CN109685573A - A kind of processing method, device, electronic equipment and the storage medium of commercial circle data - Google Patents
A kind of processing method, device, electronic equipment and the storage medium of commercial circle data Download PDFInfo
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Abstract
The present embodiments relate to data analysis fields, disclose processing method, device, electronic equipment and the storage medium of a kind of commercial circle data.In the present invention, the processing method of commercial circle data, comprising: receive analysis request, the analysis request carries class of subscriber and the affiliated commercial circle of user；Corresponding analysis result is obtained according to the class of subscriber and the affiliated commercial circle of the user；The analysis is fed back as a result, adapting to the demand of different classes of user group, and personality analysis result is provided.
Description
Technical field
The present invention relates to data analysis field, in particular to a kind of processing method of commercial circle data, device, electronic equipment and
Storage medium.
Background technique
In this current big data era, for the single report of specific transactions scene line number be even up to it is billions of
Rank, in online service industry, demand of the different clients to data be it is different, merchant end is to order volume, flow etc.
Compare sensitive, and customer end is more sensitive to price, taste etc., and again to pressurization pressure is matched, dispatching complexity etc. compares at logistics end
Sensitivity, this just needs to take out platform can be to different user end transparent transmission different data.
Inventor's discovery: most common technology is data billboard, is exactly the integration by data, to different uses
Side shows the data that they are concerned about.Then the dimension of billboard is all the dimensions such as time, city, crowd, trade company's classification mostly,
It is excessively macroscopical, the data application in practical commercial circle can not be instructed.
Summary of the invention
It a kind of processing method for being designed to provide commercial circle data of embodiment of the present invention, device, electronic equipment and deposits
Storage media adapts to the demand of different classes of user group, provides personality analysis result.
In order to solve the above technical problems, embodiments of the present invention provide a kind of processing method of commercial circle data, comprising:
Analysis request is received, the analysis request carries class of subscriber and the affiliated commercial circle of user；According to the class of subscriber and the use
The affiliated commercial circle in family obtains corresponding analysis result；Feed back the analysis result.
Embodiments of the present invention additionally provide a kind of processing unit of commercial circle data, comprising: receiving module, for receiving
Analysis request, the analysis request carry class of subscriber and the affiliated commercial circle of user；Module is obtained, for according to the class of subscriber
Corresponding analysis result is obtained with the affiliated commercial circle of the user；Sending module, for feeding back the analysis result.
Embodiments of the present invention additionally provide a kind of electronic equipment, comprising: at least one processor；And with it is described
The memory of at least one processor communication connection；Wherein, the memory, which is stored with, to be held by least one described processor
Capable instruction, described instruction are executed by least one described processor, so that at least one described processor is able to carry out: being received
Analysis request, the analysis request carry class of subscriber and the affiliated commercial circle of user；According to the class of subscriber and user institute
Belong to commercial circle and obtains corresponding analysis result；Feed back the analysis result.
Embodiments of the present invention additionally provide a kind of non-volatile memory medium, for storing computer-readable program,
Computer-readable program is used to execute the processing method of commercial circle data as described above for computer.
In terms of existing technologies, the main distinction and its effect are embodiment of the present invention: asking receiving analysis
After asking, analysis is got according to the user list carried in analysis request and the affiliated commercial circle of user as a result, to feed back acquisition again
Analysis result.The available different analysis of different classes of user group is realized as a result, meeting different user group's sensitive data
Different actual conditions adapt to the actual demand of different user classification, to provide personality analysis result.
As a further improvement, the analysis result is obtained according to following manner: the trade company of the first commercial circle belonging to obtaining
Order data in scene tag and first commercial circle；According to the scene tag to each Merchant Category；Summarize same point
The order data of trade company under class；The order data after summarizing is analyzed according to preset analysis strategy, obtains described the
The analysis result of one commercial circle.Using the Merchant Category that scene tag is in a commercial circle, and further summarize ordering under same classification
Forms data is made a concrete analysis of according to summarized results, to obtain the analysis result to the commercial circle.
As a further improvement, different analysis strategies corresponds to different class of subscribers there are many analysis strategies；Institute
It states and the order data after summarizing is analyzed according to preset analysis strategy, comprising: according in the analysis request
Class of subscriber determines analysis strategy；The order data summarized out is analyzed according to identified analysis strategy.For different use
Different analysis strategies is arranged in family classification, to guarantee to accurately obtain the corresponding analysis result of all types of user.
As a further improvement, it is described according to the scene tag to each Merchant Category before, further includes: obtain institute
Belong to the order data of the trade company with same scene label of other commercial circles；It is described according to scene tag to each Merchant Category
In, specifically: according to scene tag to each trade company of affiliated first commercial circle and each trade company point of other affiliated commercial circles
Class.When carrying out data analysis, in the data of the affiliated other trade company of one kind, other commercial circles are added has with scene tag
Merchant data promotes precision of analysis so that the data sample for participating in analysis is more.
As a further improvement, including: that the scene tag of the trade company is obtained according to following methods: extracting in the commercial circle
Order data characteristic parameter；Analyze the characteristic of the characteristic parameter of the order data in the commercial circle；It is tied according to analysis
Fruit determines the scene tag of the trade company.Data analysis is carried out according to scheduled characteristic parameter, thus according to characteristic parameter institute
The characteristic of performance obtains the scene tag of trade company, is more close to the users demand using scene tag to Merchant Category.
As a further improvement, the characteristic parameter are as follows: space coordinate, time or category.Specify specific characteristic parameter.
As a further improvement, the characteristic of the characteristic parameter of the order data in the analysis commercial circle, comprising: seek
The entropy of the characteristic parameter of the order data；The feature ginseng of the order data in the commercial circle is determined according to the entropy
Several characteristics.The characteristic that characteristic parameter is showed is obtained using the method for seeking entropy, it is more scientific accurate.
As a further improvement, being ordered in the scene tag of the trade company of the first commercial circle belonging to the acquisition and first commercial circle
Before forms data, further includes: collect order data and the affiliated commercial circle of each order；According to the space coordinate of each commercial circle and subordinate
Order carries out commercial circle merging, and first commercial circle is one of the commercial circle after merging.Space coordinate and subordinate with specific reference to commercial circle
Order carries out commercial circle merging, realizes duplicate removal, the desensitization of commercial circle, reduces the commercial circle quantity after merging, reduce aggregate analysis number.
As a further improvement, the affiliated commercial circle of user, is closed according to the position of the user present position and each commercial circle
System determines.The method of determination of commercial circle belonging to clear.
As a further improvement, the class of subscriber includes: trade company, customer, logistics and platform.Specify the classification of user.
As a further improvement, the class of subscriber that the analysis request carries is trade company, the analysis result is included at least:
Merchandise planning suggestion.
As a further improvement, described obtain corresponding analysis result according to class of subscriber and the affiliated commercial circle of the user
In, comprising: corresponding analysis result is searched from system according to the class of subscriber and the affiliated commercial circle of the user.It can be pre-
Mr. is stored in system at analysis result, for directly searching acquisition after receiving analysis request, accelerates acquisition speed.
Detailed description of the invention
Fig. 1 is the flow chart of the processing method of the commercial circle data in first embodiment according to the present invention；
Fig. 2 is the acquisition pattern for analyzing result in the processing method of the commercial circle data in second embodiment according to the present invention
Flow chart；
Fig. 3 is the acquisition pattern of scene tag in the processing method of the commercial circle data in second embodiment according to the present invention
Flow chart；
Fig. 4 is the acquisition pattern for analyzing result in the processing method of the commercial circle data in third embodiment according to the present invention
Flow chart；
Fig. 5 is the schematic diagram of the processing unit of the commercial circle data in the 4th embodiment according to the present invention；
Fig. 6 is the electronic devices structure schematic diagram in the 5th embodiment according to the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with attached drawing to the present invention
Each embodiment be explained in detail.However, it will be understood by those skilled in the art that in each embodiment party of the present invention
In formula, in order to make the reader understand this application better, many technical details are proposed.But even if without these technical details
And various changes and modifications based on the following respective embodiments, the application technical solution claimed also may be implemented.
The first embodiment of the present invention is related to a kind of processing method of commercial circle data, present embodiment can be applied at end
End side is such as applied in mobile phone, the electronic equipments such as tablet computer, can also be applied in the server of network side, detailed process
As shown in Figure 1, comprising:
Step 101, analysis request is received.
Specifically, analysis request can be issued by user input instruction, also be can be set and issued by application is automatic.Such as,
It is equipped with the button for receiving analysis report in certain interface of application, when user clicks the button, sends analysis request, it is corresponding
, electronic equipment receives analysis request；For another example, when setting application is opened for the first time daily, analysis request is sent automatically, then using
When opening the application program for the first time daily, triggering sends analysis request at family, and corresponding, electronic equipment receives analysis request.
It continues to explain, analysis request carries class of subscriber, and class of subscriber may include: trade company, customer, logistics and platform.
Wherein, trade company such as eating and drinking establishment, massage parlor etc., logistics such as jockey, the person of sending with charge free etc..
More specifically, analysis request carries the affiliated commercial circle of user, it specifically can be according to user present position and each commercial circle
Positional relationship determine its commercial circle, such as using with the nearest commercial circle in user present position as the affiliated commercial circle of user.
It needs to continue to explain, the commercial circle in present embodiment is avoided as far as possible according to certain compatible rule merging by commercial circle weight
The unclear situation in the affiliated commercial circle of user caused by folded.Wherein, what rule when commercial circle merges can report respectively according to commercial circle
Order data merges, and in the order data reported respectively such as two commercial circles, repetitive rate is more than certain proportion, so that it may determine two
The practical registration in commercial circle is very high, thus the data after merging using the richer commercial circle of order data as two commercial circles；For another example
The space coordinate difference of two commercial circles is less than certain threshold value, can also determine that the distance of two commercial circles is very close, thus with two
The order data that commercial circle reports does duplicate removal after union, determines the order data of the commercial circle after merging.
Step 102, corresponding analysis result is obtained according to class of subscriber and the affiliated commercial circle of user.
In present embodiment, data analysis can be carried out as unit of commercial circle, obtain analysis result.Wherein, different use
Family classification can correspond to different analysis strategies, according to the analysis strategy that class of subscriber determines, obtain the analysis knot of affiliated commercial circle
Fruit.
Specifically, class of subscriber is trade company, and analysis result includes at least: merchandise planning suggestion can also include this quotient
Circle customer demand higher period and corresponding order volume, this higher category of commercial circle customer demand, this commercial circle are respectively classified trade company's ratio
Deng actual analysis result can be arranged according to actual needs, it is not limited here.
More specifically, analysis result can pre-generate, it is stored in system, different points such as is carried out to a commercial circle in advance
Analyse the analysis of strategy, obtain multiple analyses of corresponding different user classification as a result, and store respectively, analysis result can also be formed
Library.Then, after receiving analysis request, corresponding analysis knot is searched from system according to class of subscriber and the affiliated commercial circle of user
Fruit.
Step 103, feedback analysis result.
Specifically, the analysis result obtained in step 102 is fed back into user, the terminal of user is such as fed back to, by end
End is shown.
More specifically, terminal can also handle out various types of answer after receiving analysis result based on the analysis results
Use data.By user be customer for, terminal receive analysis result after, can also based on the analysis results in this commercial circle sell fast
Single-item carries out single-item recommendation for user.
It continues to explain, terminal can also first keep in, carry out again when user needs to consult later after obtaining analysis result
It shows.
In terms of existing technologies, the main distinction and its effect are present embodiment: after receiving analysis request,
Analysis is got according to the user list carried in analysis request and the affiliated commercial circle of user as a result, to feed back the analysis of acquisition again
As a result.The available different analyses of different classes of user group are realized as a result, to meet different user group's sensitive data different
Actual conditions adapt to the actual demand of different user classification, to provide personality analysis result.
Second embodiment of the present invention is related to a kind of processing method of commercial circle data, and present embodiment further clarifies
Analyze the acquisition pattern of result.
Detailed process such as Fig. 2 institute of the acquisition pattern of result is analyzed in present embodiment in the processing method of commercial circle data
Show, comprising:
Step 201, order data in the scene tag of the trade company of the first commercial circle belonging to obtaining and the first commercial circle.
Specifically, order data may include all orders of the first commercial circle of subordinate, and obtain placing an order in each order
The data such as time, consumer products, spending amount.
It continues to explain, trade company can be classified in present embodiment with scene tag, and scene tag therein can be with such as Fig. 3
Shown in mode obtain, it is specific as follows:
Step 301, the characteristic parameter of the order data in commercial circle is extracted.
Specifically, the characteristic parameter of required extraction can be preset, such as space coordinate, time or category, required extraction
Characteristic parameter can be one, be also possible to it is multiple, if the characteristic parameter more than one of required extraction, can extract respectively,
It is subsequent to analyze respectively.
Step 302, the characteristic of the characteristic parameter of the order data in commercial circle is analyzed.
Specifically, when analyzing the characteristic of characteristic parameter, the entropy of the characteristic parameter of order data specifically can first be sought
Value, the characteristic of the characteristic parameter of the order data in commercial circle is determined further according to entropy.
By taking characteristic parameter is category as an example, the calculation formula of category entropy are as follows:
Period_entropy=sigma ((- 1) * ratei*log(ratei))；
Wherein, it sums for multiple categories, ratei=i-th category order volume/blanket order amount.
Specifically, the blanket order amount in above-mentioned formula or certain category order volume can be in obtaining commercial circle when order data
It calculates spare.
It continues to explain, entropy is bigger, i.e., period_entropy is bigger, indicates that the category distribution of order more disperses, conversely, more
It concentrates.The characteristic of category is determined further according to entropy later, if calculating the barbecue category data minimum that entropy is used, that is, roasts product
Corresponding (- 1) the * rate*log (rate) of class is minimum, illustrates that the order volume for roasting category in order is maximum, may thereby determine that this
It is higher that the specific gravity to be placed an order is roasted in commercial circle, characteristic, which can be, to be liked roasting category.If each category data are all not much different, say
The order volume of each category is more average in bright order, and characteristic can be all kinds of product all preferred either without prominent hobby
Class.
By taking characteristic parameter is the time as an example, the calculation formula of time entropy are as follows:
Period_entropy=sigma ((- 1) * ratei*log(ratei))；
Wherein, it sums for 5 periods (such as: breakfast, lunch, afternoon tea, dinner, food), ratei=i-th
Period order volume/blanket order amount.
Likewise, entropy is bigger, indicate that the period distribution of order more disperses, conversely, more concentrating.It is determined later further according to entropy
The characteristic of period, if calculating period at noon (lunch) data minimum that entropy is used, i.e. corresponding (- 1) * of afternoon hours
Rate*log (rate) is minimum, illustrates that the order volume of lunch in order is maximum, may thereby determine that in the commercial circle lunch at present
Single specific gravity is higher, and characteristic can be lunch.If day part numerical value is all not much different, illustrate the order volume of day part in order
More average, it is all relatively average that characteristic can be day part.
Step 303, the scene tag of trade company is determined based on the analysis results.
Specifically, the scene tag of trade company can be determined according to the feature of characteristic parameter.It include sky with characteristic parameter
Between coordinate and for the time, the scene tag of trade company, the field listed in following table can be determined according to the corresponding relationship in following table
Scape label may be arranged as other in practical application as example.
| Commercial circle | Time | |||
| Space coordinate | Breakfast | Lunch | Dinner | Food |
| Residential quarter | Resident's breakfast | Weekend resident's lunch | Working day resident's dinner | Resident's food |
| Lou Dong | White collar breakfast | Working day white collar lunch | White collar dinner | White collar food |
| School | —— | Student lunch | Student's dinner | Student's food |
| Market | Market employee's breakfast | Working day market employee lunch | Market employee's dinner | Market employee's food |
| Hospital | Hospital's breakfast | Hospital's lunch | Hospital's dinner | —— |
| Hotel | It spends a holiday/goes on business breakfast | Working day lunch | It spends a holiday/goes on business dinner | It spends a holiday/goes on business food |
| Industrial zone | Industrial zone breakfast | Scientific and technological employee's lunch | —— | —— |
| Company | Company personnel's breakfast | Company personnel's lunch | —— | —— |
It can determine that the corresponding scene tag of each trade company according to the corresponding relationship in upper table.
It continues to explain, it, can be according to commercial circle in difference after listing scene tag possible in commercial circle in practical application
Order accounting under scene, to conclude scene properties possessed by commercial circle, such as: being accounted for according to order of the commercial circle under different scenes
Than, obtain working day white collar lunch, scientific and technological employee's lunch, company personnel's lunch, white collar food account for it is relatively high, to obtain this
A little scenes are the high field scape of the commercial circle.
Through the above steps 301 to 303, it can be implemented as the determination that commercial circle Zhong Ge trade company carries out scene tag.
It should also be noted that, the first commercial circle in present embodiment step 201 is also the commercial circle after merging, it is specific to merge
Mode, which can be such that, collects order data and the affiliated commercial circle of each order；It is carried out according to the space coordinate of each commercial circle and subordinate's order
Commercial circle merges, wherein the first commercial circle is one of the commercial circle after merging.Specifically, the commercial circle in present embodiment is according to certain
Compatible rule merging, the situation for avoiding the affiliated commercial circle of user caused by being overlapped as commercial circle unclear as far as possible.Wherein, rule when commercial circle merges
It can then be merged according to the order data that commercial circle reports respectively, the merging rule in specific and first embodiment is similar,
This is repeated no more.
Step 202, according to scene tag to each Merchant Category.
Step 203, summarize the order data of the trade company under same classification.
Specifically, step 202 to being summarized each Merchant Category with scene tag in 203 again, the trade company under each classification
Corresponding customer is similar, and the trade company under each classification can be rival, data of each trade company for rival
It is more sensitive, so according to the sorted analysis of scene tag as a result, more having reference value to trade company.
Step 204, the order data after summarizing is analyzed according to preset analysis strategy, obtains point of the first commercial circle
Analyse result.
Specifically, a variety of analysis strategies can be set, different analysis strategies corresponds to different class of subscribers.
In practical application, each commercial circle can preset a kind of analysis strategy, can also be a kind of point all default for similar trade company
Analysis strategy, it is not limited here.
As it can be seen that present embodiment is the Merchant Category in a commercial circle using scene tag, and further summarize same classification
Under order data, made a concrete analysis of according to summarized results, to obtain the analysis result to the commercial circle.
Third embodiment of the present invention is related to a kind of processing method of commercial circle data.
Detailed process such as Fig. 4 institute of the acquisition pattern of result is analyzed in present embodiment in the processing method of commercial circle data
Show, comprising:
Step 401 is similar with the step 201 in second embodiment, and details are not described herein.
Step 402, the order data of the trade company with same scene label of other commercial circles belonging to obtaining.
Specifically, one or more commercial circles can be chosen around commercial circle to be analyzed, it specifically can be remote according to distance
It is close to choose, the order data in selected commercial circle is added in the order data of commercial circle to be analyzed, enriches commercial circle to be analyzed
Data volume, so that analysis result is more accurate.
Step 403, according to scene tag to each Merchant Category.
Specifically, each trade company in present embodiment according to scene tag to affiliated first commercial circle and other affiliated commercial circles
Each Merchant Category.
Step 404 to 405 with the step 203 in second embodiment to 204 similar, details are not described herein.
As it can be seen that in the data of the affiliated other trade company of one kind, it is same that having for other commercial circles is added when carrying out data analysis
The merchant data of scene tag promotes precision of analysis so that the data sample for participating in analysis is more.
4th embodiment of the invention is related to a kind of processing unit of commercial circle data, as shown in Figure 5, comprising:
Receiving module, for receiving analysis request, analysis request carries class of subscriber and the affiliated commercial circle of user.
Module is obtained, for obtaining corresponding analysis result according to class of subscriber and the affiliated commercial circle of user.
Sending module is used for feedback analysis result.
In terms of existing technologies, the main distinction and its effect are present embodiment: after receiving analysis request,
Analysis is got according to the user list carried in analysis request and the affiliated commercial circle of user as a result, to feed back the analysis of acquisition again
As a result.The available different analyses of different classes of user group are realized as a result, to meet different user group's sensitive data different
Actual conditions adapt to the actual demand of different user classification, to provide personality analysis result.
It is not difficult to find that present embodiment is Installation practice corresponding with first embodiment, present embodiment can be with
First embodiment is worked in coordination implementation.The relevant technical details mentioned in first embodiment still have in the present embodiment
Effect, in order to reduce repetition, which is not described herein again.Correspondingly, the relevant technical details mentioned in present embodiment are also applicable in
In first embodiment.
In one example, analysis result with lower module by being obtained:
Second obtains module, order numbers in the scene tag and the first commercial circle for obtaining the trade company of affiliated first commercial circle
According to.
Categorization module is used for according to scene tag to each Merchant Category.
Summarizing module, for summarizing the order data of the trade company under same classification.
First analysis module obtains for analyzing according to preset analysis strategy the order data after summarizing
The analysis result of one commercial circle.
In one example, there are many analysis strategies, different analysis strategies corresponds to different class of subscribers；First analysis
Module, comprising:
First determines submodule, for determining analysis strategy according to the class of subscriber in analysis request.
Submodule is analyzed, for analyzing according to identified analysis strategy the order data summarized out.
In one example, device further include:
Third obtains module, the order data of the trade company with same scene label for obtaining other affiliated commercial circles.
Categorization module, with specific reference to scene tag to each trade company of affiliated first commercial circle and each trade company of other affiliated commercial circles
Classification.
In one example, device further include: the scene tag of trade company is obtained according to lower module:
Extraction module, for extracting the characteristic parameter of the order data in commercial circle.
Second analysis module, the characteristic of the characteristic parameter for analyzing the order data in commercial circle.
Determining module, for determining the scene tag of trade company based on the analysis results.
In one example, characteristic parameter are as follows: space coordinate, time or category.
In one example, the second analysis module, comprising:
Entropy submodule is sought, the entropy of the characteristic parameter for seeking order data.
Second determines submodule, the characteristic of the characteristic parameter for determining the order data in commercial circle according to entropy.
In one example, further includes:
Collection module, for collecting order data and the affiliated commercial circle of each order.
Carry out commercial circle merging according to the space coordinate of each commercial circle and subordinate's order, the first commercial circle be commercial circle after merging it
One.
In one example, the affiliated commercial circle of user is determined according to the positional relationship of user present position and each commercial circle.
In one example, class of subscriber includes: trade company, customer, logistics and platform.
In one example, the class of subscriber that analysis request carries is trade company, and analysis result includes at least: merchandise planning is built
View.
In one example, first module is obtained, is searched from system with specific reference to class of subscriber and the affiliated commercial circle of user
Corresponding analysis result.
It is noted that each module involved in present embodiment is logic module, and in practical applications, one
A logic unit can be a physical unit, be also possible to a part of a physical unit, can also be with multiple physics lists
The combination of member is realized.In addition, in order to protrude innovative part of the invention, it will not be with solution institute of the present invention in present embodiment
The technical issues of proposition, the less close unit of relationship introduced, but this does not indicate that there is no other single in present embodiment
Member.
5th embodiment of the invention is related to a kind of electronic equipment.
As shown in fig. 6, the electronic equipment includes: at least one processor 601；And it is logical at least one processor 601
Believe the memory 602 of connection；And the communication component 603 with scanning means communication connection, communication component 603 is in processor 601
Control under send and receive data；Wherein, memory 602 is stored with the instruction that can be executed by least one processor 601, refers to
It enables and being executed by least one processor 601 to realize:
Extract query task present in application.
Setting timer is periodically executed query task and caching query results.
Inquiry instruction is received, includes query task in inquiry instruction.
In response to query task, the corresponding query result of inquiry instruction is determined according to query task and buffered results.
Specifically, which includes: one or more processors 601 and memory 602, at one in Fig. 6
For reason device 601.Processor 601, memory 602 can be connected by bus or other modes, to be connected by bus in Fig. 6
It is connected in example.Memory 602 is used as a kind of non-volatile computer readable storage medium storing program for executing, can be used for storing non-volatile software journey
Sequence, non-volatile computer executable program and module.Processor 601 by operation storage in the memory 602 it is non-easily
The property lost software program, instruction and module realize above-mentioned quotient thereby executing the various function application and data processing of equipment
Enclose the processing method of data.
Memory 602 may include storing program area and storage data area, wherein storing program area can store operation system
Application program required for system, at least one function；It storage data area can the Save option list etc..In addition, memory 602 can be with
It can also include nonvolatile memory, for example, at least disk memory, a flash memory including high-speed random access memory
Device or other non-volatile solid state memory parts.In some embodiments, it includes relative to processing that memory 602 is optional
The remotely located memory of device 601, these remote memories can pass through network connection to external equipment.The example of above-mentioned network
Including but not limited to internet, intranet, local area network, mobile radio communication and combinations thereof.
One or more module stores in the memory 602, when being executed by one or more processor 601, holds
The processing method of commercial circle data in the above-mentioned any means embodiment of row.
The said goods can be performed the application embodiment provided by method, have the corresponding functional module of execution method and
Beneficial effect, the not technical detail of detailed description in the present embodiment, reference can be made to method provided by the application embodiment.
Sixth embodiment of the invention is related to a kind of non-volatile memory medium, for storing computer-readable program,
Computer-readable program is used to execute above-mentioned all or part of embodiment of the method for computer.
That is, it will be understood by those skilled in the art that implement the method for the above embodiments be can be with
Relevant hardware is instructed to complete by program, which is stored in a storage medium, including some instructions are to make
It obtains an equipment (can be single-chip microcontroller, chip etc.) or processor (processor) executes each embodiment method of the application
All or part of the steps.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only
Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. are various can store journey
The medium of sequence code.
It will be understood by those skilled in the art that the respective embodiments described above are to realize specific embodiments of the present invention,
And in practical applications, can to it, various changes can be made in the form and details, without departing from the spirit and scope of the present invention.
The application embodiment provides a kind of processing method of commercial circle data of A1., comprising:
Analysis request is received, the analysis request carries class of subscriber and the affiliated commercial circle of user；
Corresponding analysis result is obtained according to the class of subscriber and the affiliated commercial circle of the user；
Feed back the analysis result.
A2. the processing method of commercial circle data according to a1, the analysis result are obtained according to following manner:
Order data in the scene tag of the trade company of first commercial circle belonging to obtaining and first commercial circle；
According to the scene tag to each Merchant Category；
Summarize the order data of the trade company under same classification；
The order data after summarizing is analyzed according to preset analysis strategy, obtains the analysis knot of first commercial circle
Fruit.
A3. the processing method of the commercial circle data according to A2, there are many analysis strategies, different analysis strategies pair
Answer different class of subscribers；
It is described that the order data after summarizing is analyzed according to preset analysis strategy, comprising:
Analysis strategy is determined according to the class of subscriber in the analysis request；
The order data summarized out is analyzed according to identified analysis strategy.
A4. the processing method of the commercial circle data according to A2, it is described that each trade company is divided according to the scene tag
Before class, further includes:
The order data of the trade company with same scene label of other commercial circles belonging to obtaining；
It is described according to scene tag in each Merchant Category, specifically:
According to scene tag to each trade company of affiliated first commercial circle and each Merchant Category of other affiliated commercial circles.
A5. the processing method of the commercial circle data according to A2, comprising: the scene tag of the trade company is according to following methods
It obtains:
Extract the characteristic parameter of the order data in the commercial circle；
Analyze the characteristic of the characteristic parameter of the order data in the commercial circle；
The scene tag of the trade company is determined based on the analysis results.
A6. the processing method of commercial circle data according to a5, the characteristic parameter are as follows: space coordinate, time or category.
A7. the processing method of commercial circle data according to a5, the feature for analyzing the order data in the commercial circle
The characteristic of parameter, comprising:
Seek the entropy of the characteristic parameter of the order data；
The characteristic of the characteristic parameter of the order data in the commercial circle is determined according to the entropy.
A8. the processing method of the commercial circle data according to A2, the scene mark of the trade company of the first commercial circle belonging to the acquisition
In label and first commercial circle before order data, further includes:
Collect order data and the affiliated commercial circle of each order；
Commercial circle merging is carried out according to the space coordinate of each commercial circle and subordinate's order, first commercial circle is after merging
One of commercial circle.
A9. the processing method of commercial circle data according to a1, the affiliated commercial circle of user, according to position locating for the user
It sets and is determined with the positional relationship of each commercial circle.
A10. the processing method of commercial circle data according to a1, the class of subscriber include: trade company, customer, logistics and
Platform.
A11. the processing method of commercial circle data according to a1, the class of subscriber that the analysis request carries are trade company,
The analysis result includes at least: merchandise planning suggestion.
A12. the processing method of commercial circle data according to a1, it is described according to class of subscriber and the affiliated commercial circle of the user
It obtains in corresponding analysis result, comprising:
Corresponding analysis result is searched from system according to the class of subscriber and the affiliated commercial circle of the user.
Embodiment further provides a kind of processing units of commercial circle data of B13. by the application, comprising:
Receiving module, for receiving analysis request, the analysis request carries class of subscriber and the affiliated commercial circle of user；
First obtains module, ties for obtaining corresponding analysis according to the class of subscriber and the affiliated commercial circle of the user
Fruit；
Sending module, for feeding back the analysis result.
B14. the processing unit of commercial circle data according to b13, the analysis result with lower module by being obtained:
Second obtains module, order in the scene tag and first commercial circle for obtaining the trade company of affiliated first commercial circle
Data；
Categorization module is used for according to the scene tag to each Merchant Category；
Summarizing module, for summarizing the order data of the trade company under same classification；
First analysis module obtains institute for analyzing according to preset analysis strategy the order data after summarizing
State the analysis result of the first commercial circle.
B15. the processing unit of commercial circle data according to b14, there are many analysis strategies, different analysis strategies
Corresponding different class of subscriber；
First analysis module, comprising:
First determines submodule, for determining analysis strategy according to the class of subscriber in the analysis request；
Submodule is analyzed, for analyzing according to identified analysis strategy the order data summarized out.
B16. the processing unit of commercial circle data according to b14, further includes:
Third obtains module, the order data of the trade company with same scene label for obtaining other affiliated commercial circles；
The categorization module, each trade company and other affiliated commercial circles with specific reference to scene tag to affiliated first commercial circle
Each Merchant Category.
B17. the processing unit of commercial circle data according to b14, comprising: the scene tag of the trade company is according to lower die
Block obtains:
Extraction module, for extracting the characteristic parameter of the order data in the commercial circle；
Second analysis module, the characteristic of the characteristic parameter for analyzing the order data in the commercial circle；
Determining module, for determining the scene tag of the trade company based on the analysis results.
B18. the processing unit of the commercial circle data according to B17, the characteristic parameter are as follows: space coordinate, time or product
Class.
B19. the processing unit of the commercial circle data according to B17, second analysis module, comprising:
Entropy submodule is sought, the entropy of the characteristic parameter for seeking the order data；
Second determines submodule, for determining the characteristic parameter of the order data in the commercial circle according to the entropy
Characteristic.
B20. the processing unit of commercial circle data according to b14, further includes:
Collection module, for collecting order data and the affiliated commercial circle of each order；
Commercial circle merging is carried out according to the space coordinate of each commercial circle and subordinate's order, first commercial circle is after merging
One of commercial circle.
B21. the processing unit of commercial circle data according to b13, the affiliated commercial circle of user, according to locating for the user
The positional relationship of position and each commercial circle determines.
B22. the processing unit of commercial circle data according to b13, the class of subscriber include: trade company, customer, logistics and
Platform.
B23. the processing unit of commercial circle data according to b13, the class of subscriber that the analysis request carries are trade company,
The analysis result includes at least: merchandise planning suggestion.
B24. the processing unit of commercial circle data according to b13, described first obtains module, with specific reference to the user
Corresponding analysis result is searched in classification and the affiliated commercial circle of the user from system.
Embodiment further provides C25. a kind of electronic equipment by the application, comprising:
At least one processor；And
The memory being connect at least one described processor communication；Wherein,
The memory is stored with the instruction that can be executed by least one described processor, and described instruction is by described at least one
A processor executes, so that at least one described processor is able to carry out:
Analysis request is received, the analysis request carries class of subscriber and the affiliated commercial circle of user；
Corresponding analysis result is obtained according to the class of subscriber and the affiliated commercial circle of the user；
Feed back the analysis result.
C26. the electronic equipment according to C25, described instruction are executed by least one described processor so that it is described extremely
A few processor is able to carry out the processing method of the commercial circle data as described in any one of above-mentioned A2 to A12.
Embodiment further provides a kind of non-volatile memory mediums of D27. by the application, for storing computer-readable journey
Sequence, computer-readable program are used to execute the processing method of the commercial circle data as described in any one of A1 to A12 for computer.
Claims (10)
1. a kind of processing method of commercial circle data characterized by comprising
Analysis request is received, the analysis request carries class of subscriber and the affiliated commercial circle of user；
Corresponding analysis result is obtained according to the class of subscriber and the affiliated commercial circle of the user；
Feed back the analysis result.
2. the processing method of commercial circle data according to claim 1, which is characterized in that the analysis result is according to lower section
Formula obtains:
Order data in the scene tag of the trade company of first commercial circle belonging to obtaining and first commercial circle；
According to the scene tag to each Merchant Category；
Summarize the order data of the trade company under same classification；
The order data after summarizing is analyzed according to preset analysis strategy, obtains the analysis result of first commercial circle.
3. the processing method of commercial circle data according to claim 2, which is characterized in that there are many analysis strategies, no
Same analysis strategy corresponds to different class of subscribers；
It is described that the order data after summarizing is analyzed according to preset analysis strategy, comprising:
Analysis strategy is determined according to the class of subscriber in the analysis request；
The order data summarized out is analyzed according to identified analysis strategy.
4. the processing method of commercial circle data according to claim 2, which is characterized in that described according to the scene tag pair
Before each Merchant Category, further includes:
The order data of the trade company with same scene label of other commercial circles belonging to obtaining；
It is described according to scene tag in each Merchant Category, specifically:
According to scene tag to each trade company of affiliated first commercial circle and each Merchant Category of other affiliated commercial circles.
5. the processing method of commercial circle data according to claim 2 characterized by comprising the scene mark of the trade company
Label are obtained according to following methods:
Extract the characteristic parameter of the order data in the commercial circle；
Analyze the characteristic of the characteristic parameter of the order data in the commercial circle；
The scene tag of the trade company is determined based on the analysis results.
6. the processing method of commercial circle data according to claim 5, which is characterized in that the characteristic parameter are as follows: space is sat
Mark, time or category.
7. the processing method of commercial circle data according to claim 5, which is characterized in that ordering in the analysis commercial circle
The characteristic of the characteristic parameter of forms data, comprising:
Seek the entropy of the characteristic parameter of the order data；
The characteristic of the characteristic parameter of the order data in the commercial circle is determined according to the entropy.
8. a kind of processing unit of commercial circle data characterized by comprising
Receiving module, for receiving analysis request, the analysis request carries class of subscriber and the affiliated commercial circle of user；
First obtains module, for obtaining corresponding analysis result according to the class of subscriber and the affiliated commercial circle of the user；
Sending module, for feeding back the analysis result.
9. a kind of electronic equipment characterized by comprising
At least one processor；And
The memory being connect at least one described processor communication；Wherein,
The memory is stored with the instruction that can be executed by least one described processor, and described instruction is by described at least one
Device is managed to execute, so that at least one described processor is able to carry out:
Analysis request is received, the analysis request carries class of subscriber and the affiliated commercial circle of user；
Corresponding analysis result is obtained according to the class of subscriber and the affiliated commercial circle of the user；
Feed back the analysis result.
10. a kind of non-volatile memory medium, for storing computer-readable program, which is characterized in that computer-readable program
For executing the processing method of commercial circle data as claimed in any of claims 1 to 7 in one of claims for computer.
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