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AssigneeVeriSign, Inc.
InventorsMohammad Raihanul Islam, Yaser Keneshloo, Yannis Labrou, Andrew West
Estimating the term…
Techniques for generating unregistered internet domain names using machine learning are presented. The techniques include parsing terms in an embedding training corpus of computer-readable text produce a tokenized embedding training corpus of text; adding tag(s) to produce a tagged tokenized embedding training corpus of text; vectorizing to produce a vector space embedding model mapping tagged tokenized terms to vectors; parsing domain names of a domain name training corpus of registered domain names to obtain a tokenized domain name training corpus; adding at least one tag to tokens to obtain a tagged tokenized domain name training corpus; vectorizing using the vector space model to produce a vectorized domain name training corpus; training a machine learning algorithm with the vectorized domain name training corpus to produce a trained machine learning model; generating an output domain name by the trained machine learning model; and outputting the output domain name.
A computer-implemented method of generating internet domain names using machine learning, the method comprising:
A computer system for generating internet domain names using machine learning, the computer system comprising at least one electronic processor programmed to perform:
Computer readable non-transitory media comprising computer readable instructions, which, when executed by a computer system comprising at least one electronic processor, cause the computer system to generate internet domain names using machine learning by:
Dependencies are inferred from the claim text.