ALEXANDRIA, Va., Jan. 29 -- United States Patent no. 12,210,576, issued on Jan. 28, was assigned to AMAZON TECHNOLOGIES INC. (Seattle).
"Modeling seasonal relevance for online search" was invented by Haode Yang (Seattle), Dan Bu (Kirkland, Wash.), Roberto Fernandez Galan (Bellevue, Wash.), Parth Gupta (Gandhinagar, India) and Dongmei Jia (Bellevue, Wash.).
According to the abstract* released by the U.S. Patent & Trademark Office: "Techniques are generally described for modeling seasonal relevance for online search. A first query or item comprising text is received. A language model may be used to generate a plurality of token embeddings representing the text. In some cases, the first neural network may predict a seasonal relevance vector ...