Verisign, Inc.

Aubry Cholleton

Vincent Raemy

Jean Hennebert

Baptiste Wicht

Andreas Fischer

Yannis Labrou

Andrew West

Embodiments relate to systems, devices, computer-readable media, and computer-implemented methods for generating domain name suggestions by receiving an input string via a user interface, determining an alternative of the input string, determining affixes of the input string, determining top level domains associated with the input string, determining registration availability of domain names including one-step string sequences from the input string based on the alternative input string, the affixes of the input string, and the top level domains associated with the input string, and generating a display for the user interface, where the display includes: the input string, the alternative of the input string, the affixes of the input string, and the top level domains associated with the input string; and indications of the registration availability of the domains names including the one-step string sequences.

Systems, devices, and methods for generating a domain name using a user interface

Techniques for generating unregistered internet domain names using machine learning (e.g., neural networks) are presented. The techniques can include identifying, using an electronic processor, a subset of registered domain names having at least one specified characteristic, vectorizing, using an electronic processor, a training subset of domain names in the subset of registered domain names to obtain a set of vectors, training, using an electronic processor, a machine learning algorithm with the set of vectors to produce a trained machine learning model, generating, using an electronic processor, at least one output domain name by the trained machine learning model, and outputting the at least one output domain name.

Deep neural network generation of domain names

Systems, devices, and methods for generating a domain name using a user in interface

Embodiments relate to systems, devices, and computing-implemented methods for generating domain name suggestions by obtaining a domain name suggestion input that includes textual data, segmenting the textual data into tokens, obtaining a list of possible affixes to the textual data, determining conditional probabilities for the possible affixes using a language model, ranking the list of possible affixes based on the conditional probabilities to generate a ranked list of affixes, and generating domain name suggestions based on the ranked list of affixes.

Systems, devices, and methods for improved affix-based domain name suggestion

Techniques for generating internet domain name suggestions using machine learning are presented. Some techniques include obtaining sets of domain names, each set of domain names including domain names that concern a selected topic, training machine learning algorithms, such that trained language models are produced, each trained language model concerning a different selected topic, obtaining a seed domain name, identifying a primary topic that the seed domain name concerns, applying to the seed domain name a trained language model of the trained language models that concerns the primary topic, such that a primary proposed domain name is produced, where the primary proposed domain name concerns the primary topic and includes the seed domain name and at least one of a prefix or a suffix, and offering to register the primary proposed domain name.

Provided are methods, devices, and computer-readable media for accessing a domain name; determining, via the processor, at least two words in the domain name; determining at least one alternative word for at least one word in the domain name; determining whether the at least one alternative word is contextually relevant; and generating at least one alternative domain name based on a determination that the at least one alternative word is contextually relevant.

Syntactically and/or semantically relevant alternative domain name generation

A computer device, a computer-readable medium and a computer-implemented method is provided. The computer device and the computer-readable medium perform the computer-implemented method of generating unregistered internet domain names using a trained encoder function and a trained decoder function. The method includes obtaining one or more seed domain names; mapping, using a hardware processor implementing the trained encoder function, the one or more seed domain names in a low-dimensional information-rich latent space; modifying a representation of one domain name of the one or more seed domain names that is encoded in the low-dimensional information-rich latent space; and generating, using the hardware processor implementing the trained decoder function, one or more unregistered domain names for domain name registration from the representation that is modified.

Growing community of inventors

Fribourg, Switzerland

Aubry Cholleton