CN109379423A - A multi-source cross-domain data interaction system based on cloud platform - Google Patents
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Abstract
The multi-source cross-domain data interactive system based on cloud platform that the invention discloses a kind of, including business cloud service platform, business cloud service platform includes marketing platform, logistics platform, after-sale service platform and procurement platform, business cloud service platform is connected with client, user carries out data interaction with business cloud service platform by client, establishing interactive system includes excavating to the data of client, start the superiority and inferiority of cross-domain correlation technology analysis product various aspects according to data, suitable marketing strategy is formulated according to product analysis result, the data load of client uses subregion loading mode, drop improves the efficiency that user obtains data, the design of filtering recommendation algorithms and product evaluation similarity formula can be faster more efficient popularization automobile product, cross-domain correlation technology can make to generate pass in user and cloud platform between multiple fields different product Connection relationship, the marketing strategy of formulation can greatly expand the new client and Xin user of automobile product, improve product sales volume and benefit.
Description
Technical field
The present invention relates to data interaction system field, specially a kind of multi-source cross-domain data interaction system based on cloud platform
System.
Background technique
With the arrival of mobile network and big data era, user participate in network activity it is more and more, all behaviors by
Gradually by digitized record, whole network data shape and source is caused to become more and more abundant.Although the user of single data flow
Modeling has had mature research method, but the sharp increase of multi-source heterogeneous data, and bigger challenge is brought to user modeling, single
One data flow is difficult to portray the Multivariate characteristics of user comprehensively, it is difficult to carry out accurately user and build.
Currently, almost all of application is all in addition to some extremely simple non-networked classes apply (such as calculator, alarm clock etc.)
Working application, and its app client be all only responsible for substantially user interaction and data collection and show, real data and
Service is stored in cloud.
Interaction design (English InteractionDesign, abridge IXD) is that definition, the behavior of design man-made system are set
Meter field, it defines the content and structure exchanged between the individuals of two or more interactions, is allowed to work in coordination, reach jointly
Certain purpose.Interaction design makes great efforts to go to create and what is established is relationship significant between people and product and service, " to be full of
Centered on embedding information technology in the material world of Social paradox ".The target of Design of Interactive System can from " availability " and "
User experience " is analyzed in two levels, pays close attention to people-oriented user demand.
But existing data interaction system has the following deficiencies:
(1) the data transmission of traditional client uses whole page loading mode, product information domestic in the bad rotating ring of network
Or data will load a few minutes, and the case where load failure often occur, reduce the experience and user query product information of user
The speed of data；
(2) few online sale platforms for being directed to auto parts or product on present network, therefore automobile product all needs
It goes auto repair shop or automobile to sell shop to go to buy, it is troublesome and laborious, cause automobile product sales volume not high；
(3) cloud platform makes perfect not enough, degree of understanding of the old and new customers to product in the sales network of automobile product
Not enough, product benefit is promoted unobvious.
Summary of the invention
In order to overcome the shortcomings of that prior art, the present invention provide a kind of multi-source cross-domain data interaction based on cloud platform
The data load of system, client uses subregion loading mode, and drop improves the efficiency that user obtains data, filtering recommendation algorithms
Design with product evaluation similarity formula can be faster more efficient popularization automobile product, cross-domain correlation technology can make user and cloud
Incidence relation is generated between multiple fields different product on platform, improves product sales volume, the marketing strategy of formulation can expand significantly
The new client and Xin user for opening up automobile product, improve product benefit, can effectively solve the problem of background technique proposes.
The technical solution adopted by the present invention to solve the technical problems is:
A kind of multi-source cross-domain data interactive system based on cloud platform, including business cloud service platform, it is characterised in that: institute
The business cloud service platform of stating includes marketing platform, logistics platform, after-sale service platform and procurement platform, and business cloud service platform connects
It is connected to client, user carries out data interaction with business cloud service platform by client.
Further, user includes client, salesman, logistics company, customer service after-sales staff and purchasing agent, and client, battalion
Pin person, logistics company, customer service after-sales staff, purchasing agent respectively with client, marketing platform, logistics platform, after-sale service platform,
The interaction of procurement platform progress information and data.
Further, marketing platform, logistics platform, after-sale service platform, procurement platform exist with client is associated with association
Between marketing platform and procurement platform, there is associated collaborative relationship between marketing platform and logistics platform in same relationship.
Further, the principle of the data interaction of user and cloud platform are as follows: user by accordingly being grasped on the client
Work makes client send request data to cloud platform, carries out respective handling after cloud platform processing request and data return is transferred to visitor
On the end of family, client will come out as the result is shown feeds back to user.
Further, multi-source cross-domain data interactive system is established in business cloud service platform, establishing interactive system includes such as
Lower step:
S100, the data of client are excavated；
S200, start cross-domain correlation technology according to data, analyze product using contacting between user and various products
The superiority and inferiority of various aspects；
S300, suitable marketing strategy is formulated according to product analysis result；
S400, suitable logistics and after-sale service scheme are proposed, is supplied to client's better service.
Further, data mining includes the following steps:
S101, acquire related raw sample data in user, raw sample data include purchase data, sell data,
Tentation data, price data, logistics data, every feedback data, product evaluation data, after-sale service data；
S102, data are pre-processed, pretreatment includes sampling and takes essence, and sampling is i.e. from initial data collected
Target data relevant to mining task is extracted, obtains sample data set, taking essence is filtered out and dig in data conversion process
The relevant feature of pick task or the intrinsic dimensionality for cutting down data；
S103, data are effectively assessed；
If S104, assessment result are dissatisfied, the result of data mining is unsatisfactory for requiring, and need to resurvey new data or change
The method for digging for becoming new takes turns data mining to re-start new one.
Further, between cloud platform and client by the way of asynchronous transmission to the mutual transmission of data, client
Data loading method use subregion loading method, subregion loading method are as follows: load occupy-place frame domain and format first, then
Loading text title, label, keyword message, reload content of text, finally load attached picture and user information, and according to
Network condition selection loads the picture of different clarity and size.
Further, the cross-domain correlation technology includes the following steps:
S201, using name of product as keyword, the search key on Baidu, QQ, wechat, online shopping platform, then
Search its front and unfavorable ratings to product；
S202, it is given a mark according to the user's evaluation of product to product, and the information of client and author is recorded；
S203, marking is calculated using filtering recommendation algorithms；
S204, reasonable, perfect marketing program and customer service are released according to calculated result.
Further, the filtering recommendation algorithms include the following steps:
S205, the evaluation of product or quality adjective are classified the scoring of product according to client, product is carried out
Cross-domain classification, the grading system of each product include very poor, barely satisfactory, quality reluctantly, quality reaches a standard, quality is good, quality
It is outstanding, opinion rating satisfaction is indicated with 1,2,3,4,5 respectively；
S206, the product in cloud platform is divided into n0Class, the client for participating in scoring has m people, with f (n)mIt indicates marked as m's
Marking numerical value of the client to the product marked as n；
S207, two similar clients of product of giving a mark are compared, evaluate similarity according to formula, evaluates similarity
Formula is as follows:
S208, product is newly used to lead referral according to evaluation similarity.
Further, the marketing strategy includes the following steps:
S301, value assessment is carried out to product according to the actual evaluation of product point, formulate suitable price adjustment scheme,
Purchase scheme and logistics scheme guarantee the economic benefit that product is improved while quality；
S302, new client is met, provides questionnaire survey, with lottery product hobby question and answer, Product Experience service to new client；
S303, Discount Promotion appropriate is carried out to frequent customer, welfare is purchased by group, amount purchase discount, makes house calls, good interaction,
Increase using product and give product favorable comment client likability and viscosity；
S304, quarter of profitability and loss are summarized, continuously improves marketing strategy to improve the satisfaction of user.
Compared with prior art, the beneficial effects of the present invention are:
(1) the data load of client of the invention uses subregion loading mode, can load out by information segmenting, no
It reduced by only on-load pressure, and also slowly can gradually load title, text when user network is not well, convenient for using
Required content is observed at family in advance, learns information needed in advance, thus improve user extract information speed, and network not
The picture of low frame per second can also be loaded in the case where good, to reduce the difficulty of information exchange, improves the effect that user obtains data
Rate.
(2) present invention devises filtering recommendation algorithms and product evaluation similarity formula, can quickly and easily calculate and take the post as
It anticipates to the similarity degree of various products evaluation score value between two clients, thus according to any one in two high clients of similarity
The new product of a lead referral, to achieve the purpose that high efficiency promotes automobile product.
(3) cross-domain correlation technology of the invention can make to generate association in user and cloud platform between multiple fields different product
Relationship, adjustment, purchasing agent such as contacting between client and product, the interacting of client and salesman, salesman to product price
Formulation etc. to product purchasing quantity, the role of every field is linked together, and has thus been produced one and has been with product
The linkage sales network of interactive relationship is established between all types of user, between user and product, to make the sale of product more in center
Add specification and rectify strictly, ensure that the stability of product sale and the interests of user, purchase client can on cloud platform network
Automobile product is bought, product sales volume is substantially increased.
(4) present invention has formulated marketing strategy, can greatly expand the new client and Xin user of automobile product, and can increase old
The sense of participation and freshness of client increases the viscosity of frequent customer, improves to keep frequent customer to the degree of belief of product significantly
Product sales volume and benefit.
Detailed description of the invention
Fig. 1 is the interactive relation schematic diagram of user of the invention and cloud platform；
Fig. 2 is the flow chart of multi-source cross-domain data exchange method of the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
As depicted in figs. 1 and 2, the multi-source cross-domain data interactive system based on cloud platform that the present invention provides a kind of, including
Business cloud service platform, the business cloud service platform include that marketing platform, logistics platform, after-sale service platform and buying are flat
Platform, business cloud service platform are connected with client, and user carries out data interaction with business cloud service platform by client.With
The principle of the data interaction of family and cloud platform are as follows: user sends out client to cloud platform by carrying out corresponding operating on the client
It send request data, carries out respective handling after cloud platform processing request and data return is transferred in client, client is by result
It shows and feeds back to user.
User includes client, salesman, logistics company, customer service after-sales staff and purchasing agent, and client, salesman, logistics
Company, customer service after-sales staff, purchasing agent respectively with client, marketing platform, logistics platform, after-sale service platform, procurement platform
Carry out the interaction of information and data.
Client can purchase product, i.e. online shopping in advance in client, and can browse the product information in cloud platform before purchase, including
The evaluation of product, price, the after sale information such as guarantee, specification and product advantage, and client can be after buying product in client
End is evaluated or is given a mark to the automobile product in cloud platform, and client retains contact details after buying product, facilitates cloud platform
To lead referral new product.
Salesman be responsible for having promote the sale of products on network, formulated according to product welcomes degree and benefit reasonable prices and
Communication with Customer persuades client that client is made to have stronger purchase intention, the analysis responsibilities such as product sales volume and efficiency problem.Logistics is public
Department is then responsible for the delivery of product and the return maintenance of product, can improve product and sell efficiency and maintenance efficiency, enable client faster
Ground receives the product of purchase.Customer service after-sales staff has the product difficulty of answer client, is supplied to the autonomous simplified overhauling skill of client
It goes back to the place posted when art, offer product repairing, arrange the responsibilities such as on-site maintenance personnel.And purchasing agent then has according to the network market
Market, questionnaire survey, product scoring, product efficiency etc. formulate the responsibilities such as purchasing price and quantity purchase.
There is associated collaborative relationship in marketing platform, logistics platform, after-sale service platform, procurement platform and client, battalion
There is associated collaborative relationship between pin platform and procurement platform, between marketing platform and logistics platform.
To the mutual transmission of data, traditional data I/O transfer side by the way of asynchronous transmission between cloud platform and client
Formula is one IO of a thread process, in other words the multiple IO of thread process, if thread is inadequate, IO just needs to arrange
Team.And the feature of asynchronous maximum is exactly not to be lined up, after this I/O Request, next I/O Request then on, be thus not in
The phenomenon that I/O transfer blocks, the performance of server can have been made full use of naturally, any resource has not been wasted, mentions significantly
The processing capacity and efficiency of cloud platform are risen.
The data loading method of client uses subregion loading method, subregion loading method are as follows: load occupy-place first
Frame domain and format, then loading text title, label, keyword message, reload content of text, finally load attached picture and
User information, and according to the picture of network condition selection load different clarity and size.The mode gradually loaded in this way is not only
The anxiety degree of user can be reduced, because load when network speed is not well will good a few minutes for traditional whole page loading mode
It does not all load not come out a little even, and information segmenting can be loaded out by subregion loading mode, not only reduce on-load pressure,
And title, text also slowly can be gradually loaded when user network is not well, required for being observed in advance convenient for user
Content, information needed is learnt in advance, to improve the speed that user extracts information, and can be in the case where network is bad
The picture of low frame per second is loaded, to reduce the difficulty of information exchange, improves the efficiency that user obtains data.
Multi-source cross-domain data interactive system is established in business cloud service platform, interactive system is established and includes the following steps:
S100, the data of client are excavated, data mining includes the following steps:
S101, acquire related raw sample data in user, raw sample data include purchase data, sell data,
Tentation data, price data, logistics data, every feedback data, product evaluation data, after-sale service data；
S102, data are pre-processed, pretreatment includes sampling and takes essence, and sampling is i.e. from initial data collected
Target data relevant to mining task is extracted, obtains sample data set, taking essence is filtered out and dig in data conversion process
The relevant feature of pick task or the intrinsic dimensionality for cutting down data；
S103, data are effectively assessed；
If S104, assessment result are dissatisfied, the result of data mining is unsatisfactory for requiring, and need to resurvey new data or change
The method for digging for becoming new takes turns data mining to re-start new one.
Data mining can discard the dross and select the essential, and more accurate and finer data can be extracted, to make subsequent various
Calculated result more has persuasion, can provide the user with preferably theoretical foundation come buy product or sale product.
S200, start cross-domain correlation technology according to data, analyze product using contacting between user and various products
The superiority and inferiority of various aspects, the cross-domain correlation technology include the following steps:
S201, using name of product as keyword, the search key on Baidu, QQ, wechat, online shopping platform, then
Search its front and unfavorable ratings to product；
S202, it is given a mark according to the user's evaluation of product to product, and the information of client and author is recorded；
S203, marking is calculated using filtering recommendation algorithms；
The filtering recommendation algorithms include the following steps:
S205, the evaluation of product or quality adjective are classified the scoring of product according to client, product is carried out
Cross-domain classification, the grading system of each product include very poor, barely satisfactory, quality reluctantly, quality reaches a standard, quality is good, quality
It is outstanding, indicate that scoring questionnaire survey can also be specially arranged in opinion rating satisfaction, grading system with 1,2,3,4,5 respectively, such as
Star is arranged in some parts product of automobile, comments star by the client's marking bought, then determines score according to star, simulate quotient
Family's Star rating means score more clearly to obtain product.
S206, the product in cloud platform is divided into n0Class, the client for participating in scoring has m people, with f (n)mIt indicates marked as m's
Marking numerical value of the client to the product marked as n；
S207, two similar clients of product of giving a mark are compared, evaluate similarity according to formula, evaluates similarity
Formula is as follows:
Wherein, f (n)iThe user marked as i is indicated to the marking numerical value of the product marked as n, X indicates evaluation similarity.
1≤i≤n≤n0, N expression positive integer, i.e. product code numbering is positive integer.Above-mentioned formula is similar with standard deviation formula, [f (n)m-f
(n)i] represented by be the client marked as m and the client marked as n to the difference of the evaluation score value of similar product, and formula
Entirety then indicate then two clients average to the quadratic sum of multiclass product evaluation difference again, can more accurately count in this way
Two clients are calculated to the similarity degree of product evaluation, can thus calculate two clients to the size of product evaluation similarity.
S208, product is newly used to lead referral according to evaluation similarity.If the evaluation criterion for evaluating similarity is X≤1,
Two clients are high to the evaluation similarity of multiple product, i.e., two clients are similar with interest to the hobby of multiclass product, therefore
Can score higher product to another client of one of recommendation in two clients, release to reach by hobby demand
The purpose of new product can greatly meet the needs of recommended client, increase customer satisfaction.And if X > 1, at this moment two clients
Evaluation score value dispersion degree it is higher, illustrate that the similarity of two customer evaluation products is not high, therefore select other clients and its
In the evaluation similarity that both calculates again of some client repeat the operation of above-mentioned recommended products when X≤1.
Preferably, the function of the evaluation similarity formula of filtering recommendation algorithms above and traditional filter algorithm formula
It is similar, it is to look at the similarity degree that user evaluates various products, then according in similar biggish two clients of evaluation
The high product of another customer evaluation of any one lead referral achievees the purpose that recommend to promote product.Evaluate the formula of similarity
Formula than traditional filtering algorithm is easily understood, and calculating step is few, can quickly show that two clients are similar to the evaluation of product
Degree, so that improving product promotion recommends efficiency.
Furthermore it is also possible to be produced for some customer satisfaction or the similar of the higher product of evaluation point, substitution or subsidiary association
Product are recommended, for example when some client is higher to car door evaluating deg, can recommend vehicle window, the vehicle of this client's same type
The products such as door lock can greatly extend the buying range of client, provide for the distribution of new product so that client be made to contact new product
Channel.
S204, reasonable, perfect marketing program and customer service are released according to calculated result.
Cross-domain correlation technology can make to generate incidence relation, such as client in user and cloud platform between multiple fields different product
Contacting between product, the interacting of client and salesman, salesman are to the adjustment of product price, purchasing agent to product purchasing number
The formulation etc. of amount, the role of every field is linked together, and has thus produced product-centered a, all types of user
Between interaction, user and product the linkage network interacted ensure that production to make the sale more specification of product and in neat formation
The stability of product sale and the interests of user.
S300, suitable marketing strategy is formulated according to product analysis result, the marketing strategy includes the following steps:
S301, value assessment is carried out to product according to the actual evaluation of product point, formulate suitable price adjustment scheme,
Purchase scheme and logistics scheme guarantee the economic benefit that product is improved while quality.Deisgn product grade average formula:The average value that quality score is participated in product can be found out, i.e., to the comprehensive of automobile product
Evaluation point is closed, thus will appreciate which vehicle product quality is good, favorable comment degree is high, be welcomed by customers, YnBe worth it is higher, illustrate marked as
The product of n is more welcomed by customers, and salesman formulates promotion or promotes price, if product stock is more, can give a discount sale, if producing
Supply falls short of demand for product, can properly increase price, controls sales volume.
In addition, YnValue also has reference value to purchasing agent, if Yn>=3, then illustrate that the product is relatively welcomed by customers, it can
Guide purchasing agent into more such products are purchased, conversely, then illustrating product not is to be in great demand very much, purchasing agent need to consider control to the greatest extent at this time
Amount, to avoid store goods it is excessive and the problem of reduce benefit.
S302, new client is met, provides questionnaire survey, with lottery product hobby question and answer, Product Experience service to new client,
The sense of participation and feeling of freshness of client can be improved, because of the attitude that client generally entertains curiosity for new product and compares,
The eyeball to be attracted clients, can more clearly clear client hobby and product requirement, to be the price adjustment and system of product
Surely increase the volume of product sales strategy provide trend, salesman need to formulate more attract new client and by new client become iron powder or
Frequent customer, to guarantee product muchly sales volume.
S303, Discount Promotion appropriate is carried out to frequent customer, welfare is purchased by group, amount purchase discount, makes house calls, good interaction,
Increase using product and give product favorable comment client likability and viscosity, can improve the viscosity of frequent customer, improve frequent customer
Freshness, i.e., frequent customer buy no longer be product, buy further include service, to make client more trust product, simultaneously
Frequent customer is also that free advertisement and label are made to product to the favorable comment of satisfactory product and service, so as to more to vast
New client carry out sales promotion, stabilize frequent customer, then extend new client again, the efficiency of such product can mention steadily
It rises.
S304, quarter of profitability and loss are summarized, continuously improves marketing strategy to improve the satisfaction of user.
S400, suitable logistics and after-sale service scheme are proposed, is supplied to client's better service.It was sold in product
Afterwards, release product scoring and logistics scoring, observation client is more satisfied to which logistics company, and comprehensive product transports efficiency, produces
Product transport quality assurance and product sells interests etc. and considers to select more suitable logistics company, to guarantee client and quotient
The dual interests and satisfaction of family.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie
In the case where without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power
Benefit requires rather than above description limits, it is intended that all by what is fallen within the meaning and scope of the equivalent elements of the claims
Variation is included within the present invention.Any reference signs in the claims should not be construed as limiting the involved claims.
Claims (10)
Priority Applications (1)
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