Language translation based on search results and user interaction data

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United States of America Patent

PATENT NO 10776707
APP PUB NO 20170262433A1
SERIAL NO

15064523

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Abstract

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Various aspects of the subject technology relate to systems, methods, and machine-readable media for language translation based on image search similarities. These aspects include an image retrieval system using a convolutional neural network that is trained to identify a correlation between an image and a language term, and using an image search engine to search against images corresponding to visual words that are responsive to a given search query in a given spoken language. These aspects include access to interaction probability data that identifies user interaction probabilities for the visual words to determine a correlation between the input language terms of the search query and the rate at which users interact with images of a corresponding visual word that is responsive to the search query. The system then provides a prioritized listing of images that is responsive to the given search query based on the identified user interaction probabilities.

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Patent Owner(s)

Patent OwnerAddress
SHUTTERSTOCK INC350 FIFTH AVENUE 21ST FLOOR NEW YORK NY 10118

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Chester, David Brooklyn, US 11 91
Hurst, Nathan Seattle, US 18 95

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