CN110348869A - Data processing method, calculates equipment and system at device - Google Patents

Data processing method, calculates equipment and system at device Download PDF

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Publication number
CN110348869A
CN110348869A CN201810300402.1A CN201810300402A CN110348869A CN 110348869 A CN110348869 A CN 110348869A CN 201810300402 A CN201810300402 A CN 201810300402A CN 110348869 A CN110348869 A CN 110348869A
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user
goods
kinds
line
service location
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石克阳
戴能
郭英甲
谢劲松
贾梦雷
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Alibaba Group Holding Ltd
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Alibaba Group Holding Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G06Q30/0203—Market surveys; Market polls
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0631—Item recommendations

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  • Engineering & Computer Science (AREA)
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  • Entrepreneurship & Innovation (AREA)
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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
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  • Game Theory and Decision Science (AREA)
  • Data Mining & Analysis (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The embodiment of the present application provides a kind of data processing method, device, calculates equipment and system.Wherein, service location under line is monitored, user behavior data or the kinds of goods service location under the line that user descends the user behavior data of service location generation, user to execute any operation generation to any kinds of goods in service location under the line online is acquired and is executed the kinds of goods behavioral data for operating generation by any user；The kinds of goods temperature feature for the characteristic of service location, the kinds of goods preference profiles of each user or each kinds of goods under line is obtained by data analysis；Control processing is carried out to service location under line according to the characteristic of service location under line, kinds of goods recommendation is carried out to user according to the kinds of goods preference profiles of user, kinds of goods display recommendation is carried out to service location under line according to the kinds of goods temperature feature of kinds of goods, technical solution provided by the embodiments of the present application realizes the digitlization of service location under line, realizes, specific aim control effective to service location under line.

Description

Data processing method, calculates equipment and system at device
Technical field
The invention relates to computer application technology more particularly to a kind of data processing method, device, services Device and system.
Background technique
With the gradually mature and development of e-commerce, online shopping has become the consumption status of current mainstream, under line Bring not small impact in shopping place.
Shopping place also uses traditional operation way under line at present, and user, which enters, passes through browsing after shopping place under line The various kinds of goods that shopping place displays under line autonomous shopping goods or can recommend goods from staff in place to user Product determine kinds of goods to be bought and then pay the bill via the staff in place and complete purchase, need in lower shopping place online Manually check kinds of goods, record kinds of goods inventory etc., kinds of goods put be also by manually combine it is new release kinds of goods or stub kinds of goods or It is arranged by personal experience, therefore at present for old in shopping place under the user in shopping production place under entrance line or line The kinds of goods of column can only be managed manually, specific aim is poor not accurate enough.
Summary of the invention
The embodiment of the present application provides a kind of data processing method, device, server and system, realizes service location under line Digitlization, realize under line service location it is effective, targetedly control, improve control accuracy, improve under line The operation ability of service location.
In a first aspect, providing a kind of data processing method in the embodiment of the present application, comprising:
Monitoring enters the user of service location under line；
Acquire the user user behavior data that service location generates under the line；
The user behavior data for analyzing different user, obtains the characteristic of service location under the line；
According to the characteristic of service location under the line, control processing is carried out to service location under the line.
Second aspect provides a kind of data processing method in the embodiment of the present application, comprising:
The kinds of goods that monitoring is displayed into service location under the user of service location under line and the line；
Acquire user's row that each user executes any operation to any kinds of goods in service location under the line and generates For data；
The user behavior data for analyzing each user obtains the user preference feature of each user；
According to the user preference feature of each user, kinds of goods recommendation is carried out to each user.
The third aspect provides a kind of data processing method in the embodiment of the present application, comprising:
The kinds of goods that monitoring is displayed into service location under the user of service location under line and the line；
Acquire the kinds of goods operation data that each kinds of goods service location under the line is executed operation and generated by any user；
The corresponding kinds of goods operation data of each kinds of goods is analyzed, the kinds of goods temperature feature of each kinds of goods is obtained；
According to the kinds of goods temperature feature of each kinds of goods, kinds of goods display is carried out to service location under the line and is recommended.
Fourth aspect provides a kind of data processing equipment in the embodiment of the present application, comprising:
First monitoring module, for monitoring the user for entering service location under line；
First data acquisition module, for acquiring the user user behavior number that service location generates under the line According to；
Fisrt feature analysis module obtains service location under the line for analyzing the user behavior data of different user Characteristic；
First control processing module, for the characteristic according to service location under the line, to servicing field under the line Carried out control processing.
In terms of 5th, a kind of data processing equipment is provided in the embodiment of the present application, comprising:
Second monitoring module, the goods displayed for service location under monitoring into the user of service location under line and the line Product；
Second data acquisition module is appointed for acquiring each user and executing to any kinds of goods in service location under the line The user behavior data of meaning operation and generation；
Second feature analysis module, for analyzing the user behavior data of each user, the user for obtaining each user is inclined Good feature；
Second control processing module carries out kinds of goods to each user and pushes away for the user preference feature according to each user It recommends.
In terms of 6th, a kind of data processing equipment is provided in the embodiment of the present application, comprising:
Third monitoring module, the goods displayed for service location under monitoring into the user of service location under line and the line Product；
Third data acquisition module by any user executes operation for acquiring each kinds of goods service location under the line And the kinds of goods operation data generated；
Third feature analysis module obtains the goods of each kinds of goods for analyzing the corresponding kinds of goods operation data of each kinds of goods Product temperature feature；
Third controls processing module, for the kinds of goods temperature feature according to each kinds of goods, to service location under the line into Crudely-made articles product display is recommended.
In terms of 7th, a kind of calculating equipment, including storage assembly and processing component are provided in the embodiment of the present application；
The storage assembly is for storing one or more computer instruction, wherein one or more computer refers to It enables calling for the processing component and execute；
The processing component is used for:
Monitoring enters the user of service location under line；
Acquire the user user behavior data that service location generates under the line；
The user behavior data for analyzing different user, obtains the characteristic of service location under the line；
According to the characteristic of service location under the line, control processing is carried out to service location under the line.
Eighth aspect provides a kind of calculating equipment, including storage assembly and processing component in the embodiment of the present application；
The storage assembly is for storing one or more computer instruction, wherein one or more computer refers to It enables calling for the processing component and execute；
The processing component is used for:
The kinds of goods that monitoring is displayed into service location under the user of service location under line and the line；
Acquire user's row that each user executes any operation to any kinds of goods in service location under the line and generates For data；
The user behavior data for analyzing each user obtains the user preference feature of each user；
According to the user preference feature of each user, kinds of goods recommendation is carried out to each user.
In terms of 9th, a kind of calculating equipment, including storage assembly and processing component are provided in the embodiment of the present application；
The storage assembly is for storing one or more computer instruction, wherein one or more computer refers to It enables calling for the processing component and execute；
The processing component is used for:
The kinds of goods that monitoring is displayed into service location under the user of service location under line and the line；
Acquire the kinds of goods operation data that each kinds of goods service location under the line is executed operation and generated by any user；
The corresponding kinds of goods operation data of each kinds of goods is analyzed, the kinds of goods temperature feature of each kinds of goods is obtained；
According to the kinds of goods temperature feature of each kinds of goods, kinds of goods display is carried out to service location under the line and is recommended.
Tenth aspect provides a kind of data processing system in the embodiment of the present application, including calculate equipment and with it is described Equipment is calculated to connect and arrange the monitoring device in online lower service location；
The user for calculating equipment and being used to enter using the monitoring device monitoring service location under line；Acquire each use The family user behavior data that service location generates under the line；The user behavior data for analyzing different user, obtains the line The characteristic of lower service location；According to the characteristic of service location under the line, service location under the line is controlled System processing；
Alternatively,
The goods displayed using monitoring device monitoring into service location under the user of service location under line and the line Product；Acquire the user behavior number that each user executes any operation to any kinds of goods in service location under the line and generates According to；The user behavior data for analyzing each user obtains the user preference feature of each user；User according to each user is inclined Good feature carries out kinds of goods recommendation to each user；
Alternatively,
The goods displayed using monitoring device monitoring into service location under the user of service location under line and the line Product；Acquire the kinds of goods operation data that each kinds of goods service location under the line is executed operation and generated by any user；Analysis The corresponding kinds of goods operation data of each kinds of goods, obtains the kinds of goods temperature feature of each kinds of goods；According to the kinds of goods temperature of each kinds of goods Feature carries out kinds of goods display to service location under the line and recommends.
In the embodiment of the present application, by being monitored to service location under line, user can be acquired and descend service location online The user behavior data of generation, user execute the user of any operation and generation to any kinds of goods in service location under the line Behavioral data or the kinds of goods service location under the line are executed the kinds of goods behavioral data for operating and generating by any user, later Carry out data analysis, it can obtain kinds of goods preference profiles, the kinds of goods for being directed to the characteristic of service location under line, each user Temperature feature, thus according to the characteristic of service location under line service location under line can be carried out control processing, according to The kinds of goods preference profiles at family can carry out kinds of goods recommendation, according to the kinds of goods temperature feature of kinds of goods to user, can be to servicing under line Place carries out kinds of goods display recommendation etc., and by will digitize in service location under line, realizing has service location under line Effect targetedly controls, and improves the operation ability of service location under line, improves user's shopping experience.
These aspects or other aspects of the application can more straightforward in the following description.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this Shen Some embodiments please for those of ordinary skill in the art without creative efforts, can be with root Other attached drawings are obtained according to these attached drawings.
Fig. 1 shows a kind of flow chart of data processing method one embodiment provided by the present application；
Fig. 2 shows a kind of flow charts of another embodiment of data processing method provided by the present application；
Fig. 3 shows a kind of flow chart of another embodiment of data processing method provided by the present application；
Fig. 4 shows a kind of flow chart of another embodiment of data processing method provided by the present application；
Fig. 5 shows a kind of flow chart of another embodiment of data processing method provided by the present application；
Fig. 6 shows a kind of flow chart of another embodiment of data processing method provided by the present application；
Fig. 7 shows the structural schematic diagram of the embodiment of the present application data processing system in a practical application；
Fig. 8 shows a kind of structural schematic diagram of data processing equipment one embodiment provided by the present application；
Fig. 9 shows a kind of structural schematic diagram of another embodiment of data processing equipment provided by the present application；
Figure 10 shows a kind of structural schematic diagram of another embodiment of data processing equipment provided by the present application；
Figure 11 shows a kind of structural schematic diagram for calculating equipment one embodiment provided by the present application；
Figure 12 shows a kind of structural schematic diagram for calculating another embodiment of equipment provided by the present application；
Figure 13 shows a kind of structural schematic diagram for calculating another embodiment of equipment provided by the present application；
Figure 14 shows a kind of structural schematic diagram of data processing system one embodiment provided by the present application；
Figure 15 shows a kind of structural schematic diagram of another embodiment of data processing system provided by the present application.
Specific embodiment
In order to make those skilled in the art more fully understand application scheme, below in conjunction in the embodiment of the present application Attached drawing, the technical scheme in the embodiment of the application is clearly and completely described.
In some processes of the description in the description and claims of this application and above-mentioned attached drawing, contain according to Multiple operations that particular order occurs, but it should be clearly understood that these operations can not be what appears in this article suitable according to its Sequence is executed or is executed parallel, and serial number of operation such as 101,102 etc. is only used for distinguishing each different operation, serial number It itself does not represent and any executes sequence.In addition, these processes may include more or fewer operations, and these operations can To execute or execute parallel in order.It should be noted that the description such as " first " herein, " second ", is for distinguishing not Same message, equipment, module etc., does not represent sequencing, does not also limit " first " and " second " and be different type.
The technical solution of the application can be adapted under the line that any offer kinds of goods are sold in service location, these kinds of goods can To be tangible products, naturally it is also possible to be invisible service etc..
As described in the background art, online shopping has become the consumption status of current mainstream, to service location band under line Carry out not small impact.But due to online shopping exist can not actual experience kinds of goods the disadvantages of, many users are also intended to online Lower service location buys kinds of goods, if the shopping experience in online lower service location can be improved, service location still has under line There is very strong competitive strength, therefore how service location under line is effectively managed, improves its operation ability, become future One of main research direction.
And inventor has found under study for action, if the user under line in service location, kinds of goods or user's row can be perceived For variation etc., then service location under line can be adjusted accordingly, to promote its operation ability.Therefore inventor passes through one Series of studies proposes the technical solution of the application, in the embodiment of the present application, by being monitored to service location under line, Acquisition user descends the user behavior data of service location generation, user to hold any kinds of goods in service location under the line online Row it is any operation and generate user behavior data or kinds of goods under the line service location by any user execute operation and The kinds of goods behavioral data of generation carries out data analysis later, is obtained respectively for the characteristic of service location, Mei Geyong under line The kinds of goods preference profiles or kinds of goods temperature feature at family, so that the characteristic according to service location under line can be to servicing field under line Carried out control processing can carry out kinds of goods recommendation and according to the kinds of goods of kinds of goods to user according to the kinds of goods preference profiles of user Temperature feature carries out kinds of goods display recommendation etc. to service location under line, by digitizing service location under line, with acquisition User behavior data or kinds of goods operation data simultaneously carry out data analysis, can be thus achieved based on data analysis result and take under object line Business place effectively, targetedly controls, and improves the operation ability of service location under line.
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete Site preparation description, it is clear that described embodiments are only a part of embodiments of the present application, instead of all the embodiments.It is based on Embodiment in the application, those skilled in the art's every other implementation obtained without creative efforts Example, shall fall in the protection scope of this application.
Fig. 1 is a kind of flow chart of data processing method one embodiment provided by the embodiments of the present application, and this method can be with Including the following steps:
101: monitoring enters the user under line in service location.
102: acquiring the user user behavior data that service location generates under the line.
In the embodiment of the present application, user behavior data be can be since user is mobile and operates in lower service location online Behavior generates, by being monitored to each user entered under line in service location, it can acquisition obtains its online lower clothes User behavior data caused by business field.
103: analyzing the user behavior data of different user, obtain the characteristic of service location under the line.
104: according to the characteristic of service location under the line, control processing being carried out to service location under the line.
Wherein, the characteristic of service location can be to instruct control service location under line under the line Processing.
In the present embodiment, by being monitored into service location user under line, serviced under being obtained with acquisition into line The user in place generates user behavior data, realizes the digitlization of service location under line, so based on user behavior data into The analysis of row data, can obtain the characteristic for service location under line, according to the characteristic of service location under line To carry out control processing to service location under line, realizes the digitlization control of service location under line, realize effectively, targetedly Control, can be improved the operation ability of service location under line.
Wherein, analyze the user behavior data, obtain service location under the line characteristic can there are many real Existing mode.
Alternatively, as shown in Fig. 2, for a kind of data processing method provided by the embodiments of the present application another The flow chart of embodiment, this method may include following steps:
201: monitoring enters the user under line in service location.
202: acquiring the user user behavior data that service location generates under the line.
In the present embodiment, the user behavior data may include user location.
Wherein it is possible to be directed to each user, a user location, such as acquisition per second can be acquired at interval of certain time User location.
203: the user behavior data of different user in analysis preset time obtains the user point of service location under the line Cloth feature.
204: according to the user distribution feature of service location under the line, service location under the line being carried out at control Reason.
Wherein, user distribution feature can indicate the user distribution situation of service location within a preset time under line, be based on User distribution feature can determine which zone user is more in service location under line and which zone user is less, thus base In user distribution feature, control processing can be carried out to service location under line, such as carries out the recommendation of kinds of goods display or kinds of goods library Deposit recommendation etc..
Wherein, kinds of goods display recommends to include pushing away for the adjustment of kinds of goods display position, kinds of goods type or kinds of goods brand etc. It recommends.
Kinds of goods inventory recommends to include that the adjustment to kinds of goods quantity in stock is recommended.
In certain embodiments, the user behavior data for analyzing different user in preset time, obtains under the line The user distribution feature of service location may include:
User location of the different user under the line in service location in preset time is counted, is determined when described default Counting for several times occurs in the user added up on each location point of service location under the interior line, to obtain service location under the line The corresponding user's frequency of occurrence of middle different location point.
The characteristic of service location can refer to the corresponding user's frequency of occurrence of each location point under line.
In order to facilitate understanding, it is assumed for example that service location is the rectangle of H (centimetre) * W (centimetre) under line, it is assumed that there are H* W location point；Assuming that can establish coordinate system using some vertex of rectangle as coordinate origin.It, can be with so for each user Acquisition per second obtains a user location (x, y)；If preset time is one day namely 86400 seconds, it can statistics obtains every The accumulative user's frequency of occurrence of a location point, it is assumed that each user is no more than by the number of the same location point in preset time 10 times, then the value range of each location point is [0,864000].
In certain embodiments, the user distribution feature according to service location under the line, to being serviced under the line Place carries out control processing
According to the corresponding user's frequency of occurrence of location point each in service location under the line, to service location under the line It carries out the recommendation of kinds of goods display or kinds of goods inventory recommends.
Wherein, it is based on the corresponding user's frequency of occurrence of different location point, which area in service location can be determined under line Domain is popular with users, which region can also know the user distribution situation of service location under line compared with unexpected winner etc., therefore control Personnel can adjust kinds of goods display position and/or kinds of goods quantity in stock under line in service location etc. accordingly.
Such as the kinds of goods of the corresponding display of location point higher for user's frequency of occurrence, kinds of goods quantity in stock can be increased to protect Normal sale is demonstrate,proved, and the kinds of goods of the location point display less for user's frequency of occurrence can reduce inventory, to reduce warehouse pressure Power etc..
For another example, due under line service location can usually divide multiple display areas to put kinds of goods, such as show window area Domain, normal areas, discount region, test area etc., different display areas attract degree different user, go out occurrence based on user Kinds of goods in the adjustable kinds of goods display position of number, such as the location point place display area more for user's frequency of occurrence are more By user's preferences, the kinds of goods in the display area can be placed into the display area for more attracting user, such as show window region, with Further increase the kinds of goods sales volume etc. of the kinds of goods.
In certain embodiments, the user distribution feature according to service location under the line, to being serviced under the line Place carries out control processing:
According to the corresponding user's frequency of occurrence of location point each in service location under the line, determine that user's frequency of occurrence is big It is displayed in the kinds of goods and user's frequency of occurrence of the location point display of the first preset times less than the location point of the second preset times Kinds of goods；
Generate the first adjustment prompt information；
Wherein, the location point that the first adjustment prompt information is greater than the first preset times based on user's frequency of occurrence displays Kinds of goods and user's frequency of occurrence less than the second preset times location point display kinds of goods.
Therefore, the first adjustment prompt information can be used for that controllers is instructed to increase user's frequency of occurrence to be greater than first The kinds of goods quantity in stock of the kinds of goods of the location point display of preset times reduces user's frequency of occurrence less than the second preset times The kinds of goods quantity in stock of the kinds of goods of location point display.
Alternatively, the first adjustment prompt information can be used for that controllers is instructed to increase user's frequency of occurrence to be greater than first The kinds of goods display amount of the kinds of goods of the location point display of preset times reduces user's frequency of occurrence less than the second preset times The kinds of goods display amount of the kinds of goods of location point display.
The first adjustment prompt information can export to display interface or be sent to controllers, prompt control people to realize The purpose of member.
It may include the location point display that user's frequency of occurrence is greater than the first preset times in the first adjustment prompt information Kinds of goods and user's frequency of occurrence less than the kinds of goods etc. that the location point of the second preset times displays, additionally may include each position Set a little corresponding user's frequency of occurrence.
In certain embodiments, the user distribution feature according to service location under the line, to being serviced under the line Place carries out control processing
According to the corresponding user's frequency of occurrence of location point each in service location under the line, determine that user's frequency of occurrence is big Hot spot areas and user's frequency of occurrence are cold less than the location point of the second preset times where the location point of the first preset times Door region；
Generate second adjustment prompt information.
Wherein, which can be based on the hot spot areas and the unexpected winner Area generation.
The second adjustment prompt information can include at least the hot spot areas and unexpected winner region, additionally may include line Corresponding user's frequency of occurrence of each location point etc. in lower service location.
Therefore, the second adjustment prompt information can be used for instructing controllers to be based on the hot spot areas and described cold Door region, adjusts kinds of goods display position；Such as new product is placed in hot spot areas, or the kinds of goods of hot spot areas are mobile The higher region of degree, such as show window region are attracted to user in service location under to line.
In certain embodiments, the user distribution feature according to service location under the line, to being serviced under the line Place carries out control processing
According to the corresponding user's frequency of occurrence of different location point in service location under the line, distribution map is drawn；
It generates and adjusts prompt information comprising the distribution map third；The third adjustment prompt information is to instruct control people Member adjusts the kinds of goods display position or kinds of goods quantity in stock under institute's line in service location according to the distribution map.
Namely the corresponding user's frequency of occurrence of each location point is checked in order to facilitate user, distribution map can be drawn, so that Controllers can intuitively obtain different zones popular degree so as to kinds of goods display position or kinds of goods quantity in stock etc. into Row adjustment, such as new product is placed in hot spot areas, or the kinds of goods quantity in stock of kinds of goods, reduction are cold in increase hot spot areas Door region in kinds of goods kinds of goods quantity in stock or increase hot spot areas in kinds of goods kinds of goods display quantity, reduce unexpected winner region in Kinds of goods display quantity of kinds of goods etc..
Wherein, for convenience handle, the corresponding user's frequency of occurrence of different location point can be normalized and then Distribution map is drawn, such as according to the corresponding user's frequency of occurrence of different location point in service location under the line, draws distribution map May include:
It is corresponding divided by different location point by the corresponding user's frequency of occurrence of each location point in service location under the line Maximum user's frequency of occurrence in user's frequency of occurrence, to obtain the corresponding normalized value of each location point；
Based on the corresponding normalized value of different location point, distribution map is drawn.
By normalized, the corresponding user's frequency of occurrence of each location point can be converted into the normalizing in [0,1] Change numerical value.
In addition, in certain embodiments, the user behavior data may include user location；
The analysis user behavior data, the characteristic obtained for service location under the line may include:
The user behavior data for belonging to the different user of same user type in analysis preset time, obtains and takes under the line Business place corresponds to the user distribution feature of different user types；
The characteristic according to service location under the line carries out control processing packet to service location under the line It includes:
The user distribution feature that different user types are corresponded to according to service location under the line, to service location under the line Carry out control processing.
Optionally, the user behavior data that the different user of same user type is belonged in the analysis preset time, is obtained Under the line service location correspond to the user distribution features of different user types and may include:
Belong to user position of the different user of same user type under the line in service location in statistics preset time It sets, determines that counting for several times occurs in the user added up on each location point of service location under the line described in the preset time, with The different location point for obtaining service location under the line corresponds to user's frequency of occurrence of different user types.
Also different user types can be directed to, determine that the user of different user types descends the user in service location online Distribution situation；Wherein, user type can be divided according to age, gender, income or preference etc..
Therefore, all ages and classes, different sexes, different incomes or difference can be provided partially by the technical solution of the application Counting for several times occurs in the corresponding user added up on different location point of good user.
The user distribution feature that different user types are corresponded to according to service location under the line, to being serviced under the line Place carries out control processing namely may include:
User's frequency of occurrence that different user types are corresponded to according to each location point in service location under the line, to described Service location carries out control processing under line.
Wherein, carrying out control processing to service location under the line may include to carrying out goods under the line in service location Product display is recommended or kinds of goods inventory recommends.
Optionally, go out occurrence according to the user that each location point in service location under the line corresponds to different user types Number, carrying out control processing to service location under the line may include:
It corresponds to user's frequency of occurrence of different user types based on each location point in service location under the line, generates the Four adjustment prompt informations；
It wherein, may include that each location point corresponds to the users of different user types and goes out in the 4th adjustment prompt information Occurrence number, thus the 4th adjustment prompt information can instruct controllers in service location under line kinds of goods display position or Kinds of goods quantity in stock is adjusted.
Optionally, go out occurrence according to the user that each location point in service location under the line corresponds to different user types Number, carrying out control processing to service location under the line may include:
User's frequency of occurrence of different user types is corresponded to according to different location point in service location under the line, is drawn not The corresponding distribution map with user type；
It is exported and is requested based on user, the corresponding distribution map of any user type of output request output；Wherein, described any The corresponding distribution map of user type is to instruct controllers accordingly to the kinds of goods display position and/or kinds of goods of service location under line Quantity in stock is adjusted.
Further, since service location can divide multiple display areas under line, therefore according in service location under the line Each location point corresponds to user's frequency of occurrence of different user types, and carrying out control processing to service location under the line can wrap It includes:
User's frequency of occurrence that different user types are corresponded to according to each location point in service location under the line, determines institute State under line that each display area corresponds to user's cumulative number of any user type in service location；
Determine that user's cumulative number of any user type is greater than the popular display area of third preset times and any Unexpected winner display area of the user's cumulative number of user type less than the 4th preset times；
So as to carry out kinds of goods display according to the corresponding popular display area of any user type or unexpected winner display area Recommend；Such as any user type preference kinds of goods are displayed into popular display area, to improve kinds of goods sales volume etc..
In one possible implementation, equipment, such as camera can be acquired with placement of images in lower service location online Deng.
Acquisition user service location under the line generates user behavior data and may include:
For the user images for the image capture device acquisition being arranged under the line in service location, recognition of face is carried out And position identification, obtain user location of the user under the line in service location.
Wherein, the image capture device position in the online lower service location of arrangement can be fixed, and may be generally mounted at day On card, it will usually arrange that multiple images acquire equipment, to capture to user's dynamic in service location under line.Pass through Recognition of face can distinguish different user, can determine the user that different user is descended online in service location by position identification Position.
If the position of image capture device is it is known that it can use depth camera, to determine that user adopts with image Collect the distance between equipment, and then acquisition user location can be calculated.
It is of course also possible to the place image of service location under image capture device gathering line is first passed through in advance, it can be by place Image carries out grid data, passes through mesh coordinate where determining user, it can determine user location.
In alternatively possible implementation, into the line under the user of service location can be configured with corresponding use Family equipment；
The acquisition user user behavior data that service location generates under the line may include:
The nothing that the user equipment of the user received according to the control equipment in the online lower service location of arrangement emits Line signal and in conjunction with it is described control equipment known location, determine the device location of the user equipment of the user；
Using the device location as user location, to obtain the user location of the user.
Wherein, wireless signal can be for example ibeacon signal, and user equipment is deployed with bluetooth module, to emit Ibeacon signal, control equipment can be Bluetooth base. station, and position is it is known that can arrange in the ceiling of online lower service location.
Wherein, the signal strength of the wireless signal of the user equipment transmitting received based on control equipment, can determine control The distance between control equipment and user equipment, to combine the known location of control equipment, it can calculate and obtain user equipment Device location, since user equipment is carried by user, the device location of user equipment may act as user location.Its In, user identifier can be carried in the wireless signal of user equipment transmitting, so that the corresponding user of user equipment can be determined Position.
In addition, in order to improve accuracy in computation, the acquisition user behavior data can in another possible implementation To include:
For the user images for the image capture device acquisition being arranged under the line in service location, recognition of face is carried out And position identification, obtain first user to be selected position of the user under the line in service location.
The nothing that the user equipment of the user received according to the control equipment in the online lower service location of arrangement emits Line signal and in conjunction with it is described control equipment known location, determine that the corresponding second user of the user equipment of the user waits for bit selecting It sets；
The first user position to be selected and second user position to be selected based on the user calculate and obtain the user's User location.
It can use by the mean place of the first user position to be selected and second user position to be selected, as the user Family position.
Wherein, user enters under line before service location, can acquire user images to carry out recognition of face, and determine The user identifier that the corresponding user equipment of user is sent, so that the corresponding relationship of face recognition result and user identifier is established, with Allow to the corresponding relationship based on face recognition result and user identifier, can determine that the same user corresponding first uses Family position to be selected and second user position to be selected etc..
As another optional way, in practical applications, the examination of at least one kinds of goods can be set under line in service location Can be set in service location when with the kinds of goods that service location under region, such as line provides being dress ornament class kinds of goods, under the line to A few fitting region, fitting region are tried on so that user carries out dress ornament.
As shown in figure 3, be a kind of flow chart of another embodiment of data processing method provided by the embodiments of the present application, it should Method may include following steps:
301: monitoring enters the user under line in service location.
302: acquiring the user user behavior data that service location generates under the line.
Wherein, the user behavior data may include trying out the time on probation in region in the kinds of goods；
In addition, it can include the residence time etc. under the line in service location.
Wherein, the residence time in lower service location can service field to entering under line by face recognition technology online And leave the user of service location under line and carry out recognition of face, to determine the residence time in online lower service location；
Wherein, equipment can also be acquired with placement of images by trying out in region in kinds of goods, can when user enter kinds of goods and try out region It is same to carry out face knowledge when user leaves kinds of goods and tries out region to carry out recognition of face using image capture device acquisition image Not, to can determine that user tries out the time on probation in region in kinds of goods.
303: the time on probation based on different user determines that at least one kinds of goods described in service location are on probation under the line The service condition in region.
304: according to the service condition, kinds of goods being carried out to service location under the line and try out region adjustment recommendation.
The characteristic of service location namely refer to that at least one described kinds of goods try out making for region in the present embodiment, under line Use situation.
The service condition that at least one kinds of goods try out region for example may include using peak period or using low peak period Deng for example, can determine if the time on probation of the user of at least the first quantity is all larger than the first given threshold in use Peak period and if the time on probation of the user of at least the second quantity is respectively less than the second given threshold, can determine at least one A kinds of goods region on probation, which is in, uses low peak period.
So as to which when at least one kinds of goods tries out regional processing and uses low peak period, close portion distribution of goods product try out region, In when using peak period, then open portion kinds of goods try out region, adjust the opening quantity that kinds of goods try out region by dynamic, mention The operation ability of service location, is guaranteed the service quality of service location under line with this, improves user's shopping experience under high line.
Optionally, described according to the service condition, kinds of goods region adjustment on probation is carried out to service location under the line and is pushed away It recommends and may include:
According to the service condition, control prompt information is generated；
Wherein, the control prompt information can be used for prompting the kinds of goods of service location under line described in controllers to try out area Domain is in using peak period or uses low peak period, so as to instruct the kinds of goods of service location under the open or closed line on probation Region.
The control prompt information can export to display interface or be sent to controllers, such as by mail, short disappear The modes such as breath, instant messaging are sent to controllers.
Optionally, the user behavior data can also include the residence time under the line in service location；
The time on probation based on different user determines the use feelings for trying out region under the line described in service location Condition；
Time and residence time on probation based on different user determine and try out region under the line described in service location Service condition.
For example, if to be all larger than the first given threshold, residence time big the time on probation of the user of at least the first quantity In third given threshold, then can determine in using peak period and if the time on probation of the user of at least the second quantity it is equal It is respectively less than the 4th given threshold less than the second given threshold, residence time, then can determine that at least one kinds of goods is tried out at region In use low peak period.
Fig. 4 is a kind of flow chart of another embodiment of data processing method provided by the embodiments of the present application, and this method can With including the following steps:
401: monitoring enters the kinds of goods that service location displays under user and the line under line in service location.
402: acquiring the use that each user executes any operation to any kinds of goods in service location under the line and generates Family behavioral data.
Kinds of goods under line in service location can refer under line in service location for handing over easy-to-use commodity, put online lower clothes It is engaged in place, user enters service location under line, it can carry out browsing, on probation or purchase of kinds of goods etc..
Monitoring to user may include to user location, operation object, the action type for operation object, operation time The monitoring of number, operating time etc.；Monitoring to kinds of goods may include to kinds of goods position, by action type, by number of operations, grasped Make the monitoring of time etc..
Wherein it is possible to understand, system can distinguish user by user identifier in the embodiment of the present application, and kinds of goods can To be distinguished by kinds of goods mark.
Wherein, user behavior data can be since user is mobile, the operation to kinds of goods, such as takes, moves, tries out, purchases The generations such as buy.
Pass through the user in service location under monitoring line, it can acquisition obtains user behavior data.
Therefore, optionally, the user behavior data may include operation object and the operation behavior for operation object Affiliated action type.
In addition, user behavior data can also be including user location etc.；
In addition, user behavior data can also include the operating time etc. of the corresponding each action type of operation object.
Wherein, action type for example may include taking, try out, move or buying
Wherein, the acquisition of user location may refer to described in above-described embodiment, and details are not described herein.
Optionally, each user of acquisition executes any operation to any kinds of goods in service location under the line and produces Raw user behavior data includes:
Determine under the line in service location by operation kinds of goods；
The corresponding operation object of each user is determined in operation kinds of goods from described；
Determine the action type for being directed to each operation object.
Wherein it is possible to the specific user location in conjunction with each user under the line in service location and described by operation goods The kinds of goods position of product is determined the corresponding operation object of each user from described in operation kinds of goods.
Since the kinds of goods position of the different kinds of goods under line in service location can be preset, in conjunction with each user's User location, it can determine that kinds of goods position and the user location are immediate by operation kinds of goods from by operation kinds of goods, that is, make For the corresponding operation object of each user.
Wherein, the kinds of goods that any operation is currently executed by any user can be referred to by operation kinds of goods, which can To include taking, move, try out, buying, be currently taken by operation kinds of goods namely refer to, by movement, tried out or by The kinds of goods of purchase etc..
Wherein, online in lower service location, each kinds of goods can be configured with detection device, can integrate in the detection device There are bluetooth module, RFID (Radio Frequency Identification, radio frequency identification) chip and/or gravity sensor Deng, wherein bluetooth module can be to be worked using BLE (Bluetooth Low Energy, Bluetooth Low Energy) mode Ibeacon chip etc., the detection device of each kinds of goods can be used for detecting whether kinds of goods are taken, are moved or are tried out It is operated, wherein whether kinds of goods are tried out can be by detecting whether kinds of goods be shaken realization；
Whether kinds of goods are purchased can be by arranging that the settlement device in online lower service location obtains.
Therefore, settlement device or the corresponding detection device of each kinds of goods are based on, it can determine by operation kinds of goods.It determines Out after the corresponding operation object of each user, in conjunction with the detection signal and/or knot of the corresponding detection device of each operation object Calculate the settlement information of equipment, it can determine the action type for being directed to each operation object.
403: analyzing the user behavior data of each user, obtain the user preference feature of each user.
As the above analysis, user behavior data may include operation object and the operation class for operation object Type, therefore by analyzing user behavior data, it can determine the user preference feature of each user.
Wherein, user preference feature may include kinds of goods preference profiles, and kinds of goods preference profiles for example may include that kinds of goods are inclined Good type, for example, kinds of goods be dress ornament when, kinds of goods type of preferences can refer to dress ornament style, such as street corner wind, hip-hop wind, Feminine Style Deng additionally may include kinds of goods preference price etc..
For kinds of goods preference profiles, it is alternatively possible to determine to use from operation object by analysis user behavior data Object is liked at family, the kinds of goods feature of object, such as kinds of goods type, item price is liked based on the user, it can determine kinds of goods Preference profiles.
404: according to the user preference feature of each user, kinds of goods recommendation being carried out to each user.
In the present embodiment, in conjunction with user behavior data, the user preference feature of each user can be obtained, thus for every The user preference feature of a user, can be targeted, provides personalized service to each user, improve each user it is online under Shopping experience in service location, to improve the operation ability of service location under line.
Wherein, carrying out data analysis to user behavior data can be by more with the user preference feature of each user of determination Kind mode determines:
Alternatively, it can be calculated based on each user for the different operation type of any operation object every One user is directed to any one for example, the weighted value of different operation type can be set by the operation score of a operation object The weighted value of the different operation type of operation object is added, and can obtain the operation score of the operation object.Wherein, it operates It is point higher, it may indicate that user is higher to the favorable rating of operation object；Score, which is operated, greater than the operation object for presetting score value is It can be used as user and like object；User likes the kinds of goods feature such as kinds of goods type or item price belonging to object, it can As user preference feature.
In addition, can also include in user behavior data for operation object each action type number of operations or Person grasps time etc.；
It is described to analyze the corresponding operation object of each user and the action type for the operation object, determine each use The kinds of goods preference profiles at family may include:
Confirm the corresponding different operation type of any one corresponding operation object of each user and each action type Number of operations；
Calculate the weighted value of each action type and the product of number of operations, and cumulative different operation type is corresponding multiplies Product value obtains the operation score for being directed to any one operation object；
Determine that operation score likes object as user greater than the operation object of default score value；
The kinds of goods feature of object is liked according to the user, obtains user preference feature.
In addition, as another optional way, the method can also include: in order to further increase recommendation accuracy
It obtains and records information on line of each user on line in transaction platform；
The user behavior data of each user of analysis, the kinds of goods preference profiles for obtaining each user include:
Analyze the operation object of each user and the action type for the operation object, and in conjunction with recording on the line Information determines the user preference feature of each user.
Wherein, it may include each user online trading record of transaction platform, clear on line on line that information is recorded on line Look at record, collection record etc. on line.History of each user on line in transaction platform can be determined based on information is recorded on line The record objects such as trading object, browsing object, collection object, and transaction count, browsing time etc. to each record object.
Information is recorded on bonding wire can determine that user likes object from record object, for example, transaction count it is more or Browsing time is more or the record object of collection may act as user and like object, in conjunction with each user operation object and It can determine that user likes object, such as the operation higher behaviour of score in operation object for the action type of the operation object It is that user likes object as object.Therefore the kinds of goods feature of object is liked based on user, it can obtain user preference feature.
In addition, display terminal can be disposed in the institute of service under line in a practical application；The display terminal is used for Detection be moved into its position region by operation kinds of goods, and export described by operation kinds of goods corresponding association kinds of goods letter Breath；Wherein association kinds of goods can refer to kinds of goods similar with operation object, may also mean that and meet collocation condition with operation object Kinds of goods etc., such as operation object is a jacket, which can be the scarf etc. that matches the jacket.
The display terminal can also detect the user's operation for the association inventory information, to determine the association kinds of goods Whether it is easily accepted by a user, these user's operations for example can be application is on probation, directly buys etc., so that server-side is in response to aobvious Show the detected user's operation of terminal, association kinds of goods can be performed corresponding processing, such as notice controllers are searched and are somebody's turn to do Be associated with kinds of goods and tried out to user etc..
Therefore, in order to further increase recommendation accuracy, in certain embodiments, the method can also include:
Obtain the mutual-action behavior data that each user that the display terminal acquisition obtains is directed to the association inventory information；
The operation object for analyzing each user and the action type for the operation object, determine each user's Kinds of goods preference profiles include:
The operation object of each user and the action type for the operation object are analyzed, and each user's of combination is mutual Dynamic behavioral data, determines the user preference feature of each user.
It wherein, can include having received kinds of goods and to having received the interaction style of kinds of goods for example in the mutual-action behavior data Apply on probation or purchase etc..
Therefore, the operation object based on each user and the action type for the operation object, can be from operation pair Determine that user likes object as in, such as the operation higher operation object of score is that user likes object；It is gone by interaction Object etc. can be liked from determining user in kinds of goods has been received for data, such as received kinds of goods to like directly as user Like object etc., therefore like the kinds of goods feature of object based on user, it can obtains user preference feature.
In addition, in another possible implementation, it can be specifically in conjunction on the user behavior data of each user, line Information and the mutual-action behavior data are recorded, the kinds of goods preference profiles of each user are obtained.
In certain embodiments, according to the user preference feature of each user, carrying out that kinds of goods recommend to each user can be with Include:
According to the user preference feature of each user, the recommendation kinds of goods for being directed to each user are determined；
Recommend its corresponding recommendation kinds of goods to each user.
Namely user preference feature can be determined by data analysis, and then kinds of goods can be recommended to user with specific aim, with It realizes personalized recommendation, improves user's shopping interest.
Wherein, recommend its corresponding recommendation kinds of goods can be there are many implementation to each user.
In one possible implementation, described to recommend its corresponding recommendation kinds of goods to may include: to each user
The kinds of goods recommendation information for recommending kinds of goods is sent to the corresponding user equipment of each user.
In the recommendation information such as may include recommend kinds of goods inventory information as title, price, recommend kinds of goods in institute State the kinds of goods position etc. under line in service location.
It is described to recommend its corresponding recommendation kinds of goods to may include: to each user in alternatively possible implementation
When detecting each user and being in its corresponding recommendation kinds of goods position region, the kinds of goods for recommending kinds of goods are pushed away It recommends information and is sent to the corresponding user equipment of each user.
It is described to recommend its corresponding recommendation kinds of goods to may include: to each user in another possible implementation
Current user position and its corresponding kinds of goods for recommending kinds of goods under the line in service location based on each user Position generates route guidance information；
The corresponding recommendation information comprising the route guidance information of the recommendation kinds of goods of each user is sent to its correspondence User equipment.
Also, it is recommended to can also be including inventory information etc. in information.
Pass course navigation information can be convenient user and descend in service location to be quickly found out the recommendation kinds of goods online.
In another possible implementation, display terminal is disposed in service location under the line；It is described to each User recommends its corresponding recommendation kinds of goods to may include:
When detecting each user and being located at the display terminal position region, the inventory information for recommending kinds of goods is existed The display terminal is shown.
Wherein it is possible to determine if to be located at display terminal position region in conjunction with the user location of each user；
It can also be and carry out recognition of face by the user images acquired to display terminal, may thereby determine that and be located at display Each user in terminal position region.Display terminal is configured with image capture module, can carry out Image Acquisition, in order to Identification is located at the user in display terminal position region.
In addition, as another embodiment, as shown in figure 5, being a kind of data processing method provided by the embodiments of the present application The flow chart of another embodiment, this method may include following steps:
501: monitoring enters the kinds of goods that service location displays under user and the line under line in service location.
502: acquiring the use that each user executes any operation to any kinds of goods in service location under the line and generates Family behavioral data.
503: analyzing the user behavior data of each user, obtain the user preference feature of each user.
504: according to the user preference feature of each user, kinds of goods recommendation being carried out to each user.
Wherein, step 501~step 504 operation may refer to step 401~step 404, and details are not described herein.
In addition, the method can also include: after obtaining the user preference feature of each user
505: in conjunction with the user preference feature and user type of each user, obtaining and service the corresponding group in field under the line Feature.
Wherein, in conjunction with the user preference feature and user type of each user, user's portrait of each user can be obtained, For user's portrait of different user, it can statistics obtains the corresponding group's portrait of service location under the line namely group Feature.Such as user's portrait may include one or more features factor, such as preference, age, income etc., count multiple users User's portrait, it can obtain overall portrait.
506: according to the corresponding population characteristic of service location under the line, kinds of goods display being carried out to service location under the line Recommend.
User behavior data is obtained by digitizing user behavior, can be obtained based on user behavior data and be serviced under line The population characteristic in place, thus for the population characteristic of service location under line, may be implemented to service location under line effectively, be directed to The control of property, improves the operation ability of service location under line.
Optionally, described according to the population characteristic, carrying out kinds of goods display recommendation to service location under the line includes:
According to the population characteristic, it is determined for compliance with the kinds of goods type or kinds of goods brand of the population characteristic；
Service location is recommended to display the kinds of goods type or the corresponding kinds of goods of the kinds of goods brand under to the line.
Wherein, described to recommend to display the kinds of goods type or the corresponding goods of the kinds of goods brand to service location under the line Product may include:
Based on the kinds of goods type or kinds of goods brand, generates and recommend prompt information；
It wherein, may include the kinds of goods type or kinds of goods brand in the recommendation prompt information.
Wherein, the recommendation prompt information can be used for that controllers is instructed to descend online in service location to display the kinds of goods Type or the corresponding kinds of goods of the kinds of goods brand.
In certain embodiments, described according to the population characteristic, be determined for compliance with the population characteristic kinds of goods type or Kinds of goods brand may include:
Determine the history population characteristic of service location historical statistics under the line；
If the history population characteristic of service location is different from current group feature under the line, it is determined for compliance with current group The kinds of goods type or kinds of goods brand of feature.
In conjunction with history population characteristic and current group feature, it can determine and be lost user or newly-increased under line in service location The case where user, so if current group feature changes with history population characteristic, then show under line service location towards User group change, to can be adjusted to the kinds of goods displayed in service location under line.
Furthermore, wherein kinds of goods display recommends to may include the tune to kinds of goods type, kinds of goods brand, kinds of goods placement position etc. Whole recommendation；
In addition, according to the population characteristic kinds of goods inventory recommendation can also be carried out to service location under line.
For example, if can choose the goods for meeting current group feature when current group feature and history population characteristic difference Kind class increases newly under line in service location, perhaps increases and meets the kinds of goods quantity in stock of the kinds of goods of current group feature or subtract Meet the kinds of goods quantity in stock etc. of the kinds of goods of history population characteristic less.
If Fig. 6 is a kind of flow chart of another embodiment of data processing method provided by the embodiments of the present application, this method May include following steps:
601: the kinds of goods that monitoring is displayed into service location under the user of service location under line and the line.
602: acquiring each kinds of goods kinds of goods that service location is executed operation and generated by any user under the line and operate Data.
Wherein, kinds of goods operation data may include by action type and/or by operating frequency；
By action type may include be taken, by movement, tried out or purchased etc..
Wherein, whether each kinds of goods are taken, are moved or can be set by the detection that each kinds of goods configure by probation Standby detection obtains；Whether each kinds of goods are purchased can be determined by the settlement information of settlement device.
603: analyzing the kinds of goods operation data of each kinds of goods, determine the kinds of goods temperature feature of each kinds of goods.
Wherein, kinds of goods temperature feature can indicate kinds of goods by the favorite degree of user.
The kinds of goods temperature feature can be a kinds of goods hot value, can correspond to every kind by action type in conjunction with each kinds of goods Determined by operating frequency, such as alternatively, every kind of weight coefficient by operation behavior can be set, can be first First calculate every kind of weight coefficient by action type with by the product of operating frequency, then by different by the corresponding product of action type It is added obtain and value, as kinds of goods temperature feature.The corresponding numerical value of kinds of goods temperature feature is bigger, may indicate that kinds of goods are more benefited from Like at family.
That is, each kinds of goods of acquisition service location under the line is executed the kinds of goods for operating and generating by any user Operation data may include:
Each kinds of goods are obtained to be executed corresponding to operation by any user by action type and for by each action type By operating frequency.
Described to analyze the corresponding kinds of goods operation data of each kinds of goods, the kinds of goods temperature feature for obtaining each kinds of goods includes:
Based on each kinds of goods it is corresponding by action type and for it is each by action type by operating frequency, determine each The kinds of goods temperature feature of kinds of goods.
In addition, the kinds of goods operation data based on each kinds of goods, can also determine each kinds of goods kinds of goods can degree of selling, the goods Product can degree of selling can according to the sales volume of each kinds of goods determine, sell it is higher, kinds of goods can degree of selling it is higher, also illustrate kinds of goods more by User likes.
604: according to the kinds of goods temperature feature of each kinds of goods, kinds of goods display being carried out to service location under the line and is recommended.
Wherein, kinds of goods display recommends to may include the adjustment to kinds of goods display position, kinds of goods type or kinds of goods brand etc. Recommend.
In the present embodiment, by being digitized to kinds of goods, it can acquire and obtain kinds of goods operation operation, be operated in conjunction with kinds of goods Data can obtain the kinds of goods temperature feature of each kinds of goods, thus in conjunction with the kinds of goods characteristic of each kinds of goods, may be implemented pair Service location effectively, targetedly control under line, to improve the operation ability of service location under line.
In certain embodiments, the kinds of goods temperature feature according to each kinds of goods, carries out service location under the line Kinds of goods display is recommended
According to the kinds of goods temperature feature of each kinds of goods and the display type of each display area, determine that each kinds of goods are corresponding Display area；
Generate display recommendation information；The display recommendation information is for instructing controllers corresponding old according to each kinds of goods Column region adjusts the kinds of goods display position of each kinds of goods.
Wherein, display type can show the significance level of display area, and display type can refer to according to significance level The grade of division, usual higher grade, the easier attraction user of the display area and by user concern,
Since in the prior art, the arrangement of display area needs full-time staff to carry out in service location under line, and this implementation In example, the kinds of goods temperature feature of each kinds of goods can be obtained, so that controllers can be in conjunction with the kinds of goods temperature spy of each kinds of goods Levy adjust under line service city display arrangement.
Therefore, according to kinds of goods temperature feature, it can determine that the kinds of goods that kinds of goods temperature feature is met fast-selling condition are placed into The display area of higher level, the kinds of goods that kinds of goods temperature feature can be met to unsalable condition are placed into the display area of lower grade Domain etc..
Further, it is also possible to carry out kinds of goods inventory to service location under the line according to the kinds of goods temperature feature of each kinds of goods Recommend.
Such as it is greater than the kinds of goods of the first default characteristic value for kinds of goods temperature feature, kinds of goods quantity in stock can be increased.For Kinds of goods of the kinds of goods temperature feature less than the second default characteristic value, it is possible to reduce kinds of goods quantity in stock.
The technical solution of the embodiment of the present application, in a practical application, the kinds of goods that service location provides under line can be Dress ornament class kinds of goods.
As shown in Figure 7, image capture device 701 can be disposed under line in service location, image capture device 701 can With include it is multiple, can arrange in the ceiling in online lower service location and under line service location entrance；In addition, into Each user in service location can carry user equipment 702, into before service location can by user equipment 701 to Server-side 703 sends user identifier, meanwhile, server-side 703 can carry out face knowledge to user by image capture device 701 Not, to establish the corresponding relationship etc. of face recognition result and user identifier.Wherein, server-side 703 may include one or more Server.
Display terminal 704 can also be set in service location under line, and the display terminal 704 is moved into it to detect The operation object in position region；Export the corresponding association inventory information of the operation object.
Each kinds of goods can be configured with detection device 705 in service location under line, can integrate in the detection device 705 The wireless chips such as bluetooth module, gravity sensor, RFID, whether be taken to incude each kinds of goods, whether be moved to and Whether tried out.Wherein, detection device can be movably arranged on each kinds of goods, or be integrated in the electronics price tag of kinds of goods Deng.
Wherein, it can be configured with image capture module and radio receiving transmitting module in display terminal 704, be moved into its institute Operation object in the band of position, by radio receiving transmitting module can obtain detection device 705 in operation object emit it is wireless Signal can determine operation object with this.It is moved to the user in its position region, can be carried out by image capture module Recognition of face, to determine subscriber identity information etc..
Wherein, settlement device 706 is also provided under line in service location, for settling accounts etc. to kinds of goods.
Wherein, recognition of face is carried out to user by the image capture device 701 in service location under line and position identifies, It can determine the user location of each user；Or service location can also be disposed with control equipment 707 under line, control equipment 707 may include it is multiple, can arrange on the ceiling.
Server-side 703 is corresponding according to any user that any control equipment in the online lower service location of arrangement receives User equipment transmitting wireless signal and in conjunction with it is described it is any control equipment known location, can determine any user User location；Or can also by image capture device 701 acquire user images, and to user images carry out recognition of face and Position identification, to determine user location that different user is descended online in service location.
Server-side 703 can count user location of the different user under the line in service location in preset time, really It is scheduled in the preset time user added up on each location point of service location under the line to occur counting for several times, to obtain State under line the corresponding user's frequency of occurrence of different location point in service location.
The different user for belonging to same user type in preset time can also be counted under the line in service location User location determines that the user added up on each location point of service location under the line described in the preset time occurs for several times Number, to obtain user's frequency of occurrence that the different location point of service location under the line corresponds to different user types.
Thus according to the corresponding user's frequency of occurrence of different location point in service location under the line, or according to the line Different location point corresponds to user's frequency of occurrence of different user types in lower service location, carries out the recommendation of kinds of goods display or kinds of goods Inventory recommend, controllers can in service location under the line kinds of goods display position or kinds of goods quantity in stock adjust It is whole.
In addition, the operation object of each user can be determined in conjunction with user location and by the kinds of goods position of operation kinds of goods, According to the detection of the settlement information or display terminal of the detection signal of the detection device of each operation object or settlement device Signal can determine that each user is directed to the action type of operation object.To the operation object and operation to each user Type carries out data analysis, can determine the user preference feature of each user.It is special to carry out the user preference based on each user Sign, can determine the recommendation kinds of goods for each user, and recommend its corresponding recommendation kinds of goods to each user.
Further, it is also possible to record information and/or the mutual-action behavior data in display terminal specifically on bonding wire, come true Determine user preference feature.
Wherein, the user behavior data of each user for example may include:
Display area where user；
The operation object taken or tried out；
It is moved to the operation object in display terminal position region；
The mutual-action behavior data of each user for example may include:
That wants to try out has received kinds of goods；
Wanting of determining in display terminal in a particular area on probation has received kinds of goods etc..
In addition, can also count and be serviced under the acquisition line in conjunction with the user preference feature and user type of each user The corresponding population characteristic in field.To be based on current group feature, the goods put in service location under the adjustable line of controllers Product etc..
Further, it is also possible to data analysis be carried out by behavioral data to each kinds of goods, with the kinds of goods heat of each kinds of goods of determination Feature is spent, to can carry out kinds of goods display according to the kinds of goods temperature feature of each kinds of goods and recommend.Or it can be according to each goods The kinds of goods temperature feature of product carries out kinds of goods inventory recommendation etc..
In addition, being also provided at least one fitting region under line in service location, it is based on each user lower clothes online The residence time in business place and the fitting time in fitting region, it can determine fitting described in service location under the line The service condition in region, and then can dynamically adjust the opening quantity in the fitting region of service location under line or close quantity.
It should be noted that the above is only combination user behavior datas and/or kinds of goods by behavioral data, the characteristic of generation According to and control processing mode be illustrated, it is any by by under line in service location user and kinds of goods digitize Monitoring, and analyzed using the data that user behavior data or kinds of goods behavioral data carry out, and carry out control under line accordingly and handle Technical solution, should be included in the protection scope of the application.
Fig. 8 is a kind of structural schematic diagram of data processing equipment one embodiment provided by the embodiments of the present application, the device May include:
First monitoring module 801, for monitoring the user for entering service location under line；
First data acquisition module 802, for acquiring each user user behavior that service location generates under the line Data；
Fisrt feature analysis module 803 obtains for analyzing the user behavior data of different user and services field under the line Characteristic；
First control processing module 804, for the characteristic according to service location under the line, to being serviced under the line Place carries out control processing.
Alternatively, the user behavior data includes user location；
The fisrt feature analysis module is specifically used for: the user behavior data of different user in analysis preset time obtains Obtain the user distribution feature of service location under the line；
The first control processing module is specifically used for: according to the user distribution feature of service location under the line, to institute It states service location under line and carries out control processing.
In certain embodiments, the fisrt feature analysis module is specifically used for: different user exists in statistics preset time User location under the line in service location determines each location point of service location under the line described in the preset time Counting for several times occurs in upper accumulative user.
In certain embodiments, the first control processing module can be specifically used for according in service location under the line The corresponding user's frequency of occurrence of each location point determines that user's frequency of occurrence is greater than the goods that the location point of the first preset times displays Product and user's frequency of occurrence are less than the kinds of goods that the location point of the second preset times displays；Generate the first adjustment prompt information；It is described The first adjustment prompt information is used to that controllers to be instructed to increase the location point display that user's frequency of occurrence is greater than the first preset times Kinds of goods kinds of goods quantity in stock or reduce user's frequency of occurrence less than the second preset times location point display kinds of goods goods Product quantity in stock.
In certain embodiments, the first control processing module can be specifically used for according in service location under the line The corresponding user's frequency of occurrence of each location point determines popular where user's frequency of occurrence is greater than the location point of the first preset times The unexpected winner region of region and user's frequency of occurrence less than the location point of the second preset times；Generate second adjustment prompt information；Institute Second adjustment prompt information is stated for instructing controllers to be based on the hot spot areas and the unexpected winner region, adjustment kinds of goods display Position.
In certain embodiments, the first control processing module can be specifically used for according in service location under the line The corresponding user's frequency of occurrence of each location point, draws distribution map；Generating includes the distribution map second adjustment prompt information；Institute Second adjustment prompt information is stated to instruct controllers according to the distribution map, the kinds of goods adjusted under institute's line in service location are old Column position or kinds of goods quantity in stock.
As another optional way, the user behavior data includes user location；
The fisrt feature analysis module is specifically used for belonging to the different user of same user type in analysis preset time User behavior data, obtain the user distribution feature that service location under the line corresponds to different user types；
Optionally, the fisrt feature analysis module can be specifically used for belonging to same user type in statistics preset time User location of the different user under the line in service location, determine service location under the line described in the preset time Each location point on the user that adds up occur counting for several times, it is corresponding different with the different location point for obtaining service location under the line User's frequency of occurrence of user type.
The first control processing module can be specifically used for corresponding to different user types according to service location under the line User distribution feature, control processing is carried out to service location under the line.
Optionally, the first control processing module can be specifically used for according to different location in service location under the line User's frequency of occurrence of the corresponding different user types of point generates the 4th adjustment prompt information；The 4th adjustment prompt information is used In the user's frequency of occurrence for instructing controllers to correspond to according to different location point different user types, to service location under the line Middle progress kinds of goods display is recommended or kinds of goods inventory recommends.
In certain embodiments, first data acquisition module, which is specifically used for being directed to, is arranged in service location under the line In image capture device acquisition user images carry out recognition of face and position identification, obtain different user under the line User location in service location.
In certain embodiments, first data acquisition module is specifically used for according in arrangement online lower service location Control equipment receive any user equipment transmitting wireless signal and in conjunction with it is described control equipment known location, determine institute State the corresponding user location of any user equipment.
In addition, being provided at least one kinds of goods as another optional way in service location under the line and trying out region；
The user behavior data includes trying out the time on probation in region in the kinds of goods；
The fisrt feature analysis module is specifically used for the time on probation based on different user, determines and services field under the line Described at least one kinds of goods try out region service condition；
The first control processing module is specifically used for servicing field under the open or closed line according to the service condition In at least partly kinds of goods try out region.
Furthermore the user behavior data further includes the residence time under the line in service location；
The fisrt feature analysis module can be specifically used for time and residence time on probation based on different user, determine The service condition in region is tried out under the line described in service location.
Fig. 9 is a kind of structural schematic diagram of another embodiment of data processing equipment provided by the embodiments of the present application, the dress It sets and may include:
Second monitoring module 901 is displayed for service location under monitoring into the user of service location under line and the line Kinds of goods；
Second data acquisition module 902 holds any kinds of goods in service location under the line for acquiring each user The user behavior data of any operation of row and generation；
Second feature analysis module 903 obtains the user of each user for analyzing the user behavior data of each user Preference profiles；
Second control processing module 903 carries out kinds of goods to each user for the user preference feature according to each user Recommend.
Optionally, second data acquisition module can be specifically used for determining being operated in service location under the line Kinds of goods；
The corresponding operation object of each user is determined in operation kinds of goods from described；
Determine the action type for being directed to each operation object；
The user behavior data of each user of analysis, the kinds of goods preference profiles for obtaining each user include:
The corresponding operation object of each user and the action type for the operation object are analyzed, determines each user's Kinds of goods preference profiles.
Optionally, further includes:
First obtains module, records information on line of each user on line in transaction platform for obtaining；
The second feature analysis module can be specifically used for analyzing the operation object of each user and be directed to the operation The action type of object, and in conjunction with information is recorded on the line, determine the user preference feature of each user.
Optionally, display terminal is disposed in service location under the line；The display terminal is moved into detect Its position region by operation kinds of goods, and export described by the corresponding association inventory information of operation kinds of goods；The device may be used also To include:
Second obtains module, believes for obtaining each user that the display terminal acquisition obtains for the association kinds of goods The mutual-action behavior data of breath；The mutual-action behavior data include having received to be associated with kinds of goods and for the interaction for having received to be associated with kinds of goods Type；
The second feature analysis module can be specifically used for analyzing the operation object of each user and be directed to the operation The action type of object, and the mutual-action behavior data of each user are combined, determine the user preference feature of each user.
Wherein, in certain embodiments, the second control processing module is specifically used for inclined according to the user of each user Good feature determines the recommendation kinds of goods for being directed to each user；
Recommend its corresponding recommendation kinds of goods to each user.
Optionally, its corresponding recommendation kinds of goods is recommended to can wrap to each user described in the second control processing module It includes:
The kinds of goods recommendation information for recommending kinds of goods is sent to the corresponding user equipment of each user.
Optionally, the kinds of goods recommendation information for recommending kinds of goods is sent to each user by the second control processing module Corresponding user equipment may include:
When detecting each user and being in its corresponding recommendation kinds of goods position region, the kinds of goods for recommending kinds of goods are pushed away It recommends information and is sent to the corresponding user equipment of each user.
Optionally, the kinds of goods recommendation information for recommending kinds of goods is sent to each user by the second control processing module Corresponding user equipment may include:
Current user position and its corresponding kinds of goods for recommending kinds of goods under the line in service location based on each user Position generates route guidance information；
The corresponding recommendation information comprising the route guidance information of the recommendation kinds of goods of each user is sent to its correspondence User equipment.
Optionally, service location is disposed with display terminal under the line；
The second control processing module recommends its corresponding recommendation kinds of goods that can be specifically used for detection often to each user When a user is located at the display terminal position region, by it is described recommend kinds of goods inventory information the display terminal into Row is shown.
Wherein, second data acquisition module can be specifically used for combining the user location of each user, from being operated The corresponding operation object of each user is determined in kinds of goods.
In addition, in some embodiments, which can also include:
Population analysis module is obtained and is taken under the line for combining the user preference feature and user type of each user The corresponding population characteristic in business field；
The second control processing module is also used to according to the population characteristic, carries out kinds of goods to service location under the line Display is recommended.
The second control processing module carries out kinds of goods display to service location under the line and pushes away according to the population characteristic Recommending can be specifically the kinds of goods type or kinds of goods brand that the population characteristic is determined for compliance with according to the population characteristic；To described Service location is recommended to display the kinds of goods type or the corresponding kinds of goods of the kinds of goods brand under line.
The second control processing module according to the population characteristic, be determined for compliance with the population characteristic kinds of goods type or Kinds of goods brand can be specifically the history population characteristic for determining service location historical statistics under the line；If serviced under the line The history population characteristic in place is different from current group feature, is determined for compliance with the kinds of goods type or kinds of goods product of current group feature Board.
Figure 10 is a kind of structural schematic diagram of another embodiment of data processing equipment provided by the embodiments of the present application, should Device may include:
Third monitoring module 1001 is displayed for service location under monitoring into the user of service location under line and the line Kinds of goods；
Third data acquisition module 1002 is executed for acquiring each kinds of goods service location under the line by any user The kinds of goods operation data of operation and generation；
Third feature analysis module 1003 obtains each kinds of goods for analyzing the corresponding kinds of goods operation data of each kinds of goods Kinds of goods temperature feature；
Third controls processing module 1004, for the kinds of goods temperature feature according to each kinds of goods, to servicing field under the line Carried out kinds of goods display is recommended.
Optionally, the third data acquisition module be specifically used for obtaining each kinds of goods by any user execute operation pair Answer by action type and for by each action type by operating frequency.
The third feature analysis module is specifically used for corresponding by action type and for each quilt based on each kinds of goods Action type by operating frequency, determine the kinds of goods temperature feature of each kinds of goods.
Optionally, third control processing module can be specifically used for according to the kinds of goods temperature feature of each kinds of goods and every The display type of a display area determines the corresponding display area of each kinds of goods；
Generate display recommendation information；The display recommendation information is for instructing controllers corresponding old according to each kinds of goods Column region adjusts the kinds of goods display position of each kinds of goods.
In addition, the third control processing module is also used to the kinds of goods temperature feature according to each kinds of goods, under the line Service location carries out kinds of goods inventory recommendation.
For the data processing equipment in above-described embodiment, wherein modules, unit have executed the concrete mode of operation It is described in detail in the embodiment of the method, no detailed explanation will be given here.
In a possible design, the data processing equipment of embodiment illustrated in fig. 8 can be implemented as a calculating equipment, should Calculating equipment can be specially server, and as shown in figure 11, which may include storage assembly 1101 and processing group Part 1102；
Wherein, 1,101 one or more computer instruction of storage assembly, wherein one or more computer refers to It enables calling for the processing component 1102 and execute.
The processing component 1102 is used for:
Monitoring enters the user of service location under line；
Acquire each user user behavior data that service location generates under the line；
The user behavior data for analyzing different user, obtains the characteristic of service location under the line；
According to the characteristic of service location under the line, control processing is carried out to service location under the line.
Processing component 1102 may include that one or more processors carry out computer instructions, to complete above-mentioned method In all or part of the steps.Certain processing component may be one or more application specific integrated circuit (ASIC), number Signal processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic components are realized, for executing the above method.
Storage assembly 1101 is configured as storing various types of data to support in the operation for calculating equipment.Storage assembly It can be realized by any kind of volatibility or non-volatile memory device or their combination, such as static random access memory Device (SRAM), electrically erasable programmable read-only memory (EEPROM), Erasable Programmable Read Only Memory EPROM (EPROM) can be compiled Journey read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, disk or CD.
Certainly, calculating equipment necessarily can also include other component, such as input/output interface, communication component etc..
Input/output interface provides interface between processing component and peripheral interface module, and above-mentioned peripheral interface module can To be output equipment, input equipment etc..
Communication component is configured to facilitate the communication for calculating wired or wireless way between equipment and other equipment.
In addition, it is stored with computer program the embodiment of the present application also provides a kind of computer readable storage medium, it is described Above-mentioned FIG. 1 to FIG. 3 described in any item data processing methods may be implemented when computer program is computer-executed.
In a possible design, the data processing equipment of embodiment illustrated in fig. 9 can be implemented as a calculating equipment, should Calculating equipment can be specially server, and as shown in figure 12, which may include storage assembly 1201 and processing group Part 1202；
Wherein, 1,201 one or more computer instruction of storage assembly, wherein one or more computer refers to It enables calling for the processing component 1202 and execute.
The processing component 1202 is used for:
The kinds of goods that monitoring is displayed into service location under the user of service location under line and the line；
Acquire user's row that each user executes any operation to any kinds of goods in service location under the line and generates For data；
The user behavior data for analyzing each user obtains the user preference feature of each user；
According to the user preference feature of each user, kinds of goods recommendation is carried out to each user.
Processing component 1202 may include that one or more processors carry out computer instructions, to complete above-mentioned method In all or part of the steps.Certain processing component may be one or more application specific integrated circuit (ASIC), number Signal processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic components are realized, for executing the above method.
Storage assembly 1201 is configured as storing various types of data to support in the operation for calculating equipment.Storage assembly It can be realized by any kind of volatibility or non-volatile memory device or their combination, such as static random access memory Device (SRAM), electrically erasable programmable read-only memory (EEPROM), Erasable Programmable Read Only Memory EPROM (EPROM) can be compiled Journey read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, disk or CD.
In addition, it is stored with computer program the embodiment of the present application also provides a kind of computer readable storage medium, it is described Data processing method described in above-mentioned Fig. 4 or Fig. 5 may be implemented when computer program is computer-executed.
In a possible design, the data processing equipment of embodiment illustrated in fig. 10 can be implemented as a calculating equipment, The calculating equipment can be specially server, and as shown in figure 13, which may include storage assembly 1301 and processing Component 1302；
Wherein, 1,301 one or more computer instruction of storage assembly, wherein one or more computer refers to It enables calling for the processing component 1302 and execute.
The processing component 1302 is used for:
The kinds of goods that monitoring is displayed into service location under the user of service location under line and the line；
Acquire the kinds of goods operation data that each kinds of goods service location under the line is executed operation and generated by any user；
The corresponding kinds of goods operation data of each kinds of goods is analyzed, the kinds of goods temperature feature of each kinds of goods is obtained；
According to the kinds of goods temperature feature of each kinds of goods, kinds of goods display is carried out to service location under the line and is recommended.
Wherein, processing component 1302 may include that one or more processors carry out computer instructions, above-mentioned to complete Method in all or part of the steps.Certain processing component may be one or more application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD), scene can It programs gate array (FPGA), controller, microcontroller, microprocessor or other electronic components to realize, for executing the above method.
Storage assembly 1301 is configured as storing various types of data to support in the operation for calculating equipment.Storage assembly It can be realized by any kind of volatibility or non-volatile memory device or their combination, such as static random access memory Device (SRAM), electrically erasable programmable read-only memory (EEPROM), Erasable Programmable Read Only Memory EPROM (EPROM) can be compiled Journey read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, disk or CD.
In addition, it is stored with computer program the embodiment of the present application also provides a kind of computer readable storage medium, it is described Data processing method described in above-mentioned Fig. 6 may be implemented when computer program is computer-executed.
In addition, the embodiment of the present application also provides a kind of data processing system, as shown in Figure 14, which can To include calculating equipment 1401 and monitoring device 1402；Monitoring device 1402 arranges in lower service location online, and with calculating Equipment 1401 connects.Wherein, server-side can be deployed in by calculating equipment, which can integrate Fig. 8, Fig. 9 and figure Data processing equipment described in 10.
Wherein, the user for calculating equipment 1401 and being used to enter using the monitoring device monitoring service location under line； Acquire each user user behavior data that service location generates under the line；The user behavior data of different user is analyzed, Obtain the characteristic of service location under the line；According to the characteristic of service location under the line, to being serviced under the line Place carries out control processing；
Alternatively,
The goods displayed using monitoring device monitoring into service location under the user of service location under line and the line Product；Acquire the user behavior number that each user executes any operation to any kinds of goods in service location under the line and generates According to；The user behavior data for analyzing each user obtains the user preference feature of each user；User according to each user is inclined Good feature carries out kinds of goods recommendation to each user；
Alternatively,
The goods displayed using monitoring device monitoring into service location under the user of service location under line and the line Product；Acquire the kinds of goods operation data that each kinds of goods service location under the line is executed operation and generated by any user；Analysis The corresponding kinds of goods operation data of each kinds of goods, obtains the kinds of goods temperature feature of each kinds of goods；According to the kinds of goods temperature of each kinds of goods Feature carries out kinds of goods display to service location under the line and recommends.
In a kind of optional way, as shown in Figure 15, monitoring device 1402 may include image capture device 1501；
The user for calculating equipment 1401 and entering service location under line using monitoring device monitoring；Acquire each use The family user behavior data that service location generates under the line；The user behavior data for analyzing different user, obtains the line The characteristic of lower service location；According to the characteristic of service location under the line, service location under the line is controlled System processing is specifically:
User images are acquired using described image acquisition equipment 1501, and recognition of face and position are carried out to the user images Identification is set, user location of the different user under the line in service location is obtained；Analyze the use of different user in preset time Family position obtains the user distribution feature of service location under the line；According to the user distribution feature of service location under the line, Control processing is carried out to service location under the line.
In another optional way, the monitoring device 1402 can also include control equipment 1502；Controlling equipment can With include it is multiple, furthermore the system can also include the user equipment into the corresponding configuration of each user of service location under line 1503；
The user for calculating equipment 1401 and entering service location under line using monitoring device monitoring；Acquire each use The family user behavior data that service location generates under the line；The user behavior data for analyzing different user, obtains the line The characteristic of lower service location；According to the characteristic of service location under the line, service location under the line is controlled System processing is specifically:
According to the wireless signal for any user equipment transmitting that the control equipment in the online lower service location of arrangement receives And in conjunction with the known location of the control equipment, the corresponding user location of any user equipment is determined；Analyze preset time The user location of interior different user obtains the user distribution feature of service location under the line；According to service location under the line User distribution feature, control processing is carried out to service location under the line.
As another optional way, as shown in Figure 15, which can also include that the detection of each kinds of goods configuration is set Standby 1504；
In certain embodiments, the calculating equipment 1401 acquires each user to any in service location under the line The user behavior data that kinds of goods execute any operation and generate is specifically:
In conjunction with the detection signal of the detection device, determine each user to any kinds of goods in service location under the line The user behavior data for executing any operation and generating.
In certain embodiments, the calculating equipment 1401 acquires each kinds of goods service location under the line and is arbitrarily used The kinds of goods operation data that family executes operation and generates is specifically:
In conjunction with the detection signal of the detection device 1504, determine that each kinds of goods service location under the line is arbitrarily used Family executes operation and the kinds of goods operation data of generation.
As another optional way, as described in 15, which can also include in the online lower service location of arrangement Display terminal 1505；
Wherein, display terminal 1505 may include at least one.
The equipment 1401 that calculates is also used to determine each user of the acquisition acquisition of display terminal 1505 for the association The mutual-action behavior data of inventory information；
The user behavior data for calculating equipment 1401 and analyzing each user, the user preference for obtaining each user are special Sign；It is specifically according to the user preference feature of each user:
In conjunction with each user user behavior data and the line on behavioral data, obtain the user preference of each user Feature.
In the embodiment of the present application, by realizing number to service location under line to being monitored in service location under line Word realizes and carries out control processing to service location, user or kinds of goods under line, realizes and effectively, targetedly controls, Improve the operation ability of service location under line.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description, The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
The apparatus embodiments described above are merely exemplary, wherein described, unit can as illustrated by the separation member It is physically separated with being or may not be, component shown as a unit may or may not be physics list Member, it can it is in one place, or may be distributed over multiple network units.It can be selected according to the actual needs In some or all of the modules achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying creativeness Labour in the case where, it can understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on Stating technical solution, substantially the part that contributes to existing technology can be embodied in the form of software products in other words, should Computer software product may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including several fingers It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation Method described in certain parts of example or embodiment.
Finally, it should be noted that above embodiments are only to illustrate the technical solution of the application, rather than its limitations；Although The application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it still may be used To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features； And these are modified or replaceed, each embodiment technical solution of the application that it does not separate the essence of the corresponding technical solution spirit and Range.

Claims (42)

1. a kind of data processing method characterized by comprising
Monitoring enters the user of service location under line；
Acquire the user user behavior data that service location generates under the line；
The user behavior data for analyzing different user, obtains the characteristic of service location under the line；
According to the characteristic of service location under the line, control processing is carried out to service location under the line.
2. the method according to claim 1, wherein the user behavior data includes user location；
The user behavior data of the analysis different user, the characteristic for obtaining service location under the line include:
The user behavior data for analyzing different user in preset time, obtains the user distribution feature of service location under the line；
The characteristic according to service location under the line, carrying out control processing to service location under the line includes:
According to the user distribution feature of service location under the line, control processing is carried out to service location under the line.
3. according to the method described in claim 2, it is characterized in that, the user behavior for analyzing different user in preset time Data, the user distribution feature for obtaining service location under the line include:
User location of the different user under the line in service location in preset time is counted, is determined in the preset time Counting for several times occurs in the user added up on each location point of service location under the line.
4. according to the method described in claim 3, it is characterized in that, the user distribution according to service location under the line is special Sign, carrying out control processing to service location under the line includes:
According to the corresponding user's frequency of occurrence of location point each in service location under the line, determine that user's frequency of occurrence is greater than the The kinds of goods and user's frequency of occurrence of the location point display of one preset times are less than the kinds of goods that the location point of the second preset times displays；
Generate the first adjustment prompt information；The first adjustment prompt information is for instructing controllers to increase user's frequency of occurrence It is pre- less than second greater than the kinds of goods quantity in stock or reduction user's frequency of occurrence of the kinds of goods of the location point display of the first preset times If the kinds of goods quantity in stock for the kinds of goods that the location point of number displays.
5. according to the method described in claim 3, it is characterized in that, the user distribution according to service location under the line is special Sign, carrying out control processing to service location under the line includes:
According to the corresponding user's frequency of occurrence of location point each in service location under the line, determine that user's frequency of occurrence is greater than the Unexpected winner area of the location point place hot spot areas and user's frequency of occurrence of one preset times less than the location point of the second preset times Domain；
Generate second adjustment prompt information；The second adjustment prompt information is for instructing controllers to be based on the hot spot areas And the unexpected winner region, adjust kinds of goods display position.
6. according to the method described in claim 3, it is characterized in that, the user distribution according to service location under the line is special Sign, carrying out control processing to service location under the line includes:
According to the corresponding user's frequency of occurrence of location point each in service location under the line, distribution map is drawn；
It generates and adjusts prompt information comprising the distribution map third；Third adjustment prompt information to instruct controllers by The kinds of goods display position or kinds of goods quantity in stock of service location under institute's line are adjusted according to the distribution map.
7. the method according to claim 1, wherein the user behavior data includes user location；
The analysis user behavior data, the characteristic for obtaining service location under the line include:
The user behavior data for belonging to the different user of same user type in analysis preset time, obtains and services field under the line The user distribution feature of corresponding different user types；
The characteristic according to service location under the line, carrying out control processing to service location under the line includes:
The user distribution feature that different user types are corresponded to according to service location under the line carries out service location under the line Control processing.
8. according to the method described in claim 6, it is characterized in that, belonging to same user type in the analysis preset time The user behavior data of different user obtains the user distribution feature packet that service location under the line corresponds to different user types It includes:
Belong to user location of the different user of same user type under the line in service location in statistics preset time, really It is scheduled in the preset time user added up on each location point of service location under the line to occur counting for several times, to obtain The each location point for stating service location under line corresponds to user's frequency of occurrence of different user types.
9. according to the method described in claim 5, it is characterized in that, described correspond to different user according to service location under the line The user distribution feature of type, carrying out control processing to service location under the line includes:
User's frequency of occurrence of different user types is corresponded to according to different location point in service location under the line, is generated the 4th and is adjusted Whole prompt information；The 4th adjustment prompt information is for instructing controllers to correspond to different user types according to different location point User's frequency of occurrence, in service location under the line carry out kinds of goods display recommend or kinds of goods inventory recommend.
10. according to the described in any item methods of claim 2~9, which is characterized in that the acquisition user is under the line Service location generate user behavior data include:
For be arranged under the line in service location image capture device acquisition user images carry out recognition of face and Position identification, obtains user location of the user under the line in service location.
11. according to the described in any item methods of claim 2~9, which is characterized in that enter the user of service location under the line Configured with corresponding user equipment；
The acquisition user user behavior data that service location generates under the line includes:
The wireless communication that the user equipment of the user received according to the control equipment in the online lower service location of arrangement emits Number and in conjunction with it is described control equipment known location, determine the device location of the user equipment of the user；
Using the device location as user location, to obtain the user location of the user.
12. the method according to claim 1, wherein at least one goods is provided under the line in service location Product try out region；
The user behavior data includes trying out the time on probation in region in the kinds of goods；
The analysis user behavior data, the characteristic for obtaining service location under the line include:
Time on probation based on different user determines that at least one kinds of goods described in service location try out making for region under the line Use situation；
The characteristic according to service location under the line, carrying out control processing to service location under the line includes:
According to the service condition, kinds of goods are carried out to service location under the line and try out region adjustment recommendation.
13. according to the method for claim 12, which is characterized in that the user behavior data further includes taking under the line The residence time being engaged in place；
The time on probation based on different user determines the service condition for trying out region under the line described in service location；
Time and residence time on probation based on different user determine the use for trying out region under the line described in service location Situation.
14. a kind of data processing method characterized by comprising
The kinds of goods that monitoring is displayed into service location under the user of service location under line and the line；
Acquire the user behavior number that each user executes any operation to any kinds of goods in service location under the line and generates According to；
The user behavior data for analyzing each user obtains the user preference feature of each user；
According to the user preference feature of each user, kinds of goods recommendation is carried out to each user.
15. according to the method for claim 14, which is characterized in that each user of acquisition is to service location under the line In any kinds of goods execute it is any operation and generate user behavior data include:
Determine under the line in service location by operation kinds of goods；
The corresponding operation object of each user is determined in operation kinds of goods from described；
Determine the action type for being directed to each operation object；
The user behavior data of each user of analysis, the kinds of goods preference profiles for obtaining each user include:
The corresponding operation object of each user and the action type for the operation object are analyzed, determines the kinds of goods of each user Preference profiles.
16. according to the method for claim 15, which is characterized in that further include:
It obtains and records information on line of each user on line in transaction platform；
The operation object for analyzing each user and the action type for the operation object, determine the user of each user Preference profiles include:
The operation object of each user and the action type for the operation object are analyzed, and is believed in conjunction with being recorded on the line Breath, determines the user preference feature of each user.
17. according to the method for claim 15, which is characterized in that be disposed with display terminal in service location under the line； The display terminal to detect be moved into its position region by operation kinds of goods, and export described by operation kinds of goods pair The association inventory information answered；
The method also includes:
Obtain the mutual-action behavior data that each user that the display terminal acquisition obtains is directed to the association inventory information；
The operation object for analyzing each user and the action type for the operation object, determine the kinds of goods of each user Preference profiles include:
The operation object of each user and the action type for the operation object are analyzed, and combines the interaction row of each user For data, the user preference feature of each user is determined.
18. 4~17 described in any item methods according to claim 1, which is characterized in that the kinds of goods according to each user are inclined Good feature, carrying out kinds of goods recommendation to each user includes:
According to the user preference feature of each user, the recommendation kinds of goods for being directed to each user are determined；
Recommend its corresponding recommendation kinds of goods to each user.
19. according to the method for claim 18, which is characterized in that described to recommend its corresponding recommendation kinds of goods to each user Include:
The kinds of goods recommendation information for recommending kinds of goods is sent to the corresponding user equipment of each user.
20. according to the method for claim 19, which is characterized in that described to send out the kinds of goods recommendation information for recommending kinds of goods It send to the corresponding user equipment of each user and includes:
When detecting each user and being in its corresponding recommendation kinds of goods position region, by the kinds of goods recommendation for recommending kinds of goods Breath is sent to the corresponding user equipment of each user.
21. according to the method for claim 19, which is characterized in that described to send out the kinds of goods recommendation information for recommending kinds of goods It send to the corresponding user equipment of each user and includes:
Current user position and its corresponding kinds of goods position for recommending kinds of goods under the line in service location based on each user, Generate route guidance information；
The corresponding recommendation information comprising the route guidance information of the recommendation kinds of goods of each user is sent to its corresponding use Family equipment.
22. according to the method for claim 18, which is characterized in that service location is disposed with display terminal under the line；
It is described to recommend its corresponding recommendation kinds of goods to include: to each user
When detecting each user and being located at the display terminal position region, by the inventory information for recommending kinds of goods described Display terminal is shown.
23. according to the method for claim 15, which is characterized in that described to be determined each user in operation kinds of goods from described Corresponding operation object includes:
In conjunction with user location of each user under the line in service location and the kinds of goods position by operation kinds of goods, from institute It states and is determined the corresponding operation object of each user in operation kinds of goods.
24. according to the method for claim 14, which is characterized in that further include:
In conjunction with the user preference feature and user type of each user, obtains and service the corresponding population characteristic in field under the line；
According to the population characteristic, kinds of goods display is carried out to service location under the line and is recommended.
25. according to the method for claim 24, which is characterized in that it is described according to the population characteristic, to being taken under the line Business place carries out kinds of goods display recommendation
According to the population characteristic, it is determined for compliance with the kinds of goods type or kinds of goods brand of the population characteristic；
Service location is recommended to display the kinds of goods type or the corresponding kinds of goods of the kinds of goods brand under to the line.
26. according to the method for claim 25, which is characterized in that it is described according to the population characteristic, it is determined for compliance with described The kinds of goods type or kinds of goods brand of population characteristic include:
Determine the history population characteristic of service location historical statistics under the line；
If the history population characteristic of service location is different from current group feature under the line, it is determined for compliance with current group feature Kinds of goods type or kinds of goods brand.
27. a kind of data processing method characterized by comprising
The kinds of goods that monitoring is displayed into service location under the user of service location under line and the line；
Acquire the kinds of goods operation data that each kinds of goods service location under the line is executed operation and generated by any user；
The corresponding kinds of goods operation data of each kinds of goods is analyzed, the kinds of goods temperature feature of each kinds of goods is obtained；
According to the kinds of goods temperature feature of each kinds of goods, kinds of goods display is carried out to service location under the line and is recommended.
28. according to the method for claim 27, which is characterized in that each kinds of goods service location under the line of acquisition Executing the kinds of goods operation data for operating and generating by any user includes:
Each kinds of goods are obtained to be executed corresponding to operation by any user by action type and for by the quilt of each action type Operating frequency.
Described to analyze the corresponding kinds of goods operation data of each kinds of goods, the kinds of goods temperature feature for obtaining each kinds of goods includes:
Based on each kinds of goods it is corresponding by action type and for it is each by action type by operating frequency, determine each kinds of goods Kinds of goods temperature feature.
29. according to the method for claim 27, which is characterized in that the kinds of goods temperature feature according to each kinds of goods is right Under the line service location carry out kinds of goods display recommend include:
According to the kinds of goods temperature feature of each kinds of goods and the display type of each display area, the corresponding display of each kinds of goods is determined Region；
Generate display recommendation information；The display recommendation information is for instructing controllers according to the corresponding display area of each kinds of goods Domain adjusts the kinds of goods display position of each kinds of goods.
30. according to the method for claim 27, which is characterized in that further include:
According to the kinds of goods temperature feature of each kinds of goods, kinds of goods inventory recommendation is carried out to service location under the line.
31. a kind of data processing equipment characterized by comprising
First monitoring module, for monitoring the user for entering service location under line；
First data acquisition module, for acquiring the user user behavior data that service location generates under the line；
Fisrt feature analysis module obtains the spy of service location under the line for analyzing the user behavior data of different user Levy data；
First control processing module, for the characteristic according to service location under the line, to service location under the line into Row control processing.
32. a kind of data processing equipment characterized by comprising
Second monitoring module, the kinds of goods displayed for service location under monitoring into the user of service location under line and the line；
Second data acquisition module executes any behaviour to any kinds of goods in service location under the line for acquiring each user The user behavior data made and generated；
Second feature analysis module, for analyzing the user behavior data of each user, the user preference for obtaining each user is special Sign；
Second control processing module carries out kinds of goods recommendation to each user for the user preference feature according to each user.
33. a kind of data processing equipment characterized by comprising
Third monitoring module, the kinds of goods displayed for service location under monitoring into the user of service location under line and the line；
Third data acquisition module is operated and produced by any user execution for acquiring each kinds of goods service location under the line Raw kinds of goods operation data；
Third feature analysis module obtains the kinds of goods heat of each kinds of goods for analyzing the corresponding kinds of goods operation data of each kinds of goods Spend feature；
Third controls processing module, for the kinds of goods temperature feature according to each kinds of goods, carries out goods to service location under the line Product display is recommended.
34. a kind of calculating equipment, which is characterized in that including storage assembly and processing component；
The storage assembly is for storing one or more computer instruction, wherein one or more computer instruction supplies The processing component, which calls, to be executed；
The processing component is used for:
Monitoring enters the user of service location under line；
Acquire the user user behavior data that service location generates under the line；
The user behavior data for analyzing different user, obtains the characteristic of service location under the line；
According to the characteristic of service location under the line, control processing is carried out to service location under the line.
35. a kind of calculating equipment, which is characterized in that including storage assembly and processing component；
The storage assembly is for storing one or more computer instruction, wherein one or more computer instruction supplies The processing component, which calls, to be executed；
The processing component is used for:
The kinds of goods that monitoring is displayed into service location under the user of service location under line and the line；
Acquire the user behavior number that each user executes any operation to any kinds of goods in service location under the line and generates According to；
The user behavior data for analyzing each user obtains the user preference feature of each user；
According to the user preference feature of each user, kinds of goods recommendation is carried out to each user.
36. a kind of calculating equipment, which is characterized in that including storage assembly and processing component；
The storage assembly is for storing one or more computer instruction, wherein one or more computer instruction supplies The processing component, which calls, to be executed；
The processing component is used for:
The kinds of goods that monitoring is displayed into service location under the user of service location under line and the line；
Acquire the kinds of goods operation data that each kinds of goods service location under the line is executed operation and generated by any user；
The corresponding kinds of goods operation data of each kinds of goods is analyzed, the kinds of goods temperature feature of each kinds of goods is obtained；
According to the kinds of goods temperature feature of each kinds of goods, kinds of goods display is carried out to service location under the line and is recommended.
37. a kind of data processing system, which is characterized in that including calculating equipment and connecting and be arranged in the calculating equipment Monitoring device under line in service location；
The user for calculating equipment and being used to enter using the monitoring device monitoring service location under line；Each user is acquired to exist The user behavior data that service location generates under the line；The user behavior data for analyzing different user, obtains and takes under the line The characteristic in business place；According to the characteristic of service location under the line, service location under the line is carried out at control Reason；
Alternatively,
The kinds of goods displayed using monitoring device monitoring into service location under the user of service location under line and the line；It adopts Collect the user behavior data that each user executes any operation to any kinds of goods in service location under the line and generates；Analysis The user behavior data of each user obtains the user preference feature of each user；According to the user preference feature of each user, Kinds of goods recommendation is carried out to each user；
Alternatively,
The kinds of goods displayed using monitoring device monitoring into service location under the user of service location under line and the line；It adopts Collect the kinds of goods operation data that each kinds of goods service location under the line is executed operation and generated by any user；Analyze each goods The corresponding kinds of goods operation data of product obtains the kinds of goods temperature feature of each kinds of goods；It is right according to the kinds of goods temperature feature of each kinds of goods Service location carries out kinds of goods display recommendation under the line.
38. the system according to claim 37, which is characterized in that the monitoring device includes image capture device；
The monitoring of monitoring device described in the calculating equipment utilization enters the user of service location under line；Each user is acquired described The user behavior data that service location generates under line；The user behavior data for analyzing different user, obtains and services field under the line Characteristic；According to the characteristic of service location under the line, control processing tool is carried out to service location under the line Body is:
User images are acquired using described image acquisition equipment, and recognition of face and position identification are carried out to the user images, Obtain user location of the different user under the line in service location；The user location of different user in preset time is analyzed, Obtain the user distribution feature of service location under the line；According to the user distribution feature of service location under the line, to described Service location carries out control processing under line.
39. the system according to claim 37, which is characterized in that the monitoring device includes control equipment；The system is also Including user equipment；
The monitoring of monitoring device described in the calculating equipment utilization enters the user of service location under line；Each user is acquired described The user behavior data that service location generates under line；The user behavior data for analyzing different user, obtains and services field under the line Characteristic；According to the characteristic of service location under the line, control processing tool is carried out to service location under the line Body is:
According to the wireless signal and knot of any user equipment transmitting that the control equipment in the online lower service location of arrangement receives The known location for closing the control equipment, determines the corresponding user location of any user equipment；It analyzes in preset time not With the user location of user, the user distribution feature of service location under the line is obtained；According to the use of service location under the line Family distribution characteristics carries out control processing to service location under the line.
40. the system according to claim 37, which is characterized in that further include the detection device of each kinds of goods configuration；
The calculating equipment acquires each user and executes any operation to any kinds of goods in service location under the line and generate User behavior data be specifically:
In conjunction with the detection signal of the detection device, determine that each user executes any kinds of goods in service location under the line The user behavior data of any operation and generation.
41. system according to claim 40, which is characterized in that further include the display end in the online lower service location of arrangement End；
The equipment that calculates is also used to determine each user of display terminal acquisition acquisition for the mutual of the association inventory information Dynamic behavioral data；
The user behavior data for calculating each user of device analysis, obtains the user preference feature of each user；According to every The user preference feature of a user is specifically:
In conjunction with each user user behavior data and the line on behavioral data, the user preference for obtaining each user is special Sign.
42. the system according to claim 37, which is characterized in that further include the detection device of each kinds of goods configuration；
The equipment that calculates acquires the kinds of goods that each kinds of goods service location under the line is executed operation and generated by any user Operation data is specifically:
In conjunction with the detection signal of the detection device, determine that each kinds of goods service location under the line by any user executes behaviour The kinds of goods operation data made and generated.
CN201810300402.1A 2018-04-04 2018-04-04 Data processing method, calculates equipment and system at device Pending CN110348869A (en)

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