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Jaya Kawale

2 papers here

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

author position
  • middle author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.IR1
  • stat.ML1
ORCID 0009-0005-5451-3308

identity via Semantic Scholar / OpenAlex

most citedBeyond Labels: Leveraging Deep Learning and LLMs for Content Metadata

13 citations · 13 across the 2 of their papers we have counts for

collaborators

2 papers

cs.IR2023★ 13 cited

Beyond Labels: Leveraging Deep Learning and LLMs for Content Metadata

Saurabh Agrawal, John Trenkle, Jaya Kawale

Content metadata plays a very important role in movie recommender systems as it provides valuable information about various aspects of a movie such as genre, cast, plot synopsis, b…

stat.ML2017

Recommendation under Capacity Constraints

Konstantina Christakopoulou, Jaya Kawale, Arindam Banerjee

In this paper, we investigate the common scenario where every candidate item for recommendation is characterized by a maximum capacity, i.e., number of seats in a Point-of-Interest…

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