Abstract: 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.

Abstract: An article of manufacture for predicting the popularity of media may include at least one processor readable storage medium and instructions stored on the at least one medium. The instructions may be configured to be readable from the at least one medium by at least one processor and may thereby cause the at least one processor to operate so as to determine a publication time associated with digital media, set a predetermined time threshold based on the publication time, analyze the digital media to determine at least one feature associated with the digital media, compile the determined at least one feature, predict a popularity associated with the digital media based on the compiled at least one feature, and output the predicted popularity. The at least one feature associated with the digital media may be determined before the predetermined time threshold.

Abstract: An article of manufacture for predicting the popularity of media may include at least one processor readable storage medium and instructions stored on the at least one medium. The instructions may be configured to be readable from the at least one medium by at least one processor and may thereby cause the at least one processor to operate so as to determine a publication time associated with digital media, set a predetermined time threshold based on the publication time, analyze the digital media to determine at least one feature associated with the digital media, compile the determined at least one feature, predict a popularity associated with the digital media based on the compiled at least one feature, and output the predicted popularity. The at least one feature associated with the digital media may be determined before the predetermined time threshold.