CN108241628A - Keywords matching range control method and device and showing advertisement method and apparatus - Google Patents

Keywords matching range control method and device and showing advertisement method and apparatus Download PDF

Info

Publication number
CN108241628A
CN108241628A CN201611206106.2A CN201611206106A CN108241628A CN 108241628 A CN108241628 A CN 108241628A CN 201611206106 A CN201611206106 A CN 201611206106A CN 108241628 A CN108241628 A CN 108241628A
Authority
CN
China
Prior art keywords
keyword
term
traffic vector
controlled
user
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
CN201611206106.2A
Other languages
Chinese (zh)
Other versions
CN108241628B (en
Inventor
张傲
孙凯
鹿增辉
郭方方
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.)
Baidu Online Network Technology Beijing Co Ltd
Beijing Baidu Netcom Science and Technology Co Ltd
Original Assignee
Beijing Baidu Netcom Science and 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 Baidu Netcom Science and Technology Co Ltd filed Critical Beijing Baidu Netcom Science and Technology Co Ltd
Priority to CN201611206106.2A priority Critical patent/CN108241628B/en
Publication of CN108241628A publication Critical patent/CN108241628A/en
Application granted granted Critical
Publication of CN108241628B publication Critical patent/CN108241628B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/951Indexing; Web crawling techniques
    • 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
    • G06Q30/0241Advertisements
    • G06Q30/0242Determining effectiveness of advertisements
    • G06Q30/0244Optimization
    • 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
    • G06Q30/0241Advertisements
    • G06Q30/0277Online advertisement

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Development Economics (AREA)
  • Strategic Management (AREA)
  • Finance (AREA)
  • Theoretical Computer Science (AREA)
  • Accounting & Taxation (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Game Theory and Decision Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Databases & Information Systems (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The application proposes that a kind of Keywords matching range control method and device and showing advertisement method and apparatus, the Keywords matching range control method include:User to be controlled is determined according to the budget depletion rate of acquired each user;Calculate the triggering mass figures for each keyword that the user to be controlled is bought;Keyword to be controlled is determined according to the triggering mass figures of each keyword;Reduce the matching range of the keyword to be controlled.This method can not need to human intervention and be automatically performed control when balancing cost and flow, meet the needs of user is to optimization promotion effect.

Description

Keywords matching range control method and device and showing advertisement method and apparatus
Technical field
This application involves Internet technical field more particularly to a kind of Keywords matching range control method and device and extensively Announcement shows method and apparatus.
Background technology
In search engine marketing (search engine marketing, SEM) system, the keyword of advertiser's purchase Matching range there are incidence relations with flow.Specifically, when being set as accurately matching, and if only if netizen term with Showing for triggering advertisement is likely to when keyword is completely the same, conversely, when being set as wide in range matching, as long as the term of netizen To keyword reache a certain level it is related when can trigger showing advertisement.Therefore, the matching range of keyword is brought more greatly Flow it is more.On the other hand, the matching range of keyword and advertiser need the cost spent there is also incidence relation, generally For, matching range is more wide in range, and the cost needed is higher.
In the relevant technologies, advertiser usually artificially adjusts matching range, to balance cost and flow, realizes that effect is promoted in optimization Fruit.But with the raising increased with human cost of keyword quantity, advertiser artificially adjusts matching range and is pushed away to optimize The mode of wide effect is more and more hard to work.
Invention content
The application is intended to solve at least some of the technical problems in related technologies.
For this purpose, the purpose of the application is to propose a kind of Keywords matching range control method, this method can be It when balancing cost and flow, does not need to human intervention and is automatically performed control, meet the needs of user is to optimization promotion effect.
Further object is to propose a kind of showing advertisement method.
In order to achieve the above objectives, the Keywords matching range control method that the application first aspect embodiment proposes, including: User to be controlled is determined according to the budget depletion rate of acquired each user;Calculate the user to be controlled bought it is each The triggering mass figures of a keyword;Keyword to be controlled is determined according to the triggering mass figures of each keyword;Described in diminution The matching range of keyword to be controlled.
The application first aspect embodiment propose Keywords matching range control method, by determine user to be controlled and Keyword to be controlled and the matching range for reducing keyword to be controlled can not need to be artificial when balancing cost and flow Intervene and be automatically performed control, meet the needs of user is to optimization promotion effect.
In order to achieve the above objectives, the Keywords matching scope control device that the application second aspect embodiment proposes, including: First determining module, for determining user to be controlled according to the budget depletion rate of acquired each user;Computing module is used In the triggering mass figures of each keyword that the calculating user to be controlled is bought;Second determining module, for according to each The triggering mass figures of a keyword determine keyword to be controlled;Control module, for reducing of the keyword to be controlled With range.
The application second aspect embodiment propose Keywords matching scope control device, by determine user to be controlled and Keyword to be controlled and the matching range for reducing keyword to be controlled can not need to be artificial when balancing cost and flow Intervene and be automatically performed control, meet the needs of user is to optimization promotion effect.
In order to achieve the above objectives, the showing advertisement method that the application third aspect embodiment proposes, including:Receive retrieval Word;According to the matching range of each keyword, determine and the matched keyword of the term;Keyword pair determined by showing The advertisement answered;Wherein, the matching range of each keyword such as the application first aspect embodiment any one of them method carries out Control.
The showing advertisement method that the application third aspect embodiment proposes, by showing advertisement, to of keyword It is controlled with range, can not be needed to human intervention when balancing cost and flow and be automatically performed control, promote advertisement exhibition Existing effect.
In order to achieve the above objectives, the showing advertisement device that the application fourth aspect embodiment proposes, including:Receiving module, For receiving term;Determining module for the matching range according to each keyword, determines and the matched pass of the term Keyword;Display module, for showing the corresponding advertisement of identified keyword;Wherein, the matching range of each keyword is as originally Application first aspect embodiment any one of them method is controlled.
The showing advertisement device that the application fourth aspect embodiment proposes, by showing advertisement, to of keyword It is controlled with range, can not be needed to human intervention when balancing cost and flow and be automatically performed control, promote advertisement exhibition Existing effect.
The embodiment of the present application also proposed a kind of equipment, including:One or more processors;For storing one or more The memory of program;When one or more of programs are performed by one or more of processors so that it is one or Multiple processors perform the application first aspect embodiment any one of them method.
The embodiment of the present application also proposed a kind of non-transitorycomputer readable storage medium, when in the storage medium When one or more programs are performed by the one or more processors of equipment so that one or more of processors perform this Shen It please first aspect embodiment any one of them method.
The embodiment of the present application also proposed a kind of computer program product, when the computer program product is by equipment When one or more processors perform so that one or more of processors perform any one of the application first aspect embodiment The method.
The embodiment of the present application also proposed a kind of equipment, including:One or more processors;For storing one or more The memory of program;When one or more of programs are performed by one or more of processors so that it is one or Multiple processors perform the application third aspect embodiment any one of them method.
The embodiment of the present application also proposed a kind of non-transitorycomputer readable storage medium, when in the storage medium When one or more programs are performed by the one or more processors of equipment so that one or more of processors perform this Shen It please third aspect embodiment any one of them method.
The embodiment of the present application also proposed a kind of computer program product, when the computer program product is by equipment When one or more processors perform so that one or more of processors perform any one of the application third aspect embodiment The method.
The additional aspect of the application and advantage will be set forth in part in the description, and will partly become from the following description It obtains significantly or is recognized by the practice of the application.
Description of the drawings
The application is above-mentioned and/or additional aspect and advantage will become from the following description of the accompanying drawings of embodiments Significantly and it is readily appreciated that, wherein:
Fig. 1 is the flow diagram for the Keywords matching range control method that the application one embodiment proposes;
Fig. 2 is the flow diagram of the Keywords matching range control method of the application another embodiment proposition;
Fig. 3 is the flow diagram of the method for the triggering mass figures that current key word is calculated in the embodiment of the present application;
Fig. 4 is the schematic diagram for the correlation score that traffic vector and term are calculated in the embodiment of the present application;
Fig. 5 is the flow diagram for the showing advertisement method that the application one embodiment proposes;
Fig. 6 is the structure diagram for the Keywords matching scope control device that the application one embodiment proposes;
Fig. 7 is the structure diagram for the showing advertisement device that the application one embodiment proposes.
Specific embodiment
Embodiments herein is described below in detail, the example of the embodiment is shown in the drawings, wherein from beginning to end Same or similar label represents same or similar module or the module with same or like function.Below with reference to attached The embodiment of figure description is exemplary, and is only used for explaining the application, and it is not intended that limitation to the application.On the contrary, this The embodiment of application includes falling into all changes in the range of the spirit and intension of attached claims, modification and equivalent Object.
Fig. 1 is the flow diagram for the Keywords matching range control method that the application one embodiment proposes.
The method of the present embodiment can be applied to promote in marketing system online, as being applied in SEM system.
The embodiment of the present application is by taking SEM system as an example.
As shown in Figure 1, the method for the present embodiment includes:
S11:User to be controlled is determined according to the budget depletion rate of acquired each user.
Such as in SEM system, above-mentioned user can specifically refer to advertiser, correspondingly, gray promotion message is Advertisement.
Budget of the budget depletion rate for consumption in preset time period, for example, the fund consumed per hour.
Specifically, each advertiser can be corresponded to, detects the fund before being consumed in its account and in the default unit interval Duan Hou detects the remaining amount of money in account and, as the fund after consumption, calculates between the fund before consumption and the fund after consumption Difference, using the difference as the numerical value of budget depletion rate.
When determining user to be controlled according to budget depletion rate, depletion rate threshold value can be pre-set, budget is disappeared The advertiser that consumption speed is more than depletion rate threshold value is determined as user to be controlled.
S12:Calculate the triggering mass figures for each keyword that the user to be controlled is bought.
One or more keywords can pre-purchase in advertiser, and the keyword specifically bought can be according to advertiser's demand It determines, for example advertiser is the site for selling fresh flower, then can buy the keywords such as fresh flower, rose.
After each keyword bought in user to be controlled determines, the triggering mass number of each keyword can be calculated Value.It is understood that calculating herein is not limited in line computation, can also refer to directly acquire each key calculated The triggering mass figures of word.For example, after the keyword of purchase determines, the triggering mass number of each keyword can be precalculated Value, so as to which after user to be controlled determines, the triggering quality for each keyword that user to be controlled is bought can be directly acquired Numerical value.
The triggering mass figures of keyword are used to evaluate the triggering quality of keyword, triggering quality and flow positive correlation, example Such as, if a keyword can trigger more flows, the triggering quality of the keyword is more excellent, correspondingly, the keyword Triggering mass figures it is bigger.
The circular of the triggering mass figures of keyword may refer to subsequent descriptions.
S13:Keyword to be controlled is determined according to the triggering mass figures of each keyword.
When determining keyword to be controlled according to triggering mass figures, quality threshold can be pre-set, quality will be triggered The keyword that numerical value is less than quality threshold is determined as keyword to be controlled.
S14:Reduce the matching range of the keyword to be controlled.
A variety of matching ranges, such as accurate matching, wide in range matching can be pre-configured with, wherein, accurate matched matching model It encloses less than wide in range matching, if so as to which current matching range is wide in range matching, it, then will matching if necessary to reduce matching range Range is revised as accurately matching.Current matching range adjusts to obtain from initial matching range according to control method, initially Matching range is setting.It is understood that if keyword is not keyword to be controlled, the keyword can be kept Matching range is constant.
It is understood that in actual implementation, wide in range matching can be finely divided, for example, according to matching range from small To that can include the wide in range matching of the first order, the wide in range matching in the second level etc. greatly, specifically such as, the wide in range matching of the first order and the second level are wide in range Matching refer respectively to term and keyword correlation values reach 80% and 50% after can trigger showing advertisement;Accordingly , if current matching range is the wide in range matching in the second level, after needing to reduce matching range, then matching range can be repaiied It is changed to the matching of the first level width.
Further, it when reducing matching range, can reduce step by step, for example wide in range matching is revised as first from the second level The wide in range matching of grade, alternatively, multiple ranks can also be reduced, for example wide in range matching is revised as accurate general matching from the second level, specifically It can be set according to application demand.
In the present embodiment, by determining user to be controlled according to budget depletion rate, it can find to need what is controlled in time User avoids the budget of user from comparatively fast ruing out of, and then extends the online hours of the promotion message of user;By according to triggering matter Numerical quantity determines keyword to be controlled and reduces the matching range of keyword to be controlled, since the smaller cost of usual matching range is got over Low, so as to reduce the cost needed for keyword to be controlled, and then it is higher the cost under saving can be triggered quality Keyword, and higher flow is brought by the higher keyword of triggering quality, so as to ensure user under certain budget Obtain more flows.The present embodiment is by determining user to be controlled and keyword to be controlled and reducing keyword to be controlled Matching range, cost can balanced and during flow, do not needing to human intervention and be automatically performed control, meet user to optimizing The demand of promotion effect.
Fig. 2 is the flow diagram of the Keywords matching range control method of the application another embodiment proposition.
As shown in Fig. 2, the method for the present embodiment includes:
S21:Corresponding each advertiser, determines each keyword that the advertiser is bought, and calculate each keyword Trigger mass figures.
It, can be current by calculating using each keyword as current key word when calculating triggering mass figures The triggering mass figures of keyword obtain the triggering mass figures of each keyword.
Calculate the specific with referring to shown in subsequent Fig. 3 of the method for the triggering mass figures of current key word.
S22:Each gray budget depletion rate is obtained, and advertisement to be controlled is determined according to the budget depletion rate Quotient.
S23:The triggering mass figures for each keyword that the advertiser to be controlled is bought are obtained, and according to the number Value determines keyword to be controlled.
S24:Reduce the matching range of the keyword to be controlled.
The particular content of S22-S24 may refer to the associated description of above-described embodiment, and this will not be detailed here.
As shown in figure 3, the method for calculating the triggering mass figures of current key word can include:
S31:Historical data is excavated, obtains the current key word matched each inspection under Different matching range Rope word.
Term refers to the word that netizen uses search engine to input.By being recorded to netizen's behavior, pass can be obtained The matching relationship of keyword and term for example, after netizen inputs term A, triggers showing for the corresponding advertisements of keyword B, It can then obtain including term A with the matched terms of keyword B.The rest may be inferred, by the excavation to a large amount of historical datas, It can obtain the matched each term of current key word.
As shown in Figure 3, it is assumed that the term of acquisition shares M.
S32:The traffic vector for the user for buying the current key word is obtained, the traffic vector includes one or more Traffic vector word.
By user for that can be in advance each advertiser's configuration service vector, so as to according to configuration for advertiser Traffic vector described in acquisition of information.As shown in Figure 3, it is assumed that traffic vector shares V.
S33:Corresponding each traffic vector calculates the correlation score of the traffic vector and each term.
Assuming that corresponding j-th of traffic vector (1<=j<=V), j-th of traffic vector and i-th of term (1<=i< =M) correlation score scoreijIt represents.
As shown in figure 4, above-mentioned scoreijComputational methods can include:It calculates each in the term and the traffic vector After the correlation score of a traffic vector word, then the operation that average, the degree of correlation of the traffic vector and the term is obtained Numerical value.Shown in calculation formula such as formula (1):
Wherein, qiFor i-th of term,For n-th of traffic vector word of j-th of traffic vector,For N-th of traffic vector word correlation score of i-th of term and j-th of traffic vector.In the related number of degrees for calculating two words During value, such as word is first converted into term vector, then calculates the distance between two term vectors value, such as COS distance, will calculated Correlation score of the distance value arrived as two words.
S34:Corresponding each traffic vector, according to calculating the correlation score of the traffic vector and each term The mass figures of traffic vector.
It specifically, can be using the traffic vector and the mean value of the correlation score of each term as the traffic vector Mass figures.Shown in calculation formula such as formula (2).
Wherein, qualityjMass figures for j-th of traffic vector.
S35:The triggering mass figures of the current key word are calculated according to the mass figures of each traffic vector.
Specifically, the maximum value in the mass figures of each traffic vector can be determined as the triggering of current key word Mass figures.Shown in calculation formula such as formula (3).
Q=max (qualityj) (3)
Wherein, Q is the triggering mass figures of current key word.
The control to the matching range of keyword can be completed through the above.
Further, which can be applied in showing advertisement.
Fig. 5 is the flow diagram for the showing advertisement method that the application one embodiment proposes.
As shown in figure 5, the method for the present embodiment includes:
S51:Receive term.
For example, receive the term that netizen is input in search box.
S52:According to the matching range of each keyword, determine and the matched keyword of the term.
For example, calculating the correlation score of term and each keyword respectively, corresponded to if the correlation score meets Matching range requirement, it is determined that the term and the Keywords matching.Specific matching process may refer to various related skills Art, this will not be detailed here.
Corresponding each keyword, the initial value of the matching range of the keyword can be pre-set, and the matching range It is not changeless, can be controlled such as the method shown in above-described embodiment.
S53:The corresponding advertisement of keyword determined by showing.
For example, matched keyword is the keyword that fresh flower shop is bought, then show the advertisement in the fresh flower shop.
It, can be in balance cost by showing advertisement, controlling the matching range of keyword in the present embodiment It during with flow, does not need to human intervention and is automatically performed control, promote showing advertisement effect.
Fig. 6 is the structure diagram for the Keywords matching scope control device that the application one embodiment proposes.
As shown in fig. 6, the device 60 of the present embodiment includes:First determining module 61, computing module 62, the second determining module 63 and control module 64.
First determining module 61, for determining user to be controlled according to the budget depletion rate of acquired each user;
Computing module 62, for calculating the triggering mass figures for each keyword that the user to be controlled is bought;
Second determining module 63 determines keyword to be controlled for the triggering mass figures according to each keyword;
Control module 64, for reducing the matching range of the keyword to be controlled.
In some embodiments, the computing module 62 is specifically used for:
Using each keyword as current key word, and corresponding current key word performs following content:
Historical data is excavated, obtains the current key word matched each retrieval under Different matching range Word;
The traffic vector for the user for buying the current key word is obtained, the traffic vector includes one or more business To quantifier;
Corresponding each traffic vector calculates the correlation score of the traffic vector and each term;
Corresponding each traffic vector calculates the business according to the correlation score of the traffic vector and each term The mass figures of vector;
The triggering mass figures of the current key word are calculated according to the mass figures of each traffic vector.
In some embodiments, the correlation score of the calculating traffic vector and each term includes:
Corresponding each term, calculates the related number of degrees of the term to traffic vector word each in the traffic vector Value;
The mean value of the term and the correlation score of each traffic vector word in the traffic vector is calculated, by described in Mean value is determined as the correlation score of the traffic vector and each term.
It is described that the business is calculated according to the correlation score of the traffic vector and each term in some embodiments The mass figures of vector include:
The traffic vector and the mean value of the correlation score of each term are calculated, the mean value is determined as the industry The mass figures of business vector.
In some embodiments, the triggering matter that the current key word is calculated according to the mass figures of each traffic vector Numerical quantity includes:
By the maximum value in the mass figures of each traffic vector, it is determined as the triggering mass number of the current key word Value.
In some embodiments, first determining module 61 is used for:
Budget depletion rate is more than to the user of preset threshold value, is determined as user to be controlled.
In some embodiments, second determining module 63 is used for:
The triggering mass figures of each keyword are less than the keyword of preset quality threshold, are determined as key to be controlled Word.
It is understood that the device of the present embodiment is corresponding with above method embodiment, particular content may refer to method The associated description of embodiment, is no longer described in detail herein.
In the present embodiment, by determining user to be controlled and keyword to be controlled and reducing of keyword to be controlled With range, it can not need to human intervention when balancing cost and flow and be automatically performed control, meet user and optimization is promoted The demand of effect.
Fig. 7 is the structure diagram for the showing advertisement device that the application one embodiment proposes
As shown in fig. 7, the device 70 of the present embodiment includes:Receiving module 71, determining module 72 and display module 73.
Receiving module 71, for receiving term;
Determining module 72 for the matching range according to each keyword, determines and the matched keyword of the term;
Display module 73, for showing the corresponding advertisement of identified keyword;
Wherein, control method of the matching range of each keyword as shown in above-described embodiment is controlled.
It is understood that the device of the present embodiment is corresponding with above method embodiment, particular content may refer to method The associated description of embodiment, is no longer described in detail herein.
It, can be in balance cost by showing advertisement, controlling the matching range of keyword in the present embodiment It during with flow, does not need to human intervention and is automatically performed control, promote showing advertisement effect.
The embodiment of the present application also proposed a kind of equipment, including:One or more processors;For storing one or more The memory of program;When one or more of programs are performed by one or more of processors so that it is one or Multiple processors perform:The budget depletion rate of each user is obtained, and use to be controlled is determined according to the budget depletion rate Family;The triggering mass figures for each keyword that the user to be controlled is bought are obtained, and are determined according to the numerical value to be controlled Keyword processed;Reduce the matching range of the keyword to be controlled.
The embodiment of the present application also proposed a kind of non-transitorycomputer readable storage medium, when in the storage medium When one or more programs are performed by the one or more processors of equipment so that one or more of processors perform:It obtains The budget depletion rate of each user is taken, and user to be controlled is determined according to the budget depletion rate;It obtains described to be controlled The triggering mass figures for each keyword that user is bought, and keyword to be controlled is determined according to the numerical value;Described in diminution The matching range of keyword to be controlled.
The embodiment of the present application also proposed a kind of computer program product, when the computer program product is by equipment When one or more processors perform so that one or more of processors perform:Obtain the budget consumption speed of each user Degree, and user to be controlled is determined according to the budget depletion rate;Obtain each keyword that the user to be controlled is bought Triggering mass figures, and keyword to be controlled is determined according to the numerical value;Reduce the matching range of the keyword to be controlled.
The embodiment of the present application also proposed a kind of equipment, including:One or more processors;For storing one or more The memory of program;When one or more of programs are performed by one or more of processors so that it is one or Multiple processors perform:Receive term;According to the matching range of each keyword, determine and the matched key of the term Word;The corresponding advertisement of keyword determined by showing;Wherein, the matching range of each keyword is controlled with the following method System:The budget depletion rate of each user is obtained, and user to be controlled is determined according to the budget depletion rate;It is treated described in acquisition The triggering mass figures of each keyword that control user is bought, and keyword to be controlled is determined according to the numerical value;It reduces The matching range of the keyword to be controlled.
The embodiment of the present application also proposed a kind of non-transitorycomputer readable storage medium, when in the storage medium When one or more programs are performed by the one or more processors of equipment so that one or more of processors perform:It connects Receive term;According to the matching range of each keyword, determine and the matched keyword of the term;Show identified pass The corresponding advertisement of keyword;Wherein, the matching range of each keyword is controlled with the following method:Obtain the pre- of each user Depletion rate is calculated, and user to be controlled is determined according to the budget depletion rate;Obtain the user to be controlled bought it is each The triggering mass figures of a keyword, and keyword to be controlled is determined according to the numerical value;Reduce the keyword to be controlled Matching range.
The embodiment of the present application also proposed a kind of computer program product, when the computer program product is by equipment When one or more processors perform so that one or more of processors perform:Receive term;According to each keyword Matching range, determine with the matched keyword of the term;The corresponding advertisement of keyword determined by showing;Wherein, respectively The matching range of a keyword is controlled with the following method:The budget depletion rate of each user is obtained, and according to described Budget depletion rate determines user to be controlled;Obtain the triggering mass number for each keyword that the user to be controlled is bought Value, and keyword to be controlled is determined according to the numerical value;Reduce the matching range of the keyword to be controlled.
It is understood that same or similar part can mutually refer in the various embodiments described above, in some embodiments Unspecified content may refer to the same or similar content in other embodiment.
It should be noted that in the description of the present application, term " first ", " second " etc. are only used for description purpose, without It is understood that indicate or implying relative importance.In addition, in the description of the present application, unless otherwise indicated, the meaning of " multiple " Refer at least two.
Any process described otherwise above or method description are construed as in flow chart or herein, represent to include Module, segment or the portion of the code of the executable instruction of one or more the step of being used to implement specific logical function or process Point, and the range of the preferred embodiment of the application includes other realization, wherein can not press shown or discuss suitable Sequence, including according to involved function by it is basic simultaneously in the way of or in the opposite order, to perform function, this should be by the application Embodiment person of ordinary skill in the field understood.
It should be appreciated that each section of the application can be realized with hardware, software, firmware or combination thereof.Above-mentioned In embodiment, software that multiple steps or method can in memory and by suitable instruction execution system be performed with storage Or firmware is realized.If for example, with hardware come realize in another embodiment, can be under well known in the art Any one of row technology or their combination are realized:With for the logic gates to data-signal realization logic function Discrete logic, have suitable combinational logic gate circuit application-specific integrated circuit, programmable gate array (PGA), scene Programmable gate array (FPGA) etc..
Those skilled in the art are appreciated that realize all or part of step that above-described embodiment method carries Suddenly it is that relevant hardware can be instructed to complete by program, described program can be stored in a kind of computer readable storage medium In, the program when being executed include embodiment of the method the step of one or a combination set of.
In addition, each functional unit in each embodiment of the application can be integrated in a processing module, it can also That each unit is individually physically present, can also two or more units be integrated in a module.Above-mentioned integrated mould The form that hardware had both may be used in block is realized, can also be realized in the form of software function module.The integrated module is such as Fruit is realized in the form of software function module and is independent product sale or in use, can also be stored in a computer In read/write memory medium.
Storage medium mentioned above can be read-only memory, disk or CD etc..
In the description of this specification, reference term " one embodiment ", " example ", " is specifically shown " some embodiments " The description of example " or " some examples " etc. means specific features, structure, material or the spy for combining the embodiment or example description Point is contained at least one embodiment or example of the application.In the present specification, schematic expression of the above terms are not Centainly refer to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be any One or more embodiments or example in combine in an appropriate manner.
Although embodiments herein has been shown and described above, it is to be understood that above-described embodiment is example Property, it is impossible to the limitation to the application is interpreted as, those of ordinary skill in the art within the scope of application can be to above-mentioned Embodiment is changed, changes, replacing and modification.

Claims (18)

1. a kind of Keywords matching range control method, which is characterized in that including:
User to be controlled is determined according to the budget depletion rate of acquired each user;
Calculate the triggering mass figures for each keyword that the user to be controlled is bought;
Keyword to be controlled is determined according to the triggering mass figures of each keyword;
Reduce the matching range of the keyword to be controlled.
2. the according to the method described in claim 1, it is characterized in that, each pass for calculating the user to be controlled and being bought The triggering mass figures of keyword include:
Using each keyword as current key word, and corresponding current key word performs following content:
Historical data is excavated, obtains the current key word matched each term under Different matching range;
The traffic vector for the user for buying the current key word is obtained, the traffic vector includes one or more traffic vectors Word;
Corresponding each traffic vector calculates the correlation score of the traffic vector and each term;
Corresponding each traffic vector calculates the traffic vector according to the correlation score of the traffic vector and each term Mass figures;
The triggering mass figures of the current key word are calculated according to the mass figures of each traffic vector.
3. according to the method described in claim 2, it is characterized in that, described calculate the traffic vector and the phase of each term Number of degrees value is closed to include:
Corresponding each term calculates the correlation score of the term and each traffic vector word in the traffic vector;
The mean value of the term and the correlation score of each traffic vector word in the traffic vector is calculated, by the mean value It is determined as the correlation score of the traffic vector and each term.
It is 4. according to the method described in claim 2, it is characterized in that, described according to the traffic vector and the phase of each term The mass figures of traffic vector include described in the degree numerical computations of pass:
Calculate the mean value of the correlation score of the traffic vector and each term, by the mean value be determined as the business to The mass figures of amount.
5. according to the method described in claim 2, it is characterized in that, described calculate institute according to the mass figures of each traffic vector The triggering mass figures for stating current key word include:
By the maximum value in the mass figures of each traffic vector, it is determined as the triggering mass figures of the current key word.
6. the according to the method described in claim 1, it is characterized in that, budget consumption speed of each user acquired in the basis Degree determines that user to be controlled includes:
Budget depletion rate is more than to the user of preset threshold value, is determined as user to be controlled.
7. according to the method described in claim 1, it is characterized in that, the triggering mass figures according to each keyword determine Keyword to be controlled includes:
The triggering mass figures of each keyword are less than the keyword of preset quality threshold, are determined as keyword to be controlled.
A kind of 8. showing advertisement method, which is characterized in that including:
Receive term;
According to the matching range of each keyword, determine and the matched keyword of the term;
The corresponding advertisement of keyword determined by showing;
Wherein, the matching range of each keyword such as claim 1-7 any one of them method is controlled.
9. a kind of Keywords matching scope control device, which is characterized in that including:
First determining module, for determining user to be controlled according to the budget depletion rate of acquired each user;
Computing module, for calculating the triggering mass figures for each keyword that the user to be controlled is bought;
Second determining module determines keyword to be controlled for the triggering mass figures according to each keyword;
Control module, for reducing the matching range of the keyword to be controlled.
10. device according to claim 9, which is characterized in that the computing module is specifically used for:
Using each keyword as current key word, and corresponding current key word performs following content:
Historical data is excavated, obtains the current key word matched each term under Different matching range;
The traffic vector for the user for buying the current key word is obtained, the traffic vector includes one or more traffic vectors Word;
Corresponding each traffic vector calculates the correlation score of the traffic vector and each term;
Corresponding each traffic vector calculates the traffic vector according to the correlation score of the traffic vector and each term Mass figures;
The triggering mass figures of the current key word are calculated according to the mass figures of each traffic vector.
11. device according to claim 10, which is characterized in that described to calculate the traffic vector and each term Correlation score includes:
Corresponding each term calculates the correlation score of the term and each traffic vector word in the traffic vector;
The mean value of the term and the correlation score of each traffic vector word in the traffic vector is calculated, by the mean value It is determined as the correlation score of the traffic vector and each term.
12. device according to claim 10, which is characterized in that described according to the traffic vector and each term The mass figures that correlation score calculates the traffic vector include:
Calculate the mean value of the correlation score of the traffic vector and each term, by the mean value be determined as the business to The mass figures of amount.
13. device according to claim 10, which is characterized in that described to be calculated according to the mass figures of each traffic vector The triggering mass figures of the current key word include:
By the maximum value in the mass figures of each traffic vector, it is determined as the triggering mass figures of the current key word.
14. device according to claim 9, which is characterized in that first determining module is used for:
Budget depletion rate is more than to the user of preset threshold value, is determined as user to be controlled.
15. device according to claim 9, which is characterized in that second determining module is used for:
The triggering mass figures of each keyword are less than the keyword of preset quality threshold, are determined as keyword to be controlled.
16. a kind of showing advertisement device, which is characterized in that including:
Receiving module, for receiving term;
Determining module for the matching range according to each keyword, determines and the matched keyword of the term;
Display module, for showing the corresponding advertisement of identified keyword;
Wherein, the matching range of each keyword such as claim 1-7 any one of them method is controlled.
17. a kind of equipment, which is characterized in that including:
One or more processors;For storing the memory of one or more programs;
When one or more of programs are performed by one or more of processors so that one or more of processors Perform such as claim 1-7 any one of them methods.
18. a kind of equipment, which is characterized in that including:
One or more processors;For storing the memory of one or more programs;
When one or more of programs are performed by one or more of processors so that one or more of processors Perform method as claimed in claim 8.
CN201611206106.2A 2016-12-23 2016-12-23 Keyword matching range control method and device and advertisement display method and device Active CN108241628B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201611206106.2A CN108241628B (en) 2016-12-23 2016-12-23 Keyword matching range control method and device and advertisement display method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201611206106.2A CN108241628B (en) 2016-12-23 2016-12-23 Keyword matching range control method and device and advertisement display method and device

Publications (2)

Publication Number Publication Date
CN108241628A true CN108241628A (en) 2018-07-03
CN108241628B CN108241628B (en) 2022-02-18

Family

ID=62704218

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201611206106.2A Active CN108241628B (en) 2016-12-23 2016-12-23 Keyword matching range control method and device and advertisement display method and device

Country Status (1)

Country Link
CN (1) CN108241628B (en)

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101329675A (en) * 2007-06-19 2008-12-24 百度在线网络技术(北京)有限公司 Method and system for matching web page advertisement
US20110040616A1 (en) * 2009-08-14 2011-02-17 Yahoo! Inc. Sponsored search bid adjustment based on predicted conversion rates
CN102236711A (en) * 2011-06-30 2011-11-09 百度在线网络技术(北京)有限公司 Method and equipment for determining displayed information corresponding to promotion keyword
CN102446171A (en) * 2010-09-30 2012-05-09 百度在线网络技术(北京)有限公司 Method and apparatus for evaluating quality score of promotion key word based on weighted average click-through rate
CN102479193A (en) * 2010-11-22 2012-05-30 百度在线网络技术(北京)有限公司 Method and equipment for match search popularization based on match bid coefficient
CN102902671A (en) * 2011-07-25 2013-01-30 腾讯科技(深圳)有限公司 Search method and device for advertising system
CN103354556A (en) * 2013-06-20 2013-10-16 北京百度网讯科技有限公司 Message prompt method used for realizing sharing user and equipment thereof
CN103514186A (en) * 2012-06-20 2014-01-15 百度在线网络技术(北京)有限公司 Method and device for determining popularization requirement category of popularization unit
CN103514191A (en) * 2012-06-20 2014-01-15 百度在线网络技术(北京)有限公司 Method and device for determining keyword matching mode of target popularization information
CN104484393A (en) * 2014-12-12 2015-04-01 北京国双科技有限公司 Keyword regulation method and device

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101329675A (en) * 2007-06-19 2008-12-24 百度在线网络技术(北京)有限公司 Method and system for matching web page advertisement
US20110040616A1 (en) * 2009-08-14 2011-02-17 Yahoo! Inc. Sponsored search bid adjustment based on predicted conversion rates
CN102446171A (en) * 2010-09-30 2012-05-09 百度在线网络技术(北京)有限公司 Method and apparatus for evaluating quality score of promotion key word based on weighted average click-through rate
CN102479193A (en) * 2010-11-22 2012-05-30 百度在线网络技术(北京)有限公司 Method and equipment for match search popularization based on match bid coefficient
CN102236711A (en) * 2011-06-30 2011-11-09 百度在线网络技术(北京)有限公司 Method and equipment for determining displayed information corresponding to promotion keyword
CN102902671A (en) * 2011-07-25 2013-01-30 腾讯科技(深圳)有限公司 Search method and device for advertising system
CN103514186A (en) * 2012-06-20 2014-01-15 百度在线网络技术(北京)有限公司 Method and device for determining popularization requirement category of popularization unit
CN103514191A (en) * 2012-06-20 2014-01-15 百度在线网络技术(北京)有限公司 Method and device for determining keyword matching mode of target popularization information
CN103354556A (en) * 2013-06-20 2013-10-16 北京百度网讯科技有限公司 Message prompt method used for realizing sharing user and equipment thereof
CN104484393A (en) * 2014-12-12 2015-04-01 北京国双科技有限公司 Keyword regulation method and device

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
ADMIN: ""提高Google AdWords质量得分技巧"", 《HTTP://WWW.GOOGLEAD168.COM/GUGEYOUHUA62.HTML》 *
何俊辉: ""基于点击流模型的网络广告点击行为激励研究"", 《管理学报》 *
张铭芮 等: ""移动互联网广告推荐算法研究"", 《电信科学》 *

Also Published As

Publication number Publication date
CN108241628B (en) 2022-02-18

Similar Documents

Publication Publication Date Title
US20200272913A1 (en) Recommendation Method and Apparatus
CN110033314B (en) Advertisement data processing method and device
US10180968B2 (en) Gaussian ranking using matrix factorization
US20200285937A1 (en) Consumption capacity prediction
CN103971170B (en) The method and apparatus that a kind of change being used for characteristic information is predicted
US20190073699A1 (en) Matching visitors as leads to lead buyers
CN105306539B (en) Service information display control method and device and Internet service information display platform
CN109213936B (en) Commodity searching method and device
CN108921587B (en) Data processing method and device and server
CN102880696A (en) Advertisement placement
US11144968B2 (en) Systems and methods for controlling online advertising campaigns
US20150262231A1 (en) Generating apparatus, generation method, information processing method and program
CN111222902B (en) Advertisement putting method, device, system, computing equipment and storage medium
CN113222656B (en) Programmed advertisement putting method, system, device, equipment and storage medium
CN107527128B (en) Resource parameter determination method and equipment for advertisement platform
US20140337125A1 (en) Learn budgeting in online advertising auction exchanges
CN112348590A (en) Method and device for determining value of article, electronic equipment and storage medium
CN108241628A (en) Keywords matching range control method and device and showing advertisement method and apparatus
Ewerhart A model of the Eurosystem's operational framework for monetary policy implementation
CN111210274A (en) Advertisement recommendation method and system
US20150294326A1 (en) Generating apparatus, selecting apparatus, generation method, selection method and program
US11062355B2 (en) Mitigation of perishable product waste through promotion recommendation
US20190362374A1 (en) Markdown optimization system
KR102394096B1 (en) System for deriving optimized search formula using artificial intelligence and operation method thereof
US10917310B2 (en) Modeling distribution of digital components over a network

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