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V. Lakshman

3 papers hereh-index 8257 citations25 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.IR3

identity via Semantic Scholar / OpenAlex

most citedSemantic Product Search

12 citations · 12 across the 3 of their papers we have counts for

collaborators

3 papers

cs.IR2021

Low-Precision Quantization for Efficient Nearest Neighbor Search

Anthony Ko, Iman Keivanloo, Vihan Lakshman +1

Fast k-Nearest Neighbor search over real-valued vector spaces (KNN) is an important algorithmic task for information retrieval and recommendation systems. We present a method for u…

cs.IR2021

Embracing Structure in Data for Billion-Scale Semantic Product Search

Vihan Lakshman, Choon Hui Teo, Xiaowen Chu +4

We present principled approaches to train and deploy dyadic neural embedding models at the billion scale, focusing our investigation on the application of semantic product search.…

cs.IR2019★ 12 cited

Semantic Product Search

Priyanka Nigam, Yiwei Song, Vijai Mohan +7

We study the problem of semantic matching in product search, that is, given a customer query, retrieve all semantically related products from the catalog. Pure lexical matching via…

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