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 is closely collaborating with leading universities in Israel:
Technion, Tel Aviv University, The Hebrew University of Jerusalem and Ben-Gurion University of the Negev

                      

Recent news:
Two SIGIR’20, two SIGMOD’20, VLDB’20 and three CIKM’20 papers were accepted!

We are hiring!


Meet the Team

Research Director and Chief Scientist

Ido Guy

Ido Guy

Team Leads

Alex Nus

Alex Nus

Yoni Acriche

Yoni Acriche

Researchers

Arnon Dagan

Arnon Dagan

Yotam Eshel

Yotam Eshel

Tom Falk

Tom Falk

Greg Goren

Greg Goren

Gilad Fuchs

Gilad Fuchs

Idan Hasson

Idan Hasson

Gal Lavee

Gal Lavee

Or Levi

Or Levi

Maytal Messing

Maytal Messing

Slava Novgorodov

Slava Novgorodov

Pavel Petrov

Pavel Petrov

Yan Radovilsky

Yan Radovilsky

Haggai Roitman

Haggai Roitman

Oded Zinman

Oded Zinman

Interns

Sharon Hirsch

Sharon Hirsch

Guy Rosin

Guy Rosin


Publications

Intent-Driven Similarity in E-Commerce Listings [paper]
Gilad Fuchs, Yoni Acriche, Idan Hasson, Pavel Petrov
CIKM’20 – October 2020, Galway, Ireland

E-Commerce Dispute Resolution Prediction [paper]
David Tsurel, Michael Doron, Alexander Nus, Arnon Dagan, Ido Guy, Dafna Shahaf
CIKM’20 – October 2020, Galway, Ireland

tdGraphEmbed: Temporal Dynamic Graph-Level Embedding [paper]
Moran Beladev, Lior Rokach, Gilad Katz, Ido Guy, Kira Radinsky
CIKM’20 – October 2020, Galway, Ireland

CONCIERGE: Improving Constrained Search Results by Data Melioration [paper]
Ido Guy, Tova Milo, Slava Novgorodov, Brit Youngmann
VLDB’20 – August 2020, Tokyo, Japan

Product Bundle Identification using Semi-Supervised Learning [paper]
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 [paper]
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 [paper]
Shay Gershtein, Tova Milo, Gefen Morami, Slava Novgorodov
SIGMOD’20 – June 2020, Portland, Oregon, USA

Minimization of Classifier Construction Cost for Search Queries [paper]
Shay Gershtein, Tova Milo, Gefen Morami, Slava Novgorodov
SIGMOD’20 – June 2020, Portland, Oregon, USA

Inventory Reduction via Maximal Coverage in E-Commerce [paper]
Shay Gershtein, Tova Milo, Slava Novgorodov
EDBT’20 – March 2020, Copenhagen, Denmark

Cross-Cultural Transfer Learning for Text Classification [paper]
Dor Ringel, Gal Lavee, Ido Guy, Kira Radinsky
EMNLP’19 – November 2019, Hong Kong, China

Learning to Generate Personalized Product Descriptions [paper]
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 [paper]
Shay Gershtein, Tova Milo, Slava Novgorodov
CIKM’19 – November 2019, Beijing, China

Node Embedding over Temporal Graphs [paper]
Uriel Singer, Ido Guy, Kira Radinsky
IJCAI’19 – August 2019, Macao, China

Generating Product Descriptions from User Reviews [paper]
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? [paper]
Eyal Dushkin, Shay Gershtein, Tova Milo, Slava Novgorodov
EDBT’19 – March 2019, Lisbon, Portugal


Join us