CN108038216A - Information processing method, device and server cluster - Google Patents
Information processing method, device and server cluster Download PDFInfo
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Abstract
The present invention provides a kind of information processing method, device and server cluster, the embodiment of the present invention will utilize the trade trend information in the 3rd application platform, data fusion is carried out to the pending historical information of enterprises, obtain various dimensions basic data, so as to utilize machine learning algorithm, the various dimensions basic data is calculated, obtain multi-dimensional object data, it can also intuitively be shown by terminal device, enterprise work personnel are facilitated fast and accurately to formulate marketing strategy accordingly, determine enterprise future market direction, potential customers etc., reduce the workload of staff, improve work efficiency, and enable the enterprise to obtain more Multi benefit and market competition advantage.
Description
Technical field
Present application relates generally to enterprise market analysis technical field, more particularly to a kind of information processing method,
Device and server cluster.
Background technology
In nowadays economic globalization and the epoch of information huge explosion, enterprise is typically by Analyzing Customer Relationship Management, essence
Standard grasps customer value and client's ability to make profits, so as to specify rational marketing strategy, expands enterprise market, increases customers
Body, makes enterprise obtain more Multi benefit and market competition advantage.
At present, enterprise is typically to pass through market survey by staff, determines the demand of current generation client, excavates old visitor
Family and potential customers, the workload of this tradition investigation mode is very big, and requires staff to have stronger information hole
Power, comprehensive analytical capacity etc. are examined, causes work efficiency very low.
The content of the invention
In view of this, the present invention provides a kind of information processing method, device and server cluster, by crawling third party
The trade trend information of application platform, carries out data fusion to the pending historical information of this application platform and machine learning is transported
Calculate, obtain predicting the multi-dimensional object data of industry latest development, and intuitively show, it is not necessary to which staff is artificial
Investigation, greatly reduces the workload of staff, improves work efficiency, and enables the enterprise to obtain more Multi benefit and city
Field competitive advantage.
In order to realize foregoing invention purpose, this application provides following technical scheme:
An embodiment of the present invention provides a kind of information processing method, the described method includes:
Crawl the trade trend information in third-party application platform;
Using the trade trend information, data fusion is carried out to pending historical information, obtains various dimensions basic data;
Machine learning calculating is carried out to the various dimensions basic data, obtains multi-dimensional object data, wherein, the multidimensional
Target data is used to be shown.
Optionally, it is described to utilize the trade trend information, data fusion is carried out to pending historical information, obtains multidimensional
Basic data is spent, including:
Using the trade trend information, polymerization is grouped to pending historical information;
Melted based on packet aggregation as a result, carrying out data to the trade trend information and the pending historical information
Close, obtain various dimensions basic data.
Optionally, it is described that machine learning calculating is carried out to the various dimensions basic data, multi-dimensional object data are obtained, are wrapped
Include
Obtain the program content formulated;
Based on the program content, machine learning calculating is carried out to the various dimensions basic data, is obtained and the plan
The information of forecasting that content matches.
Optionally, the method further includes:Using the multi-dimensional object data, corresponding various dimensions scatter diagram is generated;
The various dimensions scatter diagram is sent at least one terminal device and is shown.
Optionally, the method further includes:
Obtain the historical information of each subsystem of this application platform;
The historical information is filtered and conversion process, obtain pending historical information.
The embodiment of the present invention additionally provides a kind of information processor, and described device includes:
Information crawler module, for crawling the trade trend information in third-party application platform;
Data fusion module, for utilizing the trade trend information, carries out data fusion to pending historical information, obtains
To various dimensions basic data;
Computing module, for carrying out machine learning calculating to the various dimensions basic data, obtains multi-dimensional object data,
Wherein, the multi-dimensional object data are used to be shown.
Optionally, the data fusion module includes:
Packet aggregation unit, for utilizing the trade trend information, polymerization is grouped to pending historical information;
Data fusion unit, for based on packet aggregation as a result, to the trade trend information and described pending going through
History information carries out data fusion, obtains various dimensions basic data.
Optionally, the computing module includes:
Acquiring unit, for obtaining the program content formulated;
Computing unit, for based on the program content, carrying out machine learning calculating to the various dimensions basic data, obtaining
To the information of forecasting to match with the program content.
Optionally, described device further includes:
Scatter diagram generation module, for utilizing the multi-dimensional object data, generates corresponding various dimensions scatter diagram;
Data transmission module, is shown for sending the various dimensions scatter diagram at least one terminal device.
The embodiment of the present invention additionally provides a kind of server cluster, it is characterised in that the server cluster includes:
Communication interface;
Memory, the computer program of information processing method as described above is realized for storing;
Processor, for loading and performing the computer program, including:
Crawl the trade trend information in third-party application platform;
Using the trade trend information, data fusion is carried out to pending historical information, obtains various dimensions basic data;
Machine learning calculating is carried out to the various dimensions basic data, obtains multi-dimensional object data, wherein, the multidimensional
Degree target data is used to be shown.
It can be seen from the above that compared with prior art, the present invention provides a kind of information processing method, device and server set
Group, the trade trend information that the embodiment of the present invention will be utilized in the 3rd application platform, to the pending historical information of enterprises
Data fusion is carried out, various dimensions basic data is obtained, so that using machine learning algorithm, which is counted
Calculate, obtain multi-dimensional object data, it can also intuitively be shown by terminal device, facilitate enterprise work personnel accordingly
Marketing strategy is fast and accurately formulated, enterprise future market direction, potential customers etc. is determined, reduces the work of staff
Amount, improves work efficiency, and enables the enterprise to obtain more Multi benefit and market competition advantage.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is attached drawing needed in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
The embodiment of invention, for those of ordinary skill in the art, without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 is a kind of flow chart of information processing method provided in an embodiment of the present invention;
Fig. 2 is the flow chart of another information processing method provided in an embodiment of the present invention;
Fig. 3 is a kind of application schematic diagram of various dimensions scatter diagram provided in an embodiment of the present invention;
Fig. 4 is a kind of structure chart of information processor provided in an embodiment of the present invention;
Fig. 5 is the structure chart of another information processor provided in an embodiment of the present invention;
Fig. 6 is the structure chart of another information processor provided in an embodiment of the present invention;
Fig. 7 is the structure chart of another information processor provided in an embodiment of the present invention;
Fig. 8 is a kind of hardware structure diagram of server cluster provided in an embodiment of the present invention;
Fig. 9 is a kind of structure chart of information processing system provided in an embodiment of the present invention.
Embodiment
Just so-called know yourself as well as the enemy can be victorious in every battle, and chance always favors prepared people, such as in sales industry, only
The trend of effective master goal client can just catch the demand of target customer, be ready for sale.If sale enterprise, if waiting
In face of to other side, product bidding documents is put into, which often would not also belong to the sale enterprise, that is to say, that if to handle
Product or service sales go out, it is necessary to actively seize the opportunity for battle, the sale business opportunity of frequent customer or potential customers can be seen clearly at any time.
In nowadays economic globalization and the epoch of information huge explosion, traditional sales mode faces choosing for market globalization
War, manager needs the visual angle with the whole world to consider a problem, and traditional sales mode, it is desirable to which sales force has very strong letter
Insight and comprehensive analysis processing ability are ceased, but this often needs temper out for many years, for most of common pin
The personnel of selling are difficult to accomplish, this, which results in enterprise, can not see clearly the sale business opportunity of frequent customer or potential customers accurately and in time, are influenced
Enterprise market is expanded;This traditional sales mode by manually investigating is additionally, since, the workload of sales force is very big,
Work efficiency is relatively low.
In order to improve the above problem, the inventor of the embodiment of the present invention proposes one kind based on internet information collection, big number
According to modes such as analyzing and processing, new information processing scheme, the program expands the mode that sales force obtains effective information, i.e., logical
The trade trend information that server cluster directly captures third-party application platform is crossed, and accordingly to the pending history of enterprises
Information carries out data fusion, obtains various dimensions basic data, afterwards using machine learning algorithm, to the various dimensions basic data into
Row calculates, and obtains multi-dimensional object data, it is not necessary to which sales force is manually investigated, it becomes possible to fast and accurately understand market
Market, facilitate enterprise work personnel fast and accurately to formulate marketing strategy accordingly, determine enterprise future market direction, potential customers
Deng and reducing the workload of staff, improve work efficiency, and enable the enterprise to obtain more Multi benefit and market is competing
Strive advantage.
Below in conjunction with the attached drawing in the embodiment of the present invention, the technical solution in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other without making creative work
Embodiment, belongs to the scope of protection of the invention.
As shown in Figure 1, for a kind of flow chart of information processing method provided in an embodiment of the present invention, this method can wrap
Include:
Step S11, crawls the trade trend information in third-party application platform;
The embodiment of the present invention can utilize crawler technology, crawl the various industries multidate information in third-party application platform,
The content of the specific trade trend information for crawling process and crawling is not construed as limiting.
Optionally, third-party application platform can include the application platforms of government department or enterprises and institutions, each enterprise
Application platform, the application platform of national all departments or every profession and trade authoritative department, the news briefing platform etc. of mainstream media, accordingly
The trade trend information crawled can include:The throwing of the related information on bidding, each enterprise of government department or enterprises and institutions' issue
Provide the correlation of relation map, the industry statistic information of national all departments or the issue of every profession and trade authoritative department and mainstream media's issue
News information etc..
Wherein, crawler technology, that is, web crawlers, it is a kind of according to certain rule, automatically captures web message
Program or script, be widely used in internet search engine or other similar to website, automatic collection is all to be able to access that
Content of pages, to obtain or update in these websites perhaps retrieval mode.
In practical applications, network can be carried out according to preset condition to crawl, so as to obtain the trade trend of designated trade
Information, or certain convenient multidate information of the designated trade etc., specifically can combine crawler technology reality according to being actually needed
Existing, the embodiment of the present invention is no longer described in detail one by one herein.
It should be noted that be continuous accumulation and renewal for the trade trend information crawled, server cluster can be with
Carry out in real time or periodically crawling operation, to obtain newest trade trend information.As described above, each 3rd can be crawled
All trade trend data of application platform, can also crawl the corresponding trade trend of each 3rd application platform according to preset requirement
Data, the embodiment of the present invention are not construed as limiting this.
Step S12, using the sector multidate information, carries out data fusion to pending historical information, obtains various dimensions base
Plinth data;
Wherein, pending historical information can be inside data of enterprise, for example customer data information, change release and sell
The history information such as information afterwards, for the enterprise of different industries, the content of the pending historical information of acquisition is typically
Different, the content and acquisition modes that the embodiment of the present invention includes the pending historical information are not construed as limiting.
Optionally, the embodiment of the present invention can obtain this application platform each subsystem (i.e. enterprise place application platform
All departments' system) historical information after, the pretreatment such as can be filtered and be changed to it, obtain required pending history
Information, the pending historical information of guarantee gained is true, effective, promptness, i.e., obtains accurate historical information as far as possible.The present invention
Embodiment does not limit the preprocess method of a large amount of historical informations of acquisition.
Afterwards, the embodiment of the present invention will carry out depth excavation to pending historical information, be believed using the trade trend of acquisition
Breath carries out comprehensive analysis processing, obtains effective business opportunity information.In this process, trade trend information can be combined, uses phase
Like property classification scheduling algorithm, pending historical information is subjected to various dimensions (such as region, investment relation, industry etc.) packet aggregation,
And according to packet aggregation as a result, merged to pending historical information, such as by the change release of enterprise and information after sale
Merged, the statistical information crawled, bidding information etc. are merged, so as to form the number with various dimensions hierarchical relationship
It is believed that breath, i.e. various dimensions basic data.
It is to be appreciated that the embodiment of the present invention is not construed as limiting the concrete methods of realizing of Data Fusion process, not office
It is limited to manner described above.
Step S13, carries out machine learning calculating to the various dimensions basic data, obtains multi-dimensional object data.
The embodiment of the present invention is excavated the various dimensions basic data obtained after fusion by machine learning algorithm, from
And obtain the business opportunity sales information of dynamic multidimensional degree, i.e. multi-dimensional object data.
Include customer data (such as the purchased product guarantee expiration time, sale gold of enterprises with pending historical information
Volume, sales volume etc.) exemplified by, machine learning algorithm by constantly training study after, can not only to existing customer's data into
Row analysis mining, and it is pre- can to carry out business opportunity by similar or relevant industries bidding information and competing product multidate information etc.
It is alert.For example, Constructing data center, or the bidding of the relevant software systems construction issue of certain big data to be carried out by certain enterprise
Information, can judge the joint demand to server hardware automatically, so that sales force makes corresponding in advance according to the demand
Accurately, the success rate of bidding is improved.
Wherein, it is commonly used in being shown for obtained multi-dimensional object data, such as, server set pocket transmission is to extremely
A few terminal device is shown, so that the sales force of terminal equipment side can intuitively, quickly and accurately learn production
The effective various dimensions information of product, it is not necessary to which the artificial analysis and summary of sales force, simplify the complexity of message comprehensive analysis, reduce
The working strength of sales force, preferably auxiliary enterprises managers can carry out educated decisions.
In conclusion it is flat to crawl the 3rd application relevant with this enterprise by big data analysis technology for the embodiment of the present invention
The trade trend information of platform, so as to carry out effective integration to the pending historical information of enterprises accordingly, obtains predicting
The multi-dimensional object data of business opportunity, compared with traditional sales mode, it is not necessary to which staff manually carries out market survey, and comprehensive
Analysis and investigation determine enterprise future market direction, the embodiment of the present invention will be by servicing as a result, excavation frequent customer and potential customers
Device cluster automatically derives multi-dimensional object data in the manner described above, and enterprise terminal directly acquires and shows the multi-dimensional object number
According to, you can understand current industry latest tendency, see clearly the sale business opportunity of frequent customer or potential customers, it is time saving and energy saving, so that enterprise
Industry can obtain more Multi benefit and market competition advantage.
As shown in Fig. 2, for the flow chart of another information processing method provided in an embodiment of the present invention, this method can wrap
Include:
Step S21, crawls the trade trend information in third-party application platform;
Wherein, the realization of step S21 is identical with realizing for above-mentioned steps S11, and this will not be detailed here for the present embodiment.
Step S22, obtains the historical information of each subsystem of this application platform, and the historical information is filtered and changed
Processing, obtains pending historical information;
It is to be appreciated that under normal conditions, the historical information of each subsystem of this application platform of acquisition is mass data, and it is logical
The problem of being commonly present the aspects such as inconsistent, repetition, Noise and dimension height, it usually needs these data are pre-processed,
But used preprocess method is not limited to filtering and conversion (the i.e. data cleansing and data convert) place of step S22 records
Reason method, and the specific implementation that both data preprocessing methods are converted to the data cleansing and data is also not construed as limiting,
It can be determined according to the data content actually crawled.
Step S23, using the sector multidate information, polymerization is grouped to pending historical information;
Optionally, the embodiment of the present invention can be grouped place using default aggregate function to pending historical information
Reason, specific implementation process are not construed as limiting.
In practical applications, the theme included using the trade trend information crawled, can be drawn pending historical information
It is divided into multiple dimensions, such as region, investment relation, industry etc., so as to be carried out according to these dimensions to trade trend information
Packet aggregation, the specific landscape of existing market is understood from respective dimensions.
Step S24, is melted based on packet aggregation as a result, carrying out data to the sector multidate information and pending historical information
Close, obtain various dimensions basic data;
Data fusion technique refers to be subject to some observation informations chronologically obtained under certain criterion using computer
Automatically analyze, is comprehensive, with the information processing technology completed required decision-making and assessment task and carried out.
In embodiments of the present invention, the synthesis of the multi-source datas such as enterprise, cause, government is realized using Data fusion technique
Analyze, the effective analysis data set of formation, and the analysis data set can also be recombinated with the change of data source, adjusts and updated,
It ensure that the reliability of gained various dimensions basic data.
Optionally, Data Fusion process can usually include obtaining the multi-source data (row of i.e. each 3rd application platform
The pending historical information of industry multidate information, Enterprise content), study and understand obtained data, comb and clear up data, number
According to changing and establishing structure, data combination, establishes six basic steps such as analysis data set, in embodiments of the present invention, step
The data fusion that S24 is recorded is primarily referred to as establishing analysis data set the step, can be used for following the trail of the marketing of internet shopping
Data and consumer behavior etc. is delineated, realize the excavation of frequent customer and potential customers, but be not limited thereto.
Step S25, obtains the program content of formulation;
Wherein, the program content can be used for characterize enterprise it should be understood that information, for the different demands of enterprise, the meter
It is typically different to draw the information that content includes, moreover, with the change of enterprise demand, which can also change therewith
Become, the information and the way of output that the embodiment of the present invention includes the program content are not construed as limiting.
Optionally, above-mentioned program content can be completed to formulate in enterprise terminal equipment, and is uploaded to server cluster,
So that server cluster obtains the multi-dimensional object data for meeting the program content according to the method described above.
Step S26, based on the program content, machine learning calculating is carried out to various dimensions basic data, obtain with it is inside the plan
Hold the information of forecasting to match;
Machine learning is a multi-field cross discipline, specializes in the study row that the mankind were simulated or realized to computer how
To obtain new knowledge or skills, to reorganize the existing structure of knowledge and being allowed to constantly improve the performance of itself.
In embodiments of the present invention, which can be the multi-dimensional object data of foregoing embodiments, it includes
Specific data are based on the different and different of above-mentioned program content.It is described above, program content is the equal of to various dimensions basis
Data carry out the training objective of machine learning, and the embodiment of the present invention is not construed as limiting the particular content of the machine learning algorithm, can
Using logistic regression, decision tree, K nearest neighbor algorithms, or the scheduling algorithm such as dimension-reduction algorithm, to realize the place to various dimensions basic data
Reason, obtains required information of forecasting, specific implementation process is no longer described in detail.
Step S27, is sent at least one terminal device by obtained information of forecasting and is shown.
Optionally, in order to facilitate the directly perceived and quick implication learnt gained information of forecasting and represented, it can be handled,
Corresponding various dimensions scatter diagram is generated, i.e., in a coordinate system, by guarantee expiration time, consumption sum, sales volume, competing product move
The data of multiple dimensions such as state, relevant industries bidding information, determine scatterplot position and size, such as Visual Graph of composition, Fig. 3
It is shown, in the various dimensions scatter diagram, usually there are the data of two dimensions to need to compare, as shown in Figure 3 by consumption sum, sale number
The various dimensions scatter diagram that amount and these three dimensions of region are formed, the first two dimension needs to compare, wherein, in order to identify region this
The data of a dimension, can set the corresponding scatterplot color of different geographical or the corresponding word marking of addition etc., but not limit to
In this, Fig. 3 is only a kind of schematic diagram of various dimensions scatter diagram.
Afterwards, which is sent at least one terminal device and be shown, so that enterprise work personnel
It is directly viewable the various dimensions scatter diagram of terminal device displaying, you can accurately and quickly learn information corresponding with program content.
Certainly, obtained information of forecasting directly can also be fed back at least one terminal device by server cluster, by end
End equipment is shown using obtained information of forecasting, generation various dimensions scatter diagram, and the embodiment of the present invention dissipates generation various dimensions
The executive agent of point diagram is not construed as limiting.
In addition, the exhibition method for information of forecasting, it is not limited to which the various dimensions scatter diagram of upper description, can also lead to
Cross other modes to be shown, the side of such as other data visualization figures of curve map, column diagram, pie chart, bubble diagram can also be used
Formula shows information of forecasting, the problem of effectively improving unicity, the hysteresis quality of existing electronic report forms and simple graph displaying.
As shown in figure 4, for a kind of structure chart of information processor provided in an embodiment of the present invention, which can apply
Server cluster, can specifically include:
Information crawler module 410, for crawling the trade trend information in third-party application platform;
In the embodiment of the present invention, crawler technology can be utilized to crawl the industry of required at least one third-party application platform
Multidate information, the content included to the sector multidate information are not construed as limiting, and under normal conditions, the sector multidate information is typically
Constantly updated with the time.Data fusion module 420, for utilizing the trade trend information, to pending historical information
Data fusion is carried out, obtains various dimensions basic data;
Optionally, as shown in figure 5, the data fusion module 420 can include:
Packet aggregation unit 421, for utilizing the trade trend information, is grouped pending historical information poly-
Close;
Data fusion unit 422, for based on packet aggregation as a result, to the trade trend information and described pending
Historical information carries out data fusion, obtains various dimensions basic data.Computing module 430, for being carried out to various dimensions basic data
Machine learning calculates, and obtains multi-dimensional object data.
Wherein, the multi-dimensional object data that computing module obtains can be used for being shown, and can specifically send at least
One terminal device is shown, for example is shown by various dimensions scatter diagram mode, but is not limited thereto.
Based on this, as shown in fig. 6, the device can also include:
Scatter diagram generation module 440, for utilizing the multi-dimensional object data, generates corresponding various dimensions scatter diagram;
Data transmission module 450, is shown for sending the various dimensions scatter diagram at least one terminal device.
Optionally, on the basis of the various embodiments described above, as shown in fig. 7, computing module 430 can include:
Acquiring unit 431, for obtaining the program content formulated;
Computing unit 432, for based on the program content, machine learning meter to be carried out to the various dimensions basic data
Calculate, obtain the information of forecasting to match with the program content.
In conclusion the trade trend information that the embodiment of the present invention will be utilized in the 3rd application platform, to enterprises
Pending historical information carries out data fusion, various dimensions basic data is obtained, so that using machine learning algorithm, to the various dimensions
Basic data is calculated, and obtains multi-dimensional object data, can also intuitively be shown it by terminal device, convenient enterprise
Industry staff fast and accurately formulates marketing strategy accordingly, determines enterprise future market direction, potential customers etc., reduces work
Make the workload of personnel, improve work efficiency, and enable the enterprise to obtain more Multi benefit and market competition advantage.
Above- mentioned information processing unit can include processor and memory, above- mentioned information crawl module, data fusion module,
Computing module, scatter diagram generation module and data transmission module etc. are stored in memory, by handling as program unit
Device performs above procedure unit stored in memory to realize corresponding function.
Kernel is included in processor, is gone in memory to transfer corresponding program unit by kernel.Kernel can set one
Or more, the trade trend information of the 3rd application platform is crawled by adjusting kernel parameter, by pending historical information
Data Fusion, obtain various dimensions basic data, recycle machine learning algorithm to carry out data processing, obtain various dimensions mesh
Data are marked, and it is intuitively shown in terminal device, facilitate enterprise work personnel fast and accurately to formulate marketing strategy accordingly,
Determine enterprise future market direction, potential customers etc., reduce the workload of staff, improve work efficiency, and make enterprise
Industry can obtain more Multi benefit and market competition advantage.
Memory may include computer-readable medium in volatile memory, random access memory (RAM) and/
Or the form such as Nonvolatile memory, such as read-only storage (ROM) or flash memory (flash RAM), memory includes at least one deposit
Store up chip.
An embodiment of the present invention provides a kind of storage medium, computer program is stored thereon with, which is located
Reason device, which performs, realizes above- mentioned information processing method, and specific steps are referred to the description of above method embodiment appropriate section, this
This will not be detailed here for embodiment.
An embodiment of the present invention provides a kind of processor, which is used to run computer program, wherein, the computer
Above- mentioned information processing method is performed when program is run, specific steps are referred to the description of above method embodiment appropriate section,
This will not be detailed here for the present embodiment.
Device embodiment above is mainly the description carried out to the virtual architecture of server cluster, below will be from server set
The entity structure of group forms to describe the hardware of the server cluster.As shown in figure 8, the server cluster can include:
Communication interface 810;
Memory 820, the computer program of information processing method as described above is realized for storing;
Processor 830, for loading and performing the computer program, including:
Crawl the trade trend information in third-party application platform;
Using the trade trend information, data fusion is carried out to pending historical information, obtains various dimensions basic data;
Machine learning calculating is carried out to the various dimensions basic data, obtains multi-dimensional object data, wherein, the multidimensional
Degree target data is used to be shown.
Optionally, processor 830 can also carry out the program for realizing following steps:
Using the trade trend information, polymerization is grouped to pending historical information;
Melted based on packet aggregation as a result, carrying out data to the trade trend information and the pending historical information
Close, obtain various dimensions basic data.
Optionally, processor 830 can also carry out the program for realizing following steps:
Obtain the program content formulated;
Based on the program content, machine learning calculating is carried out to the various dimensions basic data, is obtained and the plan
The information of forecasting that content matches.
Optionally, processor 830 can also carry out the program for realizing following steps:
Using the multi-dimensional object data, corresponding various dimensions scatter diagram is generated;
The various dimensions scatter diagram is sent at least one terminal device and is shown.
Optionally, processor 830 can also carry out the program for realizing following steps:
Obtain the historical information of each subsystem of this application platform;
The historical information is filtered and conversion process, obtain pending historical information.
With reference to description of the above method embodiment to message processing flow, the embodiment of the present invention additionally provides a kind of information
Processing system, structure chart as shown in Figure 9, the system can include data acquisition equipment 910, data storage device 920 and
Above-mentioned server cluster 930, wherein, which can be connected at least one with display by wirelessly or non-wirelessly mode
The terminal device 940 of function, for showing handling result.
In embodiments of the present invention, data acquisition equipment can include integrated crawler system, it can be climbed by internet
Take the trade trend data of third-party application platform, and send to data processing equipment, the embodiment of the present invention to it includes climb
Worm system composition structure is not construed as limiting.
Data storage device can be database server, can be used for storing inside data of enterprise, such as customer data,
Change release and the history information such as after sale etc., the embodiment of the present invention does not make the composition structure of the data storage device
Limit.
It can be the big data platform with data processing function that server cluster, which is formed, it is possible to achieve data cleansing, turn
The pretreatment such as change, and combine the trade trend information obtained, depth excavation, comprehensive is carried out to the pending historical information of Enterprise content
Analysis is closed, to obtain required multi-dimensional object data, concrete processing procedure is referred to above method embodiment appropriate section
Description, this will not be detailed here for the present embodiment.
It should be understood by those skilled in the art that, embodiments herein can be provided as method, apparatus, server cluster.
Therefore, the application can be using the embodiment in terms of complete hardware embodiment, complete software embodiment or combination software and hardware
Form.Deposited moreover, the application can use to can use in one or more computers for wherein including computer usable program code
The shape for the computer program product that storage media is implemented on (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
Formula.
The application is with reference to the flow according to the method for the embodiment of the present application, equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that it can be realized by computer program instructions every first-class in flowchart and/or the block diagram
The combination of flow and/or square frame in journey and/or square frame and flowchart and/or the block diagram.These computer programs can be provided
The processors of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that the instruction performed by computer or the processor of other programmable data processing devices, which produces, to be used in fact
The device for the function of being specified in present one flow of flow chart or one square frame of multiple flows and/or block diagram or multiple square frames.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which produces, to be included referring to
Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, thus in computer or
The instruction performed on other programmable devices is provided and is used for realization in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in a square frame or multiple square frames.
It should also be noted that, in the various embodiments described above, such as first, second or the like relational terms are only used
One operation, unit or module and another operation, unit or module are distinguished, without necessarily requiring or implying this
It is a little that there are any actual relationship or order between unit, operation or module.Moreover, term " comprising ", "comprising" or
Any other variant thereof is intended to cover non-exclusive inclusion by person so that process, method including a series of elements or
System not only includes those key elements, but also including other elements that are not explicitly listed, or further include for this process,
Method or the intrinsic key element of system.In the absence of more restrictions, wanted by what sentence "including a ..." limited
Element, it is not excluded that also there are other identical element in the process including the key element, method or system.
Each embodiment is described by the way of progressive in this specification, what each embodiment stressed be and other
The difference of embodiment, between each embodiment identical similar portion mutually referring to.For device disclosed in embodiment,
For server cluster, due to its with embodiment disclosed in method it is corresponding, so description is fairly simple, related part is referring to side
Method part illustrates.
The foregoing description of the disclosed embodiments, enables professional and technical personnel in the field to realize or use the present invention.
A variety of modifications to these embodiments will be apparent for those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, it is of the invention
The embodiments shown herein is not intended to be limited to, and is to fit to and the principles and novel features disclosed herein phase one
The most wide scope caused.
Claims (10)
- A kind of 1. information processing method, it is characterised in that the described method includes:Crawl the trade trend information in third-party application platform;Using the trade trend information, data fusion is carried out to pending historical information, obtains various dimensions basic data;Machine learning calculating is carried out to the various dimensions basic data, obtains multi-dimensional object data, wherein, the Multidimensional object Data are used to be shown.
- 2. according to the method described in claim 1, it is characterized in that, the utilization trade trend information, goes through to pending History information carries out data fusion, obtains various dimensions basic data, including:Using the trade trend information, polymerization is grouped to pending historical information;Based on packet aggregation as a result, carrying out data fusion to the trade trend information and the pending historical information, obtain To various dimensions basic data.
- 3. according to the method described in claim 1, it is characterized in that, described carry out machine learning to the various dimensions basic data Calculate, obtain multi-dimensional object data, includingObtain the program content formulated;Based on the program content, machine learning calculating is carried out to the various dimensions basic data, is obtained and the program content The information of forecasting to match.
- 4. according to the method described in claim 1, it is characterized in that, the method further includes:Utilize the multi-dimensional object number According to generating corresponding various dimensions scatter diagram;The various dimensions scatter diagram is sent at least one terminal device and is shown.
- 5. according to the method described in claim 1, it is characterized in that, the method further includes:Obtain the historical information of each subsystem of this application platform;The historical information is filtered and conversion process, obtain pending historical information.
- 6. a kind of information processor, it is characterised in that described device includes:Information crawler module, for crawling the trade trend information in third-party application platform;Data fusion module, for utilizing the trade trend information, carries out data fusion to pending historical information, obtains more Dimension basic data;Computing module, for carrying out machine learning calculating to the various dimensions basic data, obtains multi-dimensional object data, its In, the multi-dimensional object data are used to be shown.
- 7. device according to claim 6, it is characterised in that the data fusion module includes:Packet aggregation unit, for utilizing the trade trend information, polymerization is grouped to pending historical information;Data fusion unit, for based on packet aggregation as a result, believing the trade trend information and the pending history Breath carries out data fusion, obtains various dimensions basic data.
- 8. device according to claim 6, it is characterised in that the computing module includes:Acquiring unit, for obtaining the program content formulated;Computing unit, for based on the program content, machine learning calculating to be carried out to the various dimensions basic data, obtain with The information of forecasting that the program content matches.
- 9. device according to claim 6, it is characterised in that described device further includes:Scatter diagram generation module, for utilizing the multi-dimensional object data, generates corresponding various dimensions scatter diagram;Data transmission module, is shown for sending the various dimensions scatter diagram at least one terminal device.
- 10. a kind of server cluster, it is characterised in that the server cluster includes:Communication interface;Memory, the computer program of the information processing method as described in claim 1-5 any one is realized for storing;Processor, for loading and performing the computer program, including:Crawl the trade trend information in third-party application platform;Using the trade trend information, data fusion is carried out to pending historical information, obtains various dimensions basic data;Machine learning calculating is carried out to the various dimensions basic data, obtains multi-dimensional object data, wherein, the various dimensions mesh Mark data are used to be shown.
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