CN112115348A - Method and system for recommending brand domain name registration - Google Patents
Method and system for recommending 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 method and a system for recommending brand domain name registration, wherein the method comprises the following steps: acquiring a 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; 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 label with the brand attribute label, and recommending the latest top-level domain name as the registration domain name of the enterprise if the attribute labels of the domain name attribute label and the brand attribute label are overlapped in a crossing way. The method and the system for recommending brand domain name registration can help enterprises to automatically track newly added top-level domain names and automatically recommend the registered domain name list according to enterprise brand keywords, so that a decision mechanism for enterprise brand domain name registration is greatly simplified.
Description
Technical Field
The invention belongs to the technical field of Internet domain names, and particularly relates to a method and a system for recommending brand domain name registration.
Background
EPP is a standard communication protocol for domain name registrars to conduct gTLD services, and registrars generally conduct domain name transactions with registries via EPP clients.
The domain name terminal customer submits intention domain name information and registrant basic information through a registrant to carry out domain name registration purchase transaction.
As one of the domain name end customers, the enterprise generally registers the enterprise brand domain name via the registrar, and establishes a website for the enterprise to manage. In the past, enterprises have often registered enterprise brand domain names under top-level domains such as com, net, org, cn, etc. due to their high exposure rates and greater market interest. But after 2013, with the gradual activation of new general top-level domain names, enterprises face more and more choices when registering brand domain names.
At present, the top-level domain name of the root zone facing public open registration reaches more than one thousand. As a trademark brand owner of large enterprises, large institutions and the like, registration and reservation of the domain name of the brand under the top level domain become an important means for enterprises and organizations to protect long-term benefits of own brands.
However, it is very difficult for enterprises to track whether the root zone has a new top-level domain name for public registration because the top-level domain name of the root zone is still in the growth situation.
For enterprises and other organizations, if all domain names related to enterprise brands under all open registered top-level domain names can be completely registered, the method is the most thorough means for protecting the interests of the enterprises. However, this method has the disadvantage of huge cost, and for the enterprises and organizations with ordinary financial resources, the cost for registering the trademark domain names under all top-level domains may become a heavy burden for the enterprises.
In order to reduce the cost, an enterprise or an organization can choose to select a part of top-level domain names from more than one thousand of top-level domain names for registration of brand domain names, but although the method can save the cost of the enterprise, the brand domain names which have significant meaning to the enterprise are often missed due to the lack of an accurate and credible registration operation model, and particularly, the enterprise cannot 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 make timely and rapid intelligent recommendation for brand domain names with significant meanings for enterprises and other organizations becomes a problem to be solved at present.
Disclosure of Invention
The invention aims to provide a brand domain name registration recommendation method and system aiming at a newly opened top-level domain name, so as to timely and intelligently recommend brand domain name registration to enterprises and organizations.
In a first aspect of the present invention, a method for recommending brand domain name registration is provided, including:
acquiring a 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;
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 label with the brand attribute label, and recommending the latest top-level domain name as the registration domain name of the enterprise if the attribute labels of the domain name attribute label and the brand attribute label are overlapped in a crossing way.
Further, the different types of classification tables include: the system comprises a classification table based on the nice agreement standard of a commercial brand angle, a classification table based on the national economy industry of a national economy type angle and an organization type classification table based on an organization form angle.
Further, after the character strings of the top-level domain name are analyzed by a keyword analysis engine, label combinations are defined for the top-level domain name and are mapped to the classification and subclass of the Niss protocol standard, the classification and subclass of the national economic industry and the classification and subclass of the 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 are mapped to the classification and subclass of the Niss protocol standard, the classification and subclass of the national economic industry and the classification and subclass of the organization type.
Further, manual data correction is carried out on the defined label combination.
Furthermore, a top-level domain name data collector designates a website from ICANN every day at regular time, the change situation of the top-level domain name entering the root is tracked, and the latest top-level domain name list is obtained.
Further, after the domain name attribute labels and the brand attribute labels are respectively subjected to one-to-one matching and circular calculation according to different set classification tables, a label cross overlapping result list is obtained.
In another aspect of the present invention, a recommendation system for brand domain name registration is provided, including:
the data acquisition module is used for acquiring the latest top-level domain name and the keywords of the enterprise brand;
the top-level domain name classification module is used for mapping the acquired top-level domain names to different types of classification tables to form domain name attribute labels of the latest top-level domain names;
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 the registered domain name recommending module outputs a recommending result list according to whether the attribute labels of the registered domain name recommending module and the attribute labels of the registered domain name recommending module are overlapped in a cross mode.
Compared with the prior art, the method and the system for recommending brand domain name registration can help enterprises to automatically track newly-added top-level domain names and automatically recommend the registration domain name list according to enterprise brand keywords, so that a decision mechanism of enterprise brand domain name registration is greatly simplified, the goals of saving cost and maintaining enterprise brand rights and interests are achieved, and the efficiency of enterprise brand protection is improved.
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Fig. 1 is a flowchart illustrating a recommendation method for brand domain name registration according to 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 illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby. As certain terms are used throughout the description and claims to refer to particular components. As one skilled in the art will appreciate, manufacturers may refer to a component by different names. The present specification and claims do not intend to distinguish between components that differ in name but not function. The following description is of the preferred embodiment for carrying out the invention, and is made for the purpose of illustrating the general principles of the invention and not for the purpose of limiting the scope of the invention. The scope of the present invention is defined by the appended claims.
Referring to fig. 1, an embodiment of the present invention discloses a method for recommending brand domain name registration, including the following steps:
step S1, obtaining 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, a top-level domain name data collector designates a website from ICANN every day at regular time, the change situation of top-level domain name entering the root is tracked, when a new top-level domain name enters the root, ICANN can publish basic information of the top-level domain name at a website https:// www.iana.org/domains/root/db, the change of the website content can be automatically tracked by using a page content crawling technology, so that the latest change situation of the top-level domain name can be known, and a latest updated top-level domain name list is screened. By adopting an automatic acquisition means, the latest updating information can be acquired at any time and any place without the attention of enterprise users.
For the character string of the top-level domain name, word meaning analysis is carried out according to the key word composition of the character string, the word meaning analysis can adopt the existing semantic analysis algorithm, the word meaning is mapped to a set classification table divided from different dimensions, label combinations are defined for the top-level domain name which is updated recently, and the attribute label of the top-level domain name is formed.
In this embodiment, the classification from different dimensions includes: the classification and subclass of the Niss protocol standard, the classification and subclass of the national economic industry, and the classification and subclass of the organization type. The top-level domain names are classified and labeled with attribute labels respectively from the perspective of commercial brands, the perspective of national economy types and the perspective of organization forms. The system is divided into forty-five industry types according to the Niss protocol standard, the industry types can be further subdivided into ten thousand of industry and service types, the industry types are divided into ninety-seven subclasses of twenty major classes such as agriculture, forestry, animal husbandry, fishery, mining and manufacturing industry according to the national economy industry Classification (GB/T4754-2017) standard, and the industry types are divided into twenty-six subclasses of four major classes such as enterprises, institutions, public institutions and other organizations according to the organization type (GBT20091-2006) standard. Each top-level domain name can be classified into at least one of a large class according to its attribute characteristics. To is coming to
For example, ". com" may be defined as "communication, web service, business, company" ". org" may be defined as "web service, social service, scientific research and technical service, social organization, international organization", and so on.
S2, obtaining brand keywords of an enterprise, mapping the keywords to classification tables of different types, and forming brand attribute labels of the enterprise;
from the commercial perspective, brands can be divided into forty-five industry types according to the nice agreement standard, and the industry types can be further divided into more than ten thousand industry and service types; from the perspective of national economic types, brands can be divided into twenty major categories, ninety-seven minor categories, such as agriculture, forestry, animal husbandry, fishery, mining, manufacturing and the like, according to the national economic industry classification (GB/T4754-2017) standard; from the perspective of organization form, organizations with brands can be divided into twenty-six major categories, such as enterprises, institutions, public institutions, other organizations and the like, according to the standard of organization and organization type (GBT 20091-2006). Using a combination of these types, we can define and tag the brand word with attributes. For example, according to the nice protocol standard, the brand of Tencent can be divided into communication service, website service and other broad categories from the industry and divided into data information service, payment service, game, E-commerce and other subdivided categories; the method is classified according to national economic industry, can be defined as information transmission, software and information technology service industry and culture, 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, the brand name can be classified into enterprises and companies, and the brand name can be defined by using a label combination of communication service, website service, data information service, payment service, game, electronic commerce, information transmission software and information technology service industry, cultural sports and entertainment industry, internet and related service industry, software and information technology service industry, entertainment industry, enterprises and companies.
And step S3, matching the domain name attribute label with the brand attribute label, and recommending the latest top-level domain name as the registration domain name of the enterprise if the attribute labels of the domain name attribute label and the brand attribute label are overlapped in a cross mode.
Specifically, the top-level domain name and the enterprise brand keyword are defined separately by using a tag attribute group. When the attribute intersection occurs between the top-level domain name label attribute group and the enterprise brand keyword label attribute group, the strong association relationship between the top-level domain name and the enterprise brand keyword is shown, which means that the brand word of the enterprise has significant value under the top-level domain, and the formed brand domain name registration recommendation list is pushed to the user side.
In correspondence with the above-described embodiments, referring to fig. 2 and 3, another embodiment of the present invention provides a brand domain name registration recommendation 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 the keywords of the enterprise brand; the top-level domain name data collector updates and downloads top-level domain name information from an ICANN appointed website every day at regular time, obtains a latest top-level domain name list, and collects brand keywords input by users of organizations such as enterprises and the like.
The top-level domain name classification module is used for mapping the acquired top-level domain names to different types of classification tables to form domain name attribute labels of the latest top-level domain names; for the top-level domain name character string, a keyword analysis engine is used for carrying out grammatical analysis, and then label combinations are defined for the top-level domain name and are mapped to industry classes and subclasses, national economy industry classes and subclasses, organizational structure classes and subclasses and the like; the label assembly can be manually intervened and corrected through 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 by a system, and mapping each keyword to an industry class and subclass, a national economy industry class and subclass, an organization class and subclass and the like; the label combination of each brand keyword can be manually intervened 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 performing matching calculation on the top-level domain name label combination and the brand keyword label combination one by one, if the attributes of the two labels are in a cross overlapping condition, indicating that the top-level domain name has obvious correlation to the brand keyword, namely registering the domain name to have obvious value, and recording the calculation result into a list.
And the registration domain name recommending module is used for indicating that the domain name is worthy of registration under the classification according to whether the attribute labels of the domain name recommending module and the attribute labels of the domain name recommending module are overlapped or not, and outputting a recommending result list if the attribute labels of the domain name recommending module and the attribute labels of the domain name recommending module are overlapped. And performing cycle calculation on all top-level domain names and all brand keywords one by one to obtain a label cross overlapping result list, namely a domain name registration recommendation list.
The method and the system for recommending brand domain name registration can help enterprises to automatically track newly added top-level domain names and automatically recommend the registered domain name list according to enterprise brand keywords, so that a decision mechanism for enterprise brand domain name registration is greatly simplified, and the aims of saving cost and maintaining enterprise brand rights and interests are fulfilled.
It should be noted that the above-mentioned embodiments are only preferred embodiments of the present invention, and the scope of the present invention is not limited thereby, and the present invention may be modified in materials and structures, or replaced with technical equivalents, in the constructions of the above-mentioned various components. Therefore, structural equivalents made by using the description and drawings of the present invention or by directly or indirectly applying to other related arts are also encompassed within the scope of the present invention.
Claims (8)
1. A method for recommending brand domain name registration, the method comprising:
acquiring a 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;
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 label with the brand attribute label, and recommending the latest top-level domain name as the registration domain name of the enterprise if the attribute labels of the domain name attribute label and the brand attribute label are overlapped in a crossing way.
2. The recommendation method for brand domain name registration according to claim 1, wherein the different types of classification tables include: the system comprises a classification table based on the nice agreement standard of a commercial brand angle, a classification table based on the national economy industry of a national economy type angle and an organization type classification table based on an organization form angle.
3. The recommendation method for brand domain name registration according to claim 2, wherein after the character strings of the top-level domain name are analyzed by the keyword analysis engine, a label combination is defined for the top-level domain name, and the label combination is mapped to the classification and subclass of the nice protocol standard, the classification and subclass of the national economic industry, and the classification and subclass of the organization type.
4. The method of claim 2, wherein after the brands of the enterprise are analyzed by the keyword analysis engine, a tag combination is defined for the brands of the enterprise, and the tag combination is mapped to the category and subclass of the nissl standard, the category and subclass of the national economic industry, and the category and subclass of the organizational type.
5. A recommendation method for brand domain name registration according to claim 3 or 4, characterized in that manual data correction is also performed on the defined tag combinations.
6. The recommendation method for brand domain name registration according to claim 1, wherein a top-level domain name data collector is used to track the top-level domain name root entry change situation from an ICANN designated website every day at regular time intervals to obtain a latest top-level domain name list.
7. The recommendation method for brand domain name registration according to claim 1, wherein the domain name attribute labels and the brand attribute labels are respectively subjected to one-to-one matching and cyclic calculation according to different set classification tables to obtain a label cross-overlapping result list.
8. 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 the keywords of the enterprise brand;
the top-level domain name classification module is used for mapping the acquired top-level domain names to different types of classification tables to form domain name attribute labels of the latest top-level domain names;
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 the registered domain name recommending module outputs a recommending result list according to whether the attribute labels of the registered domain name recommending module and the attribute labels of the registered domain name recommending module are overlapped in a cross mode.
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