Soudamini Sreepada

Hyderabad, Telangana, India Contact Info
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Deep working knowledge in ML fundamentals, Computer vision, Natural Language Processing…

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Patents

  • Generating and applying an object-level relational index for images

    Issued 11182408

    In current practice, a user may conduct a text-based search or an image-based search. In the latter type of search, the user captures or selects a single composite image and then submits that image as a query to the search engine. The search engine leverages an index to identify one or more candidate images that match the submitted image. More specifically, the index devotes a single entry to each candidate image

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  • Finding complementary digital images using a conditional generative adversarial network

    Issued 10949706

    Computing systems often employ recommendation engines to suggest one or more digital items, given a user's selection of an initial digital item. In a common strategy, a recommendation engine may regard digital items as related based on a consideration of click count information. For example, the recommendation engine can determine that two digital items are related if many users who click on (or otherwise interact with) a first digital item also click on a second digital item. This measure of…

    Computing systems often employ recommendation engines to suggest one or more digital items, given a user's selection of an initial digital item. In a common strategy, a recommendation engine may regard digital items as related based on a consideration of click count information. For example, the recommendation engine can determine that two digital items are related if many users who click on (or otherwise interact with) a first digital item also click on a second digital item. This measure of relatedness, however, is noisy because it encompasses a variety of reasons why users have interacted with the digital items. This measure of relatedness is therefore not sufficiently nuanced to pinpoint those occasions in which a user is attempting to find two complementary digital items, e.g., as when the user is attempting to find images of complementary items of apparel.

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