CN106779809A - A kind of pricing information optimum organization method and system of big data platform - Google Patents
A kind of pricing information optimum organization method and system of big data platform Download PDFInfo
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Abstract
The present invention provides a kind of pricing information optimum organization method and system of big data platform.Background support as cyber transaction platform of the invention, on the basis of state and attribute that can be in each the specific commodity under collection, polymerization, extraction, analysis extensive stock type in price dimension and other dimensions, tend to and be formed in the specific grouping of commodities object of transaction optimized in price dimension and other dimensions according to boundary condition and user, so as to provide the auxiliary of the forms such as personalized recommendation during platform selecting commodity for user.
Description
Technical field
The present invention relates to big data analysis technical field, more particularly to a kind of pricing information optimum organization of big data platform
Method and system.
Background technology
For cyber transaction platform, the statistics and analysis to merchandise related information are that big data technology is applied
An importance.Pricing information is a parameter for key in the middle of merchandise related information, around pricing information big data institute
The exploitation of the various network platform functions of carrying out is to facilitating user to select, lifting Consumer's Experience has important value.
Price sequence screening, the rate of exchange, Forecast of Price Trend are believed with price on existing disparate networks commodity transaction platform
The related exemplary functions of breath big data.Price sequence screening be with price from low to high, from high to low or belong to a certain interval model
It is foundation to enclose, and commodity is ranked up with display or part shows.The rate of exchange are above carried from the multiple data source such as different transaction platform
Take the pricing information of same or like product and show jointly, and recommend to same commodity or similar commodity there is provided most favorable
The transaction platform of price, for user's comparative analysis.Forecast of Price Trend is to set up contacting between price and certain parameter, will
Price and then correspondingly makes the prediction to upward price trend according to the development and change of the parameter as the function of the parameter.Example
Such as, the price that commodity are closed when certain is connected with the supply of this kind of commodity on transaction platform, price is with supply
Increase and linearly or non-linearly decline, form the function expression of the two, and then, it is possible to by real-time or non real-time statistics
This kind of supply of commodity and substitute into the expression formula and predict corresponding price on transaction platform.Several functions are the most normal above
See, the technological means of realization is also fairly simple.
Above-mentioned big data price analysis function provides powerful function for all kinds of commodity in the dimension of price.But
It is, it is clear that in most cases that price is not that user is selected the unique of when institute's foundation in cyber transaction platform
Dimension.In addition to price dimension, user toward contact can be based on commercial quality and performance, service, history evaluation, the supply of material it is timely
Property and stability, the various add-on measures of transaction and the dimension such as restriction, carry out comprehensive consideration.
And on the basis of big data technology, cyber transaction platform is flat compared to being done shopping under the lines such as traditional market
Platform, its main advantage is that can be provided by the magnanimity information such as entire service supplier on aggregation platform and whole consumers
Source, except price dimension, also can provide accurate, sufficient and multi-source data more than in each other dimension, from basic
On eliminate information asymmetry, finally can most optimally realize commodity transaction.
In order that the big data resource of cyber transaction platform can serve user in price dimension and other each
The fundamental analysis functions such as the comprehensive consideration on dimension, price sequence, the rate of exchange, forecast price that existing platform is introduced above
On, and bring state of the commodity in other dimensions into price analysis function as parameter.For example, in price sequence
Middle credit rating using commodity, performance parameter, service satisfaction or favorable comment degree are excluded in these dimensions as preset screening conditions
On do not meet system definition or user-defined basic demand commodity, satisfactory commodity are then carried out into price row
Sequence；Or using these dimensions as the two grades of foundations for sorting, when the price of some commodity is identical or close enough, just according to this
Parameter in a little dimensions is ranked up.Again for example, in rate of exchange function, also first determine whether commodity credit rating, performance parameter,
Whether meet identical or approximate enough in the dimension such as service satisfaction or favorable comment degree, go strike price to tie up again on the premise of satisfaction
The comparing of degree.Analytic function after optimizing above avoids the commodity list that two kinds of performances, quality, service or public praises are differed greatly
It is pure to carry out price sequence or compare brought misleading effect.
For same user, the various commodity as trading object are frequently not isolated each other, but with straight
Connect substantially contact or the indirectly compound object of potential contact.Combination is formed by the tradable commodity of two or more type right
As, compound object including complete set accessory, common application scenarios, there are various relation morphologies such as relation factor.For example, user
Have purchased to be purchased toward contact after the slr camera of a certain brand and model matched with its brand and model changeable type focal length, in
Burnt, wide-angle lens, the compound object being consequently formed belongs to the situations such as adapter kit.User have purchased after automobile, and usually can
Continue to buy automobile cushion, in-car ornaments, car phone, automobile-used cleaning maintenance instrument etc.；The compound object of above commodity is not
Main accessory relation, brand, model, the product form and function and automobile of cushion, ornaments, phone and instrument brand in itself and
Vehicle does not have directly matching and requires；But the compound object of above commodity has more obvious common application scenarios, so
Belong to common application；User purchases leather boots, cap, gloves, down jackets for winter keeps out the cold and falls within similar therewith jointly should
Situation.Again for example, certain user have purchased air-conditioning, suncream, cold drink to deal with summer sweltering heat to be exposed to the sun, although above commodity
May not have or not have common application scenarios simultaneously, but be the transaction produced based on same driving factors, thus can
To think to belong to the compound object that there is relation factor.
For it is above-mentioned it is all kinds of in the case of, big data basis on, how combination is formed by polytype tradable commodity
Scheme, so comprehensive consideration price dimension and other dimensions and form the compound object of optimization, this is cyber transaction platform
One for being faced is relatively difficult to the technical problem for solving.For example, user will consider to purchase automobile-used setting after have purchased automobile
The problem applied；By taking automobile cushion mentioned above, in-car ornaments, car phone, automobile-used cleaning maintenance instrument as an example, these types
Automobile-used facility which type do not buy, which type is bought, if buy it is all types of buy several respectively, this relates to form combination side
The problem of case；And then, after assembled scheme is determined, for the type of merchandise that assembled scheme includes, how in magnanimity
The selection for rationalizing is realized in brand, businessman, product type, it is determined that the specific object of purchase, this just further relates to pass through
Comprehensive consideration and form the problem of optimum organization object.
For the situation of complete set accessory, because the free degree that it is selected is small, possible assembled scheme is relatively limited, platform
Whole assembled schemes can be listed using permutation and combination algorithm exhaustion, then based on previously described under each assembled scheme
The analytic functions such as price sequence, the rate of exchange under the comprehensive consideration of price dimension and other dimensions, the combination for forming optimization is right
As providing the user the platform services such as purchase recommendation.
But for previously described common application scenarios, exist under many situations such as relation factor, due to selection freely
Degree is very big, and assembled scheme is at high degree of flexibility and probabilistic state；And, determine assembled scheme it
Afterwards, for each type of merchandise in the program, the specific object bought in the type is determined (which business on platform is bought
Which specific commodity that family provides) when, and not only need to consider the specific object sheet in price dimension and other dimensions
State optimization, more to consider influencing each other between the specific object in the specific object and other types, and ensure thus
The overall state optimization on price dimension and other dimensions of the compound object of formation.
It can be seen that, for optimum organization this problem for forming tradable commodity, because the above-mentioned free degree is big, uncertain strong and
The reason for relation that influences each other is complicated, existing network commodity transaction platform is based on what price dimension and the state of other dimensions were realized
The big data such as sequence, rate of exchange analytic function is also difficult to provide to the real helpful settling mode of user.
The content of the invention
In view of problem above present in above-mentioned prior art, present invention aim at a kind of valency of big data platform of offer
Lattice Advance data quality combined method and system.The present invention can collected, gathered as the background support of cyber transaction platform
State and attribute of each the specific commodity close, extract, analyzed under extensive stock type in price dimension and other dimensions
It is specific according to the transaction that boundary condition and user tend to and be formed in optimized in price dimension and other dimensions on basis
Grouping of commodities object, so as to provide the auxiliary of the forms such as personalized recommendation during platform selecting commodity for user.
The pricing information optimum organization method that the present invention is provided, it is characterised in that comprise the following steps：
Step 1：Operation according to user in the network platform, triggers the generating process of compound object, and the compound object is
Combination being optimized in price dimension and other dimensions, being made up of one group of specific object；Also, according to the behaviour of user
Make, obtain alternative objects type set；
Step 2, obtains each specific object under alternative objects type in price from the big data information of the network platform
Price value in dimension, and each specific object is obtained from the big data information of the network platform at least one other dimension
On state and quantization be converted to property value；
Step 3, obtains budget limit parameter and user price-attribute tends to parameter；
Step 4, for all specific price value of the object in price dimension under each alternative objects type, divides
Some price ranges；And according to the price value of each specific object, it is determined that belonging to the corresponding object set of each price range
Close；Filter out the price range of the alternative objects type of the budget limit parameter limitation for meeting user
Step 5, for each price range for each the alternative objects type for being screened out, analysis belongs to this
Property value of the specific object of price range corresponding object set at least one other dimension, obtains each price range phase
Answer the Range Attributes distribution characteristics of object set；
Step 6, each the price range corresponding objects set based on each the alternative objects type for being screened out
Range Attributes distribution characteristics, the ownership to the specific object in these object sets repartitions, and forms each standby
Attribute-the price range for selecting object type and the object set for belonging to each attribute-price range；
Step 7, each attribute-price range for each alternative objects type and belongs to each attribute-valency
The interval object set of lattice, the price-attribute according to user tends to parameter, is the attribute-price range of each object set
The alternative specific object of generation, and on the premise of budget limit parameter is met, by the alternative of different alternative objects types
Specific object is combined and generates the compound object.
Preferably, in step 1, the operation for triggering the generating process of compound object is included but is not limited to：User is in network
Transactional operation on platform performed by specific object, locking behaviour of the user in the network platform performed by specific object
Make or information acquiring operation, lock operation or acquisition of information behaviour of the user in the network platform performed by certain object type
Make, user's active request provides the operation that compound object is recommended.
Preferably, in step 2, the property value at least one other dimension is included but is not limited to：Commodity from
When the property value on property value, Service Properties dimension in body attribute dimensions, the property value in evaluation attributes dimension, transaction are related
Between property value, the property value in the added value attribute dimensions of commodity transaction in attribute dimensions and quantity attribute dimensions.
Preferably, in step 2, when specific object have two or two in one or more described other dimensions with
On property value when, the property value has priority ordered.
Preferably, in step 5, each other dimension is used as space coordinates, and at each, other are tieed up by specific object
Property value on degree as coordinate, so as to be the vectorial V fastened in the space coordinates by each specific object characterizationID
Wherein subscript ID represents the identifier of a certain specific object；Represent the specific object beyond price dimension
Property value in first other dimensions, w1The weighted value of first other dimensions is represented, weighted value is by property valueRelative importance value
Sequence determines that priority ordered then weighted value more high is bigger,Represent seat of the specific object in first other dimensions
Scale value；Analogously,Represent the specific object beyond price dimension second, third until kth other
Property value in dimension, w2, w3...wkSecond, third is represented up to the weighted value of other dimensions of kth,The specific object is represented at second, third until coordinate value in kth other dimensions；
Would indicate that two vectorial V of specific objectID1And VID2Inner product distance or COS distance it is specific right as two
Elephant apart from H；
The distance between vector based on specific object, using K-means clustering algorithms by any price range
Specific clustering objects and generate the Range Attributes distribution characteristics.
It may further be preferable that in step 5, it is any to choose wherein K tool for the specific object in any price range
Body object is used as initial cluster central point；The distance between each specific object in the price range and each cluster central point are calculated,
Each specific object is included into the corresponding clustering cluster of the cluster central point closest with its；It is included into all specific objects and is finished
Afterwards, the cluster central point of each clustering cluster is redefined, and judges the cluster central point for redefining relative to former cluster central point
Have unchanged；If between each specific object calculated again if changing in the price range and the cluster central point for respectively redefining
Distance, each specific object is included into the corresponding clustering cluster of the cluster central point closest with its, and redefined again
Cluster central point simultaneously judges whether cluster central point changes；If the cluster central point for redefining is unchanged relative to former cluster central point,
Cluster is then completed, the K clustering cluster being made up of specific object is obtained；The quantity containing specific object is chosen from K clustering cluster most
Many N number of clustering clusters, this N number of clustering cluster as main clustering cluster makees the cluster central point of main clustering cluster and its cluster radius
It is the Range Attributes distribution characteristics of the price range corresponding object set.
Preferably, in step 6, judge each specific object in each price range corresponding object set and other
Whether the Range Attributes distribution characteristics of price range corresponding object set matches, if matching if by the specific object repartition to
The object set corresponding to other price range corresponding object set is belonged to, the object set after repartitioning is returned as described
Belong to the object set of each attribute-price range.
Preferably, in step 6, after completing for the repartitioning of all specific objects ownership, for drawing again
/ rear new each the object set for being formed, determines the price value distributed area of specific object in each object set and at least
Property value distributed area in one other dimension, the price value distributed area and property value distributed area of each object set are total to
With the attribute-price range as the object set.
Preferably, in step 7, parameter is tended to using the preferential user of attribute for price-attribute, in each object
Specific object with optimum attributes value is chosen on the property value distributed area of the set in set, it is alternately specific right
As；On the premise of budget limit parameter is met, it is combined by the alternative specific object to different alternative objects types, and
Generate the compound object；Tend to user of the parameter using price priority for price-attribute, selected in each object set
The specific object with lowest price value on the price value distributed area of the set is taken, alternately specific object, met
On the premise of budget limit parameter, it is combined by the alternative specific object to different alternative objects types, and is generated described
Compound object.
The present invention so there is provided a kind of pricing information optimum organization system of big data platform, including：Big data information
Storehouse and pricing information optimum organization part；
The big data information bank is used to obtain and store on each specific object in price dimension from the network platform
On price value and other dimensions on state big data information；
The pricing information optimum organization part is used to be obtained on each specific object from the big data information bank
The big data information of the state in price value and other dimensions in price dimension, and perform above-mentioned pricing information optimization group
Conjunction method is to obtain compound object.
How the state that the present invention efficiently solves based on various specific commodity in price dimension and other dimensions is formed
The problem of the optimum organization of the specific commodity of two or more.The present invention can be in collection, polymerization, extraction, analysis extensive stock
On the basis of each state of specific commodity in price dimension and other dimensions and attribute under type, according to boundary condition
Tend to and be formed in the specific grouping of commodities object of transaction optimized in price dimension and other dimensions with user, it is adaptable to
The application scenarios such as the recommendation of grouping of commodities are realized on cyber transaction platform.
Brief description of the drawings
Fig. 1 is pricing information optimum organization method schematic diagram of the present invention；
Fig. 2 is the schematic diagram of pricing information optimum organization system of the present invention.
Specific embodiment
Below by embodiment, technical scheme is described in further detail.
The pricing information optimum organization method that the present invention is provided is aimed to provide by handing over that cyber transaction platform is provided
The compound object that one group of easy specific commodity (calling specific object in the following text) is constituted；Wherein, the compound object in price dimension and
Optimized in other dimensions, and coincidence boundary condition and user tend to.Below the party of the invention is introduced by sequence of steps
Method.
Step 1, the operation according to user in the network platform triggers the generating process of compound object；Also, according to user
Operation, obtain alternative objects type set.The operation that compound object generating process can be triggered is included but is not limited to：User exists
Transactional operation (for example, adding shopping cart, generation order, pay invoice etc.) in the network platform performed by specific object,
User in the network platform performed by specific object lock operation or information acquiring operation (for example, add as concern commodity,
The commodity that add as liking, into commodity homepage browse details etc.), user is in the network platform performed by certain object type
Lock operation or information acquiring operation (for example, the commodity searched in a certain type, subscribe to the news on a certain type of article
With push etc.), user's active request provides operation that compound object recommends (for example, user clicks on " recommends the business related to automobile
The link such as product suit " or " recommending water clothes suit " is so as to ask platform to provide corresponding compound object).
After generating process is triggered, alternative objects type set is obtained, alternative objects type and use in the set
The targeted specific object of operation or certain object type at family be it is associated, the association be embodied in alternative objects type with should
Specific object or certain object type possess common application scenarios or there is relation factor, and wish that this is integrated into and possesses relevance
On the premise of include the type of merchandise as much as possible, as principle by pre-set each type of merchandise of platform or specific
The corresponding alternative objects type set of commodity.For example, user have subscribed an automobile in the network platform, set in advance in the platform
Determined the set of alternative objects type being associated with automobile, the set according to the relevance in terms of common application scenarios comprising
Automobile cushion, in-car ornaments, car phone, automobile-used cleaning maintenance instrument, automobile audio, drive recorder, GPS navigator etc.
Etc. the alternative type of merchandise, so the virtualization such as auto repair service, car insurance Claims Resolution the alternative type of merchandise, so as to according to
The operation at family can obtain the alternative objects type set being associated with automobile.Again for example, can be according to user in a timing
Between all operationss within section, or continuously operate to determine associated alternative objects type set several times；User exists
Air-conditioning, suncream, cold drink continuously are have subscribed on platform, then the identical driving factors that specific commodity have according to more than can be with
Obtain with the set of alternative objects type that is associated of preventing heatstroke and lower the temperature, including electric fan, refrigerator, sunbonnet, sandals, ice bag,
The alternative objects type such as ice cream.
Step 2, obtains each specific object under alternative objects type in price from the big data information of the network platform
Price value in dimension, and each specific object is obtained from the big data information of the network platform at least one other dimension
On state and quantization be converted to property value.
In the network platform, under each the alternative objects type in the alternative objects type set, all exist
The alternative specific object (i.e. specific commodity) of magnanimity；Specific commodity including different brands different model；It is even same
The specific commodity of the same model of one brand, are sold by different businessmans, and it is when price, after-sale service, user evaluate, supply
Between, the aspect such as add-on also unavoidably more or less has differences, thus fall within different specific objects.For alternative objects class
Each specific object under type, using the network platform provide big data information can quantify, comprehensively, accurately have recorded its
State this advantage in price dimension and other each dimensions, in this step, can obtain each specific object in valency
Price value in lattice dimension, i.e., the price that each specific commodity are registered in the network platform.
Meanwhile, in this step, also obtain state of each specific object at least one other dimension, and by its state
Quantization signifying is the property value in the dimension, the property value in each other dimension that the lower mask body introduction present invention is considered：
1. the property value in the self attributes dimension of commodity, commodity self attributes dimension includes but is not limited to brand, configuration, the work(of commodity
Can, the state by each specific object in above brand, configuration, function aspects is converted into property value according to marking rule is quantified.
For example, for brand, according to the default brand of platform-marking conversion table, every kind of brand is converted into certain brand marking, know
Name brand is given a mark higher relative to general brand；For configuration, it is also possible to according to the default configuration of platform-marking conversion table, will
The each single item configuration that specific commodity have is converted to certain configuration and gives a mark, for example, previously mentioned automobile audio, is equipped with
The specific commodity of Hi-Fi sound-box are given a mark higher compared to the commodity of common audio amplifier in this configuration；The marking of function and configuration class
Seemingly, for example, possess the drive recorder of music playback function relative to the drive recorder without the function in this functionally
Marking it is higher；Using above-mentioned brand, configuration, marking functionally as the property value in this dimension；Or, to brand,
Configure, marking functionally is cumulative according to different weights or seeks its average, you can to quantify to obtain commodity self attributes dimension
On property value.2. the property value in the related Service Properties dimension of commodity, commodity and service attribute dimensions include but is not limited to business
The return of goods phase of product, the phase of exchanging goods, free warranty period, customer satisfaction with services, can be by return of goods phases, the phase of exchanging goods, free warranty period
The average statistical of duration and customer satisfaction with services is used as the quantified property value in commodity and service attribute dimensions.3. commodity phase
Property value in the evaluation attributes dimension of pass, commodity evaluation attributes dimension includes but is not limited to commodity history sales volume, user's favorable comment
Degree score, expert's favorable comment degree score, using above sales volume value and score as the property value in commodity evaluation attributes dimension.4. commodity
Property value in transaction correlation time attribute dimensions and quantity attribute dimensions；Time attribute dimension includes but is not limited to commodity and is available for
The earliest time of goods, sustainable time, the Commodity Transportation time of the commodity stabilization supply of material, using these time spans as commodity transaction
Quantified property value in related time attribute dimension；Quantitative attribute dimension includes but is not limited to the maximum transaction limitation of commodity, most
Low transaction limitation, daily/weekly/monthly/quarterly/annual maximum supply of goods and the minimum supply of goods etc., by these limitations or
Quantity is used as the quantified property value in the related quantitative attribute dimension of commodity transaction.5. in the added value attribute dimensions of commodity transaction
Property value, added value attribute dimensions include but is not limited to that commodity are attached the commodity such as to give consumption voucher, commodity add-on, extend warranty
The attached service of giving, using consumption voucher amount, add-on price and prolongs guarantor's duration as in the added value attribute dimensions of commodity transaction
Quantified property value.
For the specific object of each involved, can choose at least one of above-mentioned other dimensions dimension
At least one property value represents the attribute of the specific object, carries out follow-up optimum organization process.When needs are from one or many
When two or more property values are chosen in individual dimension come the attribute for representing the specific object, can be according to different feelings
Priority ordered when these property values is considered in condition, decision.For example, we have chosen in the self attributes dimension of specific commodity
Property value (taking the weighted mean of brand, configuration, function), the free warranty period property value in Service Properties dimension, evaluate category
Commodity history sales volume in property dimension and the Commodity Transportation time in commodity transaction correlation time attribute dimensions represent each
The attribute of specific commodity；Also, decision priority ordered is self attributes dimensional attribute value override, commodity history sales volume attribute
Value secondly, free warranty period property value again, Commodity Transportation time attribute value it is last.Then during follow-up optimum organization,
When being related to the sequence of each specific commodity, the self attributes dimensional attribute value of commodity more specific first is simultaneously arranged according to the property value
Sequence；When the self attributes dimensional attribute value of two specific commodity is identical, the two is entered further according to commodity history sales volume property value
Row sequence, by that analogy.
Step 3, obtains budget limit parameter and user price-attribute tends to parameter.The present invention is under all types of
It is the process of compound object that various specific objects are based on price dimension and other Dimensionality optimizations, is the tool to be included in compound object
Used as its boundary condition, the budget is budget limit parameter for the budget that the total price value of body object is fixed no more than.Can
With by user input or the selected budget limit parameter, for example, user clicks on " recommending the commodity suit related to automobile " showing afterwards
Show the sub- options for user selection such as " being set with 500 yuan ", " being set with 1000 yuan ", " being set with 3000 yuan ".The budget
Boundary parameter can also be based on user's big data and set by the network platform, such as through the consumer record of statistics mass users
Data, the sales volume accounting of automobile dependent merchandise suit is maximum within 500 yuan, then triggered when certain user have subscribed automobile
After the optimum organization process that generation automobile dependent merchandise suit is recommended, budget limit parameter default setting is 500 yuan by platform
Within.The valency of the budget limit parameter specific object targeted with the operation of a certain user triggering optimum organization process can also be made
Lattice match, for example, the price of the automobile of user's order is higher, then generate platform during automobile dependent merchandise suit is recommended
The budget limit parameter of acquiescence is also higher, and the two has certain direct proportion coefficient of conversion.
And then, determine that user price-attribute tends to parameter.User price-attribute tend to parameter can take attribute preferentially with
Any one in both price priorities.Attribute is preferentially referred to during the compound object of generation optimization, in alternative objects
The preferential optimal specific object of property value of choosing adds the compound object in type；On the premise of no more than budget limit, category
Property preferentially often results in the attribute situation of specific object type and negligible amounts but each the specific object included in compound object
It is more excellent.Conversely, price priority refers to the preferential minimum specific object of price value of choosing in alternative objects type adds combination
Object；Price priority often causes that the type and quantity of the specific object included in compound object are more, but each specific object
Attribute situation be unable to reach it is optimal.User price-attribute tends to can be by user according to the subjective tendency and Economic Energy of itself
Power is determined, and the network platform performs in user's registration or every time and interaction page or option are provided when recommending to gather user's
User price-attribute tends to parameter.Certainly, in the case where indefinite user tends to, it is also possible to according to attribute preferentially and price
The preferential compound object for generating corresponding optimization respectively, so that user selects；Also, by user to according to attribute preferentially and price
The selection of the preferential compound object for generating respectively is recorded, and judges user's during so as to for optimizing combined recommendation next time
Tend to.
Step 4, for all specific price value of the object in price dimension under each alternative objects type, divides
Some price ranges, and according to the price value of each specific object, it is determined that belonging to the corresponding object set of each price range
Close.For example, for automobile audio this alternative objects type in the alternative objects type set that is associated with automobile, using flat
Big data of the platform in price dimension is counted, it is found that the price value of each the specific commodity under automobile audio type is distributed in
On 799 yuan to 3580 yuan of number range, then 799-999,1000-1999,2000-2999,3000-3580 can be divided into
Price range, and if the price value of certain specific automobile audio commodity is 1500 yuan, then the specific object is belonged to
To the corresponding object set of price range of 1000-1999, the like, until by all specific automobile audio commodity all according to
The object set of corresponding price range is belonged to according to price value.Again for example, various under GPS navigator this alternative objects type
The price value of specific object is distributed in 205 yuan -675 yuan of data area, then be divided into 205-299,300-399,400-
499th, the price range of 500-599,600-675, and all of specific commodity of GPS navigator type are all belonged into phase dutiable value
Interval object set.It is similar, the price Distribution value of the various specific object under automobile cushion this alternative objects type
In 55 yuan -298 yuan of data area, then the price range of 55-99,100-199,200-298 is divided into, and will be all of
The specific commodity of automobile cushion type belong to the object set of corresponding price range.
Also, in step 4, filter out the price area of the alternative objects type of the budget limit parameter limitation for meeting user
Between, included during follow-up optimum organization and considered.For example, the budget limit parameter setting of user is then vapour within 500 yuan
All price ranges under car sound equipment type do not meet the limitation of the parameter, then excluded in follow-up calculating automobile audio this
Alternative objects type.For this alternative objects type of GPS navigator, 205-299,300-399,400-499 tri- is filtered out
Price range.For automobile cushion, the pre- of user is met through screening its covering price interval 55-99,100-199,200-298
Calculate boundary parameter.As shown in figure 1, wherein P1, P2, P3 represent that (such as this is standby for GPS navigator for some alternative objects type
Select object type) price range that screens, the corresponding specific object set of each price range is G1, G2, G3.
Step 5, for each price range for each the alternative objects type for being screened out, analysis belongs to this
Property value of the specific object of price range corresponding object set at least one other dimension, obtains each price range phase
Answer the Range Attributes distribution characteristics of object set.
Hereinbefore it has been noted that for each specific object, with least one other dimension beyond price dimension
At least one property value represent the attribute of the specific object；And when specific object is chosen with from one or more dimensions
When two or more property values are to represent, these property values have corresponding priority ordered.Can be by each
Other dimensions as space coordinates, and using property value of the specific object in each other dimension as coordinate, so that will be every
Individual specific object characterization is the vector fastened in the space coordinates, i.e.,
Wherein subscript ID represents the identifier of a certain specific object；Represent the specific object beyond price dimension
Property value in first other dimensions, w1The weighted value of first other dimensions is represented, weighted value is by property valueRelative importance value
Sequence determines that priority ordered then weighted value more high is bigger,Represent seat of the specific object in first other dimensions
Scale value；Analogously,Represent the specific object beyond price dimension second, third until kth other
Property value in dimension, w2, w3...wkSecond, third is represented up to the weighted value of other dimensions of kth,The specific object is represented at second, third until coordinate value in kth other dimensions, from
And just by the specific object characterization of ID be to be selected as the sky that other dimensions of considerations are formed by a certain identifier
Between a vector V in coordinate systemID.For example, first other dimensions can be the self attributes dimension of commodity, take product
Board, configuration, the weighted mean of function marking are used as the property value in first other dimensionsSelf attributes dimension it is preferential
Sequence highest is spent, mutually corresponding w1Value is maximum；Second other dimensions are Service Properties dimensions, using free warranty period as this
Property value in second other dimensions3rd other dimensions are evaluation attributes dimensions, using commodity history sales volume value as
Property value in 3rd other dimensions4th other dimensions are commodity transaction correlation time attribute dimensions, and commodity are transported
The defeated time is used as the property value in the 3rd other dimensionsAccording to above-mentioned formula, the vector of the specific commodity is calculated
Certainly, if having selected two or more property values in some or certain several other dimensions, can be for should
Specific object sets up two or more VID, then seek two or more VIDResultant vector, as representing that the specific object belongs to
The vector of property.For example, it is specific right as ID to represent certain identifier to have chosen two property values of return of goods phase and free warranty period
As the attribute in Service Properties dimension, then we can set up two vector V for the specific objectIDWith V 'ID.Wherein,In the Service Properties dimension as second other dimensions
On property valueTake free warranty period；Wherein make
For the property value in the Service Properties dimension of second other dimensions takes the return of goods phase；And then, seek two vector VIDWith V 'IDConjunction to
Amount, as the vector for finally representing the specific object.
For two specific objects that identifier is respectively ID1 and ID2, respective vectorial V is tried to achieveID1And VID2It
Afterwards；By the two vectorial VID1And VID2Inner product distance or COS distance as two specific objects apart from H.
For the specific object in each price range, it is possible to use K-means clustering algorithms, it is divided into some poly-
Class cluster, and the cluster central point and its cluster radius of wherein main clustering cluster are extracted, it is distributed as the Range Attributes of the price range special
Levy.Specifically, it is any to choose wherein K specific object for the specific object in any price range (K is predefined value)
As initial cluster central point；The distance between each specific object in the price range and each cluster central point are calculated, by each
Specific object is included into the corresponding clustering cluster of the cluster central point closest with its；After all specific objects are included into and finish,
The cluster central point of each clustering cluster is redefined, and judges the cluster central point for redefining whether there is change relative to former cluster central point
Change；If between each specific object calculated again if changing in the price range and the cluster central point for respectively redefining away from
From each specific object being included into the corresponding clustering cluster of the cluster central point closest with its, and redefine cluster again
Heart point simultaneously judges whether cluster central point changes；If the cluster central point for redefining is unchanged relative to former cluster central point, complete
Into cluster, the K clustering cluster being made up of specific object is obtained；The most N of the quantity containing specific object is chosen from K clustering cluster
Individual clustering cluster (N is less than K, e.g., N can be made to take 2-3), using this N number of clustering cluster as main clustering cluster, by the cluster of main clustering cluster
Heart point and its cluster radius (ultimate range i.e. in the clustering cluster between each specific object and cluster central point) are used as the price range
Corresponding object set Range Attributes distribution characteristics.As shown in figure 1, for price range P1, P2, P3, corresponding object set
It is G1, G2, G3, is that each determines Range Attributes distribution characteristics.
Step 6, each the price range corresponding objects set based on each the alternative objects type for being screened out
Range Attributes distribution characteristics, the ownership to the specific object in these object sets repartitions, and forms each standby
Attribute-the price range for selecting object type and the object set for belonging to each attribute-price range.Specifically, based on valency
The Range Attributes distribution characteristics of the corresponding object set G3 of lattice interval P3, judges every in price range P1, P2 corresponding G1, G2
Whether the distance between one specific object and the cluster central point of Range Attributes distribution characteristics as G3 are in the interval as G3
Within the cluster radius of property distribution feature；If for example, identifier is between the specific object and the cluster central point of G3 of ID1 in G2
Distance within the cluster radius of G3, then by the identifier for the specific object of ID1 is repartitioned to belonging to the corresponding objects of P3
Set G3；Analogously, it is corresponding right to P1 is belonged to the specific object that identifier in the corresponding G2 of P2 is ID2 to be repartitioned
As set G1；By identifier in the corresponding G3 of P3 for the specific object of ID3 is repartitioned to belonging to the corresponding object sets of P2
G2；By identifier in the corresponding G1 of P1 for the specific object of ID4 is repartitioned to belonging to the corresponding object set G2 of P2.Complete
Into for after the repartitioning of all specific objects ownership, for the new each object set G1 ' for being formed after repartitioning,
G2 ', G3 ', determine the price value distributed area P1 ' of specific object in each object set, P2 ', P3 ' and at least one its
Property value distributed area D1 ' in its dimension, D2 ', D3 '.The price value distributed area and attribute Distribution value of each object set
Interval attribute-price range collectively as the object set.For example, for this alternative objects type of GPS navigator, again
The price value distributed area of three object sets formed after division is adjusted to 205-380,275-415,370-499.For vapour
Car cushion, the price value distributed area of three object sets formed after repartitioning is adjusted to 55-120,90-220,195-
298。
Step 7, each attribute-price range for each alternative objects type and belongs to each attribute-valency
The interval object set of lattice, the price-attribute according to user tends to parameter, is the attribute-price range of each object set
The alternative specific object of generation, and on the premise of budget limit parameter is met, by the alternative of different alternative objects types
Specific object is combined and generates the compound object.
Tend to parameter using the preferential user of attribute for price-attribute, the collection is chosen in each object set
There is the specific object of optimum attributes value, alternately specific object on the property value distributed area of conjunction.For example, respectively D1 ',
The alternative specific object of property value optimal specific object S1, S2, S3 as each object set is chosen in D2 ', D3 '.When
When D1 ', D2 ', D3 ' only include property value (such as the only including the property value in self attributes dimension) in a dimension, then press
Size according to property value in the dimension carries out the determination of optimum attributes value.Work as D1 ', D2 ', D3 ' including in two or more dimensions
Property value when, according to priority ordered explained before, optimal specific right of the property value that is chosen in override dimension
As when specific object's property value is identical on two in override dimension or more, further according to property value in second priority dimension
Size chooses specific object.When two or more specific objects in each dimension that D1 ', D2 ', D3 ' are included property value
All same and when being optimal, then according to the price value of this specific object, arbitrarily select from the minimum specific object of price value
Take alternately specific object S1, S2, a S3.For example, for this alternative objects type of GPS navigator, it is excellent according to attribute
First, it is that the price value of alternative specific object S1, S2, S3 that three object sets are chosen respectively is respectively 285,350,455；Together
Reason, for automobile cushion, this alternative objects type is preferential according to attribute, is the alternative tool that three object sets are chosen respectively
Body object S1 ', S2 ', the price value of S3 ' are respectively 80,145,225.
For each selected alternative objects type, a sequence for type importance degree is pre-defined.For example, and vapour
In the middle of the set of the associated alternative objects type of car, the type importance degree highest of definable GPS navigator, the class of seat cushions
Type importance degree time is high, and the type importance degree of drive recorder is again.
Next, on the premise of budget limit parameter is met, by the alternative specific right of different alternative objects types
As being combined, and generate the compound object.Type importance degree highest and secondary two kinds of alternative objects types high are chosen first,
It is every in making each in alternative specific object S1, S2, the S3 under both types with alternative specific object S1 ', S2 ', S3 '
One carries out combination of two, and excludes the total price value of the compound object formed after combination and exceeded budget limit parameter 500
Situation, reservation meets the situation of budget limit parameter, including S1+S1 ', S1+S2 ', S2+S1 ', S2+S2 '.It is preferred in attribute
On the premise of, being chosen from the middle of the above-mentioned compound object for meeting budget limit parameter makes type importance degree highest alternative specific right
The optimal compound object of the property value of elephant, as the final optimum organization realized of the invention；If the combination of two or more
The alternative specific object's property value of type importance degree highest is identical in object, then continue to choose make type importance degree time high standby
Specific object's property value optimum combination object is selected, as the final optimum organization realized of the invention.
In another case, user of the parameter using price priority is tended to for price-attribute, in each object set
In be chosen on the price value distributed area of the set the specific object with lowest price value, alternately specific object.Example
Such as, price value minimum specific object S1, S2, S3 are chosen as the alternative of each object set in P1 ', P2 ', P3 ' respectively
Specific object.When price value all same of two or more specific objects on P1 ', P2 ', P3 ' and when being minimum, then from
Any one chosen in the minimum specific object of price value in the optimal specific object of wherein property value is alternately specific right
As S1, S2, S3.For example, being three object set difference according to price priority for this alternative objects type of GPS navigator
The price value of alternative specific object S1, S2, S3 for choosing is respectively 205,275,370；Similarly, for automobile cushion, this is standby
Object type is selected, is alternative specific object S1 ', S2 ', the price of S3 ' that three object sets are chosen respectively according to price priority
Value is respectively 55,90,195.
Next, on the premise of budget limit parameter is met, by the alternative specific right of different alternative objects types
As being combined, and generate the compound object.Type importance degree highest and secondary two kinds of alternative objects types high are chosen first,
It is every in making each in alternative specific object S1, S2, the S3 under both types with alternative specific object S1 ', S2 ', S3 '
One carries out combination of two, and excludes the total price value of the compound object formed after combination and exceeded budget limit parameter 500
Situation, reservation meets the situation of budget limit parameter, including S1+S1 ', S1+S2 ', S1+S3 ', S2+S1 ', S2+S2 ', S2+
S3’、S3+S1’、S3+S2’.On the premise of price priority, chosen from the middle of the above-mentioned compound object for meeting budget limit parameter
The compound object for making total price value minimum, for example, S1+S1 ' is used as the final optimum organization realized of the invention.Also, due to this
The minimum compound object S1+S1 ' of total price value still is below budget limit parameter, can continue to choose next type importance degree
Alternative objects type (i.e. drive recorder) according to alternative specific object determined by price priority, continue and S1+S1 ' pressed
It is combined according to the rule for making the compound object total price value after combination minimum, until in the premise of boundary condition that keeps within the budget
The compound object of lower specific object of the generation comprising alternative objects type as much as possible.
The present invention so there is provided a kind of pricing information optimum organization system of big data platform, as shown in Fig. 2 including：
Big data information bank 21 and pricing information optimum organization part 22；
The big data information bank 21 is used to be obtained from the network platform and stored to be tieed up in price on each specific object
The big data information of the state in price value and other dimensions on degree；
The pricing information optimum organization part 22 is used to obtain specific right on each from the big data information bank
As the big data information of the state in the price value in price dimension and other dimensions, and perform above-mentioned pricing information optimization
Combined method is to obtain compound object.
Above example is merely to illustrate the present invention, and not limitation of the present invention, about the common skill of technical field
Art personnel, without departing from the spirit and scope of the present invention, can also make a variety of changes and modification, therefore all etc.
Same technical scheme falls within scope of the invention, and scope of patent protection of the invention should be defined by the claims.
Claims (10)
1. a kind of pricing information optimum organization method, it is characterised in that comprise the following steps：
Step 1：Operation according to user in the network platform, triggers the generating process of compound object, and the compound object is in valency
Combination being optimized in lattice dimension and other dimensions, being made up of one group of specific object；Also, according to the operation of user, obtain
Obtain alternative objects type set；
Step 2, obtains each specific object under alternative objects type in price dimension from the big data information of the network platform
On price value, and each specific object is obtained from the big data information of the network platform at least one other dimension
State simultaneously quantifies to be converted to property value；
Step 3, obtains budget limit parameter and user price-attribute tends to parameter；
Step 4, for all specific price value of the object in price dimension under each alternative objects type, divides some
Price range；And according to the price value of each specific object, it is determined that belonging to the corresponding object set of each price range；Sieve
Select the price range of the alternative objects type of the budget limit parameter limitation for meeting user
Step 5, for each price range for each the alternative objects type for being screened out, analysis belongs to the price
Property value of the specific object of interval corresponding object set at least one other dimension, obtains each price range and mutually tackles
As the Range Attributes distribution characteristics gathered；
Step 6, the area of each the price range corresponding objects set based on each the alternative objects type for being screened out
Between property distribution feature, the ownership to the specific object in these object sets repartitions, and forms each alternative right
As type attribute-price range and belong to the object set of each attribute-price range；
Step 7, each attribute-price range for each alternative objects type and belongs to each attribute-price area
Between object set, price according to user-attribute tends to parameter, is attribute-price range generation of each object set
Alternative specific object, and on the premise of budget limit parameter is met, by the alternative specific of different alternative objects types
Object is combined and generates the compound object.
2. pricing information optimum organization method according to claim 1, it is characterised in that in step 1, triggers compound object
The operation of generating process include but is not limited to：Transactional operation of the user in the network platform performed by specific object, uses
Lock operation or information acquiring operation of the family in the network platform performed by specific object, user are directed in the network platform
Lock operation or information acquiring operation performed by certain object type, user's active request provide the behaviour that compound object is recommended
Make.
3. pricing information optimum organization method according to claim 1, it is characterised in that in step 2, described at least one
Property value in other dimensions is included but is not limited to：On property value, Service Properties dimension in the self attributes dimension of commodity
Property value, business on property value, transaction correlation time attribute dimensions and quantity attribute dimensions in property value, evaluation attributes dimension
Property value in the added value attribute dimensions of product transaction.
4. pricing information optimum organization method according to claim 1, it is characterised in that in step 2, when specific object tool
When having the two or more property values in one or more described other dimensions, there is the property value relative importance value to arrange
Sequence.
5. pricing information optimum organization method according to claim 1, it is characterised in that in step 5, each other dimension
As space coordinates, and using property value of the specific object in each other dimension as coordinate, so as to each is specific right
As the vectorial V for being characterized as being fastened in the space coordinatesID
Wherein subscript ID represents the identifier of a certain specific object；Represent first of the specific object beyond price dimension
Property value in other dimensions, w1The weighted value of first other dimensions is represented, weighted value is by property valuePriority ordered
Determine, priority ordered then weighted value more high is bigger,Represent coordinate of the specific object in first other dimensions
Value；Analogously,Represent the specific object beyond price dimension second, third until kth other dimension
Property value on degree, w2, w3...wkSecond, third is represented up to the weighted value of other dimensions of kth,The specific object is represented at second, third until coordinate value in kth other dimensions；
Would indicate that two vectorial V of specific objectID1And VID2Inner product distance or COS distance as two specific objects
Apart from H；
The distance between vector based on specific object, using K-means clustering algorithms by the tool in any price range
Body clustering objects and generate the Range Attributes distribution characteristics.
6. pricing information optimum organization method according to claim 5, it is characterised in that in step 5, for any price
Specific object on interval, it is any to choose wherein K specific object as initial cluster central point；Calculate in the price range
The distance between each specific object and each cluster central point, are included into the cluster central point closest with its corresponding by each specific object
Clustering cluster in；After all specific objects are included into and finish, the cluster central point of each clustering cluster is redefined, and judge weight
The new cluster central point for determining has unchanged relative to former cluster central point；Calculate each tool in the price range again if changing
The distance between body object and the cluster central point for respectively redefining, the cluster center closest with it is included into by each specific object
In the corresponding clustering cluster of point, and cluster central point is redefined again and judges whether cluster central point changes；If redefining
Cluster central point is unchanged relative to former cluster central point, then complete cluster, obtains the K clustering cluster being made up of specific object；From K
The most N number of clustering cluster of the quantity containing specific object is chosen in clustering cluster, using this N number of clustering cluster as main clustering cluster, by master
The cluster central point and its cluster radius of clustering cluster are wanted as the Range Attributes distribution characteristics of the price range corresponding object set.
7. pricing information optimum organization method according to claim 1, it is characterised in that in step 6, judge each price
Each specific object in interval corresponding object set is special with the Range Attributes distribution of other price range corresponding object set
Levy and whether match, repartition to belonging to corresponding to other price range corresponding object set the specific object if matching
Object set, the object set after repartitioning is used as the object set for belonging to each attribute-price range.
8. pricing information optimum organization method according to claim 1, it is characterised in that in step 6, completes to be directed to institute
Have after the repartitioning of specific object ownership, for the new each object set for being formed after repartitioning, determine each object
The price value distributed area of the specific object in set and the property value distributed area at least one other dimension, each is right
As gather price value distributed area and property value distributed area collectively as the object set attribute-price range.
9. pricing information optimum organization method according to claim 1, it is characterised in that in step 7, for price-category
Property tend to parameter using the preferential user of attribute, be chosen in each object set on the property value distributed area of the set
Specific object with optimum attributes value, alternately specific object；On the premise of budget limit parameter is met, by not
It is combined with the alternative specific object of alternative objects type, and generates the compound object；Tend to parameter for price-attribute
Using the user of price priority, being chosen in each object set has lowest price on the price value distributed area of the set
The specific object of lattice value, alternately specific object, on the premise of budget limit parameter is met, by different alternative objects
The alternative specific object of type is combined, and generates the compound object.
10. the pricing information optimum organization system of a kind of big data platform, including：Big data information bank and pricing information optimize
Combiner；
The big data information bank is used to obtain and store on each specific object in price dimension from the network platform
The big data information of the state in price value and other dimensions；
The pricing information optimum organization part is used to be obtained on each specific object in valency from the big data information bank
The big data information of the state in price value and other dimensions in lattice dimension, and perform above-mentioned any one claim institute
The pricing information optimum organization method stated is to obtain compound object.
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| CN107391728A (en) * | 2017-08-02 | 2017-11-24 | 北京京东尚科信息技术有限公司 | Data digging method and data mining device |
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