CN109933704A - Vehicle consultation information processing method and processing device - Google Patents
Vehicle consultation information processing method and processing device Download PDFInfo
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Abstract
The present embodiments relate to technical field of information processing, specifically, it is related to a kind of vehicle consultation information processing method and processing device, this method can obtain vehicle consultation information from social platform and the classification based on vehicle consultation information identifies vehicle information provision and vehicle demand information, the vehicle information provision and vehicle demand information for being then based on the highway network data prestored and matching each other generate trading scheme and are sent to the first client and the second client, so, it is sold compared to traditional ground push type, this method can excavate vehicle information provision and vehicle from the daily information of social platform, potential Transaction apparatus meeting can be quickly captured under internet overall situation.
Description
Technical field
The present embodiments relate to technical field of information processing, in particular to a kind of vehicle consultation information processing side
Method and device.
Background technique
With the development of society, automobile has become essential a part in for people's lives, vehicle transaction is also increasingly
It is active, but traditional vehicle transaction mode is difficult to quickly capture potential Transaction apparatus meeting under internet overall situation.
Summary of the invention
In view of this, the present invention provides a kind of vehicle consultation information processing method and processing devices.
The embodiment of the invention provides a kind of vehicle consultation information processing methods, are applied to server-side, comprising:
Vehicle consultation information is obtained from social platform；
Vehicle information provision and vehicle demand information are identified according to the classification of the vehicle consultation information；
Judge whether the vehicle information provision and the vehicle demand information match, if matching, is supplied based on the vehicle
Information, the vehicle demand information and the highway network data prestored are answered to generate trading scheme；
The trading scheme is respectively sent to corresponding first client of the vehicle demand information and the vehicle
Corresponding second client of information provision.
Optionally, the step of vehicle information provision and vehicle demand information is identified according to the classification of the vehicle consultation information
Suddenly, comprising:
If the vehicle consultation information is text information, word segmentation processing is carried out to obtain multiple points to the text information
Word counts the word frequency and part of speech of each participle；
The multiple word frequency and multiple parts of speech that are obtained based on statistics extract the text feature of the text information；
Text feature input is built into the convolutional neural networks of Natural Language Processing Models to identify the vehicle
Information provision and the vehicle demand information.
Optionally, the step of whether the vehicle information provision and the vehicle demand information match judged, comprising:
It extracts the first vehicle parameter information for including in the vehicle information provision and is wrapped in the vehicle demand information
The second vehicle parameter information included；
Judge whether first vehicle parameter information and second vehicle parameter information are identical, if first vehicle
Parameter information is identical with second vehicle parameter information, determines the vehicle information provision and the vehicle demand information
Match.
Optionally, it is generated based on the vehicle information provision, the vehicle demand information and the highway network data prestored
The step of trading scheme, comprising:
It extracts the first geographical location information for including in the vehicle information provision and is wrapped in the vehicle demand information
The second geographical location information included；
Based on first geographical location information, second geographical location information and the highway network data prestored
Generate transportation cost information；
It extracts the pricing information for including in the vehicle information provision and include in the vehicle demand information bids
Information；
Generate the first trading scheme based on the pricing information and the transportation cost information, based on the bid information and
The transportation cost information generates the second trading scheme.
Optionally, the trading scheme is respectively sent to corresponding first client of the vehicle demand information and institute
The step of stating vehicle information provision corresponding second client, comprising:
First trading scheme is sent to second client；Second trading scheme is sent to described
One client.
Optionally, the method also includes:
The corresponding public sentiment of first vehicle parameter information is identified from the text information using setting segmentation methods
The public feelings information and first trading scheme are packaged and are sent to second client by information.
Optionally, the step of vehicle information provision and vehicle demand information is identified according to the classification of the vehicle consultation information
Suddenly, comprising:
If the vehicle consultation information is pictorial information, identified in the pictorial information using optical character recognition method
There are at least one first pictorial information of price character and in the presence of at least one the second picture information for character of bidding；
It, will at least one described second picture by least one described first pictorial information as the vehicle information provision
Information is as the vehicle demand information.
Optionally, the step of whether the vehicle information provision and the vehicle demand information match judged, comprising:
First Hamming distance of at least one first pictorial information and described is calculated using perceptual hash algorithm
Second Hamming distance of at least one second picture information；It is calculated according to first Hamming distance and second Hamming distance
Similarity value between at least one described first pictorial information and at least one described second picture information out；
Judge whether the similarity value is lower than setting value, if the similarity value is lower than the setting value, described in judgement
Vehicle information provision and vehicle demand information matching.
Optionally, it is generated based on the vehicle information provision, the vehicle demand information and the highway network data prestored
The step of trading scheme, comprising:
The third vehicle for including at least one described first pictorial information is identified using the optical character recognition method
The 4th vehicle parameter letter for including in parameter information, third geographical location information and at least one described second picture information
Breath, the 4th geographical location information；
Based on the third geographical location information, the 4th geographical location information and the highway network data prestored
Generate transportation cost information；
Based on the price character, the transportation cost information, the third vehicle parameter information and the 4th vehicle
Parameter information generates the first trading scheme；
Based on the character of bidding, the transportation cost information, the third vehicle parameter information and the 4th vehicle
Parameter information generates the second trading scheme.
The embodiment of the invention also provides a kind of vehicle consultation information processing units, are applied to server-side, described device packet
It includes:
Data obtaining module, for obtaining vehicle consultation information from social platform；
Supply and demand information identification module, for identifying vehicle information provision and vehicle according to the classification of the vehicle consultation information
Demand information；
Trading scheme generation module, for judging whether the vehicle information provision and the vehicle demand information match,
If matching, trading scheme is generated based on the vehicle information provision, the vehicle demand information and the highway network data prestored；
Trading scheme sending module, for the trading scheme to be respectively sent to the vehicle demand information corresponding
One client and corresponding second client of the vehicle information provision.
The embodiment of the invention also provides a kind of server-side, including memory, processor and storage are on a memory simultaneously
The computer program that can be run on a processor, the processor realize above-mentioned vehicle consulting when executing the computer program
Information processing method.
The embodiment of the invention also provides a kind of computer readable storage medium, the readable storage medium storing program for executing includes computer
Program, the server-side computer program controls the readable storage medium storing program for executing when running where execute above-mentioned vehicle consultation information
Processing method.
Beneficial effect
Vehicle consultation information processing method and processing device provided in an embodiment of the present invention can obtain vehicle from social platform and consult
It askes information and the classification based on vehicle consultation information and identifies vehicle information provision and vehicle demand information, be then based on and prestore
Highway network data and the vehicle information provision to match each other and vehicle demand information generate trading scheme and are sent to first
Client and the second client, in this way, selling compared to traditional ground push type, this method can be from the daily information of social platform
In excavate vehicle information provision and vehicle demand information, potential Transaction apparatus can be quickly captured under internet overall situation
Meeting.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 is a kind of block diagram of server-side provided by the embodiment of the present invention.
Fig. 2 is a kind of flow chart of vehicle consultation information processing method provided by the embodiment of the present invention.
Fig. 3 is a kind of flow diagram of specific implementation of step S22 shown in Fig. 2 in an embodiment.
Fig. 4 is the flow diagram of another specific implementation of step S22 shown in Fig. 2 in an embodiment.
Fig. 5 is a kind of flow diagram of specific implementation of step S23 shown in Fig. 2 in an embodiment.
Fig. 6 is the flow diagram of another specific implementation of step S23 shown in Fig. 2 in an embodiment.
Fig. 7 is a kind of module frame chart of vehicle consultation information processing unit provided by the embodiment of the present invention.
Icon:
10- server-side；11- memory；12- processor；13- network module；
20- vehicle consultation information processing unit；21- data obtaining module；22- supply and demand information identification module；23- counterparty
Case generation module；24- trading scheme sending module.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment only
It is a part of the embodiments of the present invention, instead of all the embodiments.The present invention being usually described and illustrated herein in the accompanying drawings
The component of embodiment can be arranged and be designed with a variety of different configurations.
Therefore, the detailed description of the embodiment of the present invention provided in the accompanying drawings is not intended to limit below claimed
The scope of the present invention, but be merely representative of selected embodiment of the invention.Based on the embodiments of the present invention, this field is common
Technical staff's every other embodiment obtained without creative efforts belongs to the model that the present invention protects
It encloses.
It should also be noted that similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined in a attached drawing, does not then need that it is further defined and explained in subsequent attached drawing.
Inventor further investigation reveals that, traditional vehicle transaction mode be mostly pushed away by ground, the web advertisement promote etc. modes
It realizes, on the one hand increases popularization cost, it is difficult to accurately catch target customer, on the other hand be difficult under internet overall situation fast
Speed captures potential Transaction apparatus meeting.
Defect present in the above scheme in the prior art, is that inventor is obtaining after practicing and carefully studying
As a result, therefore, the solution that the discovery procedure of the above problem and the hereinafter embodiment of the present invention are proposed regarding to the issue above
Scheme all should be the contribution that inventor makes the present invention in process of the present invention.
Based on the studies above, the embodiment of the invention provides a kind of vehicle consultation information processing method and processing device, Neng Gou
Potential Transaction apparatus meeting is quickly captured under internet overall situation.
Fig. 1 shows a kind of block diagram of server-side 10 provided by the embodiment of the present invention.In the embodiment of the present invention
Server-side 10 have data storage, transmission, processing function, as shown in Figure 1, server-side 10 includes: memory 11, processor
12, network module 13 and vehicle consultation information processing unit 20.
It is directly or indirectly electrically connected between memory 11, processor 12 and network module 13, to realize the biography of data
Defeated or interaction.It is electrically connected for example, these elements can be realized from each other by one or more communication bus or signal wire.
Vehicle consultation information processing unit 20 is stored in memory 11, the vehicle consultation information processing unit 20 includes at least one
The software function module that can be stored in the form of software or firmware (firmware) in the memory 11, the processor 12
By running at the vehicle consultation information in the software program and module, such as the embodiment of the present invention that are stored in memory 11
Device 20 is managed, thereby executing various function application and data processing, i.e. vehicle consultation information in the realization embodiment of the present invention
Processing method.
Wherein, the memory 11 may be, but not limited to, random access memory (Random Access Memory,
RAM), read-only memory (Read Only Memory, ROM), programmable read only memory (Programmable Read-Only
Memory, PROM), erasable read-only memory (Erasable Programmable Read-Only Memory, EPROM),
Electricallyerasable ROM (EEROM) (Electric Erasable Programmable Read-Only Memory, EEPROM) etc..
Wherein, memory 11 is for storing program, and the processor 12 executes described program after receiving and executing instruction.
The processor 12 may be a kind of IC chip, the processing capacity with data.Above-mentioned processor 12
It can be general processor, including central processing unit (Central Processing Unit, CPU), network processing unit
(Network Processor, NP) etc..It may be implemented or execute each method, step disclosed in the embodiment of the present invention and patrol
Collect block diagram.General processor can be microprocessor or the processor is also possible to any conventional processor etc..
Network module 13 is used to establish the communication connection between server-side 10 and other communication terminal devices by network, real
The transmitting-receiving operation of existing network signal and data.Above-mentioned network signal may include wireless signal or wire signal.
It is appreciated that structure shown in FIG. 1 is only to illustrate, server-side 10 may also include than shown in Fig. 1 more or more
Few component, or with the configuration different from shown in Fig. 1.Each component shown in Fig. 1 can use hardware, software or its group
It closes and realizes.
The embodiment of the present invention also provides a kind of computer readable storage medium, and the readable storage medium storing program for executing includes computer journey
Sequence.Server-side 10 computer program controls the readable storage medium storing program for executing when running where executes following vehicle consultation information
Processing method.
Fig. 2 shows a kind of flow charts of vehicle consultation information processing method provided by the embodiment of the present invention.The side
Method and step defined in the related process of method is applied to server-side 10, can be realized by the processor 12.It below will be to Fig. 2
Shown in detailed process be described in detail:
Step S21 obtains vehicle consultation information from social platform.
In the present embodiment, server-side 10 can obtain a large amount of vehicle consultation information from social platform, wherein social activity is flat
Platform include but is not limited to curry favour with vehicle APP, wechat platform (wechat group chat, wechat public platform message and put question to), know special column and
Family special column of automobile etc..
It is appreciated that the present embodiment is that vehicle consultation information obtains compared to the distinctive points of traditional vehicle transaction mode
The diversification in source, it will be understood that above-mentioned acquisition source covers most of network social intercourse resource, by taking the vehicle APP that curries favour with as an example, from
The vehicle APP that curries favour with obtains vehicle consultation information can excavate the demand of client at the first time, in another example, with wechat platform and know
For special column, potential Transaction apparatus meeting (business opportunity) can be excavated by the daily exchange of client and chat message.
Step S22 identifies vehicle information provision and vehicle demand information according to the classification of vehicle consultation information.
It is appreciated that server-side 10 after obtaining a large amount of vehicle consultation information, can carry out vehicle consultation information
Processing, to identify vehicle information provision and vehicle demand information.
It mainly include text information, pictorial information and voice letter by a large amount of vehicle consultation informations that social platform is got
Three kinds of classifications are ceased, for different classifications, the processing method that server-side 10 is taken is also different.
If a large amount of vehicle consultation information is text information, please refer to Fig. 3, in the present embodiment by step S221,
Step S222 and step S223 lists one of implementation of step S22.
Step S221 carries out word segmentation processing to text information to obtain multiple participles, counts the word frequency and part of speech of each participle.
In the text information got, including the short text information based on session, message, comment and news in brief etc.,
Including the long text information based on news and article etc., in the present embodiment, using python jieba participle processing method pair
Text information carries out cutting, wherein the dictionaries such as stop words, near synonym and strong rule are all based on whole in automobile field of circulation industry
Made of reason, cutting can be carried out to obtain multiple participles to text information in conjunction with these dictionaries, further, statistics is each to divide
The word frequency and part of speech of word identify in order to subsequent feature.
Step S222, the multiple word frequency and multiple parts of speech that are obtained based on statistics extract the text feature of text information.
Further, TF-IDF model (term frequency-inverse document is used based on word frequency and part of speech
Frequency the text feature of text information) is extracted, wherein TF-IDF model is a kind of for information retrieval and data mining
Common weighting technique and a kind of statistical method, to assess a participle in a file set or a corpus
The significance level of a copy of it file.The importance of participle is with the directly proportional increase of number that it occurs hereof, but simultaneously
Can be inversely proportional decline with the frequency that it occurs in corpus.The various forms of TF-IDF model is often searched engine application,
Measurement or grading as degree of correlation between file and user query.
Text feature input is built the convolutional neural networks of Natural Language Processing Models to identify by step S223
State vehicle information provision and the vehicle demand information.
In the present embodiment, automobile field of circulation internet and relevant transaction, logistics, storage and finance can be based on
Deng Natural Language Processing Models are built in advance in convolutional neural networks, then by text feature input the convolutional neural networks with
Identify vehicle information provision and vehicle demand information.
If a large amount of vehicle consultation information is pictorial information, please refer to Fig. 4, in the present embodiment by step S224 and
Step S225 lists another implementation of step S22.
Step S224 identifies that there are at least the one of price character in the pictorial information using optical character recognition method
A first pictorial information and at least one the second picture information that there is character of bidding.
For example, being P there are the first pictorial information of price character1, the second picture information that there is character of bidding is P2,
In, price character and bid character can by optical character recognition method (Optical Character Recognition,
OCR) identification obtains.
Step S225 believes at least one second picture using at least one first pictorial information as vehicle information provision
Breath is used as vehicle demand information.
In the present embodiment, by P1As the vehicle information provision of pictorial information form, by P2As pictorial information form
Vehicle demand information.
It is appreciated that since voice messaging can be converted to text information, the processing of voice messaging is no longer carried out
Explanation.
Step S23, judges whether vehicle information provision and vehicle demand information match.
If vehicle information provision and the matching of vehicle demand information, turn to step S24, otherwise do not execute any operation.
In the present embodiment, the judgement based on text information and based on pictorial information is different.
If vehicle information provision and vehicle demand information are text information, Fig. 5 is please referred to, passes through step in the present embodiment
Rapid S231, step S232, step S233 and step S234 list one of implementation of step S23:
Step S231 is extracted and is wrapped in the first vehicle parameter information and vehicle demand information for including in vehicle information provision
The second vehicle parameter information included.
In the present embodiment, the vehicle information provision of text information form is Tsupply, the first vehicle parameter information is CP1,
The vehicle demand information of textual form is Tdemand, the second vehicle parameter information is CP2。
Step S232 judges whether the first vehicle parameter information and the second vehicle parameter information are identical.
If CP1With CP2It is identical, step S233 is turned to, step S234 is otherwise turned to.
In the present embodiment, vehicle parameter information includes but is not limited to brand, vehicle system, vehicle and color etc..
Step S233 determines vehicle information provision and the matching of vehicle demand information.
Step S234 determines that vehicle information provision and vehicle demand information mismatch.
If vehicle information provision and vehicle demand information are pictorial information, Fig. 6 is please referred to, passes through step in the present embodiment
Rapid S235, step S236, step S237 and step S238 list another implementation of step S23:
Step S235, using perceptual hash algorithm calculate at least one the first pictorial information the first Hamming distance and
Second Hamming distance of at least one second picture information calculates at least one according to the first Hamming distance and the second Hamming distance
Similarity value between a first pictorial information and at least one second picture information.
For example, calculating P using pHash algorithm1And P2Hamming distance be respectively H1And H2。
Further, it is based on H1And H2Calculate P1And P2Similarity value.
Step S236, judges whether similarity value is lower than setting value.
If being lower than setting value, step S237 is turned to, otherwise turns to step S238.
Step S237 determines vehicle information provision and the matching of vehicle demand information.
If P1And P2Similarity value be less than setting value, P1With P2Matching.
Step S238 determines that vehicle information provision and vehicle demand information mismatch.
Step S24 generates counterparty based on vehicle information provision, vehicle demand information and the highway network data prestored
Case.
If vehicle information provision and vehicle demand information are text information, vehicle information provision T is extractedsupplyIn include
First geographical location information and vehicle demand information TdemandIn include the second geographical location information, based on the first geographical position
Confidence breath, the second geographical location information and the highway network data prestored generate transportation cost information C1.Extract vehicle supply letter
Cease TsupplyIn include pricing information and vehicle demand information TdemandIn include bid information, be based on pricing information and fortune
Defeated cost information C1Generate trading scheme M1, it is based on bid information and transportation cost information C1Generate trading scheme M2。
It is appreciated that clearly giving vehicle parameter information in text information, therefore when generating trading scheme, only
Pricing information and transportation cost information need to be covered.
If vehicle information provision and vehicle demand information are pictorial information, P is identified using optical character recognition method1In
Including third vehicle parameter information CP3, third geographical location information and P2In include the 4th vehicle parameter information CP4,
Four geographical location information are generated based on third geographical location information, the 4th geographical location information and the highway network data prestored
Transportation cost information C2, it is based on price character, transportation cost information C2, third vehicle parameter information CP3Believe with the 4th vehicle parameter
Cease CP4Generate trading scheme M3, based on character of bidding, transportation cost information C2, third vehicle parameter information CP3With the 4th vehicle
Parameter information CP4Generate trading scheme M4。
In the present embodiment, the number that the highway network data prestored can come out for announcements such as Amap, Baidu maps
According to.
Trading scheme is respectively sent to corresponding first client of vehicle demand information and the vehicle by step S25
Corresponding second client of information provision.
With trading scheme M1With trading scheme M2For, by trading scheme M1It is sent to vehicle demand information TdemandIt is corresponding
First client (buyer), by trading scheme M2It is sent to vehicle information provision TsupplyCorresponding second client (seller), such as
This, can be realized the information exchange between buyer and seller, guarantee the transparency of transaction.
In another example with trading scheme M3With trading scheme M4For, trading scheme M3With trading scheme M4Cover third
Vehicle parameter information CP3With the 4th vehicle parameter information CP4, this is because vehicle information provision and vehicle demand information are picture
Information so, it is possible so that buyer and seller recognize details required for other side (vehicle parameter information), in this way, energy
It is enough to improve successful probability of trading.
It is related to be appreciated that server-side 10 can not only obtain automobile from text information, pictorial information and voice messaging
Information, such as brand, vehicle, price, logistics transportation, storage, phone contact mode, additionally it is possible to public feelings information is obtained, for example, using
Python jieba participle processing method identifies the first vehicle parameter information CP1Corresponding public feelings information, in another example, the first vehicle
Parameter information CP1For some vehicle system of Lexus, the information of vehicle, server-side 10 can identify each canal in nearly 1 year
Public feelings information and trading scheme are packaged and are sent to dealing side to the attitude (public feelings information) of this vehicle by road, platform, so that
Dealing side can analyze vehicle transaction from multiple angles.
It optionally, can also include the information of loan, financing aspect in trading scheme, in other words, server-side 10 can
Vehicle supply and demand information, finance fund information and vehicle public sentiment subject information are identified by vehicle consultation information, so, it is possible to fill
Divide the resource using internet, and then quickly capture potential Transaction apparatus meeting, the acceleration of the process of circulation is promoted to check, promotes effect
Rate.By the sentiment analysis to group in the industry, feedback channel is established, upstream firm can be helped to complete product improvement, price tune
Whole equal policy developments.
On the basis of the above, as shown in fig. 7, the embodiment of the invention provides a kind of vehicle consultation information processing unit 20,
The vehicle consultation information processing unit 20 includes: data obtaining module 21, supply and demand information identification module 22, trading scheme generation
Module 23 and trading scheme sending module 24.
Data obtaining module 21, for obtaining vehicle consultation information from social platform.
Since data obtaining module 21 is similar with the realization principle of step S21 in Fig. 2, do not illustrate more herein.
Supply and demand information identification module 22, for according to the classification of the vehicle consultation information identify vehicle information provision and
Vehicle demand information.
Since supply and demand information identification module 22 is similar with the realization principle of step S22 in Fig. 2, do not say more herein
It is bright.
Trading scheme generation module 23, for judge the vehicle information provision and the vehicle demand information whether
Match, if matching, generates counterparty based on the vehicle information provision, the vehicle demand information and the highway network data prestored
Case.
Since trading scheme generation module 23 and step S23 in Fig. 2 are similar with the realization principle of step S24, herein
Do not illustrate more.
Trading scheme sending module 24, it is corresponding for the trading scheme to be respectively sent to the vehicle demand information
First client and corresponding second client of the vehicle information provision.
Since trading scheme sending module 24 is similar with the realization principle of step S25 in Fig. 2, do not say more herein
It is bright.
To sum up, vehicle consultation information processing method and processing device provided by the embodiment of the present invention, can be from social platform
Vehicle information provision and vehicle demand information are excavated in daily information, and then are quickly captured potentially under internet overall situation
Transaction apparatus meeting.
In several embodiments provided by the embodiment of the present invention, it should be understood that disclosed device and method, it can also
To realize by another way.Device and method embodiment described above is only schematical, for example, in attached drawing
Flow chart and block diagram show that the devices of multiple embodiments according to the present invention, method and computer program product are able to achieve
Architecture, function and operation.In this regard, each box in flowchart or block diagram can represent module, a program
A part of section or code, a part of the module, section or code include that one or more is patrolled for realizing defined
Collect the executable instruction of function.It should also be noted that in some implementations as replacement, function marked in the box
It can occur in a different order than that indicated in the drawings.For example, two continuous boxes can actually be held substantially in parallel
Row, they can also be executed in the opposite order sometimes, and this depends on the function involved.It is also noted that block diagram and/or
The combination of each box in flow chart and the box in block diagram and or flow chart, can the function as defined in executing or dynamic
The dedicated hardware based system made is realized, or can be realized using a combination of dedicated hardware and computer instructions.
In addition, each functional module in each embodiment of the present invention can integrate one independent portion of formation together
Point, it is also possible to modules individualism, an independent part can also be integrated to form with two or more modules.
It, can be with if the function is realized and when sold or used as an independent product in the form of software function module
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, server-side 10 or the network equipment etc.) execute all or part of step of each embodiment the method for the present invention
Suddenly.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), deposits at random
The various media that can store program code such as access to memory (RAM, Random Access Memory), magnetic or disk.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to the packet of nonexcludability
Contain, so that the process, method, article or equipment for including a series of elements not only includes those elements, but also including
Other elements that are not explicitly listed, or further include for elements inherent to such a process, method, article, or device.
In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including the element
Process, method, article or equipment in there is also other identical elements.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of vehicle consultation information processing method, which is characterized in that be applied to server-side, comprising:
Vehicle consultation information is obtained from social platform；
Vehicle information provision and vehicle demand information are identified according to the classification of the vehicle consultation information；
Judge whether the vehicle information provision and the vehicle demand information match, if matching, based on vehicle supply letter
Breath, the vehicle demand information and the highway network data prestored generate trading scheme；
The trading scheme is respectively sent to corresponding first client of the vehicle demand information and vehicle supply
Corresponding second client of information.
2. vehicle consultation information processing method according to claim 1, which is characterized in that according to the vehicle consultation information
Classification the step of identifying vehicle information provision and vehicle demand information, comprising:
If the vehicle consultation information is text information, word segmentation processing is carried out to obtain multiple participles to the text information, is united
Count the word frequency and part of speech of each participle；
The multiple word frequency and multiple parts of speech that are obtained based on statistics extract the text feature of the text information；
The convolutional neural networks of Natural Language Processing Models are built into text feature input to identify that the vehicle supplies
Answer information and the vehicle demand information.
3. vehicle consultation information processing method according to claim 2, which is characterized in that judge the vehicle information provision
The step of whether being matched with the vehicle demand information, comprising:
It extracts the first vehicle parameter information for including in the vehicle information provision and includes in the vehicle demand information
Second vehicle parameter information；
Judge whether first vehicle parameter information and second vehicle parameter information are identical, if first vehicle parameter
Information is identical with second vehicle parameter information, determines the vehicle information provision and vehicle demand information matching.
4. vehicle consultation information processing method according to claim 3, which is characterized in that based on vehicle supply letter
The step of breath, the vehicle demand information and the highway network data prestored generate trading scheme, comprising:
It extracts the first geographical location information for including in the vehicle information provision and includes in the vehicle demand information
Second geographical location information；
It is generated based on first geographical location information, second geographical location information and the highway network data prestored
Transportation cost information；
The bid information extracted the pricing information for including in the vehicle information provision and include in the vehicle demand information；
The first trading scheme is generated based on the pricing information and the transportation cost information, based on the bid information and described
Transportation cost information generates the second trading scheme.
5. vehicle consultation information processing method according to claim 4, which is characterized in that send out the trading scheme respectively
Send the step to corresponding first client of the vehicle demand information and corresponding second client of the vehicle information provision
Suddenly, comprising:
First trading scheme is sent to second client；Second trading scheme is sent to first visitor
Family end.
6. vehicle consultation information processing method according to claim 5, which is characterized in that the method also includes:
The corresponding public feelings information of first vehicle parameter information is identified from the text information using setting segmentation methods,
The public feelings information and first trading scheme are packaged and are sent to second client.
7. vehicle consultation information processing method according to claim 1, which is characterized in that according to the vehicle consultation information
Classification the step of identifying vehicle information provision and vehicle demand information, comprising:
If the vehicle consultation information is pictorial information, identify in the pictorial information exist using optical character recognition method
At least one first pictorial information of price character and at least one the second picture information that there is character of bidding；
It, will at least one described second picture information by least one described first pictorial information as the vehicle information provision
As the vehicle demand information.
8. vehicle consultation information processing method according to claim 7, which is characterized in that judge the vehicle information provision
The step of whether being matched with the vehicle demand information, comprising:
Using perceptual hash algorithm calculate at least one first pictorial information the first Hamming distance and it is described at least
Second Hamming distance of one second picture information；Institute is calculated according to first Hamming distance and second Hamming distance
State the similarity value between at least one first pictorial information and at least one described second picture information；
Judge whether the similarity value is lower than setting value, if the similarity value is lower than the setting value, determines the vehicle
Information provision and vehicle demand information matching.
9. vehicle consultation information processing method according to claim 8, which is characterized in that based on vehicle supply letter
The step of breath, the vehicle demand information and the highway network data prestored generate trading scheme, comprising:
The third vehicle ginseng for including at least one described first pictorial information is identified using the optical character recognition method
The 4th vehicle parameter information for including in number information and third geographical location information and at least one described second picture information
With the 4th geographical location information；
It is generated based on the third geographical location information, the 4th geographical location information and the highway network data prestored
Transportation cost information；
Based on the price character, the transportation cost information, the third vehicle parameter information and the 4th vehicle parameter
Information generates the first trading scheme；
Based on the character of bidding, the transportation cost information, the third vehicle parameter information and the 4th vehicle parameter
Information generates the second trading scheme.
10. a kind of vehicle consultation information processing unit, which is characterized in that be applied to server-side, described device includes:
Data obtaining module, for obtaining vehicle consultation information from social platform；
Supply and demand information identification module, for identifying vehicle information provision and vehicle need according to the classification of the vehicle consultation information
Seek information；
Trading scheme generation module, for judging whether the vehicle information provision and the vehicle demand information match, if
Match, generates trading scheme based on the vehicle information provision, the vehicle demand information and the highway network data prestored；
Trading scheme sending module, for the trading scheme to be respectively sent to corresponding first visitor of the vehicle demand information
Family end and corresponding second client of the vehicle information provision.
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