CN104239521B - The method for pushing and device of offline keyword - Google Patents
The method for pushing and device of offline keyword Download PDFInfo
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- CN104239521B CN104239521B CN201410475964.1A CN201410475964A CN104239521B CN 104239521 B CN104239521 B CN 104239521B CN 201410475964 A CN201410475964 A CN 201410475964A CN 104239521 B CN104239521 B CN 104239521B
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- 238000006243 chemical reaction Methods 0.000 description 8
- 239000000284 extract Substances 0.000 description 4
- 230000008569 process Effects 0.000 description 4
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Abstract
The invention discloses a kind of method for pushing and device of offline keyword.Wherein, the method for pushing of offline keyword includes：The data at destination application DLL are obtained, obtain the first data, wherein, destination application DLL is the interface for providing keyword；The data with default flag bit are searched from the first data, obtain the second data, wherein, the data with default flag bit are offline keyword；The data for meeting preset reference index in the second data are extracted, obtain the 3rd data；And determine offline keyword of the 3rd data for push.By the present invention, solve artificial lookup mode in the prior art and be difficult to find the crucial word problem for needing to push again from offline keyword, and then simplified labor workload, the effect for improving offline keyword lookup efficiency.
Description
Technical field
The present invention relates to data processing field, in particular to a kind of method for pushing and device of offline keyword.
Background technology
After the dispensing plan of some keywords, unit are expired or deleted, keyword is just no longer launched.But no longer throw
The keyword put is possible to do well during dispensing.This just needs to analyze the historical data of this kind of word, selects
Optimal keyword is showed, recommends out, is reached the standard grade again for putting person's selection.Way is usually to utilize the side searched by hand at present
Formula is carried out, but is deleted data due to history and belonged to search engine marketing (Search Engine Marketing, abbreviation SEM)
The data that provider has deleted, therefore, it is not easy to find needs from offline keyword again by way of searching by hand
The keyword of secondary push.
For being difficult to find the crucial word problem for needing to push again from offline keyword in correlation technique, at present still
Effective solution is not proposed.
The content of the invention
It is a primary object of the present invention to provide a kind of method for pushing and device of offline keyword, to solve prior art
In be difficult to find the crucial word problem for needing to push again from offline keyword.
A kind of according to an aspect of the invention, there is provided method for pushing of offline keyword.
Included according to the method for pushing of the offline keyword of the present invention：Obtain the number at destination application DLL
According to, the first data are obtained, wherein, the destination application DLL is the interface for providing keyword；From the described first number
The data with default flag bit are searched according to middle, obtain the second data, wherein, the data with the default flag bit are described
Offline keyword；The data for meeting preset reference index in second data are extracted, obtain the 3rd data；And described in determining
3rd data are the offline keyword of push.
Further, the data for meeting preset reference index in second data are extracted, obtaining the 3rd data includes：Press
Second data are ranked up according to the preset reference index, obtain data sequence；And the sequence from the data sequence
Row head end or sequence end obtain one or more data, obtain the 3rd data.
Further, the preset reference index includes the first index and the second index, extracts full in second data
The data of sufficient preset reference index, obtaining the 3rd data includes：The vector (xi, yi) of each second data is obtained, wherein,
The first finger target value that xi is the second data i, the second finger target value that yi is the second data i；Calculate each
The Euclidean distance of the vector of second data and default vectorial (x0, y0), wherein, x0 is the preset value of first index,
Y0 is the preset value of second index；Calculate the similarity of each Euclidean distance；Counted according to the similarity to described second
According to being ranked up, data sequence is obtained；And obtained from the sequence head end of the data sequence or sequence end one or more
Data, obtain the 3rd data.
Further, according to formulaCalculate the similarity of each Euclidean distance, wherein, d for it is described it is European away from
From s is the similarity.
Further, the data of preset reference index are met in second data are extracted, after obtaining the 3rd data,
The method for pushing also includes：The current data at the destination application DLL is obtained, obtains the 4th data；Judge
It whether there is identical data in 3rd data and the 4th data；And judging the 3rd data and described
In the case of the identical data in four data being present, the identical data is deleted from the 3rd data, wherein it is determined that institute
The offline keyword that the 3rd data are stated as push includes：It is determined that the 3rd data after the identical data are deleted to push away
The offline keyword sent.
According to another aspect of the present invention, there is provided a kind of pusher of offline keyword.
Included according to the pusher of the offline keyword of the present invention：First acquisition unit, for obtaining intended application journey
Data at sequence DLL, the first data are obtained, wherein, the destination application DLL connects for offer keyword
Mouthful；Searching unit, for searching the data with default flag bit from first data, the second data are obtained, wherein, tool
The data for having the default flag bit are the offline keyword；Extraction unit, meet in advance for extracting in second data
If the data of reference index, obtain the 3rd data；And determining unit, for determine the 3rd data for push it is described under
Line keyword.
Further, the extraction unit includes：First order module, for according to the preset reference index to described
Second data are ranked up, and obtain data sequence；And first acquisition module, for the sequence head end from the data sequence or
Sequence end obtains one or more data, obtains the 3rd data.
Further, the preset reference index includes the first index and the second index, and the extraction unit includes：Second
Acquisition module, for obtaining the vector (xi, yi) of each second data, wherein, first finger that xi is the second data i
Target value, the second finger target value that yi is the second data i；First computing module, for calculating each described second
The Euclidean distance of the vector of data and default vectorial (x0, y0), wherein, x0 is the preset value of first index, and y0 is described
The preset value of second index；Second computing module, for calculating the similarity of each Euclidean distance；Second order module, is used for
Second data are ranked up according to the similarity, obtain data sequence；And the 3rd acquisition module, for from described
The sequence head end of data sequence or sequence end obtain one or more data, obtain the 3rd data.
Further, second computing module is according to formulaThe similarity of each Euclidean distance is calculated, its
In, d is the Euclidean distance, and s is the similarity.
Further, the pusher also includes：Second acquisition unit, for obtaining the destination application programming
The current data of interface, obtain the 4th data；Judging unit, it is in the 3rd data and the 4th data for judging
It is no identical data to be present；And unit is deleted, it is described for existing in the 3rd data and the 4th data are judged
In the case of identical data, the identical data is deleted from the 3rd data, wherein, the determining unit is deleted for determination
Except the 3rd data after the identical data are the offline keyword of push.
In the present invention, using the data obtained at destination application DLL, the first data are obtained, wherein, institute
Destination application DLL is stated to provide the interface of keyword；Searched from first data with default flag bit
Data, the second data are obtained, wherein, the data with the default flag bit are the offline keyword；Extract described second
Meet the data of preset reference index in data, obtain the 3rd data；And determine the 3rd data for push it is described under
Line keyword.By being obtained to the data at application programming interface, and then filtered out based on reference index and meet bar
The data of part, it is such a to carry out data acquisition and screening using application programming interface as the offline keyword pushed again
The mode of push, during being re-used to valuable data, the manual operation of complexity is eliminated, solves prior art
In artificial lookup mode be difficult to find the crucial word problem for needing to push again from offline keyword, and then simplification
Labor workload, the effect for improving offline keyword lookup efficiency.
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 method for pushing of offline keyword according to embodiments of the present invention；And
Fig. 2 is the schematic diagram of the pusher of offline keyword according to embodiments of the present invention.
Embodiment
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.
In the case where not conflicting, the feature in embodiment and embodiment in the application can be mutually combined.Below will
The present invention will be described in detail with reference to the accompanying drawings and embodiments.
Description below is done to technical term involved in the embodiment of the present invention：
Show number：The advertising display number of keyword setting time scope internal trigger；
Hits：Keyword setting time scope internal trigger advertising display and the user's hits obtained；
Clicking rate：Hits and displaying percentage, formula are expressed as in the range of keyword setting time：Clicking rate=click
Number/displaying number * 100%；
Keyword quality score：Quality degree is the composite target for weighing keyword quality, main to reflect that netizen pushes away to participation
Wide keyword and the degree of recognition of keyword intention.Influence factor includes the clicking rate of keyword, intention is write quality and (closed
The correlation of keyword and intention) and account performance (clicking rates of other keywords in account entry-into-force time, account) etc.；
It is average to click on consumption：Average clicked price of certain keyword in the range of setting time is referred to, formula is expressed as：
It is average to click on consumption=total cost/hits；
Conversion：Advertisement main web site is entered by paid promotion, advertiser wishes the behavior that user completes on its site, such as
Complete a registration, buying a product, these are all conversions；Each conversion can correspond to advertiser's throwing by certain technology
On the keyword put；
Conversion ratio：Conversion ratio can be conversion/hits or conversion/visit capacity by client definition.
Embodiment 1
According to embodiments of the present invention, there is provided it is a kind of can be real by method that the application device embodiment is practiced or carried out
Example is applied, it is necessary to explanation, can be in the meter of such as one group computer executable instructions the flow of accompanying drawing illustrates the step of
Performed in calculation machine system, although also, show logical order in flow charts, in some cases, can be with difference
Shown or described step is performed in order herein.
According to embodiments of the present invention, there is provided a kind of method for pushing of offline keyword, below to institute of the embodiment of the present invention
The method for pushing of the offline keyword provided does specific introduction：
Fig. 1 is the flow chart of the method for pushing of offline keyword according to embodiments of the present invention, as shown in figure 1, this method
Including steps S102 to step S108：
S102：Obtain destination application DLL (Application Programming Interface, abbreviation
API) the data at place, the first data are obtained, wherein, destination application DLL is provides the interface of keyword, in this hair
In bright embodiment, destination application DLL can be the open platform API of SEM provider, and the data got include
Material data with keyword and to keyword click on cost data of consumption etc., to destination application DLL
The acquisition of the data at place, it can be that the data timing at destination application DLL is synchronized to local data base, make to obtain
The local data and service end data taken is synchronous.
S104：The data with default flag bit are searched from the first data, obtain the second data, wherein, have default
The data of flag bit are offline keyword, and the default flag bit can be when user deletes some keyword, to local data
The mark of this keyword stored in storehouse.
S106：The data for meeting preset reference index in the second data are extracted, obtain the 3rd data, wherein, preset reference
Index can be the condition filtered to offline keyword set up or is configured according to the setting instruction of user
Index, preset reference index can be time interval, the addition time of keyword, quality degree, average click on consumption, conversion
Deng.
S108：Determine offline keyword of the 3rd data for push, i.e. it is determined that the data for meeting preset reference index are to push away
The offline keyword sent.
The method for pushing for the offline keyword that the embodiment of the present invention is provided, by the number at application programming interface
According to being obtained, and then the data of the condition of satisfaction are filtered out based on reference index, it is such a as the offline keyword pushed again
The mode of data acquisition and screening push is carried out using application programming interface, process is being re-used to valuable data
In, the manual operation of complexity is eliminated, artificial lookup mode in the prior art is solved and is difficult to find need from offline keyword
The crucial word problem to push again, and then simplified labor workload, the effect for improving offline keyword lookup efficiency
Fruit.
Specifically, in the method for pushing for the offline keyword that the embodiment of the present invention is provided, extract full in the second data
The data of sufficient preset reference index, obtaining the 3rd data can perform in such a way：
First, the second data are ranked up according to preset reference index, obtain data sequence, such as, preset reference refers to
The click consumption of keyword is designated as, then the second data is ranked up according to the click consumption of each keyword, is obtained click and disappear
Take keyword data sequence from big to small or from small to large.
Then, one or more data are obtained from the sequence head end of data sequence or sequence end, obtains the 3rd data, one
As for, be to obtain to click on to consume higher keyword, then, if data sequence is according to clicking on consumption from big to small suitable
Sequence arrangement, then one or more data are obtained from the sequence head end of data sequence, as the 3rd data, if data sequence is
According to consumption from small to large tactic is clicked on, then one or more data are obtained from the sequence end of data sequence, made
For the 3rd data, wherein, how many individual data are specifically obtained, but determined by the reference index value of preset reference index, preset
The reference index value of reference index can be set according to being actually needed.
Further, in embodiments of the present invention, the quantity of preset reference index can be multiple, i.e. with multiple default
Reference index is the screening according to progress keyword, below so that preset reference index includes the first index and the second index as an example,
To illustrate the mode from the data of the second extracting data the 3rd：
The first step, the vector (xi, yi) of each second data is obtained, wherein, xi is the second data i the first index
Value, the second finger target value that yi is the second data i, such as, the first index is consumed to click on, and the second index is quality degree, for
For some keyword, the vector of the keyword is that it clicks on consumption value and quality angle value.
Second step, the Euclidean distance of the vector and default vectorial (x0, y0) of each second data is calculated, wherein, x0 the
The preset value of one index, y0 are the preset value of the second index, between vectorial (xi, yi) and default vectorial (x0, y0) it is European away from
From
3rd step, the similarity of each Euclidean distance is calculated, specifically, can be according to formulaCalculate each Europe
The similarity of formula distance, wherein, d is Euclidean distance, and s is similarity.
4th step, the second data are ranked up according to similarity, obtain data sequence, specifically, can be according to similar
Degree order from big to small is ranked up to the second data, obtains the keyword data sequence of similarity from big to small, or according to
The order of similarity from small to large is ranked up to the second data, obtains the keyword data sequence of similarity from small to large.
5th steps, one or more data are obtained from the sequence head end of data sequence or sequence end, obtain the 3rd data,
In general, similarity more levels off to 1, represent more similar with standard value, the quality of corresponding keyword is also better, then,
In the embodiment of the present invention, the 3rd data got are then the higher keywords of similarity, then, if data sequence be according to
Similarity from big to small tactic, then one or more data are obtained from the sequence head end of data sequence, as the 3rd
Data, if data sequence is according to clicking on consumption from small to large tactic, obtained from the sequence end of data sequence
One or more data are taken, as the 3rd data, wherein, how many individual data are specifically obtained, can be by the phase of preset reference index
Determined like degree reference index value, the similarity reference index value of preset reference index can be set according to being actually needed.
Preferably, the data of preset reference index are met in the second data are extracted, after obtaining the 3rd data, the present invention
The method for pushing of the offline keyword of embodiment also includes：The current data at destination application DLL is obtained, is obtained
4th data, i.e. obtain the keyword pushed during current launch；Judge in the 3rd data and the 4th data with the presence or absence of identical
Data；In the case where identical data be present in judging the 3rd data and the 4th data, identical number is deleted from the 3rd data
According to.Correspondingly, determine that the 3rd data include for the offline keyword of push：It is determined that the 3rd data after identical data are deleted to push away
The offline keyword sent.
By the way that the 3rd data and the keyword during current launch are carried out into duplicate removal comparison, delete in offline keyword with working as
Same keyword during preceding dispensing, realize and do not repeat to push after offline keyword is reached the standard grade.
Further, in embodiments of the present invention,, can be with after push is shown for the offline keyword determined
Selected by user single or multiple, be then packaged the keyword selected by user, pass through what calling search engine provided
API, a key submit keyword to reach the standard grade.
It should be noted that for foregoing each method embodiment, in order to be briefly described, therefore it is all expressed as a series of
Combination of actions, but those skilled in the art should know, the present invention is not limited by described sequence of movement because
According to the present invention, some steps can use other orders or carry out simultaneously.Secondly, those skilled in the art should also know
Know, embodiment described in this description belongs to preferred embodiment, and involved action and module are not necessarily of the invention
It is necessary.
Through the above description of the embodiments, those skilled in the art can be understood that according to above-mentioned implementation
The method of example can add the mode of required general hardware platform to realize by software, naturally it is also possible to by hardware, but a lot
In the case of the former be more preferably embodiment.Based on such understanding, technical scheme is substantially in other words to existing
The part that technology contributes can be embodied in the form of software product, and the computer software product is stored in a storage
In medium (such as ROM/RAM, magnetic disc, CD), including some instructions to cause a station terminal equipment (can be mobile phone, calculate
Machine, server, or network equipment etc.) perform method described in each embodiment of the present invention.
Embodiment 2
According to embodiments of the present invention, a kind of offline pass for being used to implement the method for pushing of above-mentioned offline keyword is additionally provided
The pusher of keyword, the pusher of the offline keyword are mainly used in performing what the above of the embodiment of the present invention was provided
The method for pushing of offline keyword, the pusher of the offline keyword provided below the embodiment of the present invention are specific Jie
Continue：
Fig. 2 is the schematic diagram of the pusher of offline keyword according to embodiments of the present invention, as shown in Fig. 2 this is offline
The pusher of keyword mainly includes first acquisition unit 10, searching unit 20, extraction unit 30 and determining unit 40, its
In：
First acquisition unit 10 is used to obtain destination application DLL (Application Programming
Interface, abbreviation API) place data, obtain the first data, wherein, destination application DLL for provide keyword
Interface, in embodiments of the present invention, destination application DLL can be the open platform API of SEM provider, obtain
To data include the material data with keyword and to keyword click on the cost data etc. of consumption, to intended application
The acquisition of data at Program Interfaces, can be that the data timing at destination application DLL is synchronized to local
Database, make the local data of acquisition and service end data synchronous.
Searching unit 20 is used to search the data with default flag bit from the first data, obtains the second data, wherein,
Data with default flag bit are offline keyword, the default flag bit can be when user deletes some keyword, it is right
The mark of this keyword stored in local data base.
Extraction unit 30 is used to extract the data for meeting preset reference index in the second data, obtains the 3rd data, wherein,
Preset reference index can be the condition filtered to offline keyword set up or be instructed according to the setting of user
The index being configured, preset reference index can be that time interval, the addition time of keyword, quality degree, average click on disappear
Take, change.
Determining unit 40 is used to determine offline keyword of the 3rd data for push, i.e. it is determined that meeting preset reference index
Data for push offline keyword.
The pusher for the offline keyword that the embodiment of the present invention is provided, by the number at application programming interface
According to being obtained, and then the data of the condition of satisfaction are filtered out based on reference index, it is such a as the offline keyword pushed again
The mode of data acquisition and screening push is carried out using application programming interface, process is being re-used to valuable data
In, the manual operation of complexity is eliminated, artificial lookup mode in the prior art is solved and is difficult to find need from offline keyword
The crucial word problem to push again, and then simplified labor workload, the effect for improving offline keyword lookup efficiency
Fruit.
Specifically, in embodiments of the present invention, preset reference index can be one or multiple, for default
Reference index is the situation of one, and the first order module and first that extraction unit 30 mainly includes performing following functions obtains mould
Block：
First order module is used to be ranked up the second data according to preset reference index, obtains data sequence, such as,
Preset reference index is consumed for the click of keyword, then the second data is ranked up according to the click consumption of each keyword,
Obtain clicking on the keyword data sequence of consumption from big to small or from small to large.
First acquisition module is used to obtain one or more data from the sequence head end of data sequence or sequence end, obtains
3rd data, it is however generally that, it is to obtain to click on to consume higher keyword, then, if data sequence is consumed according to click
From big to small tactic, then one or more data are obtained from the sequence head end of data sequence, as the 3rd data, such as
Fruit data sequence be according to clicking on consumption from small to large tactic, then from the sequence end of data sequence obtain one or
Multiple data, as the 3rd data, wherein, how many individual data are specifically obtained, but by the reference index value of preset reference index
To determine, the reference index value of preset reference index can be set according to being actually needed.
Below so that preset reference index includes the first index and the second index as an example, to illustrate the knot of extraction unit 30
Structure building form, mainly the second acquisition module including following functions, the first computing module, second calculate mould to extraction unit 30
Block, the second order module and the 3rd acquisition module：
Second acquisition module is used to obtain the vectors (xi, yi) of each second data, wherein, xi is the of the second data i
One refers to target value, and yi refers to target value for the second of the second data i, such as, the first index is consumed to click on, and the second index is quality
Degree, for some keyword, the vector of the keyword is that it clicks on consumption value and quality angle value.
First computing module is used for the Euclidean distance for the vector and default vectorial (x0, y0) for calculating each second data,
Wherein, x0 is the preset value of the first index, and y0 is the preset value of the second index, wherein, x0 is the pre- of the first index
If value, y0 is the preset value of the second index, and vectorial (xi, yi) is with presetting the Euclidean distance between vectorial (x0, y0)
Second computing module is used for the similarity for calculating each Euclidean distance, specifically, can be according to formulaMeter
The similarity of each Euclidean distance is calculated, wherein, d is Euclidean distance, and s is similarity.
Second order module is used to be ranked up the second data according to similarity, obtains data sequence, specifically, can be with
The second data are ranked up according to the order of similarity from big to small, obtain the keyword data sequence of similarity from big to small
Row, or the second data are ranked up according to the order of similarity from small to large, obtain the keyword number of similarity from small to large
According to sequence.
3rd acquisition module is used to obtain one or more data from the sequence head end of data sequence or sequence end, obtains
3rd data, it is however generally that, similarity more levels off to 1, represents more similar with standard value, and the quality of corresponding keyword is also got over
It is good, then, in embodiments of the present invention, the 3rd data got are then the higher keywords of similarity, then, if data
Sequence is according to similarity from big to small tactic, then obtains one or more numbers from the sequence head end of data sequence
According to as the 3rd data, if data sequence is according to clicking on consumption from small to large tactic, from data sequence
Sequence end obtains one or more data, as the 3rd data, wherein, how many individual data are specifically obtained, can be by default ginseng
The similarity reference index value of index is examined to determine, the similarity reference index value of preset reference index can be according to being actually needed
Setting.
Preferably, the pusher for the offline keyword that the embodiment of the present invention is provided also includes second acquisition unit, sentenced
Disconnected unit and deletion unit, the data of preset reference index are met in extraction unit 30 extracts the second data, obtain the 3rd number
According to afterwards, second acquisition unit is used to obtain the current data at destination application DLL, obtains the 4th data, i.e.
Obtain the keyword pushed during current launch；Judging unit is used to judge in the 3rd data and the 4th data with the presence or absence of identical
Data；Delete unit to be used in the case where identical data be present in judging the 3rd data and the 4th data, from the 3rd data
Middle deletion identical data.Correspondingly, determining unit 40 is used to determine that the 3rd data after deletion identical data are the offline of push
Keyword.
By the way that the 3rd data are carried out into duplicate removal comparison with the keyword pushed during current launch, delete in offline keyword
With the same keyword during current launch, realize and do not repeat to push after offline keyword is reached the standard grade.
Further, in embodiments of the present invention,, can be with after push is shown for the offline keyword determined
Selected by user single or multiple, be then packaged the keyword selected by user, pass through what calling search engine provided
API, a key submit keyword to reach the standard grade.
As can be seen from the above description, the present invention is realized during being re-used to valuable data, is saved
The manual operation of complexity has been gone, reached simplified labor workload, improved the effect of offline keyword lookup efficiency.
Obviously, those skilled in the art should be understood that above-mentioned each module of the invention or each step can be with general
Computing device realize that they can be concentrated on single computing device, or be distributed in multiple computing devices and formed
Network on, alternatively, they can be realized with the program code that computing device can perform, it is thus possible to they are stored
Performed in the storage device by computing device, either they are fabricated to respectively each integrated circuit modules or by they
In multiple modules or step be fabricated to single integrated circuit module to realize.So, the present invention is not restricted to any specific
Hardware and software combines.
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 (10)
- A kind of 1. method for pushing of offline keyword, it is characterised in that including：The data at destination application DLL are obtained, obtain the first data, wherein, the destination application programming connects Mouth is the interface for providing keyword；The data with default flag bit are searched from first data, obtain the second data, wherein, there is the pre- bidding The data of will position are the offline keyword, and the default flag bit is when deleting some keyword, in local data base The mark of this keyword stored；The data for meeting preset reference index in second data are extracted, obtain the 3rd data；And determine the 3rd number According to the offline keyword for push.
- 2. method for pushing according to claim 1, it is characterised in that meet that preset reference refers in extraction second data Target data, obtaining the 3rd data includes：Second data are ranked up according to the preset reference index, obtain data sequence；AndOne or more data are obtained from the sequence head end of the data sequence or sequence end, obtain the 3rd data.
- 3. method for pushing according to claim 1, it is characterised in that the preset reference index includes the first index and the Two indexs, the data for meeting preset reference index in second data are extracted, obtaining the 3rd data includes：The vector (xi, yi) of each second data is obtained, wherein, the first finger target value that xi is the second data i, yi Described second for the second data i refers to target value；The vectorial Euclidean distance with default vectorial (x0, y0) of each second data is calculated, wherein, x0 is the described first finger Target preset value, y0 are the preset value of second index；Calculate the similarity of each Euclidean distance；Second data are ranked up according to the similarity, obtain data sequence；AndOne or more data are obtained from the sequence head end of the data sequence or sequence end, obtain the 3rd data.
- 4. method for pushing according to claim 3, it is characterised in that according to formulaCalculate each Euclidean distance Similarity, wherein, d is the Euclidean distance, and s is the similarity.
- 5. method for pushing according to claim 1, it is characterised in that meet preset reference in second data are extracted The data of index, after obtaining the 3rd data, the method for pushing also includes：The current data at the destination application DLL is obtained, obtains the 4th data；Judge to whether there is identical data in the 3rd data and the 4th data；AndIn the case where the identical data be present in judging the 3rd data and the 4th data, from the described 3rd number The identical data is deleted according to middle,Wherein it is determined that the 3rd data include for the offline keyword of push：It is determined that after deleting the identical data 3rd data are the offline keyword of push.
- A kind of 6. pusher of offline keyword, it is characterised in that including：First acquisition unit, for obtaining the data at destination application DLL, the first data are obtained, wherein, it is described Destination application DLL is the interface for providing keyword；Searching unit, for searching the data with default flag bit from first data, the second data are obtained, wherein, Data with the default flag bit are the offline keyword, the default flag bit be when deleting some keyword, To the mark of this keyword stored in local data base；Extraction unit, meet the data of preset reference index in second data for extracting, obtain the 3rd data；AndDetermining unit, for determining the offline keyword of the 3rd data for push.
- 7. pusher according to claim 6, it is characterised in that the extraction unit includes：First order module, for being ranked up according to the preset reference index to second data, obtain data sequence； AndFirst acquisition module, one or more data are obtained for the sequence head end from the data sequence or sequence end, are obtained To the 3rd data.
- 8. pusher according to claim 6, it is characterised in that the preset reference index includes the first index and the Two indexs, the extraction unit include：Second acquisition module, for obtaining the vector (xi, yi) of each second data, wherein, xi for the second data i institute State the first finger target value, the second finger target value that yi is the second data i；First computing module, the Euclidean distance of vector and default vectorial (x0, y0) for calculating each second data, its In, x0 is the preset value of first index, and y0 is the preset value of second index；Second computing module, for calculating the similarity of each Euclidean distance；Second order module, for being ranked up according to the similarity to second data, obtain data sequence；And3rd acquisition module, obtained for the sequence head end from the data sequence or sequence end one or moreData, obtain the 3rd data.
- 9. pusher according to claim 8, it is characterised in that second computing module is according to formulaMeter The similarity of each Euclidean distance is calculated, wherein, d is the Euclidean distance, and s is the similarity.
- 10. pusher according to claim 6, it is characterised in that the pusher also includes：Second acquisition unit, for obtaining the current data at the destination application DLL, obtain the 4th data；Judging unit, for judging to whether there is identical data in the 3rd data and the 4th data；AndUnit is deleted, for the identical data be present in the 3rd data and the 4th data are judged Under, the identical data is deleted from the 3rd data, wherein, the determining unit is used to determine to delete the identical data The 3rd data afterwards are the offline keyword of push.
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| CN101620625A (en) * | 2009-07-30 | 2010-01-06 | 腾讯科技（深圳）有限公司 | Method, device and search engine for sequencing searching keywords |
| CN101957857A (en) * | 2010-09-30 | 2011-01-26 | 华为终端有限公司 | Automatic information push method and server |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101620625A (en) * | 2009-07-30 | 2010-01-06 | 腾讯科技（深圳）有限公司 | Method, device and search engine for sequencing searching keywords |
| CN101957857A (en) * | 2010-09-30 | 2011-01-26 | 华为终端有限公司 | Automatic information push method and server |
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Denomination of invention: Off-line keyword pushing method and device Effective date of registration: 20190531 Granted publication date: 20171114 Pledgee: Shenzhen Black Horse World Investment Consulting Co.,Ltd. Pledgor: BEIJING GRIDSUM TECHNOLOGY Co.,Ltd. Registration number: 2019990000503 |
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