CN110472135B - Monitoring method and device for improving website ranking - Google Patents

Monitoring method and device for improving website ranking Download PDF

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Publication number
CN110472135B
CN110472135B CN201910579256.5A CN201910579256A CN110472135B CN 110472135 B CN110472135 B CN 110472135B CN 201910579256 A CN201910579256 A CN 201910579256A CN 110472135 B CN110472135 B CN 110472135B
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keyword
ranking
search engine
determining
website
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CN110472135A (en
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王兆海
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Shandong Chuangqi Cloud Computing Co ltd
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Shandong Chuangqi Cloud Computing Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/957Browsing optimisation, e.g. caching or content distillation
    • G06F16/9574Browsing optimisation, e.g. caching or content distillation of access to content, e.g. by caching

Abstract

The application discloses a monitoring method and device for improving website ranking. Determining keywords to be optimized based on input or selection of a user; determining cost data corresponding to the keyword based on a search engine determined by a user and a plurality of characteristics of the keyword in the search engine determined by the user, wherein the plurality of characteristics at least comprise any one of the following items: the method comprises the steps of searching keywords in a search engine to obtain the number of search results, the number of website home pages of the search results in a search engine home page, and character attributes corresponding to the keywords; the text attribute is related to the content of the keyword or the length of the keyword; and determining the ranking of the optimized website in a search engine, and displaying the ranking and the change data of the ranking through a terminal corresponding to a user. By displaying the optimized website ranking, a user can know the optimized website ranking effect in a transparent way, and the user experience is improved.

Description

Monitoring method and device for improving website ranking
Technical Field
The application relates to the technical field of computers, in particular to a monitoring method and device for improving website ranking.
Background
With the popularization of the internet, people increasingly acquire information from the network. Users typically retrieve information from a network through a search engine (e.g., a hundred degree search engine, a 360 degree search engine, etc.). The search engine can collect information from the network, integrate the information and display the information to the user in a certain mode for the user to browse. When a search engine presents search results to a user, the search results are usually ranked and presented according to a specific ranking algorithm. Because a user usually browses only the top-ranked partial search results when browsing the search results, the website content is optimized, so that the website can obtain the top-ranked ranking under the ranking algorithm of a search engine, and the method is very important for improving the website access amount and promoting the website publicity effect.
Currently, search engine optimization mostly optimizes websites by keyword. When optimizing website content and promoting website ranking, a user does not know the specific ranking change of website optimization, and the payment mode is irrelevant to the final ranking promoting result and is only relevant to the purchased keywords and the time required for optimization, which brings bad experience to the user.
Disclosure of Invention
The embodiment of the application provides a monitoring method and device for improving website ranking, and aims to solve the problem that a user experiences badly in the process of improving the website ranking.
The monitoring method for improving the website ranking provided by the embodiment of the application comprises the following steps:
determining keywords to be optimized based on input or selection of a user;
determining cost data corresponding to the keywords based on a search engine determined by a user and a plurality of characteristics of the keywords to be optimized in the search engine determined by the user, wherein the plurality of characteristics at least comprise any one of the following items: the number of search results obtained by searching the keywords in a search engine, the number of website home pages of the search results in a home page of the search engine, and character attributes corresponding to the keywords; the text attribute is related to the content of the keyword or the length of the keyword;
and determining the ranking of the optimized website in the search engine, and displaying the ranking and the change data of the ranking through a terminal corresponding to the user.
The monitoring device for improving website ranking provided by the embodiment of the application comprises:
The first determining module is used for determining keywords to be optimized based on input or selection of a user;
the second determining module is used for determining the cost data corresponding to the keyword based on a search engine determined by a user and a plurality of characteristics of the keyword to be optimized in the search engine determined by the user, wherein the characteristics at least comprise any one of the following items: the number of search results obtained by searching the keywords in a search engine, the number of website home pages of the search results in a home page of the search engine, and character attributes corresponding to the keywords; the text attribute is related to the content of the keyword or the length of the keyword;
and the display module is used for determining the ranking of the optimized website in the search engine and displaying the ranking and the change data of the ranking through a terminal corresponding to the user.
The embodiment of the application provides a monitoring method and a monitoring device for improving website ranking, and cost data corresponding to a keyword is determined according to the keyword determined by a user, a search engine and a plurality of characteristics of the keyword in the search engine. And sending the optimized ranking of the website and the data with changed ranking to a terminal corresponding to the user for displaying. After determining the keywords and the search engine for optimizing the website, the user can monitor the ranking of the website and the change of the ranking through the terminal after the website optimization is completed, and the actual effect of the website optimization is determined, so that the user can further know the result of the website optimization, and the user experience can be improved.
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The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a flowchart of a monitoring method for promoting website ranking according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a monitoring device for enhancing website ranking according to an embodiment of the present disclosure.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, the technical solutions of the present application will be clearly and completely described below with reference to specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Fig. 1 is a flowchart of a monitoring method for promoting website ranking provided in an embodiment of the present application, which specifically includes the following steps:
s101: and determining the keywords to be optimized based on the input or selection of the user.
In the embodiment of the application, a user can input keywords to be optimized through a terminal, or select the keywords to be optimized from related keywords recommended by the terminal, the terminal sends the keywords to be optimized determined by the user to a server, and the server determines cost data for promoting website ranking corresponding to the keywords. The terminal may be a mobile phone, a computer, or the like, which is not limited in this embodiment of the application.
S102: determining cost data corresponding to the keywords based on a search engine determined by a user and a plurality of characteristics of the keywords to be optimized in the search engine determined by the user.
The amount of data that is included varies due to the different ranking algorithms of the different search engines. Therefore, when website optimization is performed on different search engines, specific optimization contents and optimization difficulties are different. Therefore, for the keyword to be optimized, the server can determine the characteristics of the keyword to be optimized in the search engine according to the search engine determined by the user, so as to determine the cost data corresponding to website optimization according to the keyword. The features of the keywords corresponding to the search engine represent the factors related to the keywords related to the website optimization, different search engines may correspond to different multiple features, and different features of the keywords corresponding to different search engines may be set as needed, which is not limited in the embodiment of the present application.
In the embodiment of the present application, the feature of the keyword may include at least any one of the following: the number of search results obtained by searching the keyword in a search engine, the number of website home pages of the search results in the home page of the search engine, and the character attribute corresponding to the keyword. Specifically, the number of search results obtained by searching the keyword in the search engine represents the total number of all search results retrieved by the search engine according to the keyword. The number of website top pages of the search results in the top page of the search engine represents the number of website top pages included in the top page when the search engine paginates the search results in ranking order (e.g., one page includes 10 search results). The website rank is improved for the purpose of optimizing the website by the user, so that the website of the user can be displayed in the first page of the search result of the search engine, and other websites in the first page are the competitive power of optimizing the website by the user, so that the website in the first page of the search result should be the first page of the website and does not include advertisements, papers, terms, news and the like. The text attribute corresponding to the keyword may include any one or more of the length of the keyword, the fixed language number of the keyword, and the search index of the keyword. The length of a keyword refers to the number of characters in the keyword, the characters including words, letters, symbols, and the like, the phrase number of the keyword represents the number of words in the keyword for modifying a subject, and the search index of the keyword represents the degree of attention of all users in the internet to the keyword in a search engine. When determining the search index of the keyword, the server may obtain, according to a search engine determined by a user, a record (e.g., query times) for querying the keyword through the search engine within a preset time, and determine the search index of the keyword in the search engine according to the record, where the preset time may be set as needed, and the present application does not limit this.
After determining a plurality of characteristics corresponding to the keyword according to the search engine determined by the user, the server can determine the characteristic value of each characteristic corresponding to the keyword, determine the charging index of the keyword according to each characteristic value of the keyword and the coefficient of each preset characteristic, and determine the charge data corresponding to the keyword according to the determined charging index and the preset charging base number of the search engine.
Specifically, the feature value of each feature corresponding to the keyword represents a numerical value of each feature corresponding to the keyword. These feature values can generally reflect the difficulty level of website optimization according to the keywords, and therefore, the server can use these feature values as reference factors for determining the cost data corresponding to the keywords. For example, the more search results obtained by searching for the keyword in the search engine, the more competitors representing the website optimization, the greater the difficulty that the website of the user wants to arrange on the top page among a plurality of search results, that is, the greater the difficulty of performing the website optimization, the higher the cost of the keyword; the longer the length of the keyword is, the more general screening conditions are, the smaller the screening range is, and the simpler the website of the user is to rank at the front in a small range, that is, the less difficulty in optimizing the website is, the lower the cost of the keyword is.
However, because the different characteristics of the keyword determine different criteria of the fee of the keyword, in order to integrate the charging criteria of the multiple characteristics of the keyword, the server may determine the charging index of the keyword according to the preset coefficient of each characteristic, so as to determine the fee of the keyword. The weight of each feature, namely the influence degree of each feature on website optimization, can be determined according to the coefficient of each feature and the feature value of each feature, and the charging index is obtained by weighting each feature and represents the total measuring standard for calculating the keyword cost. The charging index and the fee of the keyword have positive correlation, namely the larger the charging index is, the higher the fee is, the smaller the charging index is, the lower the fee is.
Specifically, the charging index is obtained by: according to the formula Q ═ a x1+b*x2+c*x3And d, determining the charging index of the keyword. Wherein Q is a billing index, x1The number of search results, x, obtained for searching the keyword in a search engine2The number of the website home pages, x, in the home page of the search engine for the search result3A, b and c are preset coefficients corresponding to each feature of the keyword, and then a x 1、b*x2、c*x3And d is a preset basic index for balancing the value range of Q.
The above formula represents only three features of the keyword, but is not limited to three features, and the server may determine the features of the keyword and adjust the formula accordingly according to the number of features1+b*x2+……+n*xn+ d, applicable to the calculation of n features.
Due to the different orders of magnitude of the feature values of several features of the keyword, for example, the number of search results obtained by searching the keyword in a search engine is usually above 10,000, even up to 100,000,000, and the length of the keyword is usually between 0 and 10. Therefore, the coefficient of each feature is set according to the feature value of each feature, and the purpose of the coefficient is to enable each feature value to show the weight of each feature (that is, the influence degree of each feature on website optimization, that is, the importance degree of the cost for the keyword) under the action of the corresponding coefficient, so that each coefficient can be set as needed, and the embodiment of the present application does not limit this.
After the charging index of the keyword is determined, the server can determine the cost data of the optimized website corresponding to the keyword according to a preset charging base number and the charging index. Specifically, the fee data may be obtained by calculating a formula P ═ P × Q, where P is the fee data of the keyword, P is the charging base number of the keyword, and represents the basic charging of the keyword in a preset charging period, and Q is the charging index of the keyword. Because the difficulty of website ranking optimization for different search engines is different, different search engines can correspond to different charging bases, and the charging base p can be set according to different search engines. For example, if the search engine to be optimized is search engine 1, p is 10, and if the search engine to be optimized is search engine 2, p is 8.
In addition, since the difficulty of optimizing the website is often reduced when the keyword includes a word representing a region (e.g., beijing), after determining the cost data of the keyword, the server may match the keyword with a plurality of pre-stored words representing regions to determine whether the word representing the region exists in the keyword. The database is pre-stored with a plurality of words representing regions, and region levels and level factors which are stored corresponding to the words. If the keyword has a word representing a region matched with the keyword, determining a level factor corresponding to the region level according to a preset level of the region to determine cost data of optimizing website ranking corresponding to the keyword. For example, if the keyword includes a "sunny region," the server may determine, according to a level corresponding to the "sunny region," that a level factor corresponding to the level is 80%, so as to determine that the cost data of the keyword is 80% of P determined by the above formula. The regional level can be divided according to the levels of countries, provinces (direct prefecture cities), cities, counties (regions), villages and the like, and can also be divided according to other modes, level factors corresponding to the regional levels can also be set according to needs, and the regional level division method is not limited in the application.
S103: and determining the ranking of the optimized website in the search engine, and displaying the ranking and the variation data of the ranking through a terminal corresponding to the user.
After optimizing the website of the user, the server can determine the ranking of the optimized website in a search engine determined by the user, and send the ranking and the variation data of the ranking to a terminal corresponding to the user for displaying. The server can determine the ranking of the websites according to the preset time interval. For example, once per day, or once every 12 hours, and so on. The display form of the ranking change data of the website can be a line graph or a bar graph and the like.
In the embodiment of the application, through the display of the optimized ranking and the change of the ranking of the website, a user can master the specific situation of the optimized ranking of the website at any time and know the actual effect of the optimization of the website so as to determine the result of improving the ranking of the website, and the user experience is favorably improved.
In addition, in the ranking algorithm of each search engine, when ranking the search results, historical search data of different Internet Protocol addresses (IP addresses) are usually considered, so as to recommend content meeting the needs and preferences of the user according to the historical search data of different IP addresses. Therefore, the results of searching through different IP addresses may not be identical for the same search engine and search keyword. That is, for the same website, when searching through different IP addresses in the same search engine, the ranking of the website may be different.
In the embodiment of the application, the server can search the keywords determined by the user in the search engine determined by the user through each test IP address according to a plurality of preset test IP addresses, and determine the ranking of the website of the user in each test IP address. And each test IP address corresponds to different preset labels, and each preset label is related to the historical search data of each test IP address.
Different historical search data exist in each test IP address, and the different historical search data may correspond to different types of crowds and reflect the search habits and preferences of the different types of crowds. The preset labels corresponding to the test IP addresses may be labels set according to the classification of people, where how to specifically classify different types of people, for example, male and female according to gender, students and engineers according to occupation, and the like, which is not limited in the present application.
Then, the ranking of the website determined by the server through each test IP address can be regarded as the ranking of the website corresponding to the population of the preset tag corresponding to each test IP address. The server can display the determined different website ranks according to different preset labels so as to visually reflect different data of the ranks of the optimized websites for different types of people. The user can determine the ranking promoting effect of the website for different types of crowds through different website ranks corresponding to different preset tags so as to further know the specific ranking promoting effect of the website.
In addition, when the server determines the ranking of the website and displays the ranking, the ranking in the time periods can be labeled according to a plurality of preset time periods. The preset time period represents a time period in which the normal ranking of the website may be affected by abnormal factors, for example, the ranking of the website may be raised due to promotion of a benefit activity by the website, and the like. Therefore, in order to ensure the scientificity of the website ranking change data displayed to the user and enable the user to know the change situation of the website ranking under the normal condition, the server can label the website ranking within the preset time periods when displaying the website ranking to the user so as to display that the ranking of the labeled website is irrelevant to the change data of the website ranking under the normal condition.
In addition, after determining the ranking of the website, the server can determine total cost data for optimizing the website according to the actual time length of the website when the ranking in the search engine determined by the user reaches the preset target. The user can determine the payment data according to the actual time length of the website ranking reaching the preset target. For example, the optimization time expected by the user is half a year, after website optimization is performed, the server queries the website ranking once a day, determines the total number of days for the website ranking to reach the preset target, namely the actual time length, and then determines the total cost data according to the actual time length.
Based on the same inventive concept, the monitoring method for promoting website ranking provided by the embodiment of the present application further provides a corresponding monitoring device for promoting website ranking, as shown in fig. 2.
Fig. 2 is a schematic structural diagram of a monitoring device for enhancing website ranking according to an embodiment of the present application, which specifically includes:
a first determining module 201, which determines a keyword to be optimized based on the input or selection of a user;
a second determining module 202, configured to determine, based on a search engine determined by a user and a plurality of features of the keyword to be optimized in the search engine determined by the user, cost data corresponding to the keyword, where the plurality of features at least include any one of: the number of search results obtained by searching the keywords in a search engine, the number of website home pages of the search results in a home page of the search engine, and character attributes corresponding to the keywords; the text attribute is related to the content of the keyword or the length of the keyword;
and the display module 203 determines the rank of the optimized website in the search engine, and displays the rank and the change data of the rank through a terminal corresponding to the user.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims (7)

1. A monitoring method for promoting website ranking is characterized by comprising the following steps:
determining keywords to be optimized based on input or selection of a user;
determining cost data corresponding to the keywords based on a search engine determined by a user and a plurality of characteristics of the keywords to be optimized in the search engine determined by the user, wherein the plurality of characteristics at least comprise any one of the following items: the number of search results obtained by searching the keywords in a search engine, the number of website home pages of the search results in a home page of the search engine, and character attributes corresponding to the keywords; the text attribute is related to the content of the keyword or the length of the keyword; the character attributes corresponding to the keywords at least comprise any one of the following items: the length of the keyword, the fixed language quantity of the keyword and the search index of the keyword; wherein the search index indicates a degree of interest of a search engine user to a keyword;
Determining the fee data corresponding to the keyword specifically comprises the following steps:
determining the feature value of each feature corresponding to the keyword in the search engine;
determining a charging index of the keyword according to each characteristic value of the keyword and a preset coefficient of each characteristic;
determining the charge data corresponding to the key words according to the charging index and the charging base number of the search engine;
determining the ranking of the optimized website in the search engine, and displaying the ranking and the change data of the ranking through a terminal corresponding to the user;
displaying the ranking and the change data of the ranking through a terminal corresponding to the user, specifically comprising:
and marking the ranking in the time period according to a preset time period, wherein the displayed ranking change data is irrelevant to the ranking in the marked time period.
2. The method of claim 1, wherein determining a ranking of the optimized website in the search engine specifically comprises:
determining the ranking of the optimized websites obtained by the test IP addresses in the search engine according to a plurality of preset test IP addresses; and each testing IP address corresponds to different preset labels, and each preset label is related to historical search data of each testing IP address.
3. The method of claim 1, further comprising:
and determining total cost data corresponding to the keywords according to the actual time length of the website ranking in the search engine reaching a preset target.
4. The method of claim 1, further comprising:
matching the keywords with a plurality of pre-stored words representing regions, wherein the words representing the regions are stored corresponding to a preset region level;
when the keywords have matched words representing regions, determining a level factor corresponding to the region level according to the region level of the words, and determining the cost data of the optimized website ranking corresponding to the keywords according to the level factor.
5. The method of claim 1, wherein the search index of the keyword is obtained by:
determining a search engine corresponding to the keyword to be optimized;
acquiring records of the keywords queried by the search engine within preset time, and determining search indexes of the keywords in the search engine according to the records; wherein the record includes a number of queries.
6. The method of claim 1, wherein the billing index is obtained by:
Q=a*x1+b*x2+c*x3+ d, where Q is the charging index, x1The number of search results, x, obtained for searching for the keyword in a search engine2The number, x, of the website home pages in the search engine home page for the search result3And a, b and c are preset coefficients corresponding to each characteristic, and d is a preset basic index for balancing the value range of Q.
7. A monitoring device for promoting website ranking, comprising:
the first determination module is used for determining keywords to be optimized based on input or selection of a user;
the second determination module is used for determining cost data corresponding to the keywords based on a search engine determined by a user and a plurality of characteristics of the keywords to be optimized in the search engine determined by the user, wherein the plurality of characteristics at least comprise any one of the following items: the number of search results obtained by searching the keywords in a search engine, the number of website home pages of the search results in a home page of the search engine, and character attributes corresponding to the keywords; the text attribute is related to the content of the keyword or the length of the keyword; the character attributes corresponding to the keywords at least comprise any one of the following items: the length of the keyword, the fixed language quantity of the keyword and the search index of the keyword; wherein the search index indicates a degree of interest of a search engine user to a keyword;
Determining the fee data corresponding to the keyword specifically comprises:
determining the feature value of each feature corresponding to the keyword in the search engine;
determining a charging index of the keyword according to each characteristic value of the keyword and a preset coefficient of each characteristic;
determining the charge data corresponding to the key words according to the charging index and the charging base number of the search engine;
the display module is used for determining the ranking of the optimized website in the search engine and displaying the ranking and the change data of the ranking through a terminal corresponding to the user;
displaying the ranking and the change data of the ranking through a terminal corresponding to the user, specifically comprising:
and marking the ranking in the time period according to a preset time period, wherein the displayed ranking change data is irrelevant to the ranking in the marked time period.
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