CN112115348B - Recommendation method and system for brand domain name registration - Google Patents
Recommendation method and system for brand domain name registration Download PDFInfo
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Abstract
The invention belongs to the technical field of Internet domain names, and discloses a recommendation method and a recommendation system for brand domain name registration, wherein the method comprises the following steps: obtaining the latest top-level domain name, mapping the latest top-level domain name to different types of classification tables, and forming a domain name attribute label of the top-level domain name; obtaining brand keywords of an enterprise, and mapping the keywords to different types of classification tables to form brand attribute labels of the enterprise; and matching the domain name attribute tag with the brand attribute tag, and recommending the latest top-level domain name as the registered domain name of the enterprise if the attribute tags of the domain name attribute tag and the brand attribute tag are overlapped. The recommendation method and the recommendation system for brand domain name registration can help enterprises automatically track newly added top-level domain names and automatically recommend registered domain name lists according to enterprise brand keywords, so that decision mechanisms for enterprise brand domain name registration are greatly simplified.
Description
Technical Field
The invention belongs to the technical field of Internet domain names, and particularly relates to a recommendation method and a recommendation system for brand domain name registration.
Background
EPP is a standard communication protocol for domain name registrars to develop the gTLD service, and registrars typically conduct domain name transactions with the registry through EPP clients.
The domain name terminal client submits intention domain name information and registrant basic information through the registrar to conduct domain name registration purchase transaction.
As one of the domain name terminal clients, an enterprise typically registers an enterprise brand domain name via a registrar, and establishes a website for enterprise operations. In the past, enterprises have often registered enterprise brand domain names under top-level domains such as com, net, org, cn, etc. because of their high exposure to top-level domains, which are of greater interest to the market. But after 2013, as new generic top-level domain names are progressively enabled, businesses face more and more choices when registering brand domain names.
The current root area is open to public registration of top-level domain names, reaching more than one thousand. As brand owners of large enterprises, large institutions and the like, registering and retaining brand domain names under top-level domains becomes an important means for protecting long-term interests of the enterprises and organizations.
However, it is very difficult for an enterprise to keep track of whether a root zone has a new top-level domain name for public registration, since the root zone top-level domain name is still in a growing situation.
For enterprises and other organizations, the method can register all domain names related to enterprise brands under all top-level domain names which are registered openly, and is the most thorough means for protecting the interests of the enterprises. However, this method has a disadvantage in that it is costly, and it is likely that the costs for registering trademark domain names under all top-level domains will be a relatively heavy burden for enterprises and organizations having general financial resources.
In order to reduce the cost, an enterprise or an organization can choose a part of the top-level domain names from thousands of top-level domain names to register the brand domain names, but the method can save the enterprise cost, but the enterprise often leaks out brand domain names which have significant significance to the enterprise due to the lack of an accurate and reliable registration operation model, and particularly, the enterprise can not track the brand domain names in time aiming at some newly opened top-level domain names.
Therefore, how to design an intelligent brand domain name registration recommendation method and system can timely and rapidly intelligently recommend brand domain names with remarkable significance to enterprises and other organizations, and the method and system become the problem to be solved at present.
Disclosure of Invention
The invention aims to provide a recommendation method and a system for brand domain name registration aiming at a newly opened top-level domain name, and the recommendation method and the system can timely and intelligently recommend the brand domain name registration to enterprises and organizations.
In a first aspect of the present invention, a recommendation method for brand domain name registration is provided, including:
obtaining the latest top-level domain name, mapping the latest top-level domain name to different types of classification tables, and forming a domain name attribute label of the top-level domain name;
obtaining brand keywords of an enterprise, and mapping the keywords to different types of classification tables to form brand attribute labels of the enterprise;
and matching the domain name attribute tag with the brand attribute tag, and recommending the latest top-level domain name as the registered domain name of the enterprise if the attribute tags of the domain name attribute tag and the brand attribute tag are overlapped.
Further, the different types of classification tables include: classification table of Niss protocol standard based on commercial brand angle, classification table of national economy industry based on national economy type angle, organization type classification table based on organization form angle.
Further, after the character string of the top-level domain name is analyzed by using a keyword analysis engine, a label combination is defined for the top-level domain name, and the label combination is mapped to classification and subclass of a nice protocol standard, classification and subclass of national economy industry and classification and subclass of organization type.
Further, after the brands of the enterprises are analyzed by the keyword analysis engine, label combinations are defined for the brands of the enterprises and mapped into classifications and subclasses of Niss protocol standards, classifications and subclasses of national economy and classification and subclasses of organization types.
Further, manual data correction is performed on the defined label combination.
Further, the latest top domain name list is obtained by tracking the change of the top domain name entering root through the top domain name data collector from the ICANN appointed website at daily timing.
Further, after one-to-one matching and cyclic calculation are respectively carried out on the domain name attribute labels and the brand attribute labels according to different set classification tables, a label cross overlapping result list is obtained.
In another aspect of the present invention, there is provided a recommendation system for brand domain name registration, including:
the data acquisition module is used for acquiring the latest top-level domain name and keywords of enterprise brands;
the top-level domain name classification module is used for mapping the obtained top-level domain name to different types of classification tables to form a domain name attribute label of the latest top-level domain name;
the enterprise brand classification module is used for mapping the acquired keywords of the enterprise brands to different types of classification tables to form brand attribute labels of the enterprises;
the label matching module is used for comparing and matching the domain name attribute label with the brand attribute label;
and registering the domain name recommendation module, and outputting a recommendation result list according to whether the attribute labels of the registered domain name recommendation module and the registered domain name recommendation module are overlapped.
Compared with the prior art, the recommendation method and the recommendation system for brand domain name registration can help enterprises to automatically track newly added top-level domain names and automatically recommend a registered domain name list according to enterprise brand keywords, so that decision mechanisms of enterprise brand domain name registration are greatly simplified, the purposes of saving cost and maintaining enterprise brand rights and interests are achieved, and enterprise brand protection efficiency is improved.
Drawings
Fig. 1 is a flowchart of a recommendation method for brand domain name registration in an embodiment of the present invention.
FIG. 2 is a schematic diagram of a recommendation system for brand domain name registration in an embodiment of the present invention.
FIG. 3 is an architecture diagram of a recommendation system for brand domain name registration in an embodiment of the present invention.
Detailed Description
The following examples are only for more clearly illustrating the technical aspects of the present invention, and are not intended to limit the scope of the present invention. Certain terms are used throughout the description and claims to refer to particular components. Those of skill in the art will appreciate that a manufacturer of hardware or software may refer to a component by different names. The description and claims do not take the form of an element with differences in names, but rather with differences in functions. The description hereinafter sets forth a preferred embodiment for practicing the invention, but is not intended to limit the scope of the invention, as the description is given for the purpose of illustrating the general principles of the invention. The scope of the invention is defined by the appended claims.
Referring to fig. 1, the embodiment of the invention discloses a recommendation method for brand domain name registration, which comprises the following steps:
step S1, acquiring the latest top-level domain name, and mapping the latest top-level domain name to different types of classification tables to form a domain name attribute label of the top-level domain name;
specifically, the website is appointed by the top domain name data collector every day and time, the change condition of the top domain name entering the root is tracked, when a new top domain name enters the root, the ICANN can publish the basic information of the top domain name in the website https:// www.iana.org/domains/roots/db, and the page content crawling technology is used for automatically tracking the change of the page content of the website, so that the latest change condition of the top domain name can be obtained, and the latest updated top domain name list after screening. By adopting an automatic acquisition means, enterprise users do not need to pay attention, and the latest update message can be acquired anytime and anywhere.
For the character string of the top-level domain name, word sense analysis is carried out according to the key word composition of the character string, the semantic analysis can adopt the existing semantic analysis algorithm to map the word sense to a set classification table divided from different dimensions, and a label combination is defined for the latest updated top-level domain name to form an attribute label of the top-level domain name.
In this embodiment, classifying the classification from different dimensions includes: classification and subclass of nice protocol standard, classification and subclass of national economy industry, classification and subclass of organization type. The three types are respectively classified from the aspects of commercial brands, national economy types and organization forms, and attribute labels are marked on top-grade domain names. According to Niles protocol standard, the method is divided into forty-five industry types, the industry types can be further subdivided into more than ten thousand industries and service types, according to national economy industry classification (GB/T4754-2017) standard, twenty major categories such as agriculture, forestry, animal husbandry, mining industry, manufacturing industry and the like, ninety-seven minor categories are divided into four major categories such as enterprises, institutions, other organizations and the like according to the organization type (GBT 20091-2006) standard. Each top-level domain name may be classified into at least one of a number of classes based on its attribute characteristics. For the purpose of
For example ". Com" may be defined and categorized as "communication, web service, enterprise, company", ". Org" may be defined and categorized as "web service, social service, scientific research and technical service, social organization, international organization" and the like.
S2, obtaining brand keywords of an enterprise, and mapping the keywords to different types of classification tables to form brand attribute labels of the enterprise;
from a commercial perspective, brands can be divided into forty-five industry types according to the nism protocol standard, and the industry types can be subdivided into tens of thousands of industry and service types; from the viewpoint of national economy type, brands can be divided into ninety-seven subclasses of twenty major classes such as agriculture, forestry, animal husbandry, fishery, manufacturing industry and the like according to the standard of national economy industry classification (GB/T4754-2017); from the aspect of organization morphology, organizations with brands can be divided into twenty-six subclasses of four major classes of enterprises, institutions, other organizations and the like according to the "organization type" (GBT 20091-2006) standard. Using a combination of these types, we can define brand words and tag them with attributes. For example, the brand is vacated, and according to the Nissan protocol standard, the brand can be divided into large categories such as communication service, website service and the like in industry and subdivided into sub-categories such as data information service, payment service, games, electronic commerce and the like; classified according to national economy industry, the method can be defined as information transmission, software and information technology service industry, cultural, sports and entertainment industry, and is subdivided into Internet and related service industry, software and information technology service industry and entertainment industry; from the organization morphology, it can be classified into business and company categories, and then we can define messenger brands using a label combination of "communication services, web services, data information services, payment services, games, electronic commerce, information transmission software and information technology services, cultural sports and entertainment, internet and related services, software and information technology services, entertainment, business, company".
And step S3, matching the domain name attribute labels with the brand attribute labels, and recommending the latest top-level domain name as a registered domain name of an enterprise if the attribute labels of the domain name attribute labels and the brand attribute labels are overlapped.
Specifically, the top-level domain name and the enterprise brand keyword are defined by using the tag attribute group. When the attribute group of the top-level domain name label and the attribute group of the enterprise brand keyword label are crossed, the strong association relationship between the top-level domain name and the enterprise brand keyword is shown, and meanwhile, the fact that the brand word of the enterprise has significant value in the top-level domain is also meant, and the formed brand domain name registration recommendation list is pushed to a user side.
In correspondence with the above embodiments, referring to fig. 2 and 3, another embodiment of the present invention provides a recommendation system for brand domain name registration, the system including: data acquisition module, top-level domain name classification module, enterprise brand classification module, tag matching module and registered domain name recommendation module
The data acquisition module is used for acquiring the latest top-level domain name and keywords of enterprise brands; the top-level domain name data collector updates and downloads the top-level domain name information from the ICANN appointed website at regular time every day to obtain the latest top-level domain name list, and the enterprise keyword recorder collects brand keywords input by users of organizations such as enterprises.
The top-level domain name classification module is used for mapping the obtained top-level domain name to different types of classification tables to form a domain name attribute label of the latest top-level domain name; for the top-level domain name character string, a keyword analysis engine is used for carrying out grammar analysis, and then label combinations are defined for the top-level domain name and mapped to industry classification and subclasses, national economy industry classification and subclasses, organization classification and subclasses and the like; the label combination can be manually interfered and corrected by a data corrector.
The enterprise brand classification module is used for mapping the acquired keywords of the enterprise brands to different types of classification tables to form brand attribute labels of the enterprises; using a keyword analysis engine, automatically analyzing the system, and mapping each keyword to industry classification and subclass, national economy industry classification and subclass, organization classification and subclass and the like; the label combination of each brand keyword can be manually interfered and corrected through a data corrector.
The label matching module is used for comparing and matching the domain name attribute label with the brand attribute label; and carrying out one-by-one matching calculation on the top-level domain name label combination and the brand keyword label combination, if the two label attributes are overlapped, namely, representing that the top-level domain name has obvious correlation to the brand keyword, namely, registering the domain name has obvious value, and recording the calculation result into a list.
And the domain name registration recommending module is used for registering under the classification according to whether the attribute labels of the domain name registration recommending module and the attribute labels are overlapped in a crossing mode or not, and outputting a recommending result list if the attribute labels are overlapped. And (3) performing cycle-by-cycle calculation on all top-level domain names and all brand keywords to obtain a label cross-overlapping result list, namely a domain name registration recommendation list.
The recommendation method and the recommendation system for brand domain name registration can help enterprises automatically track newly added top-level domain names and automatically recommend registered domain name lists according to enterprise brand keywords, so that decision mechanisms of enterprise brand domain name registration are greatly simplified, and the aims of saving cost and maintaining enterprise brand interests are achieved.
It should be noted that the foregoing description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the invention, and the present invention may also be modified by material and structure of the above-mentioned various components or by substitution of technical equivalents. Therefore, all equivalent structural changes made in the specification and the illustrated content of the present invention, or direct or indirect application to other related technical fields are included in the scope of the present invention.
Claims (5)
1. A recommendation method for brand domain name registration, the method comprising:
obtaining the latest top-level domain name, mapping the latest top-level domain name to different types of classification tables, and forming a domain name attribute label of the top-level domain name; the different types of classification tables include: classification tables of Niss protocol standards based on commercial brand angles, classification tables of national economy industry based on national economy type angles, and organization type classification tables based on organization form angles;
obtaining brand keywords of an enterprise, and mapping the keywords to different types of classification tables to form brand attribute labels of the enterprise;
matching the domain name attribute tag with the brand attribute tag, and recommending the latest top-level domain name as a registered domain name of an enterprise if the attribute tags of the domain name attribute tag and the brand attribute tag are overlapped;
after the character strings of the top-level domain name are analyzed by using a keyword analysis engine, defining label combinations for the top-level domain name, and mapping the label combinations to classification and subclasses of a Niss protocol standard, classification and subclasses of national economy and classification and subclasses of organization types; and/or the number of the groups of groups,
after the brands of the enterprises are analyzed by the keyword analysis engine, label combinations are defined for the brands of the enterprises and mapped into classifications and subclasses of Niss protocol standards, classifications and subclasses of national economy and classification and subclasses of organization types.
2. The method of claim 1, wherein the defined tag combinations are further subjected to manual data modification.
3. The recommendation method for brand domain name registration according to claim 1, wherein the latest top domain name list is obtained by tracking the top domain name root variation situation from the ICANN-designated website by the top domain name data collector at daily timing.
4. The recommendation method for brand domain name registration according to claim 1, wherein a tag cross-overlap result list is obtained after one-to-one matching and cyclic calculation are performed on the domain name attribute tags and the brand attribute tags according to different set classification tables.
5. A recommendation system for brand domain name registration, the system comprising:
the data acquisition module is used for acquiring the latest top-level domain name and keywords of enterprise brands;
the top-level domain name classification module is used for mapping the obtained top-level domain name to different types of classification tables to form a domain name attribute label of the latest top-level domain name; the different types of classification tables include: classification tables of Niss protocol standards based on commercial brand angles, classification tables of national economy industry based on national economy type angles, and organization type classification tables based on organization form angles;
the enterprise brand classification module is used for mapping the acquired keywords of the enterprise brands to different types of classification tables to form brand attribute labels of the enterprises;
the label matching module is used for comparing and matching the domain name attribute label with the brand attribute label;
the domain name recommendation module is registered, and a recommendation result list is output according to whether the attribute labels of the domain name recommendation module and the domain name recommendation module are overlapped;
wherein the system is further for:
after the character strings of the top-level domain name are analyzed by using a keyword analysis engine, defining label combinations for the top-level domain name, and mapping the label combinations to classifications and subclasses of Niss protocol standards, classifications and subclasses of national economy and types of organizations; and/or the number of the groups of groups,
after the brands of the enterprises are analyzed by the keyword analysis engine, label combinations are defined for the brands of the enterprises and mapped into classifications and subclasses of Niss protocol standards, classifications and subclasses of national economy and classification and subclasses of organization types.
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| CN114629875B (en) * | 2022-02-10 | 2024-06-04 | 互联网域名系统北京市工程研究中心有限公司 | Active detection domain name brand protection method and device |
| CN117041207B (en) * | 2023-08-09 | 2024-03-15 | 深圳海域信息技术有限公司 | Domain name management and service method based on big data analysis |
| CN117708412A (en) * | 2023-10-31 | 2024-03-15 | 灵犀科技有限公司 | Enterprise dynamic pushing method and device, electronic equipment and readable medium |
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