a full-text search engine with distributed multi-user capability is provided, and a user can quickly and conveniently inquire the resource cue data, the first initial resource cue and the resource cue through the ES.
In one implementation, the resource cue data, the first initial resource cue and the resource cue may also be displayed on a web interface for the user to browse and query, as illustrated in fig. 4, fig. 4 is a schematic interface diagram of browsing and querying the resource cue.
According to the method for generating the resource clues, the accuracy and the effectiveness of the data for generating the resource clues are guaranteed by acquiring a large amount of data and setting rule avoidance abnormal data, meanwhile, the effective information of the data is integrated into the resource clues of the target accounts by extracting the characteristic information, so that a user can acquire the resource conditions of the target accounts more conveniently through the resource clues, and the monitoring range of the resource clues is enlarged and the comprehensiveness of the resource clues is improved by integrating the resource clues of the related accounts into the target accounts.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a resource cue generation device for realizing the above related resource cue generation method. The implementation of the solution provided by the apparatus is similar to the implementation described in the above method, so the specific limitation in the embodiments of the generating apparatus of one or more resource threads provided below may refer to the limitation of the generating method of the resource threads, which is not described herein.
In one embodiment, as shown in fig. 5, there is provided a resource cue generation apparatus 500, including: an acquisition module 501, a synchronization module 502, a first determination module 503, and a second determination module 504, wherein:
the obtaining module 501 is configured to obtain incremental data of the first account, where the incremental data corresponds to resource cue data of one or more dimensions.
And the synchronization module 502 is configured to synchronize resource cue data corresponding to the incremental data of the preset attribute when the preset attribute of the incremental data is valid.
The first determining module 503 is configured to extract feature information of the resource cue data, and determine a first initial resource cue according to the feature information.
A second determining module 504, configured to obtain account information of a second account associated with the first account, determine a resource cue of the first account according to the first initial resource cue and the account information of the second account, where the second initial resource cue of the second account may be obtained according to the account information of the second account.
In one possible implementation, the apparatus further includes a storage module.
And the storage module is used for storing the first initial resource clue to the first account and the second account.
In one possible implementation, the storage module includes a first association sub-module, a second association sub-module, and a third association sub-module.
And the first association submodule is used for synchronizing the first initial resource clue to the association queue.
And the second association sub-module is used for obtaining the account information of the second account according to the account information of the first account.
And the third association sub-module is used for storing the association resource clue data table from the first initial resource clue to the second account.
In one possible implementation, the apparatus further includes a push module.
And the pushing module is used for pushing the message to a third account subscribed to the first account according to the resource clue.
In one possible implementation, the push module includes a first push sub-module, a second push sub-module, and a third push sub-module.
And the first pushing sub-module is used for synchronizing the resource clues to the pushing queue.
And the second pushing sub-module is used for pushing the message to the third account according to the account information and the resource clue of the first account, wherein the third account subscribed to the first account can be determined according to the account information of the first account.
And the second pushing sub-module is used for storing the pushing record.
In one possible implementation, the apparatus further includes a comparison module.
The comparison module is used for judging whether the resource clue data is newly added data or not; and under the condition that the resource clue data is not newly added data, calculating comparison data according to the resource clue data and the historical resource clue data, extracting characteristic information of the comparison data, and determining a first initial resource clue according to the characteristic information of the comparison data.
In one possible implementation, the apparatus further includes a data cleansing module.
The data cleaning module is used for verifying the first initial resource clue; and judging whether the first initial resource clue needs manual auditing or not.
In one possible implementation, the data cleansing module includes: and the repeated verification sub-module and the abnormal change verification sub-module.
And the repeated verification sub-module is used for judging whether the first initial resource clue exists.
And the abnormal change verification sub-module is used for judging whether the first initial resource clue has abnormal change or not.
In one possible implementation, the apparatus further includes a search server synchronization module.
And the search server synchronization module is used for synchronizing the resource clue data, the first initial resource clue and the resource clue to the elastic search server.
The above-described modules in the resource cue generation apparatus may be implemented in whole or in part by software, hardware, or a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 6. The computer device includes a processor, a memory, an Input/Output interface (I/O) and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used to store relevant data for generating resource hints. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by a processor, implements a method of generating resource threads. It will be appreciated by those skilled in the art that the structure shown in FIG. 6 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In an embodiment, there is also provided a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the steps of the method embodiments described above.
In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.
It should be noted that, account information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or sufficiently authorized by each party, and the collection, use and processing of related data need to comply with related laws and regulations and standards of related countries and regions.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.

Claims (10)

1. A method for generating resource clues, the method comprising:
acquiring incremental data of a first account, wherein the incremental data corresponds to resource clue data of one or more dimensions;
synchronizing resource clue data corresponding to the increment data of the preset attribute under the condition that the preset attribute of the increment data is effective;
extracting characteristic information of the resource clue data, and determining a first initial resource clue according to the characteristic information;
acquiring account information of a second account associated with a first account, and determining a resource clue of the first account according to the first initial resource clue and the account information of the second account, wherein a second initial resource clue of the second account can be acquired according to the account information of the second account.
2. The method according to claim 1, wherein the method further comprises: storing the first initial resource hint to the first account and the second account.
3. The method of claim 2, wherein the storing the first initial resource hint to the second account comprises:
synchronizing the first initial resource cue to an associated queue;
obtaining account information of the second account according to the account information of the first account;
and storing an associated resource cue data table of the first initial resource cue to the second account.
4. The method according to claim 1, wherein the method further comprises: and pushing the message to a third account subscribed to the first account according to the resource clue.
5. The method of claim 4, wherein pushing messages to a third account subscribed to the first account according to the resource hint comprises:
synchronizing the resource cue to a push queue;
pushing a message to the third account according to the account information of the first account and the resource clue, wherein the third account subscribed to the first account can be determined according to the account information of the first account;
the push record is stored.
6. The method according to claim 1, wherein the method further comprises:
judging whether the resource clue data is newly added data or not;
and under the condition that the resource clue data is not newly added data, calculating comparison data according to the resource clue data and the historical resource clue data, extracting characteristic information of the comparison data, and determining a first initial resource clue according to the characteristic information of the comparison data.
7. The method according to claim 1, wherein the method further comprises:
verifying the first initial resource hint;
and judging whether the first initial resource clue needs manual auditing or not.
8. The method of claim 7, wherein the validating the first initial resource cue comprises:
and the abnormal change verification is used for judging whether the first initial resource clue exists or not.
9. The method according to any one of claims 1 to 8, further comprising: and synchronizing the resource cue data, the first initial resource cue and the resource cue to an elastic search server.
10. A device for generating resource clues, the device comprising:
the acquisition module is used for acquiring incremental data of the first account, wherein the incremental data corresponds to resource clue data of one or more dimensions;
the synchronization module is used for synchronizing the resource clue data corresponding to the increment data of the preset attribute under the condition that the preset attribute of the increment data is effective;
the first determining module is used for extracting characteristic information of the resource clue data and determining a first initial resource clue according to the characteristic information;
the second determining module is configured to obtain account information of a second account associated with the first account, and determine a resource clue of the first account according to the first initial resource clue and the account information of the second account, where the second initial resource clue of the second account may be obtained according to the account information of the second account.
CN202310861958.9A 2023-07-13 2023-07-13 Resource clue generation method and device Pending CN116842106A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117235372A (en) * 2023-11-10 2023-12-15 支付宝(杭州)信息技术有限公司 Resource tracking method and device

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117235372A (en) * 2023-11-10 2023-12-15 支付宝(杭州)信息技术有限公司 Resource tracking method and device
CN117235372B (en) * 2023-11-10 2024-02-02 支付宝(杭州)信息技术有限公司 Resource tracking method and device

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