CN109241475A - A kind of intelligent information delivery system and method - Google Patents
A kind of intelligent information delivery system and method Download PDFInfo
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- CN109241475A CN109241475A CN201710559222.0A CN201710559222A CN109241475A CN 109241475 A CN109241475 A CN 109241475A CN 201710559222 A CN201710559222 A CN 201710559222A CN 109241475 A CN109241475 A CN 109241475A
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Abstract
The embodiment of the present invention proposes a kind of intelligent information delivery system and method, is related to technical field of information processing.The system comprises: intelligence planning subsystem generates content according to the keyword got, the content of generation is unfolded for obtaining keyword；Information issues subsystem, for publication quantity to be arranged, carries out intelligent publication and/or artificial publication according to content of the publication quantity of setting to expansion；Quality testing subsystem, for carrying out quality testing to the information after publication, it is ensured that information issues quality；Information display subsystem, for being shown to the information after publication.The system can be handled the information of publication, the ranking for promoting the quality of release information and showing in a search engine.
Description
Technical field
The present invention relates to technical field of information processing, in particular to a kind of intelligent information delivery system and method.
Background technique
Search engine (Search Engine) refer to according to certain strategy, with specific computer program from interconnection
It is online to collect information, after carrying out tissue and processing to information, retrieval service is provided for user, by the relevant information of user search
The system for showing user.Search engine includes full-text index, directory index, META Search Engine, vertical search engine, aggregation type
Search engine, portal search engine and free lists of links etc..
The automatic information of search engine collects function and is divided to two kinds.One is periodic search, i.e., at regular intervals, search is drawn
It holds up and actively sends " spider " program, the internet site in certain IP address range is retrieved, once the website that discovery is new,
Oneself database is added in the information and network address that it can automatically extract website.Another kind is to submit site search, i.e. website possesses
Person actively submits network address to search engine, it orients within a certain period of time to your website and sends " spider " program, scans yours
Website simultaneously will be stored in database for information about, in case user query.As great changes will take place for search engine index rule, actively
Network address is submitted not guarantee that your website can enter search engine database, best bet is more some external linkages of acquisition,
Search engine is allowed there are more chances to find you and automatically include your website.
Skill and means are issued by certain information, user can be made to be examined in a search engine according to particular keywords
The result that rope obtains nearly all is the information relevant with certain keyword set.Good promotion can be carried out in this way.
Summary of the invention
The purpose of the present invention is to provide a kind of intelligent information delivery system, which can carry out the information of publication
Processing, the ranking for promoting the quality of release information and showing in a search engine.
Another object of the present invention is to provide a kind of intelligent information dissemination methods, have corresponding effect.
To achieve the goals above, technical solution used in the embodiment of the present invention is as follows:
In a first aspect, the embodiment of the invention provides a kind of intelligent information delivery system, the system comprises:
Intelligence planning subsystem generates content according to the keyword got, to the content of generation for obtaining keyword
It is unfolded；
Information issues subsystem, for publication quantity to be arranged, carries out intelligence according to content of the publication quantity of setting to expansion
It can publication and/or artificial publication；
Quality testing subsystem, for carrying out quality testing to the information after publication, it is ensured that information issues quality；
Information display subsystem, for being shown to the information after publication.
By adopting the above technical scheme, intelligence planning subsystem passes through acquisition keyword first, to need the target city captured
The keyword of field is kernel keyword, generates content, and content is unfolded.
Information issues subsystem according to the quantity of the release information of setting, carries out information publication, can choose progress intelligence
Publication or artificial publication, also can choose intelligence publication and the artificial mode issued while carrying out.
Quality testing subsystem evaluates the information quality of publication, obtains quality evaluation result.
Further, the intelligence planning subsystem includes:.
Keyword obtains module, for obtaining keyword；
Content generating module, for generating content according to the keyword of acquisition；
Module is unfolded in content, for the content of generation to be unfolded.
By adopting the above technical scheme, keyword obtains module can directly obtain keyword from database, can also be straight
Connect input keyword.Content generation is the execution by content generating module, generates content, then opens up to the content of generation
It opens, so-called content expansion refers to content generating specific document form.
Further, the information publication subsystem includes:
Quantity setup module, for the quantity of release information to be arranged；
Intelligent release module, for releasing news automatically；
Artificial release module, for by manually releasing news.
By adopting the above technical scheme, the quantity for the information for needing to issue by the setting of quantity setup module, passes through intelligent hair
Cloth module will release news automatically, will be released news manually by artificial release module.
Further, the quality testing subsystem includes:
Intelligent quality detection module, for detecting the quality of release information automatically；
Manual quality's detection module, the quality for artificial detection release information.
Quality assessment module, the letter for being detected according to intelligent quality detection module and/or manual quality's detection module
The quality of breath carries out quality evaluation.
By adopting the above technical scheme, information quality can be evaluated automatically by intelligent quality detection module, manually
Quality detection module can be by artificially evaluating information quality.
Second aspect, the embodiment of the invention also provides a kind of intelligent information dissemination methods, which is characterized in that the side
Method includes:
A kind of intelligent information dissemination method, which is characterized in that the described method includes:
Step S1: obtaining keyword, generates content according to the keyword got, the content of generation is unfolded；
Step S2: setting publication quantity carries out intelligent publication and/or people according to content of the publication quantity of setting to expansion
Work publication；
Step S3: quality testing is carried out to the information after publication, it is ensured that information issues quality；
Step S4: the information after publication is shown.
By adopting the above technical scheme,
Further, keyword is obtained in the step S1, includes: according to the method that the keyword got generates content
Step S1.1: the information containing the keyword is detected by the keyword of acquisition in the local database, statistics contains
There is the quantity of the information of the keyword；
Step S1.2: obtain equivalent not containing the information of the key word information；
Step S1.3: by the information containing the keyword and the information containing the keyword is not spliced, and is obtained new
Information.
By adopting the above technical scheme, by the information containing keyword and side that information containing the keyword is not spliced
Formula is that automatic Mosaic mode is similar with document structure tree mode in the prior art.
Further, include: to the method for the information progress quality testing after publication in the step S3
Step S3.1: the forwarding time of quality when not issuing, the amount of target information and target information of target information is obtained
Number；
Step S3.2: establishing initial mass detection model, and the initial mass detection model can be according to target information not
The amount of quality, target information and the hop count of target information when publication obtain the initial mass that target information is calculated；
Step S3.3: establishing quality more new model, and quality more new model can be completed according to the initial mass of target information
The update of target information quality.
Further, the method for establishing initial mass detection model includes:
Step S3.2.1: quality when target information is not issued is set as Y；The amount of target information is x；Target information forwarding
Number is n；If an intermediate function are as follows: W (x)=α (x) * Y, α (x) > 1；
Step S3.2.2: target accessory flows into dealer, it is assumed that the quality forwarded every time is swollen after internet forwards n times
Swollen rate is β1,.....,βn；Obtain the initial mass of target information are as follows:
M0=α (x) * Y* (1+ β1)...(1+βn)。
Further, the method for establishing quality more new model includes:
Step S3.3.1: assuming that in the update of completed kth, the period where effective quality is [tk-1,tk]；
There is r effective mass in the period, be denoted as respectively: p1,....,pr；If kth updates and the K+1 minor tick time are as follows:
[tk,tk+1]；
Step S3.3.2: remove [tk,tk+1] inner noise data；
Step S3.3.3: the period of valid data is updated are as follows: [tk-1,tk]；By period [tk-1,tk] and [tk,tk+1]
Merge；
Step S3.3.4:, it is assumed that [tk-1,tk+1] total T valid data, before we remember in chronological orderItem is
x1,....,xa；AfterwardsItem is y1,....,yb；
Step S3.3.5: assuming that x1,....,xa,y1,....,ybEqual Normal Distribution；
It enables
IfThen enable [tk,tk+1] :=[tk-1,tk+1]；
IfThen enable [tk,tk+1] :=[t 'k,tk+1]；
Wherein t 'kFor y1The place moment.
One invention, a kind of intelligent information delivery system provided in an embodiment of the present invention, which can be according to keyword
The information content is automatically generated, information is issued automatically, while the quality of information can also be assessed, guarantees information publication
Effect.
On the other hand, a kind of intelligent information dissemination method provided in an embodiment of the present invention has corresponding effect.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate
Appended attached drawing, is described in detail below.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 shows the system structure diagram of intelligent information delivery system provided in an embodiment of the present invention.
Fig. 2 shows the structural schematic diagrams of intelligence planning subsystem provided in an embodiment of the present invention.
Fig. 3 shows the structural schematic diagram of information publication subsystem provided in an embodiment of the present invention.
Fig. 4 shows the structural schematic diagram of quality testing subsystem provided in an embodiment of the present invention.
Fig. 5 shows the method flow schematic diagram of intelligent information dissemination method provided in an embodiment of the present invention.
Icon: intelligently planning subsystem, 200- information issue subsystem, 300- quality testing subsystem, 400- letter to 100-
Display subsystem is ceased, 101- keyword obtains module, 102- content generating module, and module is unfolded in 103- content, and 201- quantity is set
Set module, the artificial release module of 202-, 203- intelligence release module, 301- intelligent quality detection module, 302- manual quality inspection
Survey module, 303- quality assessment module, 501- step S1,502- step S2,503- step S3,504- step S4.
Specific embodiment
Below in conjunction with attached drawing in the embodiment of the present invention, technical solution in the embodiment of the present invention carries out clear, complete
Ground description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Usually exist
The component of the embodiment of the present invention described and illustrated in attached drawing can be arranged and be designed with a variety of different configurations herein.Cause
This, is not intended to limit claimed invention to the detailed description of the embodiment of the present invention provided in the accompanying drawings below
Range, but it is merely representative of selected embodiment of the invention.Based on the embodiment of the present invention, those skilled in the art are not doing
Every other embodiment obtained under the premise of creative work out, shall fall within the protection scope of the present invention.
It should also be noted that similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined in a attached drawing, does not then need that it is further defined and explained in subsequent attached drawing.Meanwhile of the invention
In description, term " first ", " second " etc. are only used for distinguishing description, are not understood to indicate or imply relative importance.
First embodiment
Referring to Fig. 1, Fig. 1 shows a kind of intelligent information delivery system.The system includes:
Intelligence planning subsystem generates content according to the keyword got, to the content of generation for obtaining keyword
It is unfolded；
Information issues subsystem, for publication quantity to be arranged, carries out intelligence according to content of the publication quantity of setting to expansion
It can publication and/or artificial publication；
Quality testing subsystem, for carrying out quality testing to the information after publication, it is ensured that information issues quality；
Information display subsystem, for being shown to the information after publication.
It should be understood that structure shown in FIG. 1 is only to illustrate, intelligent information delivery system may also include than in Fig. 1
Shown more perhaps less component or with the configuration different from shown in Fig. 1.Each component shown in Fig. 1 can use
Hardware, software, or its combination is realized.
Further, referring to Fig. 2, Fig. 2 shows a kind of intelligent information hairs that can be applied in the embodiment of the present invention
The functional block diagram of the intelligence planning subsystem of distribution system.As shown in Fig. 2, the intelligence planning subsystem includes:
Keyword obtains module, for obtaining keyword；
Content generating module, for generating content according to the keyword of acquisition；
Module is unfolded in content, for the content of generation to be unfolded.
It is appreciated that structure shown in Fig. 2 is only to illustrate, intelligence planning subsystem may also include more than shown in Fig. 2
Perhaps less component or with the configuration different from shown in Fig. 2.Each component shown in Fig. 2 can use hardware, software
Or combinations thereof realize.
Further, referring to Fig. 3, Fig. 3 shows a kind of intelligent information hair that can be applied in the embodiment of the present invention
The functional block diagram of the information publication subsystem of distribution system.As shown in figure 3, the intelligence planning subsystem includes:
Quantity setup module, for the quantity of release information to be arranged；
Intelligent release module, for releasing news automatically；
Artificial release module, for by manually releasing news.
It is appreciated that structure shown in Fig. 3 is only to illustrate, information publication subsystem may also include more than shown in Fig. 3
Perhaps less component or with the configuration different from shown in Fig. 3.Each component shown in Fig. 3 can use hardware, software
Or combinations thereof realize.
Further, referring to Fig. 4, Fig. 4 shows a kind of intelligent information hair that can be applied in the embodiment of the present invention
The functional block diagram of the quality testing subsystem of distribution system.As shown in figure 3, the intelligence planning subsystem includes:
Intelligent quality detection module, for detecting the quality of release information automatically；
Manual quality's detection module, the quality for artificial detection release information.
Quality assessment module, the letter for being detected according to intelligent quality detection module and/or manual quality's detection module
The quality of breath carries out quality evaluation.
It is appreciated that structure shown in figure is only to illustrate, quality testing subsystem may include it is more than shown in Fig. 4 or
Less component, or with the configuration different from shown in Fig. 4.Each component shown in Fig. 4 can using hardware, software or its
Combination is realized.
Second embodiment
Referring to Fig. 5, a kind of intelligent information dissemination method provided in an embodiment of the present invention, which is characterized in that the side
Method includes:
A kind of intelligent information dissemination method, which is characterized in that the described method includes:
Step S1: obtaining keyword, generates content according to the keyword got, the content of generation is unfolded；
Step S2: setting publication quantity carries out intelligent publication and/or people according to content of the publication quantity of setting to expansion
Work publication；
Step S3: quality testing is carried out to the information after publication, it is ensured that information issues quality；
Step S4: the information after publication is shown.
It is executed specifically, step S1 can plan subsystem by intelligence.
It is executed specifically, step S2 can issue subsystem by information.
Specifically, step S3 can be executed by quality testing subsystem.
Specifically, step S4 can be executed by information display subsystem.
Further, keyword is obtained in the step S1, includes: according to the method that the keyword got generates content
Step S1.1: the information containing the keyword is detected by the keyword of acquisition in the local database, statistics contains
There is the quantity of the information of the keyword；
Step S1.2: obtain equivalent not containing the information of the key word information；
Step S1.3: by the information containing the keyword and the information containing the keyword is not spliced, and is obtained new
Information.
It is executed specifically, step S1.1 can obtain module by keyword.
Specifically, step S1.2 and step S1.3 can be executed by content generating module.
Further, include: to the method for the information progress quality testing after publication in the step S3
Step S3.1: the forwarding time of quality when not issuing, the amount of target information and target information of target information is obtained
Number；
Step S3.2: establishing initial mass detection model, and the initial mass detection model can be according to target information not
The amount of quality, target information and the hop count of target information when publication obtain the initial mass that target information is calculated；
Step S3.3: establishing quality more new model, and quality more new model can be completed according to the initial mass of target information
The update of target information quality.
Specifically, the step S3.1, step S3.2 and step S3.3 are the result that intelligent quality detection module executes；People
Work quality detection module directly inputs assessment result after assessment by manually carrying out quality evaluation.
Further, the method for establishing initial mass detection model includes:
Step S3.2.1: quality when target information is not issued is set as Y；The amount of target information is x；Target information forwarding
Number is n；If an intermediate function are as follows: W (x)=α (x) * Y, α (x) > 1；
Step S3.2.2: target accessory flows into dealer, it is assumed that the quality forwarded every time is swollen after internet forwards n times
Swollen rate is β1,.....,βn；Obtain the initial mass of target information are as follows:
M0=α (x) * Y* (1+ β1)...(1+βn)。
Further, the method for establishing quality more new model includes:
Step S3.3.1: assuming that in the update of completed kth, the period where effective quality is [tk-1,tk]；
There is r effective mass in the period, be denoted as respectively: p1,....,pr；If kth updates and the K+1 minor tick time are as follows:
[tk,tk+1]；
Step S3.3.2: remove [tk,tk+1] inner noise data；
Step S3.3.3: the period of valid data is updated are as follows: [tk-1,tk]；By period [tk-1,tk] and [tk,tk+1]
Merge；
Step S3.3.4:, it is assumed that [tk-1,tk+1] total T valid data, before we remember in chronological orderItem is
x1,....,xa；AfterwardsItem is y1,....,yb；
Step S3.3.5: assuming that x1,....,xa,y1,....,ybEqual Normal Distribution；
It enables
IfThen enable [tk,tk+1] :=[tk-1,tk+1]；
IfThen enable [tk,tk+1] :=[t 'k,tk+1]；
Wherein t 'kFor y1The place moment.
3rd embodiment
A kind of intelligent information delivery system, the system comprises:
Intelligence planning subsystem generates content according to the keyword got, to the content of generation for obtaining keyword
It is unfolded；
Information issues subsystem, for publication quantity to be arranged, carries out intelligence according to content of the publication quantity of setting to expansion
It can publication and/or artificial publication；
Quality testing subsystem, for carrying out quality testing to the information after publication, it is ensured that information issues quality；
Information display subsystem, for being shown to the information after publication.
The intelligence planning subsystem, which is connected separately, issues subsystem and information display subsystem in information；The letter
Breath publication subsystem signals are connected to quality testing subsystem；The quality testing subsystem signals are connected to information and show subsystem
System；The display subsystem signal is connected to intelligence planning subsystem.
Further, the intelligence planning subsystem includes:.
Keyword obtains module, for obtaining keyword；
Content generating module, for generating content according to the keyword of acquisition；
Module is unfolded in content, for the content of generation to be unfolded.
The keyword obtains module by signal and is connected to content generating module；In the content generating module signal is connected to
Hold expansion module.
Further, the information publication subsystem includes:
Quantity setup module, for the quantity of release information to be arranged；
Intelligent release module, for releasing news automatically；
Artificial release module, for by manually releasing news.
The quantity setup module is connected separately in intelligent release module and artificial release module.
Further, the quality testing subsystem includes:
Intelligent quality detection module, for detecting the quality of release information automatically；
Manual quality's detection module, the quality for artificial detection release information.
Quality assessment module, the letter for being detected according to intelligent quality detection module and/or manual quality's detection module
The quality of breath carries out quality evaluation.
The quality assessment module is connected separately in manual quality's detection module and intelligent quality detection module.
Second aspect, the embodiment of the invention also provides a kind of intelligent information dissemination methods, which is characterized in that the side
Method includes:
A kind of intelligent information dissemination method, which is characterized in that the described method includes:
Step S1: obtaining keyword, generates content according to the keyword got, the content of generation is unfolded；
Step S2: setting publication quantity carries out intelligent publication and/or people according to content of the publication quantity of setting to expansion
Work publication；
Step S3: quality testing is carried out to the information after publication, it is ensured that information issues quality；
Step S4: the information after publication is shown.
Further, keyword is obtained in the step S1, includes: according to the method that the keyword got generates content
Step S1.1: the information containing the keyword is detected by the keyword of acquisition in the local database, statistics contains
There is the quantity of the information of the keyword；
Step S1.2: obtain equivalent not containing the information of the key word information；
Step S1.3: by the information containing the keyword and the information containing the keyword is not spliced, and is obtained new
Information.
Further, include: to the method for the information progress quality testing after publication in the step S3
Step S3.1: the forwarding time of quality when not issuing, the amount of target information and target information of target information is obtained
Number；
Step S3.2: establishing initial mass detection model, and the initial mass detection model can be according to target information not
The amount of quality, target information and the hop count of target information when publication obtain the initial mass that target information is calculated；
Step S3.3: establishing quality more new model, and quality more new model can be completed according to the initial mass of target information
The update of target information quality.
Further, the method for establishing initial mass detection model includes:
Step S3.2.1: quality when target information is not issued is set as Y；The amount of target information is x；Target information forwarding
Number is n；If an intermediate function are as follows: W (x)=α (x) * Y, α (x) > 1；
Step S3.2.2: target accessory flows into dealer, it is assumed that the quality forwarded every time is swollen after internet forwards n times
Swollen rate is β1,.....,βn；Obtain the initial mass of target information are as follows:
M0=α (x) * Y* (1+ β1)...(1+βn)。
Further, the method for establishing quality more new model includes:
Step S3.3.1: assuming that in the update of completed kth, the period where effective quality is [tk-1,tk]；
There is r effective mass in the period, be denoted as respectively: p1,....,pr；If kth updates and the K+1 minor tick time are as follows:
[tk,tk+1]；
Step S3.3.2: remove [tk,tk+1] inner noise data；
Step S3.3.3: the period of valid data is updated are as follows: [tk-1,tk]；By period [tk-1,tk] and [tk,tk+1]
Merge；
Step S3.3.4:, it is assumed that [tk-1,tk+1] total T valid data, before we remember in chronological orderItem is
x1,....,xa；AfterwardsItem is y1,....,yb；
Step S3.3.5: assuming that x1,....,xa,y1,....,ybEqual Normal Distribution；
It enables
IfThen enable [tk,tk+1] :=[tk-1,tk+1]；
IfThen enable [tk,tk+1] :=[t 'k,tk+1]；
Wherein t 'kFor y1The place moment.
In several embodiments provided herein, it should be understood that disclosed device and method can also pass through
Other modes are realized.The apparatus embodiments described above are merely exemplary, for example, flow chart and block diagram in attached drawing
Show the device of multiple embodiments according to the present invention, the architectural framework in the cards of method and computer program product,
Function and operation.In this regard, each box in flowchart or block diagram can represent the one of a unit, program segment or code
Part, a part of the unit, program segment or code, which includes that one or more is for implementing the specified logical function, to be held
Row instruction.It should also be noted that function marked in the box can also be to be different from some implementations as replacement
The sequence marked in attached drawing occurs.For example, two continuous boxes can actually be basically executed in parallel, they are sometimes
It can execute in the opposite order, this depends on the function involved.It is also noted that every in block diagram and or flow chart
The combination of box in a box and block diagram and or flow chart can use the dedicated base for executing defined function or movement
It realizes, or can realize using a combination of dedicated hardware and computer instructions in the system of hardware.
In addition, each functional unit in each embodiment of the present invention can integrate one independent portion of formation together
Point, it is also possible to each unit individualism, an independent part can also be integrated to form with two or more units.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.
And storage medium above-mentioned includes: that USB flash disk, mobile hard disk, read-only memory (ROM, Read-Onl8 Memor8), arbitrary access are deposited
The various media that can store program code such as reservoir (RAM, Random Access Memor8), magnetic or disk.
It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
There is also other identical elements in process, method, article or equipment including the element.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.It should also be noted that similar label and letter exist
Similar terms are indicated in following attached drawing, therefore, once being defined in a certain Xiang Yi attached drawing, are then not required in subsequent attached drawing
It is further defined and explained.
Claims (9)
1. a kind of intelligent information delivery system, which is characterized in that institute's system includes:
Intelligence planning subsystem generates content according to the keyword got for obtaining keyword, carries out to the content of generation
Expansion；
Information issues subsystem, for publication quantity to be arranged, carries out intelligent hair according to content of the publication quantity of setting to expansion
Cloth and/or artificial publication；
Quality testing subsystem, for carrying out quality testing to the information after publication, it is ensured that information issues quality；
Information display subsystem, for being shown to the information after publication.
2. intelligent information delivery system as described in claim 1, which is characterized in that the intelligence plans subsystem and includes:.
Keyword obtains module, for obtaining keyword；
Content generating module, for generating content according to the keyword of acquisition；
Module is unfolded in content, for the content of generation to be unfolded.
3. intelligent information delivery system as claimed in claim 2, which is characterized in that the information issues subsystem and includes:
Quantity setup module, for the quantity of release information to be arranged；
Intelligent release module, for releasing news automatically；
Artificial release module, for by manually releasing news.
4. intelligent information delivery system as claimed in claim 3, which is characterized in that the quality testing subsystem includes:
Intelligent quality detection module, for detecting the quality of release information automatically；
Manual quality's detection module, the quality for artificial detection release information.
Quality assessment module, information for being detected according to intelligent quality detection module and/or manual quality's detection module
Quality carries out quality evaluation.
5. it is a kind of based on claim 1 to one of described in intelligent information delivery system method, which is characterized in that the side
Method includes:
Step S1: obtaining keyword, generates content according to the keyword got, the content of generation is unfolded；
Step S2: setting publication quantity carries out intelligent publication and/or artificial hair according to content of the publication quantity of setting to expansion
Cloth；
Step S3: quality testing is carried out to the information after publication, it is ensured that information issues quality；
Step S4: the information after publication is shown.
6. intelligent information dissemination method as claimed in claim 5, which is characterized in that keyword is obtained in the step S1,
Include: according to the method that the keyword got generates content
Step S1.1: the information containing the keyword is detected by the keyword of acquisition in the local database, statistics contains should
The quantity of the information of keyword；
Step S1.2: obtain equivalent not containing the information of the key word information；
Step S1.3: by the information containing the keyword and the information containing the keyword is not spliced, and obtains new information.
7. intelligent information dissemination method as claimed in claim 6, which is characterized in that the letter after publication in the step S3
Ceasing the method for carrying out quality testing includes:
Step S3.1: quality when not issuing of target information, the hop count of the amount of target information and target information are obtained；
Step S3.2: establishing initial mass detection model, and the initial mass detection model can not be issued according to target information
When quality, the amount of target information and target information hop count obtain the initial mass that target information is calculated；
Step S3.3: establishing quality more new model, and quality more new model can complete target according to the initial mass of target information
The update of information quality.
8. intelligent information dissemination method as claimed in claim 7, which is characterized in that described to establish initial mass detection model
Method include:
Step S3.2.1: quality when target information is not issued is set as Y；The amount of target information is x；The number of target information forwarding
For n；If an intermediate function are as follows: W (x)=α (x) * Y, α (x) > 1；
Step S3.2.2: target accessory flows into dealer, it is assumed that the quality expansion rate forwarded every time after internet forwards n times
For β1,.....,βn；Obtain the initial mass of target information are as follows:
M0=α (x) * Y* (1+ β1)...(1+βn)。
9. intelligent information dissemination method as claimed in claim 8, which is characterized in that the side for establishing quality more new model
Method includes:
Step S3.3.1: assuming that in the update of completed kth, the period where effective quality is [tk-1,tk]；The time
There is r effective mass in section, is denoted as respectively: p1,....,pr；If kth updates and the K+1 minor tick time are as follows: [tk,tk+1]；
Step S3.3.2: remove [tk,tk+1] inner noise data；
Step S3.3.3: the period of valid data is updated are as follows: [tk-1,tk]；By period [tk-1,tk] and [tk,tk+1] merge；
Step S3.3.4:, it is assumed that [tk-1,tk+1] total T valid data, before we remember in chronological orderItem is
x1,....,xa；AfterwardsItem is y1,....,yb；
Step S3.3.5: assuming that x1,....,xa,y1,....,ybEqual Normal Distribution；
It enables
IfThen enable [tk,tk+1] :=[tk-1,tk+1]；
IfThen enable [tk, tk+1] :=[t 'k-1, tk+1]；
Wherein t 'kFor y1The place moment.
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