Research

About us
The Applied Research group at eBay Israel R&D center explores and provides solutions for deeply complex problems by conducting research in areas of Data Science, Machine Learning, NLP, Recommendation Systems, Information Retrieval, and Computer Vision. We work closely with the engineering and product teams to bring state of the art technology to production environments. The group focuses on a variety of topics, all with a deep impact on eBay’s core business. For example, using ML to make eBay’s data more structured, generating high quality content for eBay’s catalog, offering intelligent pricing suggestions, and guiding sellers on how to bid on eBay’s promoted listings.
Our researchers are owning the full lifecycle of their products: from understanding the business problem, through conducting the research and finding the right ML approach, to production deployment. Think, full-stack researcher / data scientist. Moreover, we see great importance in publishing our work in scientific top-tier conferences (WWW, WSDM, SIGIR, CIKM, EMNLP, IJCAI, SIGMOD, VLDB and others).
Our team closely collaborates with leading Israeli universities:
The Technion, Tel Aviv University, The Hebrew University of Jerusalem,
and Ben-Gurion University of the Negev.
Meet the team

Alex Nus

Team lead

Arnon Dagan

Research Scientis

Eliyahu Kiperwasse

Research Scientis

Gal Lavee

Research Scientis

Gilad Fuchs

Research Scientis

Greg Goren

Research Scientis

Haggai Roitman

Research Scientis

Idan Hasson

Research Scientis

Matan Mandelbrod

Team Lead

Maytal Messing

Research Scientist

Oded Zinman

Research Scientist

Omer Geiger

Team Lead

Or Levi

Research Scientist

Pavel Petrov

Research Scientist

Sharon Hirsch

Intern

Slava Novgordov

Research Scientist

Tom Falk

Research Scientist

Uriel Singer

Intern

Yan Radovilsky

Research Scientist

Yotam Eshel

Research Scientist

Adi Yablonka

Research Scientist

Nave Frost

Research Scientist

Ido Ben-Shaul

Research Scientist

Publications
An Image is Worth a Thousand Terms? Analysis of Visual E-Commerce Search
Arnon Dagan, Ido Guy, Slava Novgorodov
SIGIR 2021 - July 2021, Montreal, Canada
PreSizE: Predicting Size in E-Commerce using Transformers
Yotam Eshel, Or Levi, Haggai Roitman, Alexander Nus
SIGIR 2021 - July 2021, Montreal, Canada, 2021
Automatic Form Filling with Form-BERT
Gilad Fuchs, Haggai Roitman, Matan Mandelbrod:
SIGIR 2021 - July 2021, Montreal, Canada, 2021
Improving Constrained Search Results By Data Melioration
Ido Guy, Tova Milo, Slava
Novgorodov, Brit Youngmann

ICDE' 21 April 2021 , Chania, Greece
ConCaT: Construction of Category Trees from Search Queries in ECommerce
Uri Avron, Shay Gershtein, Ido Guy, Tova Milo, Slava Novgorodov
ICDE' 21 April 2021 , Chania, Greece
Category Recognition in E-Commerce using Sequence-to-Sequence Hierarchical Classification
Idan Hasson, Slava Novgorodov, Gilad Fuchs, Yoni Acriche
WSDM'21 – March 2021, Jerusalem, Israel
Generating Tips from Product Reviews
Sharon Hirsch, Slava Novgorodov, Ido Guy, Alexander Nus
WSDM'21 – March 2021, Jerusalem, Israel
Event-driven Query Expansion
Guy Rosin, Ido Guy, Kira Radinsky
WSDM'21 – March 2021, Jerusalem, Israel
Descriptions from the Customers: Comparative Analysis of Review-based Product Description Generation Methods
Slava Novgorodov, Ido Guy, Guy Elad, Kira Radinsky
ACM Transactions on Internet Technology, Vol. 20, Issue 4, Article 44 (October 2020)
Intent-Driven Similarity in E-Commerce Listings
Gilad Fuchs, Yoni Acriche, Idan Hass on, Pavel Petrov
CIKM’20 – October 2020, Galway, Ireland
E-Commerce Dispute Resolution Prediction
David Tsurel, Michael Doron, Alexander Nus, Arnon Dagan, Ido Guy, Dafna Shahaf
CIKM’20 – October 2020, Galway, Ireland
tdGraphEmbed: Temporal Dynamic Graph-Level Embedding
Moran Beladev, Lior Rokach, Gilad Katz, Ido Guy, Kira Radinsky
CIKM’20 – October 2020, Galway, Ireland
CONCIERGE: Improving Constrained Search Results by Data Melioration
Ido Guy, Tova Milo, Slava Novgorodov, Brit Youngmann
VLDB’20 – August 2020, Tokyo, Japan
Product Bundle Identification using Semi-Supervised Learning
Hen Tzaban, Ido Guy, Asnat Greenstein-Messica, Arnon Dagan, Lior Rokach, Bracha Shapira
SIGIR’20 – July 2020, Xi’an, China
Query Reformulation in E-Commerce Search
Sharon Hirsch, Ido Guy, Alexander Nus, Arnon Dagan, Oren Kurland
SIGIR’20 – July 2020, Xi’an, China
MC3: A System for Minimization of Classifier Construction Cost
Shay Gershtein, Tova Milo, Gefen Morami, Slava Novgorodov
SIGMOD’20 – June 2020, Portland, Oregon, USA
Minimization of Classifier Construction Cost for Search Queries
Shay Gershtein, Tova Milo, Gefen Morami, Slava Novgorodov
SIGMOD’20 – June 2020, Portland, Oregon, USA
Inventory Reduction via Maximal Coverage in E-Commerce
Shay Gershtein, Tova Milo, Slava Novgorodov
EDBT’20 – March 2020, Copenhagen, Denmark
Cross-Cultural Transfer Learning for Text Classification
Dor Ringel, Gal Lavee, Ido Guy, Kira Radinsky
EMNLP’19 – November 2019, Hong Kong, China
Learning to Generate Personalized Product Descriptions
Guy Elad, Ido Guy, Slava Novgorodov, Benny Kimelfeld, Kira Radinsky
CIKM’19 – November 2019, Beijing, China
ReducE-Comm: Effective Inventory Reduction System for E-Commerce
Shay Gershtein, Tova Milo, Slava Novgorodov
CIKM’19 – November 2019, Beijing, China
Node Embedding over Temporal Graphs
Uriel Singer, Ido Guy, Kira Radinsky
IJCAI’19 – August 2019, Macao, China
Generating Product Descriptions from User Reviews
Slava Novgorodov, Ido Guy, Guy Elad, Kira Radinsky
The Web Conference ’19 – May 2019, San Francisco, California, USA
Query Driven Data Labeling with Experts: Why Pay Twice?
Eyal Dushkin, Shay Gershtein, Tova Milo, Slava Novgorodov
EDBT’19 – March 2019, Lisbon, Portugal
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Join our team

We’re currently looking to fill the following positions for our Research Group: