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Bhaskar Mitra

Microsoft

38 papers hereh-index 3610.2k citations111 works total

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

author position
  • sole author1
  • first author8
  • middle author27
  • last author1

Across the 37 of 38 papers where every author was matched, so the position is known.

fields
  • cs.IR37
  • cs.HC1
affiliations
  • Microsoft
  • University College London
Homepage
same name
  • Bhaskar Mitra — 8 papers
  • Bhaskar Mitra — 4 papers
  • Bhaskar Mitra — 4 papers
  • Bhaskar Mitra — 1 paper, h 5
  • Bhaskar Mitra — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162025
most citedOverview of the TREC 2020 deep learning track

117 citations · 304 across the 25 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.IR2018

A Line in the Sand: Recommendation or Ad-hoc Retrieval?

Surya Kallumadi, Bhaskar Mitra, Tereza Iofciu

The popular approaches to recommendation and ad-hoc retrieval tasks are largely distinct in the literature. In this work, we argue that many recommendation problems can also be cas…

cs.IR2018

Cross Domain Regularization for Neural Ranking Models Using Adversarial Learning

Daniel Cohen, Bhaskar Mitra, Katja Hofmann +1

Unlike traditional learning to rank models that depend on hand-crafted features, neural representation learning models learn higher level features for the ranking task by training…

cs.IR2018

Optimizing Query Evaluations using Reinforcement Learning for Web Search

Corby Rosset, Damien Jose, Gargi Ghosh +2

In web search, typically a candidate generation step selects a small set of documents---from collections containing as many as billions of web pages---that are subsequently ranked…

cs.IR2018

Neural Networks for Information Retrieval

Tom Kenter, Alexey Borisov, Christophe Van Gysel +3

Machine learning plays a role in many aspects of modern IR systems, and deep learning is applied in all of them. The fast pace of modern-day research has given rise to many approac…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.