CN104298789B - The division methods and device of keyword - Google Patents
The division methods and device of keyword Download PDFInfo
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- CN104298789B CN104298789B CN201410641630.7A CN201410641630A CN104298789B CN 104298789 B CN104298789 B CN 104298789B CN 201410641630 A CN201410641630 A CN 201410641630A CN 104298789 B CN104298789 B CN 104298789B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
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Abstract
The invention discloses a kind of division methods of keyword and device.The division methods of the keyword include：Obtain the history achievement data for being used to characterize the use state of keyword of keyword；Performance trend according to the use state of history achievement data analysis of key word；Judge whether performance trend is propradation；If performance trend is propradation, keyword is divided into first kind vocabulary；And if performance trend is non-increasing state, then keyword is divided into the second class vocabulary.By the present invention, solve the problems, such as that division keyword is inaccurate in the prior art, efficiency is low, reached the effect of accurate division keyword.
Description
Technical field
The present invention relates to internet arena, in particular to the division methods and device of a kind of keyword.
Background technology
During SEM is promoted, keyword can be divided to determine which kind of keyword can be to promoting
The structure of account forms active influence, for example, the structure of account can be optimized by being divided into the keyword of heavy duty word, and improves
Conversion ratio.The sorting technique of popularization word is substantially at present manually divides to word, empirically comes to carry out keyword
Division, for example, keyword is divided into heavy duty word and chicken ribs word, the high word of general number of clicks is taken as heavy duty word, on the contrary
Exactly compare the word of chicken ribs.But the method for this artificial division is inaccurate and efficiency is very low, division heavy duty word is in fact
It is the factor of many aspects to be integrated, therefore heavy duty word may be divided into chicken ribs word by artificial division, or chicken ribs word is drawn
It is divided into heavy duty word, so as to influence whole structure of accounts, and conversion ratio etc..
For keyword in the prior art division it is inaccurate, efficiency is low the problem of, not yet propose effective solve at present
Scheme.
The content of the invention
It is a primary object of the present invention to provide the division methods and device of a kind of keyword, to solve to close in the prior art
The problem of division of keyword is inaccurate, efficiency is low.
To achieve these goals, according to an aspect of the invention, there is provided a kind of division methods of keyword.According to
The division methods of the keyword of the present invention include：Obtain going through for the use state for being used to characterize the keyword of the keyword
History achievement data；The performance trend of the use state of the keyword is analyzed according to the history achievement data；Judge the table
Whether existing trend is propradation；If the performance trend is propradation, the keyword is divided into first kind word
Converge；And if the performance trend is non-increasing state, then the keyword is divided into the second class vocabulary.
Further, judge whether the performance trend is that propradation includes：Obtain history achievement data institute table
The history performance Trend value of the use state of the keyword of sign；Obtain the first performance Trend value and the second table set in advance
Existing Trend value, wherein, the first performance Trend value is more than or equal to the described second performance Trend value；Judge that the history performance becomes
Whether gesture value is more than the described first performance Trend value, or whether is less than the described second performance Trend value；If the history lists
Existing Trend value is more than the described first performance Trend value, then the performance trend is propradation；And if the history shows
Trend value is less than the described second performance Trend value, then the performance trend is non-increasing state.
Further, the history performance for obtaining the use state for the keyword that the history achievement data is characterized becomes
Gesture value includes：The use state for characterizing each predetermined amount of time of the keyword is extracted from the history achievement data
Data；To the number of the data and the use state of adjacent previous predetermined amount of time of the use state of the latter predetermined amount of time
It is poor according to asking, obtain the use state value of each predetermined amount of time；To all scheduled times in the history achievement data
Use state value summation corresponding to section, obtains summing value；And show trend using the summing value as the history
Value.
Further, obtaining performance Trend value set in advance includes：The value from user's setting is received as described the
One performance Trend value and the second performance Trend value；Or annual historical data is obtained, and by the annual history number
According to the average value of use state value as the described first performance Trend value and the second performance Trend value.
Further, the history achievement data for being used to characterize the use state of the keyword is including following any one
Kind or many indexes data：Click volume, show number, spend number and conversion ratio.
To achieve these goals, according to another aspect of the present invention, there is provided a kind of division device of keyword.According to
The division device of the keyword of the present invention includes：Acquiring unit, for obtain the keyword be used for characterize the keyword
Use state history achievement data；Analytic unit, for analyzing making for the keyword according to the history achievement data
With the performance trend of state；Judging unit, for judging whether the performance trend is propradation；Division unit, for
When the performance trend is propradation, the keyword is divided into first kind vocabulary；And in the performance trend on non-
During the state of liter, the keyword is divided into the second class vocabulary.
Further, the judging unit includes：First acquisition module, characterized for obtaining the history achievement data
The keyword use state history performance Trend value；Second acquisition module, for obtaining the first table set in advance
Existing Trend value and the second performance Trend value, wherein, the first performance Trend value is more than or equal to the described second performance Trend value；Sentence
Disconnected module, for judging whether the history performance Trend value is more than the described first performance Trend value, or whether it is less than described
Second performance Trend value；Determining module, for the history performance Trend value be more than described first performance Trend value when, it is determined that
The performance trend is propradation；And when history performance Trend value is less than the described second performance Trend value, it is determined that
The performance trend is non-increasing state.
Further, first acquisition module includes：Extracting sub-module, for being extracted from the history achievement data
For the data for the use state for characterizing each predetermined amount of time of the keyword；Difference submodule, for making a reservation for the latter
The data of the data of the use state of period and the use state of adjacent previous predetermined amount of time ask poor, obtain described every
The use state value of individual predetermined amount of time；Summation submodule, for all predetermined amount of time in the history achievement data
Corresponding use state value summation, obtains summing value；And determination sub-module, for using the summing value as described in
History shows Trend value.
Further, second acquisition module includes：Receiving submodule, for receiving the value conduct from user's setting
The first performance Trend value and the second performance Trend value；Or acquisition submodule, for obtaining the historical data of whole year,
And using the average value of the annual historical data use state value as the described first performance Trend value and second performance
Trend value.
By the present invention, because the performance trend of keyword can embody the use state of keyword, when the table of keyword
When existing trend is ascendant trend, the performance trend of the keyword is preferable, can be divided into heavy duty word, to enter to the heavy duty word emphatically
Row opens up the behaviors such as word, to improve the promotion effect of the keyword.When the performance trend of keyword is declines, the table of the keyword
Existing trend is poor, may be unfavorable for promoting, then the keyword can be adjusted.Performance trend according to keyword is to key
Word is divided, and is solved the problems, such as that the division for solving keyword in the prior art is inaccurate, efficiency is low, has been reached accurate division
The effect of keyword, and improve the efficiency of division keyword.
Brief description of the drawings
The accompanying drawing for forming the part of the application is used for providing a further understanding of the present invention, schematic reality of the invention
Apply example and its illustrate to be used to explain the present invention, do not form inappropriate limitation of the present invention.In the accompanying drawings：
Fig. 1 is the flow chart of the division methods of keyword according to embodiments of the present invention；
Fig. 2 is the schematic diagram of the daily click volume of keyword according to embodiments of the present invention；
Fig. 3 is the tendency chart of keyword according to embodiments of the present invention；
Fig. 4 is the schematic diagram of calculating history performance Trend value according to embodiments of the present invention；And
Fig. 5 is the schematic diagram of the division device of keyword according to embodiments of the present invention.
Embodiment
It should be noted that in the case where not conflicting, the feature in embodiment and embodiment in the application can phase
Mutually combination.Describe the present invention in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
In order that those skilled in the art more fully understand the present invention program, below in conjunction with the embodiment of the present invention
Accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only
The embodiment of a part of the invention, rather than whole embodiments.Based on the embodiment in the present invention, ordinary skill people
The every other embodiment that member is obtained under the premise of creative work is not made, it should all belong to the model that the present invention protects
Enclose.
It should be noted that term " first " in description and claims of this specification and above-mentioned accompanying drawing, "
Two " etc. be for distinguishing similar object, without for describing specific order or precedence.It should be appreciated that so use
Data can exchange in the appropriate case, so as to embodiments of the invention described herein can with except illustrating herein or
Order beyond those of description is implemented.In addition, term " comprising " and " having " and their any deformation, it is intended that cover
Cover it is non-exclusive include, be not necessarily limited to for example, containing the process of series of steps or unit, method, system, product or equipment
Those steps or unit clearly listed, but may include not list clearly or for these processes, method, product
Or the intrinsic other steps of equipment or unit.
The embodiments of the invention provide the division methods of keyword.Fig. 1 is drawing for keyword according to embodiments of the present invention
Divide the flow chart of method.As illustrated, the division methods of the keyword comprise the following steps S102 to step S110：
Step S102, obtain the history achievement data for being used to characterize the use state of keyword of keyword.
Step S104, the performance trend according to the use state of history achievement data analysis of key word.
Step S106, judge whether performance trend is propradation.
Step S108, if performance trend is propradation, keyword is divided into first kind vocabulary.
Step S110, if performance trend is non-increasing state, keyword is divided into the second class vocabulary.
For characterize keyword use state history achievement data can the amount of being click on, show number, spend number and turn
Rate etc..The history achievement data of acquisition can be the data of some index in a period of time, can be with from history achievement data
Whether the performance trend for drawing the history achievement data is propradation, and keyword is divided according to performance trend.
Because the performance trend of keyword can embody the use state of keyword, when the performance trend of keyword is rising
During trend, the performance trend of the keyword is preferable, can be divided into heavy duty word, and the heavy duty word is carried out with emphatically to open up the row such as word
For to improve the promotion effect of the keyword.When the performance trend of keyword is declines, the performance trend of the keyword compared with
It difference, may be unfavorable for promoting, then the keyword can be adjusted.Performance trend according to keyword is drawn to keyword
Point, solve the problems, such as to divide keyword inaccuracy in the prior art, reached the effect of accurate division keyword, and improve
The efficiency of division keyword.
The present embodiment is illustrated below in conjunction with Fig. 2.Fig. 2, which is shown, obtains some keyword from 1 day to May May
The click data of 10 days, wherein, the data shown in Fig. 2 are for the history achievement data for the click volume for characterizing keyword.Fig. 3 is
The tendency chart of history click data shown in Fig. 2, as can be seen from Figure 3 the trend of the history click data is ascendant trend,
The keyword can be then divided into the first class keywords, for example, heavy duty word.
Specifically, judge whether performance trend is that propradation includes：Obtain the keyword that history achievement data is characterized
Use state history performance Trend value；The first performance Trend value set in advance and the second performance Trend value are obtained, wherein,
First performance Trend value is more than or equal to the second performance Trend value；Judge whether history performance Trend value is more than the first performance trend
Value, or whether it is less than the second performance Trend value；If history performance Trend value is more than the first performance Trend value, trend is showed
For propradation；And if history performance Trend value is less than the second performance Trend value, then it is non-increasing state to show trend.
Keyword can be divided into by performance Trend value set in advance by the first class keywords and the second class keywords,
The performance trend that history performance Trend value can embody keyword is propradation or non-increasing state.Wherein, history lists is worked as
When existing Trend value is more than the first performance Trend value, the performance trend for the keyword that the history list item Trend value is embodied is rising shape
State；When history performance trend is less than the set in advance second performance trend, the history shows the keyword that Trend value is embodied
Performance trend be decline state.
Specifically, obtaining the history performance Trend value of the use state for the keyword that history achievement data is characterized includes：
The data of the use state for characterizing each predetermined amount of time of keyword are extracted from history achievement data；The latter is made a reservation for
The data of the data of the use state of period and the use state of previous predetermined amount of time ask poor, obtain each scheduled time
The use state value of section；Use state value corresponding to all predetermined amount of time in history achievement data is summed, asked
And value；And show Trend value using summing value as history.
As shown in Fig. 2 2014/5/1 to 2014/5/10 click volume is followed successively by 2,3,2,2,5,7,7,9,8,10, pass through
Above-mentioned multiple click volumes can calculate history performance Trend value.The difference of the click volume of adjacent two days is calculated successively, such as Fig. 4 institutes
Show, obtain daily use state value and be followed successively by 1, -1,0,3,2,0,2, -1,2.Above-mentioned daily use state value is summed,
Obtained summing value is 8, i.e., history performance Trend value is 8.
If now the first performance Trend value set in advance is 7, the second performance trend word is 6, history performance trend
Value 8 is more than the first performance Trend value 7, it is determined that the keyword is ascendant trend, can be divided into first kind vocabulary, such as emphasis
Word.If now the first table performance Trend value set in advance is 9, the second performance Trend value is 7, at history performance Trend value
Between the first performance Trend value and the second performance Trend value, the keyword is in plateau, then the keyword is not carried out
Division, if the first performance Trend value set in advance is 15, the second performance Trend value is 10, and it is small that the history cashes Trend value 8
Trend value 10 is showed in second, it is determined that the keyword is downward trend, the second class vocabulary can be divided into, such as chicken ribs word.
It should be noted that being illustrated in above-described embodiment in units of daily, the units such as hour, week can also be used
The calculating of history performance Trend value is carried out, the unit that selection calculates history performance Trend value can be selected according to the requirement of precision
Select, the present invention is not limited the unit for calculating history performance Trend value.
Specifically, obtaining performance Trend value set in advance includes：Value of the reception from user's setting, which is used as, to be preset
First performance Trend value and second performance Trend value；Or annual historical data is obtained, and the historical data of whole year is made
The set in advance first performance Trend value and the second performance Trend value are used as by the use of the average value of state value.
First performance Trend value set in advance and the second performance Trend value can be that user sets in advance, can be with
It is to be calculated according to the data of long period.For example, from the annual historical data of some keyword, calculate annual
Historical data use state value average value, and using the average value as the set in advance first performance Trend value and the second table
Existing Trend value.
Illustrated in above-described embodiment so that history achievement data is click volume as an example, history achievement data can also include
Click volume, show the data such as number, when history achievement data is the data of two kinds of different indexs, when the data of two kinds of different indexs
When its performance trend can be met is propradation, the keyword is divided into first kind vocabulary, otherwise, is divided into the second class word
Converge.When open up word or formulate bidding strategy according to the keyword, by judging the keyword for emphasis word or chicken ribs
Word opens up word scheme or bidding strategy to adjust.Such as, word can more be opened up for being divided into the keyword of heavy duty word
Operation, when formulating bidding strategy, can improve the bid for the keyword for being divided into heavy duty word, and be divided into chicken ribs word
Keyword can reduce the bid of keyword.
The embodiment of the present invention additionally provides a kind of division device of keyword.The division side of the keyword of the embodiment of the present invention
Method can be performed by the division device for the keyword that the embodiment of the present invention is provided, and the keyword of the embodiment of the present invention is drawn
Separating device can be used for performing the division methods for the keyword that the embodiment of the present invention is provided.
Fig. 5 is the schematic diagram of the division device of keyword according to embodiments of the present invention.As illustrated, the keyword is drawn
Separating device includes：Acquiring unit 10, analytic unit 30, judging unit 50 and division unit 70.
Acquiring unit 10 is used for the history achievement data for being used to characterize the use state of keyword for obtaining keyword.
Analytic unit 30 is used for the performance trend of the use state according to history achievement data analysis of key word.
Judging unit 50 is used to judge whether performance trend is propradation.
Division unit 70 is used to, when the trend of performance is propradation, keyword is divided into first kind vocabulary；And
When performance trend is non-increasing state, keyword is divided into the second class vocabulary.
For characterize keyword use state history achievement data can the amount of being click on, show number, spend number and turn
Rate etc..The history achievement data of acquisition can be the data of some index in a period of time, can be with from history achievement data
Whether the performance trend for drawing the history achievement data is propradation, and keyword is divided according to performance trend.
Because the performance trend of keyword can embody the use state of keyword, when the performance trend of keyword is rising
During trend, the performance trend of the keyword is preferable, can be divided into heavy duty word, and the heavy duty word is carried out with emphatically to open up the row such as word
For to improve the promotion effect of the keyword.When the performance trend of keyword is declines, the performance trend of the keyword compared with
It difference, may be unfavorable for promoting, then the keyword can be adjusted.Performance trend according to keyword is drawn to keyword
Point, solve the problems, such as that division keyword is inaccurate in the prior art, efficiency is low, reached the effect of accurate division keyword,
And improve the efficiency of division keyword.
The present embodiment is illustrated below in conjunction with Fig. 2.Fig. 2, which is shown, obtains some keyword from 1 day to May May
The click data of 10 days, wherein, the data shown in Fig. 2 are for the history achievement data for the click volume for characterizing keyword.Fig. 3 is
The tendency chart of history click data shown in Fig. 2, as can be seen from Figure 3 the trend of the history click data is ascendant trend,
The keyword can be then divided into the first class keywords, for example, heavy duty word.
Specifically, judging unit includes：First acquisition module, the keyword characterized for obtaining history achievement data
The history performance Trend value of use state；Second acquisition module, obtain the first performance Trend value set in advance and the second performance
Trend value, wherein, the first performance Trend value is more than or equal to the second performance Trend value；Judge module, for judging that history performance becomes
Whether gesture value is more than the first performance Trend value, or whether is less than the second performance Trend value；Determining module, for being showed in history
When Trend value is more than the first performance Trend value, it is determined that performance trend is propradation；And it is less than the in history performance Trend value
During two performance Trend value, it is determined that performance trend is non-increasing state.
Keyword can be divided into by performance Trend value set in advance by the first class keywords and the second class keywords,
The performance trend that history performance Trend value can embody keyword is propradation or non-increasing state.Wherein, history lists is worked as
When existing Trend value is more than the first performance Trend value, the performance trend for the keyword that the history list item Trend value is embodied is rising shape
State；When history performance trend is less than the second performance trend, the performance trend for the keyword that history performance Trend value is embodied
To decline state.
Specifically, the first acquisition module includes：Extracting sub-module, closed for extracting to be used to characterize from history achievement data
The data of the use state of each predetermined amount of time of keyword；Difference submodule, for using shape to the latter predetermined amount of time
The data of the data of state and the use state of previous predetermined amount of time ask poor, obtain the use state of each predetermined amount of time
Value；Summation submodule, for being summed to the use state value corresponding to all predetermined amount of time in history achievement data, obtain
Summing value；And determination sub-module, for showing Trend value using summing value as history.
As shown in Fig. 2 2014/5/1 to 2014/5/1 click volume is followed successively by 2,3,2,2,5,7,7,9,8,10, by upper
History performance Trend value can be calculated by stating multiple click volumes.The difference of the click volume of adjacent two days is calculated successively, as shown in figure 4,
Obtain daily use state value and be followed successively by 1, -1,0,3,2,0,2, -1,2.Above-mentioned daily use state value is summed, obtained
Summing value be 8, i.e., history performance Trend value be 8.
If now the first performance Trend value set in advance is 7, the second performance trend word is 6, history performance trend
Value 8 is more than the first performance Trend value 7, it is determined that the keyword is ascendant trend, can be divided into first kind vocabulary, such as emphasis
Word.If now the first table performance Trend value set in advance is 9, the second performance Trend value is 7, at history performance Trend value
Between the first performance Trend value and the second performance Trend value, then the keyword is not divided, if set in advance
First performance Trend value is 15, and the second performance Trend value is 10, and history realization Trend value 8, which is less than, falls performance Trend value 10, then
It is downward trend to determine the keyword, the second class vocabulary can be divided into, such as chicken ribs word.
It should be noted that being illustrated in above-described embodiment in units of daily, the units such as hour, week can also be used
The calculating of history performance Trend value is carried out, the unit that selection calculates history performance Trend value can be selected according to the requirement of precision
Select, the present invention is not limited the unit for calculating history performance Trend value.
Specifically, the second acquisition module includes：Receiving submodule, it is used as value of the reception from user's setting and sets in advance
Fixed the first performance Trend value and the second performance Trend value；Or acquisition submodule, for obtaining the historical data of whole year, and will
The average value of annual historical data use state value is as the set in advance first performance Trend value and the second performance Trend value.
First performance Trend value set in advance and the second performance Trend value can be that user sets in advance, can be with
It is to be calculated according to the data of long period.For example, from the annual historical data of some keyword, calculate annual
Historical data use state value average value, and using the average value as the set in advance first performance Trend value and the second table
Existing Trend value.
If the integrated unit in above-described embodiment is realized in the form of SFU software functional unit and is used as independent product
Sale or in use, the storage medium that above computer can be read can be stored in.Based on such understanding, skill of the invention
The part or all or part of the technical scheme that art scheme substantially contributes to prior art in other words can be with soft
The form of part product is embodied, and the computer software product is stored in storage medium, including some instructions are causing one
Platform or multiple stage computers equipment (can be personal computer, server or network equipment etc.) perform each embodiment institute of the present invention
State all or part of step of method.
In the above embodiment of the present invention, the description to each embodiment all emphasizes particularly on different fields, and does not have in some embodiment
The part of detailed description, it may refer to the associated description of other embodiment.
The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention, for the skill of this area
For art personnel, the present invention can have various modifications and variations.Within the spirit and principles of the invention, that is made any repaiies
Change, equivalent substitution, improvement etc., should be included in the scope of the protection.
Claims (6)
- A kind of 1. division methods of keyword, it is characterised in that including：Obtain the history achievement data for being used to characterize the use state of the keyword of the keyword；The performance trend of the use state of the keyword is analyzed according to the history achievement data；Judge whether the performance trend is propradation；If the performance trend is propradation, the keyword is divided into first kind vocabulary；AndIf the performance trend is non-increasing state, the keyword is divided into the second class vocabulary, wherein, it is described to be used for Characterizing the history achievement data of the use state of the keyword includes any one or more following achievement data：Click volume, Show number, spend number and conversion ratio；Wherein, judge whether the performance trend is that propradation includes：Obtain the history achievement data characterized it is described The history performance Trend value of the use state of keyword；Obtain the first performance Trend value set in advance and the second performance trend Value, wherein, the first performance Trend value is more than or equal to the described second performance Trend value；Judging the history performance Trend value is It is no to be more than the described first performance Trend value, or whether it is less than the described second performance Trend value；If the history shows trend Value is more than the described first performance Trend value, then the performance trend is propradation；And if the history shows Trend value Less than the described second performance Trend value, then the performance trend is non-increasing state.
- 2. division methods according to claim 1, it is characterised in that obtain the history achievement data characterized it is described The history performance Trend value of the use state of keyword includes：The data of the use state for characterizing each predetermined amount of time of the keyword are extracted from the history achievement data；To the number of the data and the use state of adjacent previous predetermined amount of time of the use state of the latter predetermined amount of time It is poor according to asking, obtain the use state value of each predetermined amount of time；The use state value corresponding to all predetermined amount of time in the history achievement data is summed, summed Value；AndTrend value is showed using the summing value as the history.
- 3. division methods according to claim 1, it is characterised in that obtaining performance Trend value set in advance includes：The value from user's setting is received as the described first performance Trend value and the second performance Trend value；OrAnnual historical data is obtained, and using the average value of the annual historical data use state value as first table Existing Trend value and the second performance Trend value.
- A kind of 4. division device of keyword, it is characterised in that including：Acquiring unit, for obtaining the history achievement data for being used to characterize the use state of the keyword of the keyword；Analytic unit, the performance trend of the use state for analyzing the keyword according to the history achievement data；Judging unit, for judging whether the performance trend is propradation；Division unit, for when the performance trend is propradation, the keyword to be divided into first kind vocabulary；And When the performance trend is non-increasing state, the keyword is divided into the second class vocabulary, wherein, it is described to be used to characterize institute Stating the history achievement data of the use state of keyword includes any one or more following achievement data：Click volume, show number, Spend number and conversion ratio；Wherein, the judging unit includes：First acquisition module, the pass characterized for obtaining the history achievement data The history performance Trend value of the use state of keyword；Second acquisition module, for obtaining the first performance Trend value set in advance Trend value is showed with second, wherein, the first performance Trend value is more than or equal to the described second performance Trend value；Judge module, For judging whether the history performance Trend value is more than the described first performance Trend value, or whether it is less than the described second performance Trend value；Determining module, for when history performance Trend value is more than the described first performance Trend value, determining the performance Trend is propradation；And when history performance Trend value is less than the described second performance Trend value, determine the performance Trend is non-increasing state.
- 5. division device according to claim 4, it is characterised in that first acquisition module includes：Extracting sub-module, for being extracted from the history achievement data for characterizing each predetermined amount of time of the keyword The data of use state；Difference submodule, data and adjacent previous predetermined amount of time for the use state to the latter predetermined amount of time The data of use state ask poor, obtain the use state value of each predetermined amount of time；Summation submodule, for the use state value corresponding to all predetermined amount of time in the history achievement data Summation, obtains summing value；AndDetermination sub-module, for showing Trend value using the summing value as the history.
- 6. division device according to claim 4, it is characterised in that second acquisition module includes：Receiving submodule, become for receiving the value from user's setting as the described first performance Trend value and second performance Gesture value；OrAcquisition submodule, for obtaining the historical data of whole year, and being averaged the annual historical data use state value Value is as the described first performance Trend value and the second performance Trend value.
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| CN107507034A (en) * | 2017-08-28 | 2017-12-22 | 北京三快在线科技有限公司 | Advertisement keyword can be sold and determine method and device, storage medium and electronic equipment |
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| CN103377249A (en) * | 2012-04-27 | 2013-10-30 | 纽海信息技术（上海）有限公司 | Keyword putting method and system |
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