CN109242580A - Determine the method that market is entered in recommendation of the target brand in given city - Google Patents

Determine the method that market is entered in recommendation of the target brand in given city Download PDF

Info

Publication number
CN109242580A
CN109242580A CN201811435023.XA CN201811435023A CN109242580A CN 109242580 A CN109242580 A CN 109242580A CN 201811435023 A CN201811435023 A CN 201811435023A CN 109242580 A CN109242580 A CN 109242580A
Authority
CN
China
Prior art keywords
market
brand
target brand
relating value
given city
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201811435023.XA
Other languages
Chinese (zh)
Other versions
CN109242580B (en
Inventor
何兴权
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Tengyun World Technology Co Ltd
Original Assignee
Beijing Tengyun World Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Tengyun World Technology Co Ltd filed Critical Beijing Tengyun World Technology Co Ltd
Priority to CN201811435023.XA priority Critical patent/CN109242580B/en
Publication of CN109242580A publication Critical patent/CN109242580A/en
Application granted granted Critical
Publication of CN109242580B publication Critical patent/CN109242580B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • G06Q30/0204Market segmentation
    • G06Q30/0205Location or geographical consideration

Landscapes

  • Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Engineering & Computer Science (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Finance (AREA)
  • Game Theory and Decision Science (AREA)
  • Data Mining & Analysis (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)

Abstract

The method that market is entered in a kind of recommendation the invention discloses determining target brand in given city, suitable for executing in calculating equipment, method is comprising steps of the multiple brands for obtaining given city enter first record in market;Determine the first relating value between target brand and other brands;According to the first relating value and first record between the target brand and other brands, multiple markets in the given city the second relating value between the target brand respectively is determined;According to the second relating value between target brand respectively of multiple markets in the given city, determine that target brand enters market in the recommendation of the given city.The invention also discloses corresponding readable storage medium storing program for executing and calculate equipment.

Description

Determine the method that market is entered in recommendation of the target brand in given city
Technical field
A kind of recommendation the present invention relates to data mining technology field more particularly to determining target brand in given city enters Method, calculating equipment in market.
Background technique
Under the background of market blowout outburst, it is its matter of utmost importance where the selection of brand side, which runs a shop,.It is selected in brand During entering market, commercial circle analysis, surrounding enviroment, traffic condition, the density of population, position purchasing power, industry situation layout, objective group The services such as excavation, brand portrait are all pain spots.
For this purpose, link brand side and project side become the new demand of industry, one of them important aspect be for brand side into Row enters recommendation service.
Consider following brand side's addressing scene:
Brand A achieves success as an emerging apparel brand in south, in many cities in south, plans now by industry Business is expanded to certain city of northern China, to make up the market vacancy, then, it in the selection process, if referred to using traditional method Competing product brand B addressing is run a shop, and brand B is followed to enter identical or approximate market.
Using following the policy selection of competing product to enter market, considers that dimension is more single, not comprehensive enough, there is certain blindness Property.
Summary of the invention
For this purpose, the present invention provides, the method in market is entered in a kind of recommendation of determining target brand in given city and calculating is set It is standby, with try hard to solve the problems, such as or at least alleviate above it is existing at least one.
According to an aspect of an embodiment of the present invention, a kind of recommendation of determining target brand in given city is provided to enter The method in market, suitable for executing in calculating equipment, method includes: that multiple brands of acquisition given city enter the first of market Record;According to the first relating value and the first record between predetermined target brand and other brands, determine to specify The multiple markets in city incity the second relating value between target brand respectively;According to multiple markets in given city respectively with The second relating value between target brand determines that target brand enters market in the recommendation of given city.
Optionally it is determined that the step of the first relating value between target brand and other brands include: obtain it is existing more A multiple brands in city incity enter second record in market;According to second record, analysis target brand respectively with other brands Between the first relating value.
Optionally, according to the second record analysis target brand respectively the first relating value between other brands the step of wrap It includes: according to the second record, calculating the probability of occurrence of each brand, and calculate target brand and occur simultaneously with other brands respectively Probability;The probability of occurrence of the probability and each brand that are occurred simultaneously with other brands respectively according to target brand, determines mesh Mark brand the first relating value between other brands respectively.
Optionally, it further comprises the steps of: according to the method for the present invention according to default first condition, updates the second record;According to Updated second record, recalculates first relating value of the target brand respectively between other brands.
Optionally, it according to the first relating value and the first record between target brand and other brands, determines to specify The multiple markets in city incity respectively the second relating value between target brand the step of include: according to target brand and other product The first relating value and the first record between board, count multiple markets in given city has entered brand and target product The sum of first relating value of board obtains multiple markets in given city the second relating value between target brand respectively.
Optionally, the sum of first relating value for having entered brand Yu target brand in multiple markets in given city is counted The step of include: to arrange first relating value for having entered brand and the target brand in multiple markets in given city Sequence;First relating value of the preceding first specified digit after obtaining sequence;Count the sum of the first relating value of preceding first specified digit.
Optionally, according to multiple markets in given city respectively the second relating value between target brand, determine The step of market is entered in recommendation of the target brand in given city include: according to multiple markets in given city respectively with target The second relating value between brand sorts to each market according to the second relating value size;According to ranking results, target is determined Market is entered in recommendation of the brand in given city.
Optionally, the step of market is entered in recommendation of the target brand in given city is determined according to ranking results, comprising: The market of the preceding second specified digit after obtaining sequence;The market of second specified digit before after sequence is filtered, with row Except having entered market;Judge whether remaining market number is greater than preset threshold, if so, recommending remaining market;Otherwise, increase by the The number of two specified digits, and filter again, until remaining market number is greater than preset threshold.
Optionally, output is further comprised the steps of: according to the method for the present invention to recommend to enter the title in market, corresponding second pass Connection value, association brand and the first relating value for being associated with brand.
Optionally, it further comprises the steps of: according to the method for the present invention according to default second condition, updates the first record;According to Updated first record, redefines multiple markets in given city the second relating value between target brand respectively.
Other side according to an embodiment of the present invention provides a kind of readable storage medium storing program for executing, is suitable for storage one or more A program, one or more programs are configured as being referred to by calculating equipment execution determining target brand according to an embodiment of the present invention Determine the method that market is entered in the recommendation in city.
According to an embodiment of the present invention there are one aspects, provide a kind of calculating equipment, comprising: one or more processing Device;Memory;And one or more programs, wherein one or more programs are stored in memory and are configured as by one Or multiple processors execute the method that market is entered in recommendation of the determining target brand according to an embodiment of the present invention in given city.
The method that market is entered in recommendation of the determining target brand according to an embodiment of the present invention in given city, by counting greatly According to analysis, multiple markets in target cities the second relating value between the target brand respectively is counted, second is closed The foundation that the height of connection value is recommended as market, compared to traditional mode for following competing product to enter market, enrich decision according to According to improving the management ability of target brand.
Detailed description of the invention
To the accomplishment of the foregoing and related purposes, certain illustrative sides are described herein in conjunction with following description and drawings Face, these aspects indicate the various modes that can practice principles disclosed herein, and all aspects and its equivalent aspect It is intended to fall in the range of theme claimed.Read following detailed description in conjunction with the accompanying drawings, the disclosure it is above-mentioned And other purposes, feature and advantage will be apparent.Throughout the disclosure, identical appended drawing reference generally refers to identical Component or element.
Fig. 1 is exemplarily illustrated the structural block diagram for calculating equipment 100;
Fig. 2 is exemplarily illustrated recommendation of the determining target brand according to an embodiment of the invention in given city and enters The flow chart of the method 200 in market;
Fig. 3 be exemplarily illustrated set the goal really accord to a specific embodiment of that present invention brand given city recommendation Enter the flow chart of the method 300 in market.
Specific embodiment
Exemplary embodiments of the present disclosure are described in more detail below with reference to accompanying drawings.Although showing the disclosure in attached drawing Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here It is limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure It is fully disclosed to those skilled in the art.
Fig. 1 is the method for being arranged as realizing that determining target brand according to the present invention enters market in the recommendation of given city Example Computing Device 100 block diagram.In basic configuration 102, calculates equipment 100 and typically comprise system storage 106 With one or more processor 104.Memory bus 108 can be used between processor 104 and system storage 106 Communication.
Depending on desired configuration, processor 104 can be any kind of processing, including but not limited to: microprocessor ((μ P), microcontroller (μ C), digital information processor (DSP) or any combination of them.Processor 104 may include all Cache, processor core such as one or more rank of on-chip cache 110 and second level cache 112 etc 114 and register 116.Exemplary processor core 114 may include arithmetic and logical unit (ALU), floating-point unit (FPU), Digital signal processing core (DSP core) or any combination of them.Exemplary Memory Controller 118 can be with processor 104 are used together, or in some implementations, and Memory Controller 118 can be an interior section of processor 104.
Depending on desired configuration, system storage 106 can be any type of memory, including but not limited to: easily The property lost memory (RAM), nonvolatile memory (ROM, flash memory etc.) or any combination of them.System storage Device 106 may include operating system 120, one or more program 122 and program data 124.In some embodiments, Program 122 can be configured as to be referred to by one or more processor 104 using the execution of program data 124 on an operating system It enables.
Calculating equipment 100 can also include facilitating from various interface equipments (for example, output equipment 142, Peripheral Interface 144 and communication equipment 146) to basic configuration 102 via the communication of bus/interface controller 130 interface bus 140.Example Output equipment 142 include graphics processing unit 148 and audio treatment unit 150.They can be configured as facilitate via One or more port A/V 152 is communicated with the various external equipments of such as display or loudspeaker etc.Outside example If interface 144 may include serial interface controller 154 and parallel interface controller 156, they, which can be configured as, facilitates Via one or more port I/O 158 and such as input equipment (for example, keyboard, mouse, pen, voice-input device, touch Input equipment) or the external equipment of other peripheral hardwares (such as printer, scanner etc.) etc communicated.Exemplary communication is set Standby 146 may include network controller 160, can be arranged to convenient for via one or more communication port 164 and one A or multiple other calculate communication of the equipment 162 by network communication link.
Network communication link can be an example of communication media.Communication media can be usually presented as in such as carrier wave Or computer readable instructions, data structure, program module in the modulated data signal of other transmission mechanisms etc, and can To include any information delivery media." modulated data signal " can such signal, one in its data set or more It is a or it change can the mode of encoded information in the signal carry out.As unrestricted example, communication media can be with Wired medium including such as cable network or private line network etc, and it is such as sound, radio frequency (RF), microwave, infrared (IR) the various wireless mediums or including other wireless mediums.Term computer-readable medium used herein may include depositing Both storage media and communication media.
Calculating equipment 100 can be implemented as a part of portable (or mobile) electronic equipment of small size, these electronics are set The standby such as cellular phone, personal digital assistant (PDA), personal media player device, wireless network browsing apparatus, a of can be People's helmet, application specific equipment or may include any of the above function mixing apparatus.Calculating equipment 100 can be with Be embodied as include desktop computer and notebook computer configuration personal computer.
Wherein, the one or more programs 122 for calculating equipment 100 include for executing a kind of determining mesh according to the present invention Mark the instruction that the method in market is entered in recommendation of the brand in given city.
Fig. 2 illustrates recommendation of the determining target brand according to an embodiment of the invention in given city and enters quotient The flow chart of the method 200 of field.As shown in Fig. 2, determining that the beginning of method 200 in market is entered in recommendation of the target brand in given city In step S210.
In step S210, the multiple brands for obtaining given city enter first record in market, including each of given city The branding data entered in a market and each market.
Then in step S220, according to the first relating value between predetermined target brand and other brands, with And first record, determine multiple markets in given city the second relating value between target brand respectively.Wherein, target The first relating value between brand and other brands should predefine.According to a kind of embodiment, target brand and other product are determined The step of the first relating value between board includes: the second note for obtaining existing multiple multiple brands in city incity and entering market Record;According to the second record, target brand the first relating value between other brands respectively is analyzed.Wherein, existing multiple cities The multiple brands in incity enter second record in market, each market and each quotient including multiple cities in the whole country The branding data entered in.
According to a kind of embodiment, according to the second record, target brand first being associated with respectively between other brands is analyzed The step of value include: the probability of occurrence of each brand is calculated according to the second record, and calculate target brand respectively with other product The probability that board occurs simultaneously;The probability that is occurred simultaneously with other brands respectively according to target brand and each brand Probability of occurrence determines first relating value of the target brand respectively between other brands.Wherein, the first relating value is apriori The corresponding lift value of association algorithm, association algorithm are a kind of frequent item set algorithms of Mining Association Rules, and core concept is logical The downward closing for crossing candidate generation and plot detects two stages and carrys out Mining Frequent Itemsets Based, and algorithm has been widely applied to Commercially, the every field such as network security.Lift value meets following formula:
In the specific calculating process of the present embodiment, support sup p (X ∪ Y)=p (X ∪ Y), sup p (X)=p (X), Sup p (Y)=p (Y), i.e. lift are expressed as two brands reality while the probability occurred and two brands as mutually indepedent thing The ratio of the probability occurred simultaneously when part illustrates that two brands have correlation, lift is bigger, and correlation is got over as lift > 1 By force.
Such as: assuming that there are tetra- markets A, B, C, D in Beijing, the brand that each market has been entered is as follows:
Market A: brand A;
Market B: brand A, brand B;
Market C: brand A;
Market D: brand B;
Sup p (X ∪ Y) indicates the ratio that brand A, brand B occur simultaneously, calculated result 0.25.
According to a kind of embodiment, method is further comprised the steps of: according to default first condition, updates the second record;According to update The second record afterwards, recalculates first relating value of the target brand respectively between other brands.In the present embodiment, the is preset One condition can be preset time interval, such as update the second record according to mensal condition.By regularly updating Two records, recalculate the first relating value, it can be ensured that the first relating value can accurately reflect between the brand of Vehicles Collected from Market Correlation degree.
According to a kind of embodiment, according to the first relating value and the first record between target brand and other brands, really Make multiple markets in given city respectively the second relating value between the target brand the step of, comprising: according to mesh The first relating value and the first record between brand and other brands are marked, having entered for multiple markets in given city is counted In the sum of the first relating value of brand and the target brand, obtain multiple markets in given city respectively with target brand it Between the second relating value.Such as: the first relating value of target brand A and other brand B, C, D, E are respectively 2,3,4,5, market A Brand B, C, D have been entered, market B has entered brand C, D, E, then the second relating value of market A is 2+3+4=9, and the of market B Two relating values are 3+4+5=12.
It should be noted that the present invention can also take the mode other than summation to calculate the second relating value, for example, by using weighting The mode of summation;In addition, the algorithm that other expression degree of association features can also be used calculates the first relating value.
According to a kind of embodiment, in order to avoid megastore compared to mini-marts because of caused by more than brand number second Brand styles feature in market is accurately expressed in the bigger influence of relating value, counts having entered for multiple markets in given city It the step of in the sum of the first relating value of brand and the target brand, specifically includes: to multiple markets in given city The first relating value for having entered brand and the target brand is ranked up;First of the preceding first specified digit after obtaining sequence Relating value (preceding first specific bit numerical example first 15 in this way, but not limited to this);Count the first relating value of preceding first specified digit The sum of.
Then in step S230, according to second being associated with respectively between target brand of multiple markets in given city Value, determines that target brand enters market in the recommendation of the given city.Specifically, step S230 includes: according to specified city The multiple markets in incity the second relating value between target brand respectively, to each market according to the big float of the second relating value Sequence;According to ranking results, determine that target brand enters market in the recommendation of given city.The present embodiment realize by with target Recommend user in the highest several markets of the brand degree of association.
According to a kind of embodiment, according to ranking results, determine that target brand enters market in the recommendation of given city Step, comprising: (preceding second specific bit numerical example is first 10 in this way, but unlimited in the market of the preceding second specified digit after obtaining sequence In this);The market of second specified digit before after sequence is filtered, to exclude to have entered market;Judge remaining market Whether number is greater than preset threshold, if so, recommending remaining market;Otherwise, increase the number of the second specified digit, and mistake again Filter, until remaining market number is greater than preset threshold.The present embodiment realize by with the highest target product of the target brand degree of association Recommend user in several markets that board is not yet entered.Such as: preceding 10 market is taken according to the sequence of the second relating value, and filters and has entered Market is recommended if the market ratio of filtering is greater than 50% with+5 ratio incremental calculations in market.
According to a kind of embodiment, method further comprises the steps of: output and recommends to enter the title in market, corresponding second association Value, association brand and the first relating value for being associated with brand.The present embodiment will determine that recommendation of the target brand in given city is entered The calculated result of the method in market is shown, and is used convenient for target brand client in analysis, decision.
According to a kind of embodiment, method is further comprised the steps of: according to default second condition, updates the first record;According to update The first record afterwards, redefines multiple markets in given city the second relating value between the target brand respectively. In the present embodiment, default second condition can be preset time interval, such as update the second note according to mensal condition Record;Default second condition can be identical as default first condition, can also be different.By regularly updating the first record, count again Calculate the second relating value, it can be ensured that the second relating value can accurately reflect the market of Vehicles Collected from Market and target brand is associated with journey Degree.
Specific embodiments of the present invention determine target brand pushing away in given city as shown in figure 3, in this specific embodiment It recommends and enters the method 300 in market and start from step S301.
In step S301, the national market brand initial data of acquisition includes city, brand, mall information etc..Subsequent root According to step S301 obtain initial data, execute step S302, S303, S304, extract required city market branding data, The market branding data of target branding data and the whole nation.
Then in step S306, according to nationwide data, first between target brand and other brands is counted Relating value, the characterization as full dose brand incidence relation.
Then in step S307, the incidence relation in market and target brand is calculated, is specifically taken 15 before the first relating value Brand and summation, the characterization as market and the incidence relation of target brand.
Step S308, S309, S310 have entered market for excluding target brand, and maintain in final recommendation market Number.
The data such as city, market, brand due to S301~S310 are usually indicated in the database with ID, in S311 In, it is also necessary to it realizes the mapping of ID and real information, finally pushes the information such as market title, address, recommendation, association brand To user.
It should be noted that method 300 is the further explanation to method 200, therefore correlative detail is no longer gone to live in the household of one's in-laws on getting married herein It states, can refer to the specific descriptions previously for method 200.
According to a particular embodiment of the invention, big data and machine learning techniques are based on, get deeply involved in business scene, realizes product Board enters recommendation service, changes the status that traditional blindness follows competing product selection to enter store, in the specific implementation process, this hair Bright to have a characteristic that 1, based on data dimensions such as acquired each market retail shop data, including brand, position, data are monthly It updates, there is preferable fresh and alive degree and accuracy;2, it being calculated using machine learning apriori association algorithm, method is mature, Processing is efficient;3, in conjunction with actual scene, several brands calculate relating value before being taken as unit of market, and market, mistake have been entered in consideration The factors such as filter ratio have stronger operability.
It should be appreciated that various technologies described herein are realized together in combination with hardware or software or their combination.From And some aspects or part of the process and apparatus of the present invention or the process and apparatus of the present invention can take the tangible matchmaker of insertion It is situated between, such as the program code in floppy disk, CD-ROM, hard disk drive or other any machine readable storage mediums (refers to Enable) form, wherein when program is loaded into the machine of such as computer etc, and when being executed by the machine, which becomes real Trample equipment of the invention.
In the case where program code executes on programmable computers, calculates equipment and generally comprise processor, processor Readable storage medium (including volatile and non-volatile memory and or memory element), at least one input unit, and extremely A few output device.Wherein, memory is configured for storage program code;Processor is configured for according to the memory Instruction in the program code of middle storage executes various methods of the invention.
By way of example and not limitation, computer-readable medium includes computer storage media and communication media.It calculates Machine readable medium includes computer storage media and communication media.Computer storage medium storage such as computer-readable instruction, The information such as data structure, program module or other data.Communication media is generally modulated with carrier wave or other transmission mechanisms etc. Data-signal processed passes to embody computer readable instructions, data structure, program module or other data including any information Pass medium.Above any combination is also included within the scope of computer-readable medium.
It should be appreciated that in order to simplify the disclosure and help to understand one or more of the various inventive aspects, it is right above In the description of exemplary embodiment of the present invention, each feature of the invention be grouped together into sometimes single embodiment, figure or In person's descriptions thereof.However, the disclosed method should not be interpreted as reflecting the following intention: i.e. claimed hair Bright requirement is than feature more features expressly recited in each claim.More precisely, as the following claims As book reflects, inventive aspect is all features less than single embodiment disclosed above.Therefore, it then follows specific real Thus the claims for applying mode are expressly incorporated in the specific embodiment, wherein each claim itself is used as this hair Bright separate embodiments.
Those skilled in the art should understand that the module of the equipment in example disclosed herein or unit or groups Part can be arranged in equipment as depicted in this embodiment, or alternatively can be positioned at and the equipment in the example In different one or more equipment.Module in aforementioned exemplary can be combined into a module or furthermore be segmented into multiple Submodule.
Those skilled in the art will understand that can be carried out adaptively to the module in the equipment in embodiment Change and they are arranged in one or more devices different from this embodiment.It can be the module or list in embodiment Member or component are combined into a module or unit or component, and furthermore they can be divided into multiple submodule or subelement or Sub-component.Other than such feature and/or at least some of process or unit exclude each other, it can use any Combination is to all features disclosed in this specification (including adjoint claim, abstract and attached drawing) and so disclosed All process or units of what method or apparatus are combined.Unless expressly stated otherwise, this specification is (including adjoint power Benefit require, abstract and attached drawing) disclosed in each feature can carry out generation with an alternative feature that provides the same, equivalent, or similar purpose It replaces.
The present invention discloses together:
A9, the method as described in A8, wherein further comprise the steps of: output and recommend to enter the title in market, corresponding second pass Connection value, association brand and the first relating value for being associated with brand.
A10, method as described in a1, wherein further comprise the steps of: according to default second condition, update the first record;According to Updated first record, redefines multiple markets in given city the second relating value between target brand respectively.
In addition, it will be appreciated by those of skill in the art that although some embodiments described herein include other embodiments In included certain features rather than other feature, but the combination of the feature of different embodiments mean it is of the invention Within the scope of and form different embodiments.For example, in the following claims, embodiment claimed is appointed Meaning one of can in any combination mode come using.
In addition, be described as herein can be by the processor of computer system or by executing by some in the embodiment The combination of method or method element that other devices of the function are implemented.Therefore, have for implementing the method or method The processor of the necessary instruction of element forms the device for implementing this method or method element.In addition, Installation practice Element described in this is the example of following device: the device be used for implement as in order to implement the purpose of the invention element performed by Function.
As used in this, unless specifically stated, come using ordinal number " first ", " second ", " third " etc. Description plain objects, which are merely representative of, is related to the different instances of similar object, and is not intended to imply that the object being described in this way must Must have the time it is upper, spatially, sequence aspect or given sequence in any other manner.
Although the embodiment according to limited quantity describes the present invention, above description, the art are benefited from It is interior it is clear for the skilled person that in the scope of the present invention thus described, it can be envisaged that other embodiments.Additionally, it should be noted that Language used in this specification primarily to readable and introduction purpose and select, rather than in order to explain or limit Determine subject of the present invention and selects.Therefore, without departing from the scope and spirit of the appended claims, for this Many modifications and changes are obvious for the those of ordinary skill of technical field.For the scope of the present invention, to this Invent done disclosure be it is illustrative and not restrictive, it is intended that the scope of the present invention be defined by the claims appended hereto.

Claims (10)

1. the method that market is entered in a kind of recommendation of determining target brand in given city, suitable for being executed in calculating equipment, institute The method of stating includes:
The multiple brands for obtaining given city enter first record in market;
According to the first relating value and first record between predetermined target brand and other brands, determine Multiple markets in the given city the second relating value between the target brand respectively;
According to the second relating value between target brand respectively of multiple markets in the given city, target brand is determined Market is entered in recommendation in the given city.
2. the step of the method for claim 1, wherein determining the first relating value between target brand and other brands Include:
Obtain the second record that existing multiple multiple brands in city incity enter market;
According to second record, target brand the first relating value between other brands respectively is analyzed.
3. method according to claim 2, wherein it is described according to second record, analysis target brand respectively with other brands Between the first relating value the step of include:
According to second record, the probability of occurrence of each brand is calculated, and to calculate target brand same with other brands respectively When the probability that occurs;
The probability of occurrence of the probability and each brand that are occurred simultaneously with other brands respectively according to the target brand, really The brand that sets the goal the first relating value between other brands respectively.
4. method according to claim 2, wherein further comprise the steps of:
According to default first condition, second record is updated;
According to updated second record, first relating value of the target brand respectively between other brands is recalculated.
5. the method for claim 1, wherein according to the first relating value between the target brand and other brands, And first record, determine multiple markets in the given city second closing respectively between the target brand The step of connection value includes:
According to the first relating value and first record between the target brand and other brands, count described specified The sum of first relating value for having entered brand Yu the target brand in the multiple markets in city incity, obtains in the given city Multiple markets the second relating value between the target brand respectively.
6. method as claimed in claim 5, wherein count multiple markets in the given city has entered brand and institute The step of stating the sum of the first relating value of target brand include:
First relating value for having entered brand and the target brand in multiple markets in the given city is ranked up;
First relating value of the preceding first specified digit after obtaining sequence;
Count the sum of the first relating value of the preceding first specified digit.
7. the method for claim 1, wherein according to multiple markets in the given city respectively with target brand it Between the second relating value, determine that target brand includes: the step of market is entered in the recommendation of the given city
According to the second relating value between target brand respectively of multiple markets in the given city, to each market according to The sequence of second relating value size;
According to ranking results, determine that target brand enters market in the recommendation of given city.
8. the method for claim 7, wherein described to determine target brand pushing away in given city according to ranking results Recommending the step of entering market includes:
The market of the preceding second specified digit after obtaining sequence;
The market of second specified digit before after the sequence is filtered, to exclude to have entered market;
Judge whether remaining market number is greater than preset threshold, if so, recommending the remaining market;Otherwise, increase described the The number of two specified digits, and filter again, until remaining market number is greater than preset threshold.
9. a kind of readable storage medium storing program for executing, is suitable for storing one or more programs, one or more of programs are configured as by counting It calculates equipment and executes the side that market is entered in such as recommendation of the determining target brand of any of claims 1-8 in given city Method.
10. a kind of calculating equipment, comprising:
One or more processors;
Memory;And
One or more programs, wherein one or more of programs are stored in the memory and are configured as by described one A or multiple processors are executed as recommendation of the determining target brand of any of claims 1-8 in given city is entered The method in market.
CN201811435023.XA 2018-11-28 2018-11-28 Method for determining recommended emporium of target brand in specified city Active CN109242580B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811435023.XA CN109242580B (en) 2018-11-28 2018-11-28 Method for determining recommended emporium of target brand in specified city

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811435023.XA CN109242580B (en) 2018-11-28 2018-11-28 Method for determining recommended emporium of target brand in specified city

Publications (2)

Publication Number Publication Date
CN109242580A true CN109242580A (en) 2019-01-18
CN109242580B CN109242580B (en) 2020-12-29

Family

ID=65074316

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811435023.XA Active CN109242580B (en) 2018-11-28 2018-11-28 Method for determining recommended emporium of target brand in specified city

Country Status (1)

Country Link
CN (1) CN109242580B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111210309A (en) * 2020-01-03 2020-05-29 上海丙晟科技有限公司 Empty berth recommendation system based on market big data

Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103440589A (en) * 2013-09-17 2013-12-11 上海商学院 Store site selection system and method
CN103679489A (en) * 2012-09-10 2014-03-26 腾讯科技(深圳)有限公司 Item-based collaborative recommendation method and system
CN104820699A (en) * 2015-05-08 2015-08-05 上海玖道信息科技股份有限公司 Intelligent site selecting tracking system
CN104915860A (en) * 2015-06-10 2015-09-16 无线生活(杭州)信息科技有限公司 Commodity recommendation method and device
CN104965920A (en) * 2015-07-08 2015-10-07 百度在线网络技术(北京)有限公司 Method and apparatus for determining target address
CN106548367A (en) * 2016-10-12 2017-03-29 电子科技大学 The site selection model and its applied research of multi-source data
CN106779074A (en) * 2017-01-22 2017-05-31 腾云天宇科技(北京)有限公司 Market brand combination prediction method and prediction server
CN106920107A (en) * 2017-01-26 2017-07-04 武汉奇米网络科技有限公司 A kind of commercial binding method and system
CN107330735A (en) * 2017-07-04 2017-11-07 百度在线网络技术(北京)有限公司 Method and apparatus for determining association shops
CN107766984A (en) * 2017-10-27 2018-03-06 郑州云海信息技术有限公司 The optimal addressing system and method for businessman based on cloud computing
CN108009677A (en) * 2017-11-29 2018-05-08 黑龙江鑫联华信息股份有限公司 A kind of site selecting method
CN108062623A (en) * 2017-12-12 2018-05-22 福建中金在线信息科技有限公司 Western-style restaurant's market site selecting method, apparatus and system
CN108446944A (en) * 2018-02-05 2018-08-24 北京三快在线科技有限公司 A kind of the determination method, apparatus and electronic equipment in resident city
CN108537166A (en) * 2018-04-08 2018-09-14 上海天壤智能科技有限公司 The method and apparatus for determining shelf pageview and analyzing pageview
CN108876032A (en) * 2018-06-12 2018-11-23 阿里巴巴集团控股有限公司 A kind of data processing method, device, equipment and the system of object addressing

Patent Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103679489A (en) * 2012-09-10 2014-03-26 腾讯科技(深圳)有限公司 Item-based collaborative recommendation method and system
CN103440589A (en) * 2013-09-17 2013-12-11 上海商学院 Store site selection system and method
CN104820699A (en) * 2015-05-08 2015-08-05 上海玖道信息科技股份有限公司 Intelligent site selecting tracking system
CN104915860A (en) * 2015-06-10 2015-09-16 无线生活(杭州)信息科技有限公司 Commodity recommendation method and device
CN104965920A (en) * 2015-07-08 2015-10-07 百度在线网络技术(北京)有限公司 Method and apparatus for determining target address
CN106548367A (en) * 2016-10-12 2017-03-29 电子科技大学 The site selection model and its applied research of multi-source data
CN106779074A (en) * 2017-01-22 2017-05-31 腾云天宇科技(北京)有限公司 Market brand combination prediction method and prediction server
CN106920107A (en) * 2017-01-26 2017-07-04 武汉奇米网络科技有限公司 A kind of commercial binding method and system
CN107330735A (en) * 2017-07-04 2017-11-07 百度在线网络技术(北京)有限公司 Method and apparatus for determining association shops
CN107766984A (en) * 2017-10-27 2018-03-06 郑州云海信息技术有限公司 The optimal addressing system and method for businessman based on cloud computing
CN108009677A (en) * 2017-11-29 2018-05-08 黑龙江鑫联华信息股份有限公司 A kind of site selecting method
CN108062623A (en) * 2017-12-12 2018-05-22 福建中金在线信息科技有限公司 Western-style restaurant's market site selecting method, apparatus and system
CN108446944A (en) * 2018-02-05 2018-08-24 北京三快在线科技有限公司 A kind of the determination method, apparatus and electronic equipment in resident city
CN108537166A (en) * 2018-04-08 2018-09-14 上海天壤智能科技有限公司 The method and apparatus for determining shelf pageview and analyzing pageview
CN108876032A (en) * 2018-06-12 2018-11-23 阿里巴巴集团控股有限公司 A kind of data processing method, device, equipment and the system of object addressing

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111210309A (en) * 2020-01-03 2020-05-29 上海丙晟科技有限公司 Empty berth recommendation system based on market big data

Also Published As

Publication number Publication date
CN109242580B (en) 2020-12-29

Similar Documents

Publication Publication Date Title
Benidt et al. SimSeq: a nonparametric approach to simulation of RNA-sequence datasets
CN107153847A (en) Predict method and computing device of the user with the presence or absence of malicious act
CN108108821A (en) Model training method and device
CN107786943B (en) User grouping method and computing device
CN109189991A (en) Repeat video frequency identifying method, device, terminal and computer readable storage medium
CN108038500B (en) Clustering method, apparatus, computer device, storage medium, and program product
CN107229951A (en) Predict method and computing device of the user with the presence or absence of malicious act
CN110413888A (en) A kind of books recommended method and device
Lee et al. DeepFinder: An integration of feature-based and deep learning approach for DNA motif discovery
Yong et al. Discovery of small protein complexes from PPI networks with size-specific supervised weighting
CN106909560A (en) Point of interest sort method
Lian et al. Identification of partially linear structure in additive models with an application to gene expression prediction from sequences
CN111506755A (en) Picture set classification method and device
CN111831894A (en) Information matching method and device
CN115391561A (en) Method and device for processing graph network data set, electronic equipment, program and medium
Mewhort et al. Sharpening the echo: An iterative‐resonance model for short‐term recognition memory
CN104899232B (en) The method and apparatus of Cooperative Clustering
CN109242580A (en) Determine the method that market is entered in recommendation of the target brand in given city
CN113449160A (en) Intelligent data screening method, device, equipment and medium
CN112632210A (en) Method, system and storage medium for managing geographic information big data
CN106844690B (en) A kind of data distributing method, device and calculate equipment
CN112445978A (en) Electronic book pushing method, electronic equipment and storage medium
CN117197618A (en) Image classification model training data selection method and device and image classification method
CN107679222A (en) Image processing method, mobile terminal and computer-readable recording medium
CN106611339B (en) Seed user screening method, and product user influence evaluation method and device

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CP02 Change in the address of a patent holder
CP02 Change in the address of a patent holder

Address after: 100027 302, 3 / F, aviation service building, Dongzhimen street, Dongcheng District, Beijing

Patentee after: BEIJING TENDCLOUD TIANXIA TECHNOLOGY Co.,Ltd.

Address before: Room 2104, 2 / F, building 4, 75 Suzhou street, Haidian District, Beijing 100027

Patentee before: BEIJING TENDCLOUD TIANXIA TECHNOLOGY Co.,Ltd.

PE01 Entry into force of the registration of the contract for pledge of patent right

Denomination of invention: Methods for determining the recommended market entry of target brands in designated cities

Effective date of registration: 20220622

Granted publication date: 20201229

Pledgee: Beijing Yizhuang International Financing Guarantee Co.,Ltd.

Pledgor: BEIJING TENDCLOUD TIANXIA TECHNOLOGY CO.,LTD.

Registration number: Y2022980008462

PE01 Entry into force of the registration of the contract for pledge of patent right
PC01 Cancellation of the registration of the contract for pledge of patent right

Date of cancellation: 20230721

Granted publication date: 20201229

Pledgee: Beijing Yizhuang International Financing Guarantee Co.,Ltd.

Pledgor: BEIJING TENDCLOUD TIANXIA TECHNOLOGY CO.,LTD.

Registration number: Y2022980008462

PC01 Cancellation of the registration of the contract for pledge of patent right
PE01 Entry into force of the registration of the contract for pledge of patent right

Denomination of invention: Method for determining the recommended entry of target brands into shopping malls in designated cities

Effective date of registration: 20230810

Granted publication date: 20201229

Pledgee: Beijing Yizhuang International Financing Guarantee Co.,Ltd.

Pledgor: BEIJING TENDCLOUD TIANXIA TECHNOLOGY CO.,LTD.

Registration number: Y2023980051562

PE01 Entry into force of the registration of the contract for pledge of patent right