Search Results for author: SVN Vishwanathan

Found 2 papers, 0 papers with code

Embracing Structure in Data for Billion-Scale Semantic Product Search

no code implementations12 Oct 2021 Vihan Lakshman, Choon Hui Teo, Xiaowen Chu, Priyanka Nigam, Abhinandan Patni, Pooja Maknikar, SVN Vishwanathan

When training a dyadic model, one seeks to embed two different types of entities (e. g., queries and documents or users and movies) in a common vector space such that pairs with high relevance are positioned nearby.

Adaptive, Personalized Diversity for Visual Discovery

no code implementations2 Oct 2018 Choon Hui Teo, Houssam Nassif, Daniel Hill, Sriram Srinavasan, Mitchell Goodman, Vijai Mohan, SVN Vishwanathan

Search queries are appropriate when users have explicit intent, but they perform poorly when the intent is difficult to express or if the user is simply looking to be inspired.

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