CN104778208A - Method and system for optimally grasping search engine SEO (search engine optimization) website data - Google Patents
Method and system for optimally grasping search engine SEO (search engine optimization) website data Download PDFInfo
- Publication number
- CN104778208A CN104778208A CN201510106543.6A CN201510106543A CN104778208A CN 104778208 A CN104778208 A CN 104778208A CN 201510106543 A CN201510106543 A CN 201510106543A CN 104778208 A CN104778208 A CN 104778208A
- Authority
- CN
- China
- Prior art keywords
- data
- keyword
- user
- search
- seo
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Abstract
The invention relates to a method and a system for optimally grasping search engine SEO (search engine optimization) website data. The method comprises the following steps: receiving a keyword input by a user, expanding the keyword and obtaining a plurality of long tail keywords; carrying out accurate search according to the long tail keywords and grasping relevant big data; carrying out SEO natural ranking on the obtained relevant big data and sending ranking data and the relevant big data contents to an engine server; carrying out, by the engine server, big data filtration on the relevant big data contents and classifying the filtered data and storing; forming a visible chart for showing according to the classified and stored data. According to the method and the system disclosed by the invention, the input keyword is expanded according to a searching habit of the user and the big data are grasped according to the expanded long tail keywords, so that a phenomenon of data missing is overcome; and the grasped data are classified and are stored to generate the visible chart for showing, thus providing accurate searching experience for the user while providing direct and clear result show for the user.
Description
Technical field
The present invention relates to the large data analysis in internet, mechanics of communication and field of computer technology, particularly relate to a kind of optimal grasp method and system of search engine SEO website data.
Background technology
Search engine is the necessary function provided for " user uses the convenience of website ", is also " effective tool of research website data analysis " simultaneously.Efficient Spider retrieval finds practical information with can allowing user's fast accurate with extension, thus more effectively improves the analysis ability of user, and by the depth analysis to website caller search behavior, has important value to resolution things essence.Environmental development in view of search engine marketing is that the promotion of network marketing is played very important effect and marketed from effect, why a lot of company can application network marketing be make use of search engine marketing just complete type ecommerce concept ingredient, network marketing is wherein most important ingredient, is the important step to terminal client transmission of information.
But, there is shortage of data phenomenon in current data grabber process, especially when some data does not exist on webpage, but on micro-letter or microblogging, then can not be crawled, and then data search accompanying drawing accurately can not be provided for user, and prior art can not provide the network data of user's needs accurately according to the search custom of user, and representing of Search Results is more single, and not directly perceived.
Summary of the invention
Technical matters to be solved by this invention is for the deficiencies in the prior art, provides a kind of optimal grasp method and system of search engine SEO website data.
The technical scheme that the present invention solves the problems of the technologies described above is as follows: a kind of optimal grasp method of search engine SEO website data, comprises the steps:
Step 1, receives the keyword of user's input, expands, obtain multiple long-tail keyword to keyword;
Step 2, precisely searches for according to long-tail keyword, captures relevant large data;
The relevant large data obtained are carried out SEO nature rank by step 3, and precedence data and relevant large data content are sent to engine server;
Step 4, described engine server carries out large data filtering to described relevant large data content, is stored by the Data classification after filtering;
Step 5, shows according to the data formation Visual Chart that described classification stores.
The invention has the beneficial effects as follows: the keyword of search custom to input according to user in the application is expanded, for user provides the search data needed most, long-tail keyword according to expanding captures large data, not only comprise website data, also comprise the data such as micro-letter microblogging, overcome shortage of data phenomenon, and classification storage is carried out to the data captured, generate Visual Chart to show, while user provides accurate search experience, for user provides simple and clear result presentation.
On the basis of technique scheme, the present invention can also do following improvement.
Further, technique scheme also comprises provides honeycomb to search for, and is implemented as follows:
When user clicks honeycomb search link, enter honeycomb search interface, carry out the analysis of JS honeycomb, generate analysis report according to keyword.
Further, carry out the analysis of JS honeycomb, generate being implemented as of analysis report according to keyword: Visual Chart is become lteral data according to the transferring frame of analysis report, generate analysis report.
Adopt the beneficial effect of above-mentioned further scheme: in honeycomb, form visual Comparison and analysis, form data report according to visual Comparison and analysis, for user provides various display form, meet the various demands of user.
Further, being implemented as of step 1: the keyword receiving user's input, the Visitor Logs cookie of inquiring user, the search custom of user is analyzed according to the Visitor Logs cookie of user, habit of searching according to user is used to expand the keyword of user's input, obtains corresponding multiple long-tail keyword.
Further, large data described in step 2 comprise news, ask, encyclopaedia, micro-letter, microblogging, forum, one or more data in mhkc and library.
Another technical scheme that the present invention solves the problems of the technologies described above is as follows: a kind of optimal grasp system of search engine SEO website data, comprises keyword and expands module, website handling module, the first data processing module, the second data processing module, data memory module and visualization model;
Module expanded in described keyword, and it, for receiving the keyword of user's input, is expanded keyword, obtain multiple long-tail keyword;
Described website handling module, it is for precisely searching for according to long-tail keyword, captures relevant large data;
The relevant large data obtained are carried out SEO nature rank by described first data processing module, and precedence data and relevant large data content are sent to the second data processing module;
Second data processing module, it is for carrying out large data filtering to described relevant large data content;
Described data memory module, please be used for the Data classification after by filtration and store;
Described visualization model, it forms Visual Chart for the data stored according to described classification and shows.
On the basis of technique scheme, the present invention can also do following improvement.
Further, technique scheme also comprises honeycomb search module, and it, for clicking honeycomb search link as user, enters honeycomb search interface, carry out the analysis of JS honeycomb, generate analysis report according to keyword.
Further, Visual Chart is become lteral data according to the transferring frame of analysis report by described honeycomb search module, generates analysis report.
Further, described keyword expansion module comprises receiving element, query unit, analytic unit and expansion unit;
Described receiving element, it is for receiving the keyword of user's input;
Described query unit, it is for the Visitor Logs cookie of inquiring user;
Described analytic unit, it is for analyzing the search custom of user according to the Visitor Logs cookie of user;
Described expansion unit, it is used to expand the keyword of user's input for the habit of searching according to user, obtains corresponding multiple long-tail keyword.
Further, described large data comprise news, ask, encyclopaedia, micro-letter, microblogging, forum, one or more data in mhkc and library.
Accompanying drawing explanation
Fig. 1 is the optimal grasp method flow diagram of a kind of search engine SEO website data of the present invention;
Fig. 2 is block diagram described in the embodiment of the present invention 1;
Fig. 3 is block diagram shown in the embodiment of the present invention 2.
In accompanying drawing, the list of parts representated by each label is as follows:
1, module expanded in keyword, and 2, website handling module, the 3, first data processing module, the 4, second data processing module, 5, data memory module, 6, visualization model, 7, honeycomb search module.
Embodiment
Be described principle of the present invention and feature below in conjunction with accompanying drawing, example, only for explaining the present invention, is not intended to limit scope of the present invention.
As shown in Figure 1, a kind of optimal grasp method of search engine SEO website data, comprises the steps:
Step 1, receives the keyword of user's input, expands, obtain multiple long-tail keyword to keyword;
Step 2, precisely searches for according to long-tail keyword, captures relevant large data;
The relevant large data obtained are carried out SEO nature rank by step 3, and precedence data and relevant large data content are sent to engine server;
Step 4, described engine server carries out large data filtering to described relevant large data content, is stored by the Data classification after filtering;
Step 5, shows according to the data formation Visual Chart that described classification stores.
Technique scheme also comprises provides honeycomb to search for, and is implemented as follows:
When user clicks honeycomb search link, enter honeycomb search interface, carry out the analysis of JS honeycomb, generate analysis report according to keyword.Carry out the analysis of JS honeycomb, generate being implemented as of analysis report according to keyword: Visual Chart is become lteral data according to the transferring frame of analysis report, generate analysis report.In honeycomb, form visual Comparison and analysis, form data report according to visual Comparison and analysis, for user provides various display form, meet the various demands of user.
Being implemented as of step 1: the keyword receiving user's input, the Visitor Logs cookie of inquiring user, analyze the search custom of user according to the Visitor Logs cookie of user, the habit of searching according to user is used to expand the keyword of user's input, obtains corresponding multiple long-tail keyword.
Large data described in step 2 comprise news, ask, encyclopaedia, micro-letter, microblogging, forum, one or more data in mhkc and library.
As shown in Figure 2, the embodiment of the present invention 1, an optimal grasp system for search engine SEO website data, comprises keyword and expands module 1, website handling module 2, first data processing module 3, second data processing module 4, data memory module 5 and visualization model 6; Module 1 expanded in described keyword, and it, for receiving the keyword of user's input, is expanded keyword, obtain multiple long-tail keyword; Described website handling module 2, it is for precisely searching for according to long-tail keyword, captures relevant large data; The relevant large data obtained are carried out SEO nature rank by described first data processing module 3, and precedence data and relevant large data content are sent to the second data processing module 4; Second data processing module 4, it is for carrying out large data filtering to described relevant large data content; Described data memory module 5, please be used for the Data classification after by filtration and store; Described visualization model 6, it forms Visual Chart for the data stored according to described classification and shows.
The embodiment of the present invention 2 is on the basis of embodiment 1, also comprises honeycomb search module 7, and it, for clicking honeycomb search link as user, enters honeycomb search interface, carry out the analysis of JS honeycomb, generate analysis report according to keyword.Visual Chart is become lteral data according to the transferring frame of analysis report by described honeycomb search module, generates analysis report.
Described keyword is expanded module 1 and is comprised receiving element 11, query unit 12, analytic unit 13 and expand unit 14; Described receiving element 11, it is for receiving the keyword of user's input; Described query unit 12, it is for the Visitor Logs cookie of inquiring user; Described analytic unit 13, it is for analyzing the search custom of user according to the Visitor Logs cookie of user; Described expansion unit 14, it is used to expand the keyword of user's input for the habit of searching according to user, obtains corresponding multiple long-tail keyword.Described large data comprise news, ask, encyclopaedia, micro-letter, microblogging, forum, one or more data in mhkc and library.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. an optimal grasp method for search engine SEO website data, is characterized in that, comprise the steps:
Step 1, receives the keyword of user's input, expands, obtain multiple long-tail keyword to keyword;
Step 2, precisely searches for according to long-tail keyword, captures relevant large data;
The relevant large data obtained are carried out SEO nature rank by step 3, and precedence data and relevant large data content are sent to engine server;
Step 4, described engine server carries out large data filtering to described relevant large data content, is stored by the Data classification after filtering;
Step 5, shows according to the data formation Visual Chart that described classification stores.
2. the optimal grasp method of a kind of search engine SEO website data according to claim 1, is characterized in that, also comprise and provide honeycomb to search for, be implemented as follows:
When user clicks honeycomb search link, enter honeycomb search interface, carry out the analysis of JS honeycomb, generate analysis report according to keyword.
3. the optimal grasp method of a kind of search engine SEO website data according to claim 2, it is characterized in that, carry out the analysis of JS honeycomb, generate being implemented as of analysis report according to keyword: Visual Chart is become lteral data according to the transferring frame of analysis report, generate analysis report.
4. the optimal grasp method of a kind of search engine SEO website data according to claim 1, it is characterized in that, being implemented as of step 1: the keyword receiving user's input, the Visitor Logs cookie of inquiring user, the search custom of user is analyzed according to the Visitor Logs cookie of user, habit of searching according to user is used to expand the keyword of user's input, obtains corresponding multiple long-tail keyword.
5. the optimal grasp method of a kind of search engine SEO website data according to claim 1, is characterized in that, large data described in step 2 comprise news, ask, encyclopaedia, micro-letter, microblogging, forum, one or more data in mhkc and library.
6. an optimal grasp system for search engine SEO website data, is characterized in that, comprises keyword and expands module, website handling module, the first data processing module, the second data processing module, data memory module and visualization model;
Module expanded in described keyword, and it, for receiving the keyword of user's input, is expanded keyword, obtain multiple long-tail keyword;
Described website handling module, it is for precisely searching for according to long-tail keyword, captures relevant large data;
The relevant large data obtained are carried out SEO nature rank by described first data processing module, and precedence data and relevant large data content are sent to the second data processing module;
Second data processing module, it is for carrying out large data filtering to described relevant large data content;
Described data memory module, please be used for the Data classification after by filtration and store;
Described visualization model, it forms Visual Chart for the data stored according to described classification and shows.
7. the optimal grasp system of a kind of search engine SEO website data according to claim 6, is characterized in that, also comprise honeycomb search module, it is for clicking honeycomb search link as user, enter honeycomb search interface, carry out the analysis of JS honeycomb, generate analysis report according to keyword.
8. the optimal grasp system of a kind of search engine SEO website data according to claim 7, it is characterized in that, Visual Chart is become lteral data according to the transferring frame of analysis report by described honeycomb search module, generates analysis report.
9. the optimal grasp system of a kind of search engine SEO website data according to claim 6, is characterized in that, described keyword is expanded module and comprised receiving element, query unit, analytic unit and expansion unit;
Described receiving element, it is for receiving the keyword of user's input;
Described query unit, it is for the Visitor Logs cookie of inquiring user;
Described analytic unit, it is for analyzing the search custom of user according to the Visitor Logs cook i e of user;
Described expansion unit, it is used to expand the keyword of user's input for the habit of searching according to user, obtains corresponding multiple long-tail keyword.
10. the optimal grasp system of a kind of search engine SEO website data according to claim 6, is characterized in that, described large data comprise news, ask, encyclopaedia, micro-letter, microblogging, forum, one or more data in mhkc and library.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510106543.6A CN104778208A (en) | 2015-03-11 | 2015-03-11 | Method and system for optimally grasping search engine SEO (search engine optimization) website data |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510106543.6A CN104778208A (en) | 2015-03-11 | 2015-03-11 | Method and system for optimally grasping search engine SEO (search engine optimization) website data |
Publications (1)
Publication Number | Publication Date |
---|---|
CN104778208A true CN104778208A (en) | 2015-07-15 |
Family
ID=53619672
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510106543.6A Pending CN104778208A (en) | 2015-03-11 | 2015-03-11 | Method and system for optimally grasping search engine SEO (search engine optimization) website data |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104778208A (en) |
Cited By (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105447113A (en) * | 2015-11-13 | 2016-03-30 | 四川九成信息技术有限公司 | Big data based informatiion analysis method |
CN105528728A (en) * | 2015-12-09 | 2016-04-27 | 江苏易销电子商务有限公司 | Mall e-commerce service platform based on cloud computing and method thereof |
CN106446253A (en) * | 2016-10-13 | 2017-02-22 | 中国农业大学 | Pesticide information database construction method and device |
CN108647342A (en) * | 2018-05-14 | 2018-10-12 | 佛山市真觉网络科技有限公司 | A method of the spider crawl of optimization Baidu |
CN108647341A (en) * | 2018-05-14 | 2018-10-12 | 佛山市真觉网络科技有限公司 | A method of improving search engine ranking |
CN108710706A (en) * | 2018-05-28 | 2018-10-26 | 江苏中安环能新能源科技有限公司 | A kind of searching method, system and device |
CN108733794A (en) * | 2018-05-14 | 2018-11-02 | 佛山市真觉网络科技有限公司 | A kind of manual search engine optimization method based on keyword editor |
CN109961317A (en) * | 2019-02-20 | 2019-07-02 | 江苏瑞祥科技集团有限公司 | A kind of integrated marketing management system expanded for client |
CN110188957A (en) * | 2019-06-03 | 2019-08-30 | 南京微尚信息技术有限公司 | Website intelligent optimization extension system |
CN112861046A (en) * | 2021-02-24 | 2021-05-28 | 杭州志卓科技股份有限公司 | SEO website, method, system, terminal and medium for optimizing search engine |
CN112860754A (en) * | 2021-03-11 | 2021-05-28 | 恒基文化实业(深圳)有限公司 | Data processing method for screening corresponding users based on big data |
CN113010636A (en) * | 2021-02-23 | 2021-06-22 | 玉米社(深圳)网络科技有限公司 | Method for rapidly detecting ranking of all keywords of website |
CN113032657A (en) * | 2021-04-28 | 2021-06-25 | 玉米社(深圳)网络科技有限公司 | Method for quickly selecting core market in enterprise promotion |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20060074843A1 (en) * | 2004-09-30 | 2006-04-06 | Pereira Luis C | World wide web directory for providing live links |
CN101441645A (en) * | 2007-11-23 | 2009-05-27 | 财团法人工业技术研究院 | System and method of technical data analysis |
CN102033955A (en) * | 2010-12-24 | 2011-04-27 | 常华 | Method for expanding user search results and server |
CN102200996A (en) * | 2010-03-25 | 2011-09-28 | 微软公司 | Parsing and indexing dynamic reports |
CN104035966A (en) * | 2014-05-16 | 2014-09-10 | 百度在线网络技术(北京)有限公司 | Method and device for providing extended search terms |
-
2015
- 2015-03-11 CN CN201510106543.6A patent/CN104778208A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20060074843A1 (en) * | 2004-09-30 | 2006-04-06 | Pereira Luis C | World wide web directory for providing live links |
CN101441645A (en) * | 2007-11-23 | 2009-05-27 | 财团法人工业技术研究院 | System and method of technical data analysis |
CN102200996A (en) * | 2010-03-25 | 2011-09-28 | 微软公司 | Parsing and indexing dynamic reports |
CN102033955A (en) * | 2010-12-24 | 2011-04-27 | 常华 | Method for expanding user search results and server |
CN104035966A (en) * | 2014-05-16 | 2014-09-10 | 百度在线网络技术(北京)有限公司 | Method and device for providing extended search terms |
Cited By (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105447113B (en) * | 2015-11-13 | 2018-09-28 | 深圳市远方创新数据咨询有限公司 | A kind of information analysis method based on big data |
CN105447113A (en) * | 2015-11-13 | 2016-03-30 | 四川九成信息技术有限公司 | Big data based informatiion analysis method |
CN105528728A (en) * | 2015-12-09 | 2016-04-27 | 江苏易销电子商务有限公司 | Mall e-commerce service platform based on cloud computing and method thereof |
CN106446253A (en) * | 2016-10-13 | 2017-02-22 | 中国农业大学 | Pesticide information database construction method and device |
CN108733794A (en) * | 2018-05-14 | 2018-11-02 | 佛山市真觉网络科技有限公司 | A kind of manual search engine optimization method based on keyword editor |
CN108647342A (en) * | 2018-05-14 | 2018-10-12 | 佛山市真觉网络科技有限公司 | A method of the spider crawl of optimization Baidu |
CN108647341A (en) * | 2018-05-14 | 2018-10-12 | 佛山市真觉网络科技有限公司 | A method of improving search engine ranking |
CN108710706A (en) * | 2018-05-28 | 2018-10-26 | 江苏中安环能新能源科技有限公司 | A kind of searching method, system and device |
CN109961317A (en) * | 2019-02-20 | 2019-07-02 | 江苏瑞祥科技集团有限公司 | A kind of integrated marketing management system expanded for client |
CN110188957A (en) * | 2019-06-03 | 2019-08-30 | 南京微尚信息技术有限公司 | Website intelligent optimization extension system |
CN113010636A (en) * | 2021-02-23 | 2021-06-22 | 玉米社(深圳)网络科技有限公司 | Method for rapidly detecting ranking of all keywords of website |
CN112861046A (en) * | 2021-02-24 | 2021-05-28 | 杭州志卓科技股份有限公司 | SEO website, method, system, terminal and medium for optimizing search engine |
CN112860754A (en) * | 2021-03-11 | 2021-05-28 | 恒基文化实业(深圳)有限公司 | Data processing method for screening corresponding users based on big data |
CN113032657A (en) * | 2021-04-28 | 2021-06-25 | 玉米社(深圳)网络科技有限公司 | Method for quickly selecting core market in enterprise promotion |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104778208A (en) | Method and system for optimally grasping search engine SEO (search engine optimization) website data | |
CN109033387B (en) | Internet of things searching system and method fusing multi-source data and storage medium | |
CN107273409B (en) | Network data acquisition, storage and processing method and system | |
CN102693271B (en) | A kind of network information recommending method and system | |
CN101908071B (en) | Method and device thereof for improving search efficiency of search engine | |
CN104699704B (en) | Content pushing and receiving method, device and system | |
CN102567494B (en) | Website classification method and device | |
CN104850546B (en) | Display method and system of mobile media information | |
WO2014180130A1 (en) | Method and system for recommending contents | |
CN104077377A (en) | Method and device for finding network public opinion hotspots based on network article attributes | |
CN103577489A (en) | Method and device of searching web browsing history | |
CN103617266A (en) | Personalized extension search method, device and system | |
WO2013106595A2 (en) | Processing store visiting data | |
CN103744856A (en) | Method, device and system for linkage extended search | |
Nikhil et al. | A survey on text mining and sentiment analysis for unstructured web data | |
CN103186666A (en) | Method, device and equipment for searching based on favorites | |
CN104615627A (en) | Event public sentiment information extracting method and system based on micro-blog platform | |
CN103559258A (en) | Webpage ranking method based on cloud computation | |
CN108959580A (en) | A kind of optimization method and system of label data | |
CN105302807A (en) | Method and apparatus for obtaining information category | |
CN103399855B (en) | Behavior intention determining method and device based on multiple data sources | |
CN103745006A (en) | Internet information searching system and internet information searching method | |
CN102955802A (en) | Method and device for acquiring data from data reports | |
CN107330076B (en) | Network public opinion information display system and method | |
CN106874509B (en) | Resource recommendation method and device based on medium-granularity user grouping |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
EXSB | Decision made by sipo to initiate substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WD01 | Invention patent application deemed withdrawn after publication | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20150715 |