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researcher

Asnat Greenstein-Messica

2 papers here

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

author position
  • first author1
  • middle author1

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

fields
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedNew Item Consumption Prediction Using Deep Learning

6 citations · 6 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2020

Automatic Machine Learning Derived from Scholarly Big Data

Asnat Greenstein-Messica, Roman Vainshtein, Gilad Katz +2

One of the challenging aspects of applying machine learning is the need to identify the algorithms that will perform best for a given dataset. This process can be difficult, time c…

cs.LG2019★ 6 cited

New Item Consumption Prediction Using Deep Learning

Michael Shekasta, Gilad Katz, Asnat Greenstein-Messica +2

Recommendation systems have become ubiquitous in today's online world and are an integral part of practically every e-commerce platform. While traditional recommender systems use c…

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