CN105930442A - Statistical computing-based website search engine optimization method and system - Google Patents
Statistical computing-based website search engine optimization method and system Download PDFInfo
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- CN105930442A CN105930442A CN201610246899.4A CN201610246899A CN105930442A CN 105930442 A CN105930442 A CN 105930442A CN 201610246899 A CN201610246899 A CN 201610246899A CN 105930442 A CN105930442 A CN 105930442A
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- 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]
- G06F16/9566—URL specific, e.g. using aliases, detecting broken or misspelled links
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F16/90—Details of database functions independent of the retrieved data types
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- G06F16/953—Querying, e.g. by the use of web search engines
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Abstract
The invention discloses a statistical computing-based website search engine optimization method and system, which are used in the technical field of webpage search. The method sequentially comprises the steps of performing statistics on website traffic and input words to compute a title and description information of a website page; and applying the computed title to a link text of a url, and during search, and calling a new url automatically provided by the system through a webpage program to enable a user to quickly search out a required webpage. The system comprises an automatic computing unit and a link unit that correspond to the steps in the method. Only when a website is online, a rule is set and the system can automatically perform computing and generation of the title and brief introduction information according to the input words of the webpage or searched keywords; and the whole process runs fully automatically without manual intervention, so that the response speed is high and the time is saved.
Description
Technical field
The present invention relates to Webpage search technical field, a kind of website based on statistical computation
Search engine optimization method and system.
Background technology
Along with the Internet and the fast development of correlation technique, the life of people contacts with the Internet
More and more tightr.At present, in work, study and life process, people can be consciously
Go search for the answer oneself expected using Baidu.com, under this trend, by the website of demand
The most quickly searched by user and how enterprise allow the website of oneself be recommended to client,
Become an important problem.SEO (search engine optimization) is the important of current web popularization
Method, improves user by the use of SEO and locks the speed of demand website, also push away for enterprise
The website recommending oneself provides an important approach to client.
But, tradition SEO is required for website visiting statistics and carries out substantial amounts of analysis, and extraction has
Key word, carry out the setting of title and brief introduction for url, sometimes also need to for excellent
Elegant url carries out the popularization of friendly link, and the speed that promotion effect responds with SEO is closely related.
Such as a focus incident, the fresh phase the most in only a few days, how can be first
Related content is discharged to search engine prostatitis by the time, here it is be related to thousands of flow
Problem, will find outstanding key word in the very first time, and the very first time is by outstanding keyword modifier body
Now in title or brief introduction, and outstanding url is carried out the link in station by the very first time
It is that a job is the most loaded down with trivial details, the most very scissors and paste, the data volume that this work is directed not only to
Greatly, the most loaded down with trivial details, and whole process is substantially by being accomplished manually, complex operation and meeting
Occur omitting.
In view of drawbacks described above, creator of the present invention obtains finally through research for a long time and practice
The present invention.
Summary of the invention
For solving above-mentioned technological deficiency, the technical solution used in the present invention is, it is provided that Yi Zhongji
In the site search engine optimization method of statistical computation, including:
S1: counting website traffic and carry out measure word, calculates title and the description information of Website page;
S2: the title calculated is applied on the link text of url, when scanning for,
The url that web page program meeting calling system automated provisioning is new, makes user's fast search arrive demand
Webpage.
It is also preferred that the left described step S1 includes:
S11: utilize prize procedure to obtain network address url access record at the appointed time and search
Engine reference record;
S12: url information and the search engine reference record of statistics are stored in write queue;
S13: utilize Cloning processes that the data in write queue are stored in the first data base;And according to
Date, key word and url access the first data base respectively, it is thus achieved that every day, each url, every
The quantity of individual key word, and it is stored in the second data base;
S14: during user's search and webpage, system can be according to the data meter in described second data base
Calculate the title of desired page and profile information, title that page program generates after calling calculating and
Profile information also shows on the page.
It is also preferred that the left described prize procedure utilizes javascript (melon script) to be compiled
The capture ability of processing procedure sequence can be existing.
It is also preferred that the left described Cloning processes utilizes php (English supertext pretreatment language) institute
Clone's characteristic of programming realizes.
It is also preferred that the left described step S14 includes:
S140: check renewal frequency, reaches renewal frequency and performs step S142, if not up to
Renewal frequency, then perform step S141;
S141: title and profile information that the last search and webpage page used are provided;
S142: determine whether algorithm locks, if locking, performs step S143, if non-locking
Then perform step S144;
S143: title and profile information that the last search and webpage page used are provided;
S144: adjust weight, determines the weight of different search engine;
S145: carry out word sequence, according to the search engine weight calculated, calculates difference and searches
The weight of the used key word of rope, and arrange from big to small, generate a lists of keywords;
S146: carry out seed words customization, captures more words being associated according to seed words, expands
Fill word quantity;
S147: carry out word verification, determines the word that must occur and the word that must shield;
S148: arrange recommendation word, to meet the needs of special operation demand;
S149: grammatical term for the character quantity, if word lazy weight, then performs step S1410;If word number
Amount enough, then performs step S1411;
S1410: perform candidate rule program, when system reads the information of word lazy weight,
System can automatically be invoked at the candidate word that artificial rule arranges set by the stage and carry out word quantity
Candidate, supplement after perform step S1411;
S1411: carry out length check, deletes the part of overlength, the mainly title of verification and
The length of brief introduction;
S1412: the result of output json (javascript Object Notation) form, comprises page
The title in face and profile information.
It is also preferred that the left described step S2 includes:
S21: timing renewal link characters, the title of the url in regular check link every day,
Most important key word (first) in title is revised as the link characters of url;
S22: when web page program call chain connection interface when, system will provide up-to-date json
The url of form and link characters list, for called side.
The system that a kind of site search engine based on statistical computation optimizes, including:
Automatically computing unit, for counting website traffic with carry out measure word, calculates Website page
Title and the information of description;
Link unit, for the title calculated is applied to the link text of url, is entering
During line search, the url that web page program meeting calling system automated provisioning is new, make user quickly search
Rope is to the webpage of demand.
It is also preferred that the left described automatic computing unit includes:
Data statistics subelement, it utilizes prize procedure to obtain the visit at the appointed time of network address url
Ask record and search engine reference record;
Write queue subelement, for being stored in url information and the search engine reference record of statistics
Write queue;
Database purchase subelement, it utilizes Cloning processes that the data in write queue are stored in first
Data base;And access the first data base respectively according to date, key word and url, it is thus achieved that every day,
Each url, the quantity of each key word, and it is stored in the second data base;
Automatically computation subunit, during user's search and webpage, system can be according to described second data base
In data calculate the title of desired page and profile information, page program is raw after calling calculating
The title become and profile information showing on the page.
It is also preferred that the left described automatic computation subunit includes:
Frequency check module, is used for checking renewal frequency, reaches renewal frequency and imports algorithm locking
Detection module, if not up to renewal frequency, then imports the first information and stores module;
The first information stores module, for the title providing the last search and webpage page to be used
And profile information;
Algorithm lock-in detection module, is used for determining whether algorithm locks, if locking, imports second
Information stores module, if unlocked rule imports weight adjusting module;
Second information stores module, for the title providing the last search and webpage page to be used
And profile information;
Weight adjusting module, is used for adjusting weight, determines the weight of different search engine;
Word order module, is used for carrying out word sequence, according to the search engine weight calculated,
Calculate difference and search for the weight of used key word, and arrange from big to small, generate a key
Word list;
Seed words customized module, is used for carrying out seed words customization, captures more heterogeneous according to seed words
The word of association, expands word quantity;
Word correction verification module, is used for carrying out word verification, determines the word that must occur and must shield
The word covered;
Recommend word that module is set, be used for arranging recommendation word, to meet the needs of special operation demand;
Word quantity judge module, for grammatical term for the character quantity, if word lazy weight, then imports word
Candidate module;If word quantity is enough, then import length check module;
Word candidate module, is used for performing candidate rule program, when system reads word quantity not
Foot information time, system can automatically be invoked at artificial rule and arrange the candidate word set by the stage
Carry out the candidate of word quantity, after supplementing, import length check module;
Length check module, is used for carrying out length check, deletes the part of overlength, the master of verification
If title and the length of brief introduction;
Title generation module, is used for exporting json (javascript Object Notation) form
As a result, title and the profile information of the page are comprised.
It is also preferred that the left described link unit includes:
Automatically update subelement, for regularly updating link characters, in regular check link every day
The title of url, the most important key word (first) in title is revised as url's
Link characters;
Automatically supplying subelement, when web page program call chain connection interface when, system will provide
The url of up-to-date json form and link characters list, for called side.
Compared with prior art, the invention has the beneficial effects as follows: as long as when reaching the standard grade in website, if
Put rule, system by can automatically according to webpage come measure word or exploration to key word enter
Row headers and the calculating of brief introduction and generation, due to whole process fully automatic operation, it is not necessary to manually do
In advance, response speed block, time-consuming.
Accompanying drawing explanation
Fig. 1 is the flow chart of present invention site search based on statistical computation engine optimization method.
Fig. 2 is the flow chart that the present invention calculates automatically.
Fig. 3 is the flow chart that the present invention links and calls.
Detailed description of the invention
Below in conjunction with accompanying drawing, to the present invention, above-mentioned and other technical characteristic and advantage are made more detailed
Thin explanation.
A kind of based on statistical computation the site search engine optimization method that the present invention provides, including
Following steps:
S1: counting website traffic and carry out measure word, calculates title and the description information of Website page.
When adding up, prize procedure is mainly utilized to obtain statistical number, and by all about access
The url of the page and the data such as incoming road, key word be stored in data base, program can be by various url
Simply add up with the data of incoming road information, to facilitate computing.The page shows when,
Page program will directly invoke up-to-date title and brief introduction, and program is arranged according to artificial, captures
Url specifies the access record of time and search engine to carry out amount key word record, according to carrying out amount sequence,
Can calculate title and profile information, this process is realized by Automatic Program, and each search is drawn
Hold up shared weight can the most manually be adjusted.
S2: the title calculated is applied on the link text of url, when scanning for,
The url that web page program meeting calling system automated provisioning is new, makes user's fast search arrive demand
Webpage.
Embodiment one:
Shown in Figure 1, Fig. 1 is that present invention site search based on statistical computation engine is excellent
The flow chart of change method, is also the flow chart of step S1, and described step S1 includes:
S11: utilize prize procedure to obtain network address url access record at the appointed time and search
Engine reference record.
Here we mainly utilize javascript (the melon script language being inlaid in website
Speech) the capture ability capture network address url access record at the appointed time that programmed and searching
Reference record held up in index, and adds up, and search engine reference record includes that user passes through this
Engine enters the key word that required webpage is used.By statistics search engine reference record, I
May determine that user be by which search engine, which key word come need search page
Face.
S12: url information and the search engine reference record of statistics are stored in write queue.
S13: utilize Cloning processes that the data in write queue are stored in the first data base;And according to
Date, key word and url access the first data base respectively, it is thus achieved that every day, each url, every
The quantity of individual key word, and it is stored in the second data base.
Here Cloning processes mainly utilizes php (English supertext pretreatment language) to be compiled
Clone's characteristic of program by data clone in write queue to the first data base.
S14: during user's search and webpage, system can be according to the data meter in described second data base
Calculate the title of desired page and profile information, title that page program generates after calling calculating and
Profile information also shows on the page.
Before calculating, needing manually to arrange rule, after rule is provided with, system can be according to rule
Then and algorithm calculates automatically, new title and profile information are generated.
Embodiment two:
Shown in Figure 2, Fig. 2 is the flow chart that the present invention calculates automatically, is also described step
The flow chart of rapid S14, described step S14 includes:
S140: check renewal frequency, reaches renewal frequency and performs step S142, if not up to
Renewal frequency, then perform step S141.
Title and brief introduction can manually arrange renewal frequency, within such as 3 days, update once.
S141: title and profile information that the last search and webpage page used are provided.
S142: determine whether algorithm locks, if locking, performs step S143, if non-locking
Then perform step S144.
S143: title and profile information that the last search and webpage page used are provided.
Need to be updated in view of title and brief introduction, but when url is reduced to a certain degree of
Time, algorithm locks, and system can stop the algorithm routine that key word is recommended, and locks current
Url, to consolidate website ranking, now shows title and the profile information of last time.
S144: adjust weight, determines the weight of different search engine.
For the significance level of search engine, and the degree of contention of each word, determine search
Engine and the weight of word.Different search engine can be manually set and carry out the proportion shared by amount, also
Can add the computing formula of weight in a program, program can calculate power according to set formula
Weight, can calculate according to the weight of search engine and enter searched page institute by this search engine
The weight of the key word used.
S145: carry out word sequence, according to the search engine weight calculated, calculates difference and searches
The weight of the used key word of rope, and arrange from big to small, generate a lists of keywords.
S146: carry out seed words customization, captures more words being associated according to seed words, expands
Fill word quantity.
For to prevent the relatively low result of calculation caused of url flow during algorithm calculates
Inaccurate, algorithm can be more relevant by capturing in the artificial seed words removal search engine set
Word, for the quantity basis that the generation offer of final title or profile information is more excellent.
S147: carry out word verification, determines the word that must occur and the word that must shield.
According to the actual requirements, need the word that shielding is manually set and the word that must exist, calculate
During method calculates, these words are verified, determine the final word meeting and requiring.
S148: arrange recommendation word, to meet the needs of special operation demand.
The word having special operation demand for some, can be arranged to when manually arranging rule
Recommending word, this word will show pertinent the making of final result, and this word is put into lists of keywords,
Than if any the page be introduce be " No. 12 circuits of bus ", it is possible to arrange, it is necessary to
Occur that " No. 12 " such word only can not occur in " public transport ", but may work as
Time on No. 12 lines, there occurs some social newss, we just can add shielding word with screen
Cover these incoherent contents, step S147 masks this partial words.
S149: grammatical term for the character quantity, if word lazy weight, then performs step S1410;If word number
Amount enough, then performs step S1411.
System can be enough according to the quantity generating title and profile information automatic decision word.
S1410: perform candidate rule program, when system reads the information of word lazy weight,
System can automatically be invoked at the candidate word that artificial rule arranges set by the stage and carry out word quantity
Candidate, supplement after perform step S1411.
Owing to candidate rule may mate a collection of url, so general rule may comprise one
Fixed variable, such as { 1} buyer's guide, { 1} is exactly parameter, provides used here as called side
Parameter in general rule is replaced by parameter.
S1411: carry out length check, deletes the part of overlength, the mainly title of verification and
The length of brief introduction.
S1412: the result of output json (javascript Object Notation) form, comprises page
The title in face and profile information.
Json is here embodied as string format, utilizes the javascript language can be fine
Its implication of explanation.
Embodiment three:
Shown in Figure 3, Fig. 3 is the flow chart that the present invention links and calls, described step
S2 includes:
S21: timing renewal link characters, the title of the url in regular check link every day,
Most important key word (first) in title is revised as the link characters of url.
Url in link is the result of described step S14.
S22: when web page program call chain connection interface when, system will provide up-to-date json
The url of form and link characters list, for called side.
Embodiment four:
The system that a kind of site search engine based on statistical computation optimizes, for realizing based on system
The site search engine optimization method that meter calculates, including:
Automatically computing unit, for counting website traffic with carry out measure word, calculates Website page
Title and the information of description.
Link unit, for the title calculated is applied to the link text of url, is entering
During line search, the url that web page program meeting calling system automated provisioning is new, make user quickly search
Rope is to the webpage of demand.
The present embodiment completes the fast search to website by two unit, by url and
The acquisition of key word locks website, it is to avoid carried out website visiting statistics a large amount of points
Analysis.
Embodiment five:
Described automatic computing unit includes:
Data statistics subelement, it utilizes prize procedure to obtain the visit at the appointed time of network address url
Ask record and search engine reference record.
Write queue subelement, for being stored in url information and the search engine reference record of statistics
Write queue.
Database purchase subelement, it utilizes Cloning processes that the data in write queue are stored in first
Data base;And access the first data base respectively according to date, key word and url, it is thus achieved that every day,
Each url, the quantity of each key word, and it is stored in the second data base.
Automatically computation subunit, during user's search and webpage, system can be according to described second data base
In data calculate the title of desired page and profile information, page program is raw after calling calculating
The title become and profile information showing on the page.
In the present embodiment, described automatic computing unit statistics key word and url are also stored into data
Storehouse, automatically calculate the acquisition information such as title according to the information in data base, it is to avoid substantial amounts of point
The time waste that analysis causes, also ensure that the ranking of low discharge website simultaneously.
Embodiment six:
Described automatic computation subunit includes:
Frequency check module, is used for checking renewal frequency, reaches renewal frequency and imports algorithm locking
Detection module, if not up to renewal frequency, then imports the first information and stores module.
The first information stores module, for the title providing the last search and webpage page to be used
And profile information.
Algorithm lock-in detection module, is used for determining whether algorithm locks, if locking, imports second
Information stores module, if unlocked rule imports weight adjusting module.
Second information stores module, for the title providing the last search and webpage page to be used
And profile information.
Weight adjusting module, is used for adjusting weight, determines the weight of different search engine.
Word order module, is used for carrying out word sequence, according to the search engine weight calculated,
Calculate difference and search for the weight of used key word, and arrange from big to small, generate a key
Word list.
Seed words customized module, is used for carrying out seed words customization, captures more heterogeneous according to seed words
The word of association, expands word quantity.
Word correction verification module, is used for carrying out word verification, determines the word that must occur and must shield
The word covered.
Recommend word that module is set, be used for arranging recommendation word, to meet the needs of special operation demand.
Word quantity judge module, for grammatical term for the character quantity, if word lazy weight, then imports word
Candidate module;If word quantity is enough, then import length check module.
Word candidate module, is used for performing candidate rule program, when system reads word quantity not
Foot information time, system can automatically be invoked at artificial rule and arrange the candidate word set by the stage
Carry out the candidate of word quantity, after supplementing, import length check module.
Length check module, is used for carrying out length check, deletes the part of overlength, the master of verification
If title and the length of brief introduction.
Title generation module, is used for exporting json (javascript Object Notation) form
As a result, title and the profile information of the page are comprised.
In the present embodiment, described statistical computation subelement by weight arrange, word supplement and set
Putting the determination realizing key word, and then determine title and the brief introduction of the page, algorithm is simple and accurate
Really.
Embodiment seven:
Described link unit includes:
Automatically update subelement, for regularly updating link characters, in regular check link every day
The title of url, the most important key word (first) in title is revised as url's
Link characters.
Automatically supplying subelement, when web page program call chain connection interface when, system will provide
The url of up-to-date json form and link characters list, for called side.
The up-to-date title calculated and brief introduction are directly carried by the present embodiment by link unit
Supply called side uses, and corresponding speed is fast, it is to avoid the waiting as long for of user, and arranges website
Name plays vital effect.
Although the present invention being described in detail with reference to previous embodiment, for this area
For technical staff, the technical scheme described in foregoing embodiments still can be repaiied by it
Change, or wherein portion of techniques feature is carried out equivalent, all spirit in the present invention and former
Within then, any modification, equivalent substitution and improvement etc. made, should be included in the present invention's
Within protection domain.
Claims (10)
1. a site search engine optimization method based on statistical computation, it is characterised in that bag
Include:
S1: counting website traffic and carry out measure word, calculates title and the description information of Website page;
S2: the title calculated is applied on the link text of url, when scanning for,
The url that web page program meeting calling system automated provisioning is new, makes user's fast search arrive demand
Webpage.
2. site search engine optimization method based on statistical computation as claimed in claim 1,
It is characterized in that, described step S1 includes:
S11: utilize prize procedure to obtain network address url access record at the appointed time and search
Engine reference record;
S12: url information and the search engine reference record of statistics are stored in write queue;
S13: utilize Cloning processes that the data in write queue are stored in the first data base;And according to day
Phase, key word and url access the first data base respectively, it is thus achieved that every day, each url, each
The quantity of key word, and it is stored in the second data base;
S14: during user's search and webpage, system can calculate according to the data in described second data base
The title of desired page and profile information, page program can call the title and letter generated after calculating
Jie's information also shows on the page.
3. site search engine optimization method based on statistical computation as claimed in claim 2,
It is characterized in that, described prize procedure utilizes javascript (melon script) to be compiled
The capture ability of processing procedure sequence realizes.
4. site search engine optimization method based on statistical computation as claimed in claim 2,
It is characterized in that, described Cloning processes utilizes php (English supertext pretreatment language) institute
Clone's characteristic of programming realizes.
5. the site search engine based on statistical computation as described in any one of Claims 1-4
Optimization method, it is characterised in that described step S14 includes:
S140: check renewal frequency, reaches renewal frequency and performs step S142, if the most more
New frequency, then perform step S141;
S141: title and profile information that the last search and webpage page used are provided;
S142: determine whether algorithm locks, if locking, performs step S143, if non-locking
Then perform step S144;
The title of S143: display system last time searched page use and profile information;
S144: adjust weight, determines the weight of different search engine;
S145: carry out word sequence, according to the search engine weight calculated, calculates difference and searches
The weight of used key word held up in index, and arranges from big to small, generates a lists of keywords;
S146: carry out seed words customization, captures more words being associated according to seed words, expands
Fill word quantity;
S147: carry out word verification, determines the word that must occur and the word that must shield;
S148: arrange recommendation word, to meet the needs of special operation demand;
S149: grammatical term for the character quantity, if word lazy weight, then performs step S1410;If word number
Amount enough, then performs step S1411;
S1410: perform candidate rule program, when system reads the information of word lazy weight,
System can automatically be invoked at the candidate word that artificial rule arranges set by the stage and carry out word quantity
Candidate, supplement after perform step S1411;
S1411: carry out length check, deletes the part of overlength, mainly title and the letter of verification
The length being situated between;
S1412: the result of output json (javascript Object Notation) form, comprises page
The title in face and profile information.
6. site search engine optimization method based on statistical computation as claimed in claim 5,
It is characterized in that, described step S2 includes:
S21: timing renewal link characters, the title of the url in regular check link every day, will
Most important key word (first) in title is revised as the link characters of url;
S22: when web page program call chain connection interface when, system will provide up-to-date json
The url of form and link characters list, for called side.
7. one kind for realizing based on statistical computation as described in any one of claim 1 to 6
The system of site search engine optimization method, it is characterised in that including:
Automatically computing unit, for counting website traffic with carry out measure word, calculates Website page
Title and the information of description;
Link unit, for the title calculated is applied to the link text of url, is entering
During line search, the url that web page program meeting calling system automated provisioning is new, make user quickly search
Rope is to the webpage of demand.
8. site search engine based on statistical computation as claimed in claim 7 optimizes system,
It is characterized in that, described automatic computing unit includes:
Data statistics subelement, it utilizes prize procedure to obtain the visit at the appointed time of network address url
Ask record and search engine reference record;
Write queue subelement, for being stored in url information and the search engine reference record of statistics
Write queue;
Database purchase subelement, it utilizes Cloning processes that the data in write queue are stored in first
Data base;And access the first data base respectively according to date, key word and url, it is thus achieved that every day,
Each url, the quantity of each key word, and it is stored in the second data base;
Automatically computation subunit, during user's search and webpage, system can be according to described second data base
In data calculate the title of desired page and profile information, page program is raw after calling calculating
The title become and profile information showing on the page.
9. site search engine based on statistical computation as claimed in claim 8 optimizes system,
It is characterized in that, described automatic computation subunit includes:
Frequency check module, is used for checking renewal frequency, reaches renewal frequency and imports algorithm locking
Detection module, if not up to renewal frequency, then imports the first information and stores module;
The first information stores module, for the title providing the last search and webpage page to be used
And profile information;
Algorithm lock-in detection module, is used for determining whether algorithm locks, if locking, imports second
Information stores module, if unlocked rule imports weight adjusting module;
Second information store module, for display system last time searched page use title and
Profile information;
Weight adjusting module, is used for adjusting weight, determines the weight of different search engine;
Word order module, is used for carrying out word sequence, according to the search engine weight calculated,
Calculate difference and search for the weight of used key word, and arrange from big to small, generate a key
Word list;
Seed words customized module, is used for carrying out seed words customization, captures more heterogeneous according to seed words
The word of association, expands word quantity;
Word correction verification module, is used for carrying out word verification, determines the word that must occur and must shield
The word covered;
Recommend word that module is set, be used for arranging recommendation word, to meet the needs of special operation demand;
Word quantity judge module, for grammatical term for the character quantity, if word lazy weight, then imports word
Candidate module;If word quantity is enough, then import length check module;
Word candidate module, is used for performing candidate rule program, when system reads word quantity not
Foot information time, system can automatically be invoked at artificial rule and arrange the candidate word set by the stage
Carry out the candidate of word quantity, after supplementing, import length check module;
Length check module, is used for carrying out length check, deletes the part of overlength, the master of verification
If title and the length of brief introduction;
Title generation module, is used for exporting the knot of json (javascript Object Notation) form
Really, title and the profile information of the page are comprised.
10. as claimed in claim 9 site search of based on statistical computation engine optimization system
System, it is characterised in that described link unit includes:
Automatically update subelement, for regularly updating link characters, in regular check link every day
The title of url, the most important key word (first) in title is revised as url's
Link characters;
Automatically supplying subelement, when web page program call chain connection interface when, system will provide
The url of up-to-date json form and link characters list, for called side.
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106776983A (en) * | 2016-12-06 | 2017-05-31 | 深圳市小满科技有限公司 | Search engine optimization apparatus and method |
CN109471968A (en) * | 2018-11-02 | 2019-03-15 | 大连瀚闻资讯有限公司 | The statistic of trade applied to search engine optimization visualizes distributed post system |
CN111581482A (en) * | 2020-05-27 | 2020-08-25 | 北京伯乐互联科技发展有限公司 | Data sharing and analyzing method and system based on SEO data multi-dimensional association |
CN113835740A (en) * | 2021-11-29 | 2021-12-24 | 山东捷瑞数字科技股份有限公司 | Search engine optimization-oriented automatic front-end code repairing method |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101645155A (en) * | 2008-08-08 | 2010-02-10 | 陈列生 | Network marketing method |
CN102306201A (en) * | 2011-09-30 | 2012-01-04 | 邢飞 | Method and system for analyzing webpage title |
US20120166413A1 (en) * | 2010-12-24 | 2012-06-28 | Lebaron Matt | Automatic Generation of Tasks For Search Engine Optimization |
CN103793523A (en) * | 2014-02-20 | 2014-05-14 | 刘峰 | Automatic search engine construction method based on content similarity calculation |
CN104199830A (en) * | 2014-07-31 | 2014-12-10 | 渠成 | Search engine optimization big data management platform |
CN104239358A (en) * | 2013-06-21 | 2014-12-24 | 镇江新晔网络科技有限公司 | Search engine based website optimal construction method |
CN104951460A (en) * | 2014-03-27 | 2015-09-30 | 阿里巴巴集团控股有限公司 | Ranking parameter value determination method and device based on keyword clustering |
-
2016
- 2016-04-19 CN CN201610246899.4A patent/CN105930442B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101645155A (en) * | 2008-08-08 | 2010-02-10 | 陈列生 | Network marketing method |
US20120166413A1 (en) * | 2010-12-24 | 2012-06-28 | Lebaron Matt | Automatic Generation of Tasks For Search Engine Optimization |
CN102306201A (en) * | 2011-09-30 | 2012-01-04 | 邢飞 | Method and system for analyzing webpage title |
CN104239358A (en) * | 2013-06-21 | 2014-12-24 | 镇江新晔网络科技有限公司 | Search engine based website optimal construction method |
CN103793523A (en) * | 2014-02-20 | 2014-05-14 | 刘峰 | Automatic search engine construction method based on content similarity calculation |
CN104951460A (en) * | 2014-03-27 | 2015-09-30 | 阿里巴巴集团控股有限公司 | Ranking parameter value determination method and device based on keyword clustering |
CN104199830A (en) * | 2014-07-31 | 2014-12-10 | 渠成 | Search engine optimization big data management platform |
Non-Patent Citations (1)
Title |
---|
喻颖 等: "面向人才招聘的搜索引擎优化技术研究", 《计算机技术与发展》 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106776983A (en) * | 2016-12-06 | 2017-05-31 | 深圳市小满科技有限公司 | Search engine optimization apparatus and method |
CN109471968A (en) * | 2018-11-02 | 2019-03-15 | 大连瀚闻资讯有限公司 | The statistic of trade applied to search engine optimization visualizes distributed post system |
CN111581482A (en) * | 2020-05-27 | 2020-08-25 | 北京伯乐互联科技发展有限公司 | Data sharing and analyzing method and system based on SEO data multi-dimensional association |
CN111581482B (en) * | 2020-05-27 | 2023-05-16 | 北京伯乐互联科技发展有限公司 | Data sharing and analyzing method and system based on SEO data multidimensional association |
CN113835740A (en) * | 2021-11-29 | 2021-12-24 | 山东捷瑞数字科技股份有限公司 | Search engine optimization-oriented automatic front-end code repairing method |
CN113835740B (en) * | 2021-11-29 | 2022-02-22 | 山东捷瑞数字科技股份有限公司 | Search engine optimization-oriented automatic front-end code repairing method |
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