CN115186159A - Search processing method and device based on block chain - Google Patents
Search processing method and device based on block chain Download PDFInfo
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- CN115186159A CN115186159A CN202210808280.3A CN202210808280A CN115186159A CN 115186159 A CN115186159 A CN 115186159A CN 202210808280 A CN202210808280 A CN 202210808280A CN 115186159 A CN115186159 A CN 115186159A
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- G06—COMPUTING; CALCULATING OR COUNTING
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- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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Abstract
The application provides a search processing method and a search processing device based on a block chain, which relate to the field of intelligent data management and can be applied to the financial field and other fields, wherein the method comprises the following steps: traversing a preset database according to search keywords provided by a user to obtain one or more pieces of search data, and generating first hash data according to the search data; providing the search data to a user, and recording first hash data and a user identifier corresponding to the search data selected by the user to a block chain network; and constructing a user portrait according to the first hash data and the user identification in the block chain network, and screening search data obtained by subsequent search of the user through the user portrait to obtain a search result.
Description
Technical Field
The application relates to the field of intelligent data management, can be applied to the financial field and other fields, and particularly relates to a search processing method and device based on a block chain.
Background
With the development of information technology, internet applications have entered people's lives and works in various aspects, and when a user needs to know about an event or some information, the user prefers to search for target information by means of keyword search. In the process, the user does not know the events, and only needs to search for related information, so that the target data cannot be accurately located in the keyword searching process, and in the information explosion days, the quantity of the information matched with the keywords obtained by matching from mass data words is usually far higher than the expected quantity, and the user is difficult to directly locate the target data.
For example, many users use a search function of a mobile phone application today, many scenes are not results desired by the users during searching, and at the moment, the users can only change keywords of the searching to trigger the searching again, so that the user experience is very poor; based on this, there is a need for an efficient search processing method to improve the search efficiency of users.
Disclosure of Invention
The application aims to provide a search processing method and device based on a block chain, which are used for depicting user images for use habits of different users, so that search contents of the users are screened and adjusted based on the user images, search requirements of the users are met, and efficiency of the search contents is improved.
To achieve the above object, the block chain based search processing method provided in the present application specifically includes: traversing a preset database according to search keywords provided by a user to obtain one or more pieces of search data, and generating first hash data according to the search data; providing the search data to a user, and recording first hash data and a user identifier corresponding to the search data selected by the user to a blockchain network; and constructing a user portrait according to the first hash data and the user identification in the blockchain network, and screening search data obtained by subsequent search of the user through the user portrait to obtain a search result.
In the search processing method based on the block chain, optionally, traversing the preset database according to the search keyword provided by the user to obtain one or more pieces of search data further includes: and obtaining one or more pieces of associated data through a big data algorithm according to the search data, and generating second hash data according to the associated data.
In the search processing method based on the blockchain, optionally, the recording, to the blockchain network, first hash data and a user identifier corresponding to search data selected by a user further includes: when the associated data is selected, recording the second hash data and the user identification to a blockchain network.
In the search processing method based on a blockchain, optionally, constructing a user portrait according to the first hash data and the user identifier in the blockchain network further includes: constructing a mapping relation between the first hash data, the second hash data and the user identification; training according to the keywords corresponding to the first hash data and the second hash data and the user identification to obtain the operation habit of the user; and obtaining the user portrait of the user according to the operation habit.
In the search processing method based on the block chain, optionally, the obtaining of the search result by screening, by the user image, the search data obtained by the subsequent search of the user includes: analyzing and obtaining the operation habit of the user according to the user portrait; and screening search data obtained by subsequent search of the user according to the operation habits, and sequencing the search data according to the similarity to obtain a search result.
The application also provides a search processing device based on the block chain, which comprises a search module, a recording module and a screening module; the search module is used for traversing a preset database according to search keywords provided by a user to obtain one or more pieces of search data and generating first hash data according to the search data; the recording module is used for providing the search data to a user and recording first hash data and a user identifier corresponding to the search data selected by the user to a block chain network; the screening module is used for constructing a user portrait according to the first hash data and the user identification in the blockchain network, and screening search data obtained by subsequent search of a user through the user portrait to obtain a search result.
In the search processing apparatus based on the block chain, optionally, the search module further includes an association unit, and the association unit is configured to obtain one or more pieces of association data through a big data algorithm according to the search data, and generate second hash data according to the association data.
In the search processing apparatus based on the block chain, optionally, the recording module further includes: when the associated data is selected, recording the second hash data and the user identification to a blockchain network.
In the search processing apparatus based on a block chain, optionally, the filtering module further includes a representation unit, where the representation unit is configured to construct a mapping relationship between the first hash data and the second hash data and the user identifier; training according to the keywords corresponding to the first hash data and the second hash data and the user identification to obtain the operation habit of the user; and obtaining the user portrait of the user according to the operation habit.
In the search processing apparatus based on the block chain, optionally, the filtering module further includes a comparing unit, and the comparing unit is configured to analyze and obtain an operation habit of a user according to the user portrait; and screening search data obtained by subsequent search of the user according to the operation habits, and sequencing the search data according to the similarity to obtain a search result.
The application also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to realize the method.
The present application also provides a computer-readable storage medium storing a computer program for executing the above method.
The present application also provides a computer program product comprising computer programs/instructions which, when executed by a processor, implement the steps of the above-described method.
The beneficial technical effect of this application lies in: analyzing the HASH value according to the searching and clicking condition of the user, obtaining the operation behavior habit of the user, portraying the user, and screening and processing the searching result and returning the searching result to the user through the portrayal of the user when the subsequent user uses the searching function; therefore, the searching efficiency of the user is effectively improved, and the using experience of the user is greatly improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application, are incorporated in and constitute a part of this application, and are not intended to limit the application. In the drawings:
fig. 1 is a schematic flowchart of a search processing method based on a block chain according to an embodiment of the present application;
fig. 2 is a schematic diagram illustrating a flow of acquiring associated data according to an embodiment of the present application;
FIG. 3 is a schematic diagram illustrating a process for constructing a user representation according to an embodiment of the present application;
FIG. 4 is a schematic diagram illustrating a screening process using search results according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a search processing apparatus based on a block chain according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the application.
Detailed Description
It should be noted that the method and apparatus for mining customer information disclosed in the present application may be used in the field of financial technology, and may also be used in any fields other than the field of financial technology.
The following detailed description will be provided with reference to the drawings and examples to explain how to apply the technical means to solve the technical problems and to achieve the technical effects. It should be noted that, as long as there is no conflict, the embodiments and the features of the embodiments in the present application may be combined with each other, and the technical solutions formed are all within the scope of the present application.
Additionally, the steps illustrated in the flow charts of the figures may be performed in a computer system such as a set of computer-executable instructions and, although a logical order is illustrated in the flow charts, in some cases, the steps illustrated or described may be performed in an order different than here.
Referring to fig. 1, a block chain-based search processing method provided in the present application specifically includes:
s101, traversing a preset database according to search keywords provided by a user to obtain one or more pieces of search data, and generating first hash data according to the search data;
s102, providing the search data to a user, and recording first hash data and a user identifier corresponding to the search data selected by the user to a block chain network;
s103, constructing a user portrait according to the first hash data and the user identification in the blockchain network, and screening search data obtained by subsequent search of the user through the user portrait to obtain a search result.
Therefore, the method enables the user search content to be closer to the use habit of the user, so that the times of searching again by the user are reduced, and the overall search efficiency is improved; meanwhile, the search result seen by the user is matched with the user to the maximum extent, and the user experience is greatly improved.
Referring to fig. 2, in an embodiment of the present application, the traversing the preset database according to the search keyword provided by the user to obtain one or more pieces of search data further includes:
s201, obtaining one or more pieces of associated data through a big data algorithm according to the search data;
s202, second hash data are generated according to the associated data.
The related data can be subjected to association analysis based on the search data, for example, existing related search is adopted, or functions similar to guessing of the wanted function are carried out on the basis of the search data, search contents with high search frequency of other users in a preset period are counted to be the related data, and the related data are provided for the users to reference, so that the use habits of the users are further improved subsequently, and the accuracy of the user portrait is improved. Further, in another embodiment of the present application, the recording the first hash data and the user identifier corresponding to the search data selected by the user to the blockchain network may further include: when the associated data is selected, recording the second hash data and the user identification to a blockchain network. Specifically, in actual work, each result searched by the user has a corresponding HASH value, and when the user searches target information, the HASH value of the target information and the user information need to be sent to the block chain network when the user clicks the information; when the searched information is not the target information, the user clicks the associated data, such as guessing the result wanted by you, and the guess wanted HASH value is uploaded. The HASH value of the target information and the HASH value guessed to be wanted are distinguished in the blockchain network, and the blockchain network can be analyzed subsequently according to different HASH values.
Referring to fig. 3, in an embodiment of the present application, constructing a user representation according to the first hash data and the user identifier in a blockchain network further includes:
s301, constructing a mapping relation between the first hash data, the second hash data and the user identifier;
s302, obtaining the operation habit of the user according to the keywords corresponding to the first hash data and the second hash data and the user identification training;
s303, obtaining the user portrait of the user according to the operation habit.
Specifically, in actual work, each search result corresponds to one HASH value, one HASH value can correspond to a plurality of different keyword keywords, after a user searches and clicks some information, a plurality of HASH values are recorded in the block chain network and mapped with the user, the keyword keywords commonly used by the user can be inquired according to the HASH values, and the user can be portrayed according to the keyword keywords to determine the operation behavior of the user.
Referring to fig. 4, in an embodiment of the present application, the obtaining of a search result by filtering, through the user image, search data obtained by a subsequent search of a user includes:
s401, analyzing and obtaining the operation habit of the user according to the user portrait;
s402, screening the search data obtained by the user in the subsequent search according to the operation habits, and sequencing the search data according to the similarity to obtain a search result.
Specifically, in actual work, the user portrait constructed according to the HASH value can be used for subsequent result screening, and the similarity judgment can adopt the existing cosine similarity calculation mode and sort according to the calculation result. If the portrait shows that the user often uses the property fee payment function, when the follow-up user searches keywords such as fee payment, fee, property and the like, the background system obtains a search result A after the full search is completed, then the portrait of the user is used for screening and sequencing the search result A again, the property fee payment information is preferentially displayed in a result list, and a search result B can be obtained. Search result B may be a more desirable result for the user than search result a.
Referring to fig. 5, the present application further provides a search processing apparatus based on a block chain, where the apparatus includes a search module, a recording module, and a filtering module; the search module is used for traversing a preset database according to search keywords provided by a user to obtain one or more pieces of search data and generating first hash data according to the search data; the recording module is used for providing the search data to a user and recording first hash data and a user identifier corresponding to the search data selected by the user to a block chain network; the screening module is used for constructing a user portrait according to the first hash data and the user identification in the blockchain network, and screening search data obtained by subsequent search of a user through the user portrait to obtain a search result.
In the above embodiment, the search module further includes a correlation unit, and the correlation unit is configured to obtain one or more pieces of correlation data through a big data algorithm according to the search data, and generate second hash data according to the correlation data. Further, the recording module further comprises: when the associated data is selected, recording the second hash data and the user identification to a blockchain network. In another embodiment, the screening module further comprises a portrayal unit for constructing a mapping relationship between the first hash data and the second hash data and the user identifier, and a comparison unit; training according to the keywords corresponding to the first hash data and the second hash data and the user identification to obtain the operation habit of the user; and obtaining the user portrait of the user according to the operation habit. The comparison unit is used for analyzing and obtaining the operation habit of the user according to the user portrait; and screening the search data obtained by the subsequent search of the user according to the operation habits, and sequencing the search data according to the similarity to obtain a search result.
The beneficial technical effect of this application lies in: analyzing the HASH value according to the searching and clicking condition of the user, obtaining the operation behavior habit of the user, portraying the user, and screening and processing the searching result and returning the searching result to the user through the portrayal of the user when the subsequent user uses the searching function; therefore, the searching efficiency of the user is effectively improved, and the use experience of the user is greatly improved.
The user information in the embodiment of the application is obtained through legal compliance, and the user information is obtained, stored, used, processed and the like through authorization and approval of a client.
The application also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to realize the method.
The present application also provides a computer-readable storage medium storing a computer program for executing the above method.
The present application also provides a computer program product comprising computer programs/instructions which, when executed by a processor, implement the steps of the above-described method.
As shown in fig. 6, the electronic device 600 may further include: communication module 110, input unit 120, audio processing unit 130, display 160, power supply 170. It is noted that the electronic device 600 does not necessarily include all of the components shown in FIG. 6; furthermore, the electronic device 600 may also comprise components not shown in fig. 6, which may be referred to in the prior art.
As shown in fig. 6, the central processor 100, sometimes referred to as a controller or operational control, may include a microprocessor or other processor device and/or logic device, the central processor 100 receiving input and controlling the operation of the various components of the electronic device 600.
The memory 140 may be, for example, one or more of a buffer, a flash memory, a hard drive, a removable media, a volatile memory, a non-volatile memory, or other suitable device. The information relating to the failure may be stored, and a program for executing the information may be stored. And the central processing unit 100 may execute the program stored in the memory 140 to realize information storage or processing, etc.
The input unit 120 provides input to the cpu 100. The input unit 120 is, for example, a key or a touch input device. The power supply 170 is used to provide power to the electronic device 600. The display 160 is used for displaying display objects such as images and characters. The display may be, for example, an LCD display, but is not limited thereto.
The memory 140 may be a solid state memory such as Read Only Memory (ROM), random Access Memory (RAM), a SIM card, or the like. There may also be a memory that holds information even when power is off, can be selectively erased, and is provided with more data, an example of which is sometimes called an EPROM or the like. The memory 140 may also be some other type of device. Memory 140 includes buffer memory 141 (sometimes referred to as a buffer). The memory 140 may include an application/function storage section 142 for storing application programs and function programs or a flow for executing the operation of the electronic device 600 by the central processing unit 100.
The memory 140 may also include a data store 143, the data store 143 for storing data, such as contacts, digital data, pictures, sounds, and/or any other data used by the electronic device. The driver storage portion 144 of the memory 140 may include various drivers of the electronic device for a communication function and/or for performing other functions of the electronic device (e.g., a messaging application, a directory application, etc.).
The communication module 110 is a transmitter/receiver 110 that transmits and receives signals via an antenna 111. The communication module (transmitter/receiver) 110 is coupled to the central processor 100 to provide an input signal and receive an output signal, which may be the same as in the case of a conventional mobile communication terminal.
Based on different communication technologies, a plurality of communication modules 110, such as a cellular network module, a bluetooth module, and/or a wireless local area network module, etc., may be provided in the same electronic device. The communication module (transmitter/receiver) 110 is also coupled to a speaker 131 and a microphone 132 via an audio processor 130 to provide audio output via the speaker 131 and to receive audio input from the microphone 132 to implement general telecommunication functions. Audio processor 130 may include any suitable buffers, decoders, amplifiers and so forth. In addition, an audio processor 130 is also coupled to the central processor 100, so that recording on the local can be enabled through a microphone 132, and so that sound stored on the local can be played through a speaker 131.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above-mentioned embodiments are further described in detail for the purpose of illustrating the invention, and it should be understood that the above-mentioned embodiments are only illustrative of the present invention and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (13)
1. A search processing method based on a block chain, the method comprising:
traversing a preset database according to search keywords provided by a user to obtain one or more pieces of search data, and generating first hash data according to the search data;
providing the search data to a user, and recording first hash data and a user identifier corresponding to the search data selected by the user to a block chain network;
and constructing a user portrait according to the first hash data and the user identification in the blockchain network, and screening search data obtained by subsequent search of the user through the user portrait to obtain a search result.
2. The method of claim 1, wherein obtaining one or more search data items from traversing a predetermined database according to a search keyword provided by a user further comprises:
and obtaining one or more pieces of associated data through a big data algorithm according to the search data, and generating second hash data according to the associated data.
3. The method of claim 2, wherein recording the first hash data and the user identifier corresponding to the search data selected by the user to the blockchain network further comprises:
when the associated data is selected, recording the second hash data and the user identification to a blockchain network.
4. The blockchain-based search processing method of claim 3, wherein constructing a user representation from the first hash data and the user identification in a blockchain network further comprises:
constructing a mapping relation between the first hash data, the second hash data and the user identification;
training according to the keywords corresponding to the first hash data and the second hash data and the user identification to obtain the operation habit of the user;
and obtaining the user portrait of the user according to the operation habit.
5. The method for processing search based on a blockchain according to claim 1, wherein the step of filtering search data obtained by a subsequent search of a user through the user image to obtain a search result comprises:
analyzing and obtaining the operation habit of the user according to the user portrait;
and screening search data obtained by subsequent search of the user according to the operation habits, and sequencing the search data according to the similarity to obtain a search result.
6. The device is characterized by comprising a searching module, a recording module and a screening module;
the search module is used for traversing a preset database according to search keywords provided by a user to obtain one or more pieces of search data and generating first hash data according to the search data;
the recording module is used for providing the search data to a user and recording first hash data and a user identifier corresponding to the search data selected by the user to a block chain network;
the screening module is used for constructing a user portrait according to the first hash data and the user identification in the blockchain network, and screening search data obtained by subsequent search of a user through the user portrait to obtain a search result.
7. The blockchain-based search processing apparatus according to claim 6, wherein the search module further includes an association unit, the association unit is configured to obtain one or more pieces of association data through a big data algorithm according to the search data, and generate second hash data according to the association data.
8. The blockchain-based search processing apparatus of claim 7, wherein the recording module further comprises: when the associated data is selected, recording the second hash data and the user identification to a blockchain network.
9. The blockchain-based search processing apparatus of claim 8, wherein the filtering module further comprises a representation unit, the representation unit is configured to construct a mapping relationship between the first hash data and the second hash data and the user identifier; training according to the keywords corresponding to the first hash data and the second hash data and the user identification to obtain the operation habit of the user; and obtaining the user portrait of the user according to the operation habit.
10. The blockchain-based search processing apparatus of claim 6, wherein the filtering module further comprises a comparing unit, and the comparing unit is configured to obtain an operation habit of a user according to the user representation analysis; and screening search data obtained by subsequent search of the user according to the operation habits, and sequencing the search data according to the similarity to obtain a search result.
11. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any of claims 1 to 5 when executing the computer program.
12. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for executing the method of any one of claims 1 to 5 by a computer.
13. A computer program product comprising computer program/instructions, characterized in that the computer program/instructions, when executed by a processor, implement the steps of the method of any of claims 1 to 5.
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| CN202210808280.3A CN115186159A (en) | 2022-07-11 | 2022-07-11 | Search processing method and device based on block chain |
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| CN202210808280.3A CN115186159A (en) | 2022-07-11 | 2022-07-11 | Search processing method and device based on block chain |
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