CN105574162B - The method of the automatic hyperlink of keyword - Google Patents
The method of the automatic hyperlink of keyword Download PDFInfo
- Publication number
- CN105574162B CN105574162B CN201510946128.1A CN201510946128A CN105574162B CN 105574162 B CN105574162 B CN 105574162B CN 201510946128 A CN201510946128 A CN 201510946128A CN 105574162 B CN105574162 B CN 105574162B
- Authority
- CN
- China
- Prior art keywords
- keyword
- data
- hyperlink
- label
- information
- 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.)
- Active
Links
Classifications
-
- 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
- G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
- G06F16/9558—Details of hyperlinks; Management of linked annotations
Abstract
A kind of method of the automatic hyperlink of keyword, when user opens application program, whether program needs to download keyword hyperlink data from specified server according to current configuration determination, if necessary to download, then downloads automatically from specified server and is saved in local；For user when opening document by application program, application program automatically analyzes keyword when parsing document, and the search matching keyword in keyword hyperlink database, obtains corresponding hyperlink data；If being not matched to keyword in database, then access specified server, the hyperlink data of nominal key is obtained with this, and it updates to local, if keyword can be matched in database, according to the hyperlink data that matching keyword obtains, when showing document content, hyperlink is shown in keyword region.Thus avoiding hyperlink can not also be the problem of remotely greatly having limited to its function and effect by way of keyword realization automatically forms hyperlink.
Description
Technical field
The present invention relates to a kind of hyperlink technical field, the method for especially a kind of automatic hyperlink of keyword.
Background technique
Hyperlink belongs to a part of a webpage in itself, it be it is a kind of allow we with other webpages or website
Between the element that is attached.After each web page interlinkage together, a website could be really constituted.So-called hyperlink refers to
The connection relationship of a target is directed toward from a webpage, this target can be another webpage, be also possible in same web page
Different location, can also be a picture, an e-mail address, a file, even an application program.And
It is used to the object of hyperlink in one webpage, can be one section of text either picture.When viewer click it is linked
Text or picture after, hyperlink target is displayed on browser, and is opened or run according to the type of target.
And this hyperlink at present can not also remotely by keyword realize automatically form hyperlink by way of, by
This has greatly limited to its function and effect.
Summary of the invention
The purpose of the present invention is to provide a kind of methods of the automatic hyperlink of keyword, when user opens application program,
Whether program needs to download keyword hyperlink data from specified server according to current configuration determination, if necessary to download,
It is then downloaded automatically from specified server and is saved in local；User is when opening document by application program, application program solution
Keyword is automatically analyzed when analysing document, and the search matching keyword in keyword hyperlink database, obtains corresponding hyperlink number
According to；If being not matched to keyword in database, specified server is accessed, the super of nominal key is obtained with this
Link data, and update and arrive locally, if keyword can be matched in database, according to the super chain of matching keyword acquisition
Data are connect, when showing document content, show hyperlink in keyword region.Avoiding hyperlink can not also remotely lead to
Cross the problem of keyword realizes the form for automatically forming hyperlink and thus greatly limited to its function and effect.
In order to achieve the above object, the technical scheme is that a kind of method of the automatic hyperlink of keyword, user
When opening application program, whether program needs to download keyword hyperlink number from specified server according to current configuration determination
According to downloading, then download automatically from specified server and be saved in local if necessary；User is opening text by application program
When shelves, application program automatically analyzes keyword when parsing document, and the search matching keyword in keyword hyperlink database, obtains
Take corresponding hyperlink data；If being not matched to keyword in database, specified server is accessed, is referred to this to obtain
Determine the hyperlink data of keyword, and updates and arrive locally, it is crucial according to matching if keyword can be matched in database
The hyperlink data that word obtains shows hyperlink in keyword region when showing document content.
After adopting the above method, the present invention from specified server downloading keyword hyperlink data and can save automatically
To local, thus according to the hyperlink data analyzed and obtained, when showing document content, super chain is shown in keyword region
It connects.
Detailed description of the invention
Fig. 1 is flow chart of the invention.
Fig. 2 is the flow chart of random content extraction algorithm of the invention.
Fig. 3 is the flow chart of layered contents extraction algorithm of the invention.
Fig. 4 is the flow chart of keyword extraction of the invention.
Fig. 5 is the flow chart that keyword of the invention is collected automatically.
Specific embodiment
The present invention is described in further detail for the embodiment provided below in conjunction with attached drawing.
Referring to shown in Fig. 1-Fig. 5, the method for the automatic hyperlink of keyword, when user opens application program, program according to
Whether current configuration determination needs to download keyword hyperlink data from specified server, if necessary to download, then automatically from
Specified server is downloaded and is saved in local；User is when opening document by application program, when application program parses document
Keyword is automatically analyzed, and the search matching keyword in keyword hyperlink database, obtains corresponding hyperlink data；If
Database is not matched to keyword, then accesses specified server, and the hyperlink data of nominal key is obtained with this,
And update to local, if keyword can be matched in database, according to the hyperlink data that matching keyword obtains,
When showing document content, hyperlink is shown in keyword region.
Wherein, the mode of application program parsing document are as follows:
Single document Sample Data Collection is first carried out, that is, is analyzed according to the document that user opens, general text
The key message of data can all be stored in following place: filename, Document Title, bookmark, document first segment content, document
Final stage content.In consideration of it, the present invention also will be mainly from these part sample drawn data.Sample data is first stored in this
Ground is completed the extraction of keyword, classification, weight adjustment to which these data are uploaded to server again after user's networking and is surpassed
The preparation of chain data；It is uncertain due to uploading ground opportunity, need that recording documents the last time opens when recording sample data when
Between and upload front opening number, this two information be after calculate keyword weight when need；The sample number
According to storage format be followed successively by as shown in table 1 data package size, last opening time, open number, document language, file name
Length, file name data, Document Title length, Document Title data, first section content-length, first section content-data, in latter end
Hold length, latter end content-data, bookmark entry quantity, the first bookmark entry length, the first bookmark entry content, the second bookmark item
Mesh length, second the n-th bookmark entry of bookmark entry content ... length, the n-th bookmark entry content, random content quantity, first with
Machine content-length, the first random content data, the second random content length, second the n-th random content of random content data ... are long
The data segment of degree, the n-th random content data；Wherein n is positive integer；
Table 1
The meaning description of above structure content is as shown in table 2:
Table 2
And when carrying out random content extraction, it can be using randomly selecting algorithm or layered extraction method is extracted；
For smaller document or without the document of bookmark information and distributed intelligence, calculation is randomly selected using this
Method, the content randomly selected algorithm and random write is wanted to be rounded a document, the algorithm detailed process are as follows, it is first determined need
The quantity of the sample of extraction generates the list of random numbers of one group of sample size and does not repeat according to the size of document content, then according to
According to each numerical value in the ordered series of numbers table group as document bias internal, it is successively read the content of text of regular length and preservation；
For bigger document, using this layered extraction method algorithm.The algorithm can be according to the strategy of sample drawn
It extracts comprehensively or emphasis extracts to define the weight coefficient H of first layer sample.
The layered extraction algorithm detailed process is as follows, it is first determined the quantity N for the sample for needing to extract, first layer need
The sample size to be extracted is the N/H of total quantity.If the document has bookmark information, using bookmark information as first layer sample
Pond, if without bookmark information, using paging information as first layer sample pool.It is constructed with each bookmark ID or each paging ID number
List, then the first layer sample list needed using the quantity of bookmark or number of pages as radix construction.Next according to extraction
First layer sample list respectively individually extracts H sample.Such as: if it is using bookmark information as sample pool, according to having given birth to
At first layer sample list, each list item is a bookmark ID, individually extract two layers of sample when, according to bookmark ID
Come the position of locating documents, then opens preservation with H samples of text data of algorithm extraction are randomly selected；
Carry out the mode of sample data upload and keyword message extraction are as follows: sample data can be opened different according to user
Document is updated, and is stored in local device；When user equipment networking, it is locally stored according to strategy setting upload
In sample data to server, to carry out keyword extraction and follow-up work；
User's usage scenario is varied, can totally be divided into: do not network, mobile network, fixed mesh (LAN,
WIFI), networked environment is used according to different, different sample datas is taken to upload strategy, specific as follows:
(1) environment that do not network: without upload operation.
(1) mobile network environment: without upload operation.
(2) fixed network environment: idle uploads, limiting uploading speed.
(4) user oneself definition strategy, such as: allow to upload when mobile network, allow in the time in fixed network time limit
Pass etc..
When carrying out client id calculating and verification, often using the calculating of several client ids discussed below
And method of calibration, but client id not only limits lower these types of method, while being also possible to several algorithm combinations and using:
1, the method for hardware combinations ID
The sample information of collection needs to indicate user belonging to the sample information, and software download user when upload
It is also required to indicate User ID when keyword message and hyperlink data, i.e. data are and user-association.This User ID needs energy
Uniquely indicate user.
Calculation method: obtaining the id information of environment division hardware in a fixed order, and the ID that can not be obtained is filled with FF,
And a string of characters are sequentially combined into according to this.
Method of calibration: which hardware each section information due to forming ID, each equipment have different, and do not guarantee
The hard disk of each equipment will not be replaced.The method so verified cannot be verified with simple exact matching, specifically when verification, often
A hardware information analyze come individually verify, when all hardware informations be more than 50% match when, with regard to verify pass through.It is right simultaneously
It may include more than one in the equipment having in some hardware, at this moment verify single hardware information, as long as having in same item of hardware
One matching indicates Hardware match success.
2, the method for client unique information
According to the information of unique identification user (such as: E-mail address, phone number etc.) come as client id.Verification
When, to exactly match just calculation successful match.
It is to be extracted with keyword extraction algorithms, that is, user's sample data is uploaded when carrying out keyword extraction
To after server, server end just carries out keyword extraction according to these data.Algorithm is generally described as follows:
1. pair text carries out word segmentation processing.
2. the text of pair different position is weighted processing, as previously described, file is contained in the sample of upload
The weight of the information such as name, Document Title, bookmark, these information should be different, so to add different weights to these information.
Such as: to filename weighted 5, Document Title weighted 3.
3. reservation noun, verb and adjective, and the frequency that each word occurs is calculated, obtain<frequency, the weight>of each word
List.
4. calculating the Words similarity of the word in the top in above-mentioned list, similar word is merged.
5. finally obtaining Keyword List.
Each keyword belongs at least one scope, for example bicycle is included in multiple scopes such as " traffic ", " movement "
Within.Extraction to keyword and then it is further concluded that affiliated scope former list of file names.
When carrying out key data accumulation, weight adjustment, keyword and scope are the label data that can be used as user, this
A little label datas also have different weights, according to this come adjust hyperlink data push priority.
The time with keyword hit of label data weight, the parameters such as hit-count are related.Principle is to order in the recent period
In keyword its label weight it is bigger；Hit-count more multiple weighing value is bigger.
During analyzing sample data extraction keyword, it is possible to which there is no corresponding keys in keyword database
Word information so also can not just match the keyword and its label information.It is automatic that this keyword is specially designed in response to this
Collection method, the big principle that works are as follows:
1. being extracted according to the keyword extraction algorithm to sample data.
2. for being not matched to label and the higher keyword of weight ratio, it is added to that this client id is associated not to return
In class key table, while being also added to global do not sort out in key data table.
Periodically or manually boot that processing is above-mentioned not to sort out key data table process 3. automatic, according to the frequency of occurrences from height
The keyword in table is successively handled to low sequence:
A) search whether the keyword has synonym or near synonym categorized, then using its label if having, and from
Do not sort out key table and delete the keyword, completes the treatment process of the keyword.Otherwise continue following step.
B) label information of the keyword is obtained from appointed website or server, if obtained successfully, uses the letter
Breath, and never sort out in key table and delete the keyword, complete the treatment process of the keyword.Otherwise, continue following step
Suddenly.
C) the manual trasaction key label data of administrator is prompted.Complete the keyword treatment process.
4. not sorting out keyword message for what is had been processed by, corresponding client tag information and these clients are updated
Do not sort out key table in end.
When executing keyword and hyperlink data-pushing, needs are judged whether according to the state of networking when software is opened
From service trasaction key hyperlink data, specific rules are consistent with the rule of sample data is uploaded；Hyperlink number is downloaded from server
According to when need to provide software client id information, server can be according to finding keyword hyperlink data with ID and return to related data
Information as size, for software download；
The data format of downloading is as shown in table 3, particularly, be followed successively by size, number of labels, weight, keyword quantity,
Keyword List, hyperlink data, label data data segment:
Table 3
The data of downloading are stored in local device, and when user opens document, software analyzes document content, are matched above-mentioned
Keyword List in each label of data, the relatively high label of priority match weight, then keyword in associated document after matching
With hyperlink data, hyperlink content is shown according to strategy when showing document.
And keyword hyperlink data update method is commonly two kinds of update methods, but is not limited only to both sides
Method, while can also be applied in combination with several method, two kinds of update methods are as follows:
1. manual update method
Administrator updates server database information, input<label, keyword, hyperlink data>combination letter manually
Breath；The corresponding relationship of keyword and label is the relationship of multi-to-multi；When pushing hyperlink data to client, above-mentioned mark is searched
Information is signed,<label, keyword, hyperlink data>information issue client matched；
2. automatic obtaining method
Administrator setting given server is used to automatic lookup label, keyword message, gives in push hyperlink data
Client, according to requesting its hyperlink data on client tag, keyword message to server automatically；These specified clothes
Data on business device are generally provided by third party or big data automatically generates.
In addition keyword hyperlink data push strategy, specific as follows:
The hyperlink data of same label and keyword association can have many items, need in this case certain
Strategy so as to allow server know how choose data pushed.
Some strategies are only enumerated below, but not only limit these types strategy.It can be several strategy combinations simultaneously to use.
1. priority is arranged according to label.Default setting is that automatic obtain links data, and administrator also adds manually for label
Add hyperlink data, the different link data of same label are set as different priority, and push link data are to client
Priority ratio higher data are preferentially pushed when end；
2. priority is arranged according to keyword, default setting is that automatic obtain links data, and administrator is manually also key
Word adds hyperlink data, and the different link data of same keyword are set as different priority, push link data
Priority ratio higher data are preferentially pushed when to client, when keyword priority is identical, then compare the priority of its label,
The preferential push higher data of priority ratio；
3. according to<label, keyword>combination settings priority.Default setting is that automatic obtain links data, and administrator is also
It is manually combination addition hyperlink data, the different link data of same combination are set as different priority, push chain
Priority ratio higher data are preferentially pushed when connecing data to client, if combined priority is identical, then comparison keyword
Priority, if the priority of keyword is still identical, then compares the priority of its label, preferential push priority ratio is higher
Data.
Whether program needs according to current configuration determination from specified server when the user opens application program
The judgment mechanism for downloading keyword hyperlink data includes at least the following:
1) it when locally there is no hyperlink data, needs to download hyperlink data from server.
2) whether the Keyword Tag that connection server detects the client updates, and needs to download if being updated super
Grade link data.
3, connection server detects whether the associated hyperlink data of the corresponding Keyword Tag of the client has updated,
It needs to download hyperlink data if being updated.
What has been described above is only a preferred embodiment of the present invention, it is noted that for those of ordinary skill in the art
For, without departing from the concept of the premise of the invention, various modifications and improvements can be made, these belong to the present invention
Protection scope.
Claims (7)
1. a kind of method of the automatic hyperlink of keyword, it is characterised in that: when user opens application program, program is according to current
Configuration determination whether need to download keyword hyperlink data from specified server, if necessary to download, then automatically from specified
Server download and be saved in local；When opening document by application program, application program parses automatic when document user
Analysis keyword, and the search matching keyword in keyword hyperlink database, obtain corresponding hyperlink data；If in data
Library is not matched to keyword, then accesses specified server, the hyperlink data of nominal key is obtained with this, and more
It is new to arrive locally, if keyword can be matched in database, according to the hyperlink data that matching keyword obtains, showing
When document content, hyperlink is shown in keyword region；
Wherein, in the mode of the application program parsing document are as follows: first carry out single document Sample Data Collection, that is, root
It is analyzed according to the document that user opens, sample data is first stored in local, to which these data are uploaded again after user's networking
The preparation of extraction, classification, the weight adjustment and hyperlink data of keyword is completed to server；It needs to remember when recording sample data
The number of the front opening of time and upload that document the last time opens is recorded, this two information calculate keyword weight after being
When need；The storage format of the sample data be followed successively by storing data packet size, last opening time, open number,
Document language, file name length, file name data, Document Title length, Document Title data, first section content-length, head
Section content-data, latter end content-length, latter end content-data, bookmark entry quantity, the first bookmark entry length, the first bookmark item
Mesh content, the second bookmark entry length, second the n-th bookmark entry of bookmark entry content ... length, the n-th bookmark entry content, with
Machine content quantity, the first random content length, the first random content data, the second random content length, the second random content number
According to ... the data segment of the n-th random content length, the n-th random content data；Wherein n is positive integer；It is taken out to random content
It, can be using randomly selecting algorithm or layered extraction method is extracted when taking；The algorithm of randomly selecting wants random write to be rounded
The content of a document, the algorithm detailed process are as follows, it is first determined the quantity for the sample for needing to extract, according to the big of document content
It is small, it generates the list of random numbers of one group of sample size and does not repeat, further in accordance with each numerical value in the ordered series of numbers table group as inclined in document
It moves, is successively read the content of text of regular length and preservation；The layered extraction algorithm detailed process is as follows, it is first determined needs
The quantity N for the sample to be extracted, the sample size that first layer needs to extract are the N/H of total quantity；If the document has bookmark letter
Breath, then using bookmark information as first layer sample pool, if without bookmark information, using paging information as first layer sample
Pond；List is constructed with each bookmark ID or each paging ID number, then needed as radix construction using the quantity of bookmark or number of pages
First layer sample list；Next according to the first layer sample list of extraction, H sample is respectively individually extracted；If it is with book
Information is signed as sample pool, according to generated first layer sample list, each list item is a bookmark ID, is individually being taken out
When taking two layers of sample, according to bookmark ID come the position of locating documents, then with randomly select algorithm extract H samples of text number
It is saved according to opening；And carry out the mode of sample data upload and keyword message extraction are as follows: sample data can be opened not according to user
Same document is updated, and is stored in local device；When user equipment networking, local deposit is uploaded according to strategy setting
In the sample data to server of storage, to carry out keyword extraction and follow-up work；Carrying out client id calculating and verification
When, it also can be the combination of several method that method, which includes the method for hardware combinations ID or the method for client unique information,；Into
Row keyword extraction is extracted with keyword extraction algorithms, that is, after user's sample data is uploaded onto the server,
Server end just carries out keyword extraction according to these data；Extraction and then it is further concluded that affiliated model to keyword
Former list of file names on farmland；When carrying out key data accumulation, weight adjustment, keyword and scope are the label that can be used as user
Data, these label datas also have different weights, according to this come adjust hyperlink data push priority, label data weight
The time with keyword hit, parameter as hit-count is related, and principle is keyword its label hit in the recent period
Weight is bigger, and hit-count more multiple weighing value is bigger；Executing keyword and when hyperlink data-pushing, when software is opened according to
The state of networking judges whether to need from service trasaction key hyperlink data, specific rules and the rule one for uploading sample data
It causes；Need to provide software client id information when downloading hyperlink data from server, server can find keyword according to ID
Hyperlink data simultaneously return to information as related data size, for software download；The data format of downloading particularly, is followed successively by
Size, number of labels, weight, keyword quantity, Keyword List, hyperlink data, label data data segment；The data of downloading
It is stored in local device, when user opens document, software analyzes document content, matches crucial in each label of above-mentioned data
Word list, the relatively high label of priority match weight, then keyword and hyperlink data in associated document after matching are showing text
Hyperlink content is shown according to strategy when shelves.
2. the method for the automatic hyperlink of keyword according to claim 1, it is characterised in that: the plan that sample data uploads
Slightly:
(1) environment that do not network: without upload operation；
(2) mobile network environment: without upload operation；
(3) fixed network environment: idle uploads, limiting uploading speed；
(4) user oneself definition strategy, comprising: allow to upload when mobile network, allow to upload in the time in fixed network time limit.
3. the method for the automatic hyperlink of keyword according to claim 2, it is characterised in that: and keyword hyperlink
Data-updating method includes two kinds of update methods as follows:
(1) manual update method: i.e. administrator updates server database information, input < label, keyword, super chain manually
Connect data > combined information；The corresponding relationship of keyword and label is the relationship of multi-to-multi；Hyperlink data is pushed to client
When, above-mentioned label information is searched,<label, keyword, hyperlink data>information issue client matched；
(2) update method obtained automatically: i.e. administrator setting given server is used to automatic lookup label, keyword message,
In push hyperlink data to client, request its super automatically according on client tag, keyword message to server
Link data；Data on these specified servers are generally provided by third party or big data automatically generates；
In addition keyword hyperlink data push strategy, three kinds of push strategy specific as follows:
(1) priority is arranged according to label, default setting is that automatic obtain links data, and administrator is also super for label addition manually
Grade link data, the different link data of same label are set as different priority, when push link data are to client
The preferential push higher data of priority ratio；
(2) priority is arranged according to keyword, default setting is that automatic obtain links data, and administrator also adds manually for keyword
Add hyperlink data, the different link data of same keyword are set as different priority, and push link data are to visitor
Priority ratio higher data are preferentially pushed when the end of family, when keyword priority is identical, then compare the priority of its label, preferentially
Push the higher data of priority ratio；
(3) according to<label, keyword>combination settings priority, default setting is that automatic obtain links data, and administrator strikes back
It moves and adds hyperlink data for combination, the different link data of same combination are set as different priority, push link
Priority ratio higher data are preferentially pushed when data are to client, if combined priority is identical, then comparison keyword is excellent
First grade, it is preferential to push the higher number of priority ratio if the priority of keyword is still identical, then compares the priority of its label
According to.
4. the method for the automatic hyperlink of keyword according to claim 3, it is characterised in that: wherein keyword extraction is calculated
Method is that algorithm description is as follows:
(1) word segmentation processing is carried out to text；
(2) processing is weighted to the text of different positions, filename, Document Title, bookmark is contained in the sample of upload
Such information adds different weights to these information；
(3) only retain noun, verb and adjective, and calculate the frequency that each word occurs, obtain<frequency, weight>column of each word
Table；
(4) Words similarity for calculating the word in the top in above-mentioned list, merges similar word；
(5) Keyword List is finally obtained.
5. the method for the automatic hyperlink of keyword according to claim 1, it is characterised in that: the hardware combinations ID
Calculation method are as follows: in a fixed order obtain environment division hardware id information, the ID that can not be obtained is filled with FF, and is pressed
A string of characters are sequentially combined into according to this；The method of calibration of the hardware combinations ID are as follows: when specific verification, each hardware information
Analyze come individually verify, when all hardware informations be more than 50% match when, with regard to verify pass through；Simultaneously for some hardware
It may include more than one in the equipment having, at this moment verify single hardware information, as long as having a matching in same item of hardware, i.e.,
Indicate Hardware match success；
The method of the client unique information are as follows: according to the information of unique identification user come as client id；When verification,
Successful match is just calculated in exact matching；The information of the unique identification user can be E-mail address or phone number.
6. the method for the automatic hyperlink of keyword according to claim 1, it is characterised in that: received automatically for keyword
Collection, the concrete mode collected are as follows:
(1) sample data is extracted according to the keyword extraction algorithm；
(2) for being not matched to label and the higher keyword of weight ratio, it is added to that this client id is associated not to be sorted out
In key table, while being also added to global do not sort out in key data table；
(3) automatic periodically or to manually boot that processing is above-mentioned not to sort out key data table process, according to the frequency of occurrences from height to
Low sequence successively handles the keyword in table:
A) it searches whether the keyword has synonym or near synonym categorized, if so, then using its label, and never sorts out
Key table deletes the keyword, completes the treatment process of the keyword, otherwise continues following step；
B) label information of the keyword is obtained from appointed website or server, if obtained successfully, uses the information, and
Never sort out in key table and delete the keyword, complete the treatment process of the keyword, otherwise, continue following step；
C) the manual trasaction key label data of administrator is prompted, the keyword treatment process is completed；
(4) do not sort out keyword message for what is had been processed by, update corresponding client tag information and these clients
Do not sort out key table.
7. the method for the automatic hyperlink of keyword according to claim 1, it is characterised in that: the user opens and answers
Whether need to download the judgement of keyword hyperlink data from specified server according to current configuration determination with program when program
Mechanism includes at least the following:
1) it when locally there is no hyperlink data, needs to download hyperlink data from server；
2) whether the Keyword Tag that connection server detects the client updates, and needs to download super chain if being updated
Connect data；
3) connection server detects whether the associated hyperlink data of the corresponding Keyword Tag of the client has updated, if
It has been updated and has then needed to download hyperlink data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510946128.1A CN105574162B (en) | 2015-12-16 | 2015-12-16 | The method of the automatic hyperlink of keyword |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510946128.1A CN105574162B (en) | 2015-12-16 | 2015-12-16 | The method of the automatic hyperlink of keyword |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105574162A CN105574162A (en) | 2016-05-11 |
| CN105574162B true CN105574162B (en) | 2019-05-03 |
Family
ID=55884293
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510946128.1A Active CN105574162B (en) | 2015-12-16 | 2015-12-16 | The method of the automatic hyperlink of keyword |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105574162B (en) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10541882B2 (en) * | 2016-09-19 | 2020-01-21 | Microsoft Technology Licensing, Llc | Telemetry driven configuration in computing systems |
| CN110020309A (en) * | 2017-12-04 | 2019-07-16 | 北京搜狗科技发展有限公司 | A kind of page processing method and device |
| CN110096695B (en) * | 2018-01-30 | 2023-01-03 | 腾讯科技（深圳）有限公司 | Hyperlink marking method and device and text classification method and device |
| CN109446443B (en) * | 2018-10-18 | 2021-11-09 | 武汉斗鱼网络科技有限公司 | Label updating method, device, equipment and storage medium |
| CN111611411A (en) * | 2020-05-14 | 2020-09-01 | 安徽新华传媒股份有限公司 | Local calling method for interaction with PPT courseware |
| KR20240044542A (en) * | 2021-08-27 | 2024-04-04 | 락 큐브 홀딩스 엘엘씨 | System and method for structure-based automatic hyperlinking |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1932811A (en) * | 2005-09-13 | 2007-03-21 | 中时网路科技股份有限公司 | System for establising associated keyword interlinking in words of content network site |
| CN101004737A (en) * | 2007-01-24 | 2007-07-25 | 贵阳易特软件有限公司 | Individualized document processing system based on keywords |
| CN102567435A (en) * | 2010-12-31 | 2012-07-11 | 宏碁股份有限公司 | Integration method of multimedia information source and hyperlink device and electronic device thereof |
| WO2015158249A1 (en) * | 2014-04-16 | 2015-10-22 | 华为技术有限公司 | Information processing method, apparatus, and system based on instant messaging |
-
2015
- 2015-12-16 CN CN201510946128.1A patent/CN105574162B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1932811A (en) * | 2005-09-13 | 2007-03-21 | 中时网路科技股份有限公司 | System for establising associated keyword interlinking in words of content network site |
| CN101004737A (en) * | 2007-01-24 | 2007-07-25 | 贵阳易特软件有限公司 | Individualized document processing system based on keywords |
| CN102567435A (en) * | 2010-12-31 | 2012-07-11 | 宏碁股份有限公司 | Integration method of multimedia information source and hyperlink device and electronic device thereof |
| WO2015158249A1 (en) * | 2014-04-16 | 2015-10-22 | 华为技术有限公司 | Information processing method, apparatus, and system based on instant messaging |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105574162A (en) | 2016-05-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105574162B (en) | The method of the automatic hyperlink of keyword | |
| US8255386B1 (en) | Selection of documents to place in search index | |
| US9489401B1 (en) | Methods and systems for object recognition | |
| KR101361182B1 (en) | Systems for and methods of finding relevant documents by analyzing tags | |
| CN106933947B (en) | A kind of searching method and device, electronic equipment | |
| US20180189614A1 (en) | Method and device for classifying webpages | |
| US8812508B2 (en) | Systems and methods for extracting phases from text | |
| CN104035972B (en) | A kind of knowledge recommendation method and system based on microblogging | |
| CN107463591A (en) | The method and system with the image dynamic order of content matching is treated in response to search inquiry | |
| US8825620B1 (en) | Behavioral word segmentation for use in processing search queries | |
| CN110019616A (en) | A kind of POI trend of the times state acquiring method and its equipment, storage medium, server | |
| JP2007334502A (en) | Retrieving device, method, and program | |
| KR20030016037A (en) | Method for searching web page on popularity of visiting web pages and apparatus thereof | |
| WO2023108980A1 (en) | Information push method and device based on text adversarial sample | |
| CN103970800B (en) | The extraction processing method and system of webpage associative key | |
| CN101310277B (en) | Method of obtaining a representation of a text and system | |
| CN107491465A (en) | For searching for the method and apparatus and data handling system of content | |
| CN110175264A (en) | Construction method, server and the computer readable storage medium of video user portrait | |
| KR20040087205A (en) | A method of managing web sites registered in search engine and a system thereof | |
| Klein et al. | Evaluating methods to rediscover missing web pages from the web infrastructure | |
| WO2017000659A1 (en) | Enriched uniform resource locator (url) identification method and apparatus | |
| Sluban et al. | URL Tree: Efficient unsupervised content extraction from streams of web documents | |
| CN108681571B (en) | Theme crawler system and method based on Word2Vec | |
| CN103064873B (en) | A kind of web page quality data capture method and system | |
| KR101180371B1 (en) | Folksonomy-based personalized web search method and system for performing the method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |