CN107948312A - A kind of information categorization dissemination method and system using location point as information entrance - Google Patents
A kind of information categorization dissemination method and system using location point as information entrance Download PDFInfo
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- CN107948312A CN107948312A CN201711376382.8A CN201711376382A CN107948312A CN 107948312 A CN107948312 A CN 107948312A CN 201711376382 A CN201711376382 A CN 201711376382A CN 107948312 A CN107948312 A CN 107948312A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/56—Provisioning of proxy services
- H04L67/566—Grouping or aggregating service requests, e.g. for unified processing
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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
- G06F16/10—File systems; File servers
- G06F16/18—File system types
- G06F16/182—Distributed file systems
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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
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/35—Clustering; Classification
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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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- 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
- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
- G06F40/289—Phrasal analysis, e.g. finite state techniques or chunking
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Abstract
The present invention relates to a kind of information categorization dissemination method and system using location point as information entrance, this method includes：User terminal sends the solicited message for claiming location point to background server；Background server audits the user information, and the registered user passed through to examination ＆ verification provides position dot address, location point icon and the initial password that logs in the location point associated with the user information, and the initial page of content link address is included for location point configuration；After the information monitoring thread of user terminal monitors user in-position point and addition new information, the new information is sent to background server and is stored；The information page that strong information is pushed to user terminal by the pusher of background server by affiliated new category of information is issued, and the information page that weak information is pushed to backstage by the new category of information is issued.By technical scheme, user can be obtained information needed by specific location point or carry out the automatic clustering issue of new information.
Description
Technical field
The present invention relates to technical field of information processing, and in particular to a kind of information using location point as information entrance is returned
Class dissemination method and system.
Background technology
World today's computer internet technology is following also to be played increasingly for the progressive of the mankind widely used in the mankind
Important effect.With the development of science and technology, computer internet technology be certain to become increasingly complex it is various, but in order to lift use
Family experience, future user application method and means must but require it more and more simpler.Currently on the internet when we will
When publishing an article, it may be necessary to onto microblogging；When we will put question to, it may arrive and know；Look for a job when we will send out resume,
Issue is accused may need to 58 same cities when transferring the possession of storefront information；Make business, sell product, the service of selling may need Taobao or capital
A shop is first opened on east；May etc.. this can seem that some are complicated for current most users.If work as
One user wants to do the thing on any internet, can everywhere, arbitrarily issue then other things and transfer to computer
Systems technology helps through, then this by substantially reduce user using difficulty and save the quality time of user, so as to be
Development, the progress of the mankind of society bring some helps.
The content of the invention
In view of this, information is used as using location point it is an object of the invention to overcome the deficiencies of the prior art and provide one kind
The information categorization dissemination method and system of entrance, user can be obtained information needed by specific location point or carry out new information
Automatic clustering issue.
In order to achieve the above object, the present invention adopts the following technical scheme that：
A kind of information categorization dissemination method using location point as information entrance, including：
Step S1, user terminal sends the solicited message for claiming location point to background server；Wherein, the application position
The solicited message of point includes the user information of registered user；
Step S2, background server audits the user information, and the registered user passed through to examination ＆ verification provides and the use
Position dot address, location point icon and the initial password for logging in the location point that family information is associated；Wherein, the location point
Location corresponds to an initial page for including content link address；
Step S3, after the information monitoring thread of user terminal monitors user in-position point and addition new information, start
The new information that thread obtains user's addition is collected in information search；Wherein, the user enters the location point and includes：Pass through link
The position dot address enters the location point, or enters the location point, Huo Zhetong by clicking on the location point icon
Cross input user information and enter the location point；
Step S4, the new information is sent to background server and is stored by user terminal；
Step S5, the new category of information stored in the analyzer analysis memory of background server；
Step S6, described analyzer analyzes the degree of correlation of the new information and the new category of information, by degree of correlation highest
New information be determined as strong information, otherwise, it is determined that being weak information；
Step S7, the strong information is pushed to user terminal by the pusher of background server by affiliated new category of information
Information page is issued, and the information page that the weak information is pushed to backstage by the new category of information is issued；Its
In, the information page of the user terminal includes：The established all kinds of site information pages and user are currently located on internet
Information page；The information page on the backstage includes：The self-built information classification issue page and artificial by system background of system
The information classification issue page of exploitation；
Step S8, the information mutual communication thread of background server is established between location point information and the location point information of forwarding
Link；Wherein, the location point information includes the new information of pusher push issue；
Step S9, after described information intercommunication thread detects that user deletes or cancels location point information, delete or cancel
The location point information of forwarding and its link.
Preferably, the information categorization dissemination method using location point as information entrance, further includes：
The location point of each friend in active user's terminal AutoLink address list, establishes the position for including each friend in address list
A link net is put, or active user's terminal sends to other users terminal and invites other side to add inviting for oneself location point link net
Please, so that other side is added to the location point link net of oneself；
Active user's terminal sends the request for adding other side's location point link net to other users terminal, to add other side's
Location point links net；Wherein, all location point information mutual communications in same position point link net.
Preferably, the new information includes the various information of newest issue and the newest issue of internal system outside user；
The location point information includes public information and security information, wherein, the security information includes the whole network security information, region is protected
Confidential information and for individual formula security information.
Preferably, in the step S3, the new information that thread acquisition user's addition is collected in described information search specifically includes：
Crawlers obtain and the relevant new information of presupposed information classification, and carry out word segmentation processing to the new information, obtain
The word segmentation processing result information of some words and/or phrase must be included；
It is based respectively on same semantic attribute parameter in semantic base institute's predicate and/or phrase is weighted, obtains institute
State the semantic attribute parameter of new information；
If the semantic attribute parameter of the new information protects the new information in default information category parameter area
Deposit to crawl result queue.
Preferably, it is described to be based respectively on same semantic attribute parameter in semantic base institute's predicate and/or phrase are weighted
Computing, obtains further including before the semantic attribute parameter of the new information：
Cluster operation is carried out to institute's predicate and/or phrase, according to semantic base data acquisition institute's predicate and/or phrase
The semantic attribute parameter.
Preferably, the step S5 is specifically included：
Step S51, pending new information is collected and stored in distributed file system HDFS file system；
Step S52, using hard cluster K-Means algorithms to storage to the new information in the HDFS file system into
Row cluster, and obtain one or more cluster data group；Using each described cluster data group of acquisition as one kind
Hot information.
Preferably, in the step S52, using hard cluster K-Means algorithms to storing into the HDFS file system
The new information clustered, specifically include：
Step S521, k information is arbitrarily selected into whole new informations in the HDFS file system from storage, and it is right
The current location of the K information is as initial cluster center；Wherein, k is integer, is previously given cluster numbers；
Step S522, calculate in each non-selected new information and the k initial clusterings in whole new informations
The distance of the heart；
Step S523, k initial cluster centers of each described non-selected new information and whole are obtained to calculate
Minimum range in the whole distance gone out；
Step S524, the non-selected new information is distributed to and the corresponding initial clustering of the minimum range
Center；
Step S525, the whole non-selected new information according to assigned by each initial cluster center
Distribution situation, fits the average center of the non-selected new information of whole assigned by each described initial cluster center
Position, and using the average center as cluster centre；
Step S526, judge whether the initial cluster center is identical with the position of the cluster centre, if described first
Beginning cluster centre and the position of the cluster centre differ, then enter step S327；If the initial cluster center and institute
It is identical to state the position of cluster centre, then the cluster terminates；
Step S527, the new information at the k initial cluster centers is moved to and each initial clustering respectively
The corresponding cluster centre in center, and return to step S322.
Preferably, the new information at the cluster centre is with being assigned to the described non-selected new of the cluster centre
Information collectively constitutes data group.
Preferably, the step S5 is further included：
Step S53, to generate a Tyson respectively per a kind of hot information to acquisition using Fortune algorithms polygon
Shape Voronoi diagram.
In addition, the invention also provides a kind of information categorization delivery system using location point as information entrance, including：
Background server and user terminal, wherein, the background server and user terminal pass through internet wireless and/or wired company
Connect, the internet includes global internet and regional internet；The user terminal includes：Desktop computer, pen
Remember this computer, tablet computer and/or smart mobile phone；
The user terminal is used for the new information for receiving user's addition, and is sent to background server, the background service
Device is used to classify the new information, and carries out push issue to the user terminal.
The present invention uses above technical scheme, at least possesses following beneficial effect：
As shown from the above technical solution, this information categorization hair using location point as information entrance provided by the invention
Cloth method, Internet user can issue any information by location point, after background server carries out analysis classification to the information,
It is pushed to user terminal to be issued, user can be checked at any time by the location point of user terminal.It is provided by the invention this
Using location point as the information categorization dissemination method of information entrance, user can in any terminal by location point everywhere,
Arbitrarily issue and check that new information finds the institute of correlation without spending more the mental, time, so that it is difficult to substantially reduce using for user
Spend and save the quality time of user.
In addition, Internet user issues any information, after being forwarded by other users used in its elsewhere as a result, the use
Family can get in its location point and can establish and be contacted with other users, can equally substantially reduce the use difficulty of user
And save the quality time of user.
Furthermore Internet user's lookup information needed can be directly entered location point and leaf through or be searched in a small range, and nothing
It need to be rummaged again in substantial amounts of search result by ransacing or searching on a large scale on a large scale, so as to greatly reduce user again
Using difficulty and save the quality time of user.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is attached drawing needed in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, without creative efforts, can be with
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is a kind of information categorization dissemination method using location point as information entrance that one embodiment of the invention provides
Flow diagram；
Fig. 2 is a kind of information categorization delivery system using location point as information entrance that one embodiment of the invention provides
Schematic block diagram.
Embodiment
To make the object, technical solutions and advantages of the present invention clearer, technical scheme will be carried out below
Detailed description.Obviously, described embodiment is only part of the embodiment of the present invention, instead of all the embodiments.Base
Embodiment in the present invention, those of ordinary skill in the art are obtained all on the premise of creative work is not made
Other embodiment, belongs to the scope that the present invention is protected.
Below by drawings and examples, technical scheme is described in further detail.
Referring to Fig. 1, a kind of information categorization using location point as information entrance that one embodiment of the invention provides is issued
Method, including：
Step S1, user terminal sends the solicited message for claiming location point to background server；Wherein, the application position
The solicited message of point includes the user information of registered user；
Step S2, background server audits the user information, and the registered user passed through to examination ＆ verification provides and the use
Position dot address, location point icon and the initial password for logging in the location point that family information is associated；Wherein, the location point
Location corresponds to an initial page for including content link address；
Step S3, after the information monitoring thread of user terminal monitors user in-position point and addition new information, start
The new information that thread obtains user's addition is collected in information search；Wherein, the user enters the location point and includes：Pass through link
The position dot address enters the location point, or enters the location point, Huo Zhetong by clicking on the location point icon
Cross input user information and enter the location point；
Step S4, the new information is sent to background server and is stored by user terminal；
Step S5, the new category of information stored in the analyzer analysis memory of background server；
Step S6, described analyzer analyzes the degree of correlation of the new information and the new category of information, by degree of correlation highest
New information be determined as strong information, otherwise, it is determined that being weak information；
Step S7, the strong information is pushed to user terminal by the pusher of background server by affiliated new category of information
Information page is issued, and the information page that the weak information is pushed to backstage by the new category of information is issued；Its
In, the information page of the user terminal includes：The established all kinds of site information pages and user are currently located on internet
Information page；The information page on the backstage includes：The self-built information classification issue page and artificial by system background of system
The information classification issue page of exploitation；
Step S8, the information mutual communication thread of background server is established between location point information and the location point information of forwarding
Link；Wherein, the location point information includes the new information of pusher push issue；
Step S9, after described information intercommunication thread detects that user deletes or cancels location point information, delete or cancel
The location point information of forwarding and its link.
It should be noted that in the step S1, the user information includes but not limited to：User name, account, icon,
IP address, ID number, cell-phone number, mailbox number, identification card number, business license number.
The initial page includes：The page of the existing various pages and system automatic development and by artificial on internet
The page newly developed.
In the step S3, user adds new information, can be user in-position point check, be interactive, addition, delete,
New information is added when cancelling and manage the location point information.
The user further includes into the location point：Enter the location point by scanning the location point Quick Response Code.
In the step S3, the user enters the location point, specifically includes：Click directly on location point icon, history
Record, link or input the association in-position points such as user number, user name, account number, IP, ID, scan position point Quick Response Code and look into
Forwarding information, question and answer are seen, pay close attention to, do shopping, pay, thumb up, evaluate, paste and replicated with leaving a message and inputting other information (question and answer
Include word, picture, picture, animation, stereotome, stereo-picture, voice, live pick-up with leaving a message and inputting other information
Video recording, live and video).
User is direct or clicks on icon or input association encrypted code entrance, checks and can have the page in space
The input of upper or blank space, delete, the information of revocation or renewal includes word, picture, image, stereotome, stereo-picture, dynamic
Draw, it is empty like reality, video, voice, live pick-up video recording, live, other data, sound wave, light wave, electric wave, magnetic force ripple, microwave,
The information such as link, code；The space includes cloud space, server space, system space and user's end spaces.
As shown from the above technical solution, this information categorization hair using location point as information entrance provided by the invention
Cloth method, Internet user can issue any information by location point, after background server carries out analysis classification to the information,
It is pushed to user terminal to be issued, user can be checked at any time by the location point of user terminal.It is provided by the invention this
Using location point as the information categorization dissemination method of information entrance, user can in any terminal by location point everywhere,
Arbitrarily issue and check that new information finds the institute of correlation without spending more the mental, time, so that it is difficult to substantially reduce using for user
Spend and save the quality time of user.
In addition, Internet user issues any information, after being forwarded by other users used in its elsewhere as a result, the use
Family can get in its location point and can establish and be contacted with other users, can equally substantially reduce the use difficulty of user
And save the quality time of user.
Furthermore Internet user's lookup information needed can be directly entered location point and leaf through or be searched in a small range, and nothing
It need to be rummaged again in substantial amounts of search result by ransacing or searching on a large scale on a large scale, so as to greatly reduce user again
Using difficulty and save the quality time of user.
Preferably, the information categorization dissemination method using location point as information entrance, further includes：
The location point of each friend in active user's terminal AutoLink address list, establishes the position for including each friend in address list
A link net is put, or active user's terminal sends to other users terminal and invites other side to add inviting for oneself location point link net
Please, so that other side is added to the location point link net of oneself；
Active user's terminal sends the request for adding other side's location point link net to other users terminal, to add other side's
Location point links net；Wherein, all location point information mutual communications in same position point link net.
Preferably, the new information includes the various information of newest issue and the newest issue of internal system outside user；
The location point information includes public information and security information, wherein, the security information includes the whole network security information, region is protected
Confidential information and for individual formula security information.
It is understood that when have location point information not in the security areas of setting be the whole network public information, it is any
User can search for relevant information with keyword or correlative.
Preferably, in the step S3, the new information that thread acquisition user's addition is collected in described information search specifically includes：
Crawlers obtain and the relevant new information of presupposed information classification, and carry out word segmentation processing to the new information, obtain
The word segmentation processing result information of some words and/or phrase must be included；
It is based respectively on same semantic attribute parameter in semantic base institute's predicate and/or phrase is weighted, obtains institute
State the semantic attribute parameter of new information；
If the semantic attribute parameter of the new information protects the new information in default information category parameter area
Deposit to crawl result queue.
Preferably, it is described to be based respectively on same semantic attribute parameter in semantic base institute's predicate and/or phrase are weighted
Computing, obtains further including before the semantic attribute parameter of the new information：
Cluster operation is carried out to institute's predicate and/or phrase, according to semantic base data acquisition institute's predicate and/or phrase
The semantic attribute parameter.
Preferably, the step S5 is specifically included：
Step S51, pending new information is collected and stored in distributed file system HDFS file system；
Step S52, using hard cluster K-Means algorithms to storage to the new information in the HDFS file system into
Row cluster, and obtain one or more cluster data group；Using each described cluster data group of acquisition as one kind
Hot information.
Preferably, in the step S52, using hard cluster K-Means algorithms to storing into the HDFS file system
The new information clustered, specifically include：
Step S521, k information is arbitrarily selected into whole new informations in the HDFS file system from storage, and it is right
The current location of the K information is as initial cluster center；Wherein, k is integer, is previously given cluster numbers；
Step S522, calculate in each non-selected new information and the k initial clusterings in whole new informations
The distance of the heart；
Step S523, k initial cluster centers of each described non-selected new information and whole are obtained to calculate
Minimum range in the whole distance gone out；
Step S524, the non-selected new information is distributed to and the corresponding initial clustering of the minimum range
Center；
Step S525, the whole non-selected new information according to assigned by each initial cluster center
Distribution situation, fits the average center of the non-selected new information of whole assigned by each described initial cluster center
Position, and using the average center as cluster centre；
Step S526, judge whether the initial cluster center is identical with the position of the cluster centre, if described first
Beginning cluster centre and the position of the cluster centre differ, then enter step S327；If the initial cluster center and institute
It is identical to state the position of cluster centre, then the cluster terminates；
Step S527, the new information at the k initial cluster centers is moved to and each initial clustering respectively
The corresponding cluster centre in center, and return to step S322.
Preferably, the new information at the cluster centre is with being assigned to the described non-selected new of the cluster centre
Information collectively constitutes data group.
Preferably, the step S5 is further included：
Step S53, to generate a Tyson respectively per a kind of hot information to acquisition using Fortune algorithms polygon
Shape Voronoi diagram.
In addition, referring to Fig. 2, the invention also provides a kind of information categorization using location point as information entrance issues system
System, including：Background server 1 and user terminal 2, wherein, the background server 1 and user terminal 2 pass through internet wireless
And/or wired connection, the internet include global internet and regional internet；The user terminal 2 includes：Platform
Formula electromechanics brain, laptop, tablet computer and/or smart mobile phone；
The user terminal 2 is used for the new information for receiving user's addition, and is sent to background server 1, the backstage clothes
Business device 1 is used to classify the new information, and carries out push issue to the user terminal 2.
Wherein, the user refers to multiple people using internet terminal equipment, including information publisher and information user.
Preferably, the user terminal further includes vehicle-mounted computer, POS machine, intelligent watch, Intelligent bracelet and intelligent glasses.
The above description is merely a specific embodiment, but protection scope of the present invention is not limited thereto, any
Those familiar with the art the invention discloses technical scope in, change or replacement can be readily occurred in, should all be contained
Cover within protection scope of the present invention.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.
Term " first ", " second " are only used for description purpose, and it is not intended that instruction or hint relative importance.Term " multiple " refers to
Two or more, unless otherwise restricted clearly.
Claims (10)
- A kind of 1. information categorization dissemination method using location point as information entrance, it is characterised in that including：Step S1, user terminal sends the solicited message for claiming location point to background server；Wherein, it is described to claim location point Solicited message includes the user information of registered user；Step S2, background server audits the user information, and the registered user passed through to examination ＆ verification provides and believes with the user The associated position dot address of manner of breathing, location point icon and the initial password for logging in the location point；Wherein, the position dot address pair Answer an initial page for including content link address；Step S3, after the information monitoring thread of user terminal monitors user in-position point and addition new information, information is started The new information that thread obtains user's addition is collected in search；Wherein, the user enters the location point and includes：By described in link Position dot address enters the location point, either by clicking on the location point icon into the location point or by defeated Access customer information enters the location point；Step S4, the new information is sent to background server and is stored by user terminal；Step S5, the new category of information stored in the analyzer analysis memory of background server；Step S6, described analyzer analyzes the degree of correlation of the new information and the new category of information, and the degree of correlation is highest new Information is determined as strong information, otherwise, it is determined that being weak information；Step S7, the strong information is pushed to the information of user terminal by the pusher of background server by affiliated new category of information The page is issued, and the information page that the weak information is pushed to backstage by the new category of information is issued；Wherein, institute Stating the information page of user terminal includes：The information that the established all kinds of site information pages and user are currently located on internet The page；The information page on the backstage includes：The self-built information of system classifies what is issued the page and manually developed by system background The information classification issue page；Step S8, the information mutual communication thread of background server establishes the chain between location point information and the location point information of forwarding Connect；Wherein, the location point information includes the new information of pusher push issue；Step S9, after described information intercommunication thread detects that user deletes or cancels location point information, delete or revocation has forwarded Location point information and its link.
- 2. the information categorization dissemination method according to claim 1 using location point as information entrance, it is characterised in that Further include：The location point of each friend in active user's terminal AutoLink address list, establishes the location point for including each friend in address list Net is linked, or active user's terminal sends the invitation for inviting other side to add oneself location point link net to other users terminal, with Other side is set to be added to the location point link net of oneself；Active user's terminal sends the request for adding other side's location point link net to other users terminal, to add the position of other side Point link net；Wherein, all location point information mutual communications in same position point link net.
- 3. the information categorization dissemination method according to claim 1 using location point as information entrance, it is characterised in that The new information includes the various information of newest issue and the newest issue of internal system outside user；The location point packet Public information and security information are included, wherein, the security information includes the whole network security information, region security information and for individual Formula security information.
- 4. the information categorization dissemination method according to claim 1 using location point as information entrance, it is characterised in that In the step S3, the new information that thread acquisition user's addition is collected in described information search specifically includes：Crawlers obtain and the relevant new information of presupposed information classification, and carry out word segmentation processing to the new information, are wrapped Word segmentation processing result information containing some words and/or phrase；It is based respectively on same semantic attribute parameter in semantic base institute's predicate and/or phrase is weighted, obtains described new The semantic attribute parameter of information；If the semantic attribute parameter of the new information in default information category parameter area, by the new information preserve to Capture result queue.
- 5. the information categorization dissemination method according to claim 4 using location point as information entrance, it is characterised in that It is described to be based respectively on same semantic attribute parameter in semantic base institute's predicate and/or phrase are weighted, obtain described new Further included before the semantic attribute parameter of information：Cluster operation is carried out to institute's predicate and/or phrase, according to semantic base data acquisition institute's predicate and/or phrase Semantic attribute parameter.
- 6. the information categorization dissemination method according to claim 1 using location point as information entrance, it is characterised in that The step S5 is specifically included：Step S51, pending new information is collected and stored in distributed file system HDFS file system；Step S52, gathered using hard cluster K-Means algorithms to storing to the new information in the HDFS file system Class, and obtain one or more cluster data group；Using each described cluster data group of acquisition as a kind of hot spot Information.
- 7. the information categorization dissemination method according to claim 6 using location point as information entrance, it is characterised in that In the step S52, carried out using hard cluster K-Means algorithms to storing to the new information in the HDFS file system Cluster, specifically includes：Step S521, k information is arbitrarily selected into whole new informations in the HDFS file system from storage, and to described The current location of K information is as initial cluster center；Wherein, k is integer, is previously given cluster numbers；Step S522, each non-selected new information and a initial cluster centers of k in whole new informations are calculated Distance；Step S523, obtain what k initial cluster centers of each described non-selected new information and whole calculated All minimum ranges in the distance；Step S524, by the non-selected new information distribute to in the corresponding initial clustering of the minimum range The heart；Step S525, the distribution of the whole non-selected new information according to assigned by each initial cluster center Situation, fits the average centre bit of the non-selected new information of whole assigned by each described initial cluster center Put, and using the average center as cluster centre；Step S526, judge whether the initial cluster center is identical with the position of the cluster centre, if described initial poly- Class center and the position of the cluster centre differ, then enter step S327；If the initial cluster center gathers with described The position at class center is identical, then the cluster terminates；Step S527, the new information at the k initial cluster centers is moved to and each initial cluster center respectively The corresponding cluster centre, and return to step S322.
- 8. the information categorization dissemination method according to claim 7 using location point as information entrance, it is characterised in that New information at the cluster centre collectively constitutes number with being assigned to the non-selected new information of the cluster centre According to group.
- 9. the information categorization dissemination method according to claim 6 using location point as information entrance, it is characterised in that The step S5 is further included：Step S53, a Thiessen polygon is generated using Fortune algorithms respectively to acquisition per a kind of hot information Voronoi diagram.
- A kind of 10. information categorization delivery system using location point as information entrance, it is characterised in that including：Background service Device and user terminal, wherein, the background server and user terminal are described mutual by internet wireless and/or wired connection Networking includes global internet and regional internet；The user terminal includes：Desktop computer, laptop, Tablet computer and/or smart mobile phone；The user terminal is used for the new information for receiving user's addition, and is sent to background server, and the background server is used Classify in by the new information, and push issue is carried out to the user terminal.
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