CN111798251A - Verification method and device of house source data and electronic equipment - Google Patents

Verification method and device of house source data and electronic equipment Download PDF

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Publication number
CN111798251A
CN111798251A CN202010638221.7A CN202010638221A CN111798251A CN 111798251 A CN111798251 A CN 111798251A CN 202010638221 A CN202010638221 A CN 202010638221A CN 111798251 A CN111798251 A CN 111798251A
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China
Prior art keywords
source data
house source
data
child
house
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CN202010638221.7A
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Chinese (zh)
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刘光全
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Beijing Youzhuju Network Technology Co Ltd
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Beijing ByteDance Network Technology Co Ltd
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Priority to CN202010638221.7A priority Critical patent/CN111798251A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/018Certifying business or products
    • G06Q30/0185Product, service or business identity fraud
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/16Real estate

Abstract

According to the house source data verification method, the house source data verification device and the electronic equipment, after the target house source data are received, at least one piece of sub-house source data can be generated according to the target house source data, the at least one piece of sub-house source data is used for representing house source characteristics of different types, preset conditions corresponding to the house source characteristics of each type are determined, and then whether each piece of sub-house source data in the at least one piece of sub-house source data meets the corresponding preset conditions can be determined. And when each data of the at least one child house source meets the corresponding preset condition, the target house source corresponding to the data of the target house source can be represented as a real house source, and the data of the target house source can be confirmed to pass the verification. In other words, the house source corresponding to the verified house source data can be made to be the real house source, so that the user can be prevented from browsing the false house source.

Description

Verification method and device of house source data and electronic equipment
Technical Field
The present disclosure relates to the field of internet technologies, and in particular, to a method and an apparatus for verifying house source data, and an electronic device.
Background
With the development of science and technology, people can browse various information by using terminal equipment, such as: people can browse house source information by using the terminal equipment. However, since there are many house economic companies in the prior art, and each house economic company has some own house resources, it is convenient for a user to browse more and more house resources from one house resource browsing software, and the house resources of each house economic company can be integrated. However, when integrating house sources, since it is not reasonable for some house economic companies to set the prices or areas of some house sources in order to attract the eyes, false house source information received by the user may be caused when such house sources are also integrated.
Disclosure of Invention
This disclosure is provided to introduce concepts in a simplified form that are further described below in the detailed description. This disclosure is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
The embodiment of the disclosure provides a house source data verification method and device and electronic equipment, which can prevent a user from receiving unreal house source information, thereby improving the efficiency of the user in a house finding process.
In a first aspect, an embodiment of the present disclosure provides a method for verifying house source data, including: in response to receiving target room source data, generating at least one piece of room source data according to the target room source data, wherein each piece of room source data is used for representing different types of room source characteristics; determining whether the data of the child house source meets corresponding preset conditions or not aiming at each data of the child house source in the data of the at least one child house source, wherein the corresponding preset conditions are set aiming at the house source characteristic type corresponding to the data of the child house source; and in response to determining that each child house source data meets the corresponding preset condition, determining that the target house source data passes verification.
In a second aspect, an embodiment of the present disclosure provides a verification apparatus for house source data, including: the first generation unit is used for responding to received target house source data and generating at least one piece of ovary source data according to the target house source data, wherein each piece of ovary source data is used for representing house source characteristics of different types; a first determining unit, configured to determine, for each of the at least one child room source data, whether the child room source data meets a corresponding preset condition, where the corresponding preset condition is set for a room source feature type corresponding to the child room source data; and the second determining unit is used for responding to the fact that each child room source data meets the corresponding preset condition, and determining that the target room source data passes the verification.
In a third aspect, an embodiment of the present disclosure provides an electronic device, including: one or more processors; a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the method for validating premises data as described in the first aspect.
In a fourth aspect, the disclosed embodiments provide a computer readable medium, on which a computer program is stored, which when executed by a processor, implements the steps of the method for verifying house source data according to the first aspect.
According to the house source data verification method, the house source data verification device and the electronic equipment, after the target house source data are received, at least one piece of sub-house source data can be generated according to the target house source data, the at least one piece of sub-house source data is used for representing house source characteristics of different types, preset conditions corresponding to the house source characteristics of each type are determined, and then whether each piece of sub-house source data in the at least one piece of sub-house source data meets the corresponding preset conditions can be determined. And when each data of the at least one child house source meets the corresponding preset condition, the target house source corresponding to the data of the target house source can be represented as a real house source, and the data of the target house source can be confirmed to pass the verification. In other words, the house source corresponding to the verified house source data can be made to be the real house source, so that the user can be prevented from browsing the false house source.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and features are not necessarily drawn to scale.
FIG. 1 is a flow diagram of one embodiment of a method of validating house source data in accordance with the present disclosure;
FIG. 2 is a flow diagram of another embodiment of a method of validating house source data according to the present disclosure;
FIG. 3 is a schematic block diagram of one embodiment of a verification device for house source data according to the present disclosure;
FIG. 4 is an exemplary system architecture to which the method of validating house source data of one embodiment of the present disclosure may be applied;
fig. 5 is a schematic diagram of a basic structure of an electronic device provided according to an embodiment of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order, and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.
The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
Referring to fig. 1, a flow diagram of one embodiment of a method of validating house source data according to the present disclosure is shown. The method for verifying the house source data can be applied to a server. The method for verifying the house source data as shown in fig. 1 comprises the following steps:
step 101, in response to receiving the target room source data, generating at least one child room source data according to the target room source data.
Here, the individual child provenance data is used to characterize different types of provenance features.
In some embodiments, the house source corresponds to the house source data, that is, one house source corresponds to one house source data, and the target house source data can be understood as the data corresponding to the target house source.
In some embodiments, from the target house source data, it may be known that: the house source characteristics of the target house source in all aspects (the area, the geographic position, the price and the like of the house source); accordingly, each child source data can be understood as: for recording characteristics of the target source in one aspect.
For example: the target house source data can comprise: the data of the child house source used for representing the geographic position of the target house source, the data of the child house source used for representing the area of the target house source, the data of the child house source used for representing the price of the target house source and the like.
That is, the at least one child room source data generated from the target room source data can determine the room source characteristics of the target room source from multiple aspects.
Step 102, determining whether each child room source data in at least one child room source data meets a corresponding preset condition.
Here, the corresponding preset condition is set for the house source feature type corresponding to the child house source data.
In some embodiments, the house source data characterizes the house source in one aspect as individual child house source data. The house source characteristics of the target house source in each aspect should have certain characteristics, and if the house source characteristics of the target house source in each aspect all meet the characteristics, it can be determined that the target house source is a real house source (that is, it can be understood that the house source characteristics of the target house source in each aspect should meet some preset conditions if the target house source is a real house source). If the child house source data used for representing the price of the target house source indicate that the price of the target house source is too low (within a preset price interval); at this time, it may be characterized that the target house source is a false house source to which a certain house economic company submits for the user's attention.
In some embodiments, to ensure that the target house source is not a false house source, a corresponding preset condition may be set for each child house source data. If it is determined that the data of the child house source for representing the house source area of the target house source does not meet the corresponding preset condition, it can be represented that the target house source may not be a real house source.
In some embodiments, the corresponding preset condition may be preset, for example: the method includes the steps that a house source set with a geographic position located in a certain area can be obtained first when the house sources in the certain area need to be integrated, the house sources in the house source set may be recently committed or not committed, and then corresponding preset conditions are determined according to house source data corresponding to each house source in the house source set. For example, the following steps are carried out: if there are 100 house sources in the house source set, the average price of the 100 house sources, the area of the house sources, the house type of the house sources, etc. can be determined from the house source data corresponding to the 100 house sources. So that the corresponding preset conditions of price, area, house type, etc. can be set. Certainly, the number of the house source pictures and the pixel values of the house source pictures can be set, so that the user can know the house source clearly through the house source pictures. Of course, in the specific embodiment, there are many preset conditions, and the preset conditions specifically required to be set for the house source characteristics of the target house source may be set according to actual situations, and the preset conditions are not limited to those specifically set herein.
In some embodiments, the corresponding preset conditions for the house source price may be updated in real time, since the price of the house source may fluctuate to some extent over time. For example: the mean rate of the house resources in a certain area can be determined according to the house resources in the certain area received within a recent period of time (for example, 1 month, half month, one week, etc.), so that whether the target house resource is a real house resource can be determined according to the mean rate of the house resources (for example, if the data of the child house resources used for representing the house resource price of the target house resource indicates that the price of the target house resource is far lower than the determined mean rate of the house resource, it may be represented that the target house resource is a false house resource).
Step 103, in response to determining that each child house source data meets the corresponding preset condition, determining that the target house source data passes the verification.
In some embodiments, when each child room source data meets the corresponding preset condition, it may be characterized that the target room source is a real room source, that is, it may be determined that the target room source data passes the verification. In other words, the target house source data can be indicated to be in conformity with the integration condition.
In the prior art, after the house source data submitted by each house economic company is received, the house source data are directly integrated. However, some false house source data (which may not correspond to an actual house source and is only fictitious house source data constructed by the house economic company for improving self-declaration power) may be integrated; this may cause the user to receive the wrong information from the false house source data, which may affect the browsing experience of the user.
In the embodiment of the disclosure, after the target room source data is received, at least one piece of sub-room source data is generated for the target room source data, and the at least one piece of sub-room source data is used for representing different types of room source characteristics, and determining a preset condition corresponding to each type of room source characteristics, and then, determining whether each piece of sub-room source data in the at least one piece of sub-room source data meets the corresponding preset condition. And when each data of the at least one child house source meets the corresponding preset condition, the target house source corresponding to the data of the target house source can be represented as a real house source, and the data of the target house source can be confirmed to pass the verification. In other words, the house source corresponding to the verified house source data can be made to be the real house source, so that the user can be prevented from browsing the false house source.
In some embodiments, the corresponding preset condition of each of the at least one house source can be determined through steps 201-203.
Step 201, determining a house source characteristic type corresponding to the data of the child house source.
In step 202, a historical data set of the ovary source corresponding to the characteristic type of the house source in a preset time period may be obtained.
Step 203, according to the historical house source data set, determining a preset condition corresponding to the child house source data.
Here, the historical data set of the child house source can be understood as the data of the child house source received by the service platform in a period of time for the type of the house source feature. That is, it can be understood that: the ovary source data in the historical ovary source data set characterize the same type of room source feature. Such as: the area of the house source, the unit price of the house source, the geographical position of the house source and the like are represented.
For example, when the type of the house source feature corresponding to the sub-house source set is determined to be the house source price, a historical sub-house source data set corresponding to the house source price may be obtained (where the set includes the house source prices of a plurality of house sources within a period of time). Such as: the data in the historical house source data set indicates that: in a period of time, the highest price of the house resources is 1000 ten thousand, and the lowest price of the house resources is 200 ten thousand. It can be shown that: the house source price should be between 200 and 1000 ten thousand (then can be regarded as a preset condition); if the price of the house source represented by certain child house source data of the target house source is lower than 200 ten thousand, the target house source can be indicated to be a false house source.
That is, in some embodiments, the target room source data is determined not to be validated in response to determining that the presence of the child room source data does not satisfy the respective preset condition.
In some embodiments, when there is a case where the child house source data does not satisfy the corresponding preset condition, a certain type of house source feature that can characterize the target house source does not meet the specification.
For example: the area of the target house source is too large, the price of the target house source is too low, the picture pixel of the target house source is low, and the like; therefore, the data of the child house source corresponding to the target house source and used for representing the area may not meet the corresponding preset condition, and thus the data of the child house source corresponding to the target house source and used for representing the price may not meet the corresponding preset condition, and thus the data of the child house source corresponding to the target house source and used for representing the picture may not meet the corresponding preset condition. At this time, it can be indicated that the target room source is a false room source or an irregular room source (for example, the introduction information of the room source is too little, and the picture quality of the room source is too poor); the presence of these sources may affect the browsing experience of the user.
Therefore, in order to enable a user to have better browsing experience, when the child house source data do not meet the corresponding preset conditions, the target house source data can be represented to fail to pass the verification. In other words, the target house source data is not integrated.
In some embodiments, after determining that the target house source data is not validated, a failed set may also be determined; here, the failing set includes: and the data of the ovary source which do not meet the corresponding preset conditions. Then, generating prompt information according to the failed set, wherein the prompt information is used for indicating the house source characteristic type represented by the child house source data in the failed set; and the prompt information and the target room source data can be returned to the sending end of the target room source data.
In some embodiments, a failed set may be determined from at least one of the child room source data, and all child room source data in the failed set are child room source data which do not satisfy the corresponding preset condition. That is, by analyzing the child house source data in the failed set, it is known that the house source characteristics of the types of the target house source do not satisfy the preset condition. Therefore, the prompt information can be generated according to the data of the ovary source which do not meet the corresponding preset conditions. For example: the child source data in the failed set includes: the system comprises child house source data used for representing house source prices, child house source data used for representing house source geographic positions and child house source data used for representing house source pictures; the prompt message may be: the price of the target house source is not standard, the geographic position of the target house source is not accurate, and the picture of the target house source is fuzzy. After the sending end of the target house source data (which may be a service platform of a certain house economy company) obtains the prompt information, the staff of the house economy company can know that the house source characteristics of the target house source do not meet the preset conditions, so that the target house source data of the target house source can be adjusted.
In some embodiments, before determining whether the data of the child sources meet the corresponding preset conditions, it may be further determined whether the number of at least one child source determined from the data of the target source reaches a preset threshold. If the preset threshold value is not reached, it may be that the target room source data cannot represent the room source characteristics of the target room source in various aspects.
In some embodiments, the value of the preset threshold may be set according to practical situations, and is not limited herein. For example: the preset threshold value can be set according to the house source characteristic quantity that the user usually wants to know about the house source. Such as: if the user knows from the survey, the user usually pays attention to the area, price, house type, layout (layout can be seen from house source pictures), geographical location (belonging area, cell, etc.), and floor location of the house source when knowing about the house source. The preset threshold value may be set to 6, and when the number of the child house source data is less than 6, the target house source data may not be well introduced into the house source, that is, when the user browses the target house source data, various features of the target house source may not be clear, so that the judgment of the user on the target house source may be influenced, and the browsing experience of the user may also be influenced.
For example, the following steps are carried out: the number of at least one piece of ovary source data generated through the target house source data is 4, and the at least one piece of ovary source data are respectively the ovary source data used for representing the house source price, the ovary source data used for representing the house source area, the ovary source data used for representing the house source picture and the ovary source data used for representing the house source floor. When the user browses the target child house source data, the user may browse the house type of the target house source and the floor of the target house source, so that the browsing experience of the user is affected.
That is, by setting a preset threshold, the efficiency of integrating the house source data can be accelerated.
With further reference to fig. 3, as an implementation of the methods shown in the above-mentioned figures, the present disclosure provides an embodiment of a verification apparatus for house source data, which corresponds to the embodiment of the verification method for house source data shown in fig. 1, and which can be applied to various electronic devices.
As shown in fig. 3, the verification apparatus for house source data of the present embodiment includes: a first generating unit 301, configured to generate, in response to receiving target room source data, at least one child room source data according to the target room source data, where each child room source data is used to characterize different types of room source features; a first determining unit 302, configured to determine, for each of the at least one child room source data, whether the child room source data meets a corresponding preset condition, where the corresponding preset condition is set for a room source feature type corresponding to the child room source data; a second determining unit 303, configured to determine that the target room source data passes the verification in response to determining that each child room source data satisfies a corresponding preset condition.
In some embodiments, the apparatus further comprises: a third determining unit 304, configured to determine that the target room source data does not pass the verification in response to determining that the child room source data does not satisfy the corresponding preset condition.
In some embodiments, after determining that the target house source data does not pass verification, the method further comprises: a fourth determining unit 305, configured to determine a failed set, where the failed set includes: the data of the ovary source which do not meet corresponding preset conditions; a second generating unit 306, configured to generate prompt information according to the failed set, where the prompt information is used to indicate a house source feature type represented by the child house source data in the failed set; a sending unit 307, configured to return the prompt information and the target room source data to a sending end of the target room source data.
In some embodiments, the preset condition corresponding to each of the at least one child source data is determined by: determining a house source characteristic type corresponding to the data of the child house source; acquiring a historical ovary source data set corresponding to the house source characteristic type in a preset time period; and determining the corresponding preset conditions of the child house source data according to the historical house source data set.
In some embodiments, before determining, for each of the at least one child room source data, whether the child room source data satisfies a corresponding preset condition, the apparatus further includes:
a fifth determining unit 308, specifically configured to determine whether the number of the at least one child room source data is greater than or equal to a preset threshold; in response to determining that the number of the at least one child room source data is greater than or equal to a preset threshold, performing the determining, for each child room source data of the at least one child room source data, whether the child room source data meets a corresponding preset condition; in response to determining that the number of the at least one child house source data is less than a preset threshold, determining that the target house source data is not verified.
Referring to fig. 4, fig. 4 illustrates an exemplary system architecture to which the verification method of house source data of one embodiment of the present disclosure may be applied.
As shown in fig. 4, the system architecture may include terminal devices 401, 402, 403, a network 405, and a server 405. The network 404 may be the medium used to provide communication links between the terminal devices 401, 402, 403 and the server 405. Network 404 may include various types of connections, such as wire, wireless communication links, or fiber optic cables, to name a few.
The terminal devices 401, 402, 403 may interact with a server 405 over a network 404 to receive or send messages or the like. The terminal devices 401, 402, 403 may have various client applications installed thereon, such as a web browser application, a search-type application, and a news-information-type application. The client application in the terminal device 401, 402, 403 may receive the instruction of the user, and complete the corresponding function according to the instruction of the user, for example, add the corresponding information to the information according to the instruction of the user.
The terminal devices 401, 402, and 403 may be hardware or software. When the terminal devices 401, 402, and 403 are hardware, they may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, e-book readers, MP3 players (Moving Picture Experts Group Audio Layer III, mpeg compression standard Audio Layer 3), MP4 players (Moving Picture Experts Group Audio Layer IV, mpeg compression standard Audio Layer 4), laptop portable computers, desktop computers, and the like. When the terminal devices 401, 402, and 403 are software, they can be installed in the electronic devices listed above. It may be implemented as multiple pieces of software or software modules (e.g., software or software modules used to provide distributed services) or as a single piece of software or software module. And is not particularly limited herein.
The server 405 may be a server providing various services, for example, receive an information acquisition request sent by the terminal devices 401, 402, and 403, and acquire, according to the information acquisition request, presentation information corresponding to the information acquisition request in various manners. And the relevant data of the presentation information is sent to the terminal devices 401, 402, 403.
It should be noted that the information processing method provided by the embodiment of the present disclosure may be executed by a terminal device, and accordingly, a verification device of the house source data may be provided in the terminal devices 401, 402, and 403. Furthermore, the information processing method provided by the embodiment of the present disclosure may also be executed by the server 405, and accordingly, an information processing apparatus may be provided in the server 405.
It should be understood that the number of terminal devices, networks, and servers in fig. 4 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to fig. 5, shown is a schematic diagram of an electronic device (e.g., a terminal device or a server of fig. 4) suitable for use in implementing embodiments of the present disclosure. The terminal device in the embodiments of the present disclosure may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a vehicle terminal (e.g., a car navigation terminal), and the like, and a stationary terminal such as a digital TV, a desktop computer, and the like. The electronic device shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 5, the electronic device may include a processing means (e.g., central processing unit, graphics processor, etc.) 501 that may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage means 508 into a Random Access Memory (RAM) 503. In the RAM503, various programs and data necessary for the operation of the electronic apparatus 500 are also stored. The processing device 501, the ROM502, and the RAM503 are connected to each other through a bus 504. An input/output (I/O) interface 504 is also connected to bus 504.
Generally, the following devices may be connected to the I/O interface 504: input devices 506 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 507 including, for example, a Liquid Crystal Display (LCD), speakers, vibrators, and the like; storage devices 508 including, for example, magnetic tape, hard disk, etc.; and a communication device 509. The communication means 509 may allow the electronic device to communicate with other devices wirelessly or by wire to exchange data. While fig. 5 illustrates an electronic device having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program carried on a non-transitory computer readable medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 509, or installed from the storage means 508, or installed from the ROM 502. The computer program performs the above-described functions defined in the methods of the embodiments of the present disclosure when executed by the processing device 501.
It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer 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 of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, 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. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either 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 computer readable signal medium may also be any computer readable medium that is not a computer 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 computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (HyperText transfer protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: in response to receiving target room source data, generating at least one piece of room source data according to the target room source data, wherein each piece of room source data is used for representing different types of room source characteristics; determining whether the data of the child house source meets corresponding preset conditions or not aiming at each data of the child house source in the data of the at least one child house source, wherein the corresponding preset conditions are set aiming at the house source characteristic type corresponding to the data of the child house source; and in response to determining that each child house source data meets the corresponding preset condition, determining that the target house source data passes verification.
Computer program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including but not limited to an object oriented programming language such as Java, Smalltalk, C + +, 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 computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present disclosure may be implemented by software or hardware. Where the name of a unit does not in some cases constitute a definition of the unit itself, for example, the first generation unit 301 may also be described as a "unit that generates at least one child room source data".
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, 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 foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other embodiments in which any combination of the features described above or their equivalents does not depart from the spirit of the disclosure. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.
Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.

Claims (10)

1. A method for verifying house source data is characterized by comprising the following steps:
in response to receiving target room source data, generating at least one piece of room source data according to the target room source data, wherein each piece of room source data is used for representing different types of room source characteristics;
determining whether the data of the child house source meets corresponding preset conditions or not aiming at each data of the child house source in the data of the at least one child house source, wherein the corresponding preset conditions are set aiming at the house source characteristic type corresponding to the data of the child house source;
and in response to determining that each child house source data meets the corresponding preset condition, determining that the target house source data passes verification.
2. The method of claim 1, further comprising:
and in response to determining that the child house source data does not meet the corresponding preset conditions, determining that the target house source data does not pass the verification.
3. The method of claim 2, wherein after determining that the target premises data is not validated, the method further comprises:
determining a failed set, wherein the failed set comprises: the data of the ovary source which do not meet corresponding preset conditions;
generating prompt information according to the failed set, wherein the prompt information is used for indicating the house source feature type represented by the child house source data in the failed set;
and returning the prompt information and the target room source data to the sending end of the target room source data.
4. The method according to claim 1, wherein the preset condition corresponding to each of the at least one child source data is determined by:
determining a house source characteristic type corresponding to the data of the child house source;
acquiring a historical ovary source data set corresponding to the house source characteristic type in a preset time period;
and determining the corresponding preset conditions of the child house source data according to the historical house source data set.
5. The method according to claim 1, wherein before determining, for each of the at least one child room source data, whether the child room source data satisfies a corresponding preset condition, the method further comprises:
determining whether the amount of the at least one child room source data is greater than or equal to a preset threshold;
in response to determining that the number of the at least one child room source data is greater than or equal to a preset threshold, performing the determining, for each child room source data of the at least one child room source data, whether the child room source data meets a corresponding preset condition;
in response to determining that the number of the at least one child house source data is less than a preset threshold, determining that the target house source data is not verified.
6. A device for verifying house source data, comprising:
the first generation unit is used for responding to received target house source data and generating at least one piece of ovary source data according to the target house source data, wherein each piece of ovary source data is used for representing house source characteristics of different types;
a first determining unit, configured to determine, for each of the at least one child room source data, whether the child room source data meets a corresponding preset condition, where the corresponding preset condition is set for a room source feature type corresponding to the child room source data;
and the second determining unit is used for responding to the fact that each child room source data meets the corresponding preset condition, and determining that the target room source data passes the verification.
7. The apparatus of claim 1, further comprising:
and the third determining unit is used for responding to the fact that the child house source data do not meet the corresponding preset conditions, and determining that the target house source data do not pass the verification.
8. The apparatus of claim 2, wherein after determining that the target premises data is not validated, the method further comprises:
a fourth determining unit, configured to determine a failed set, where the failed set includes: the data of the ovary source which do not meet corresponding preset conditions;
a second generating unit, configured to generate prompt information according to the failed set, where the prompt information is used to indicate a house source feature type represented by the child house source data in the failed set;
and the sending unit is used for returning the prompt information and the target room source data to the sending end of the target room source data.
9. An electronic device, comprising:
one or more processors;
a storage device 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 1-5.
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 1-5.
CN202010638221.7A 2020-07-03 2020-07-03 Verification method and device of house source data and electronic equipment Pending CN111798251A (en)

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