| 2026 | EDBT | Automating Efficient Data Collection through the Synergy of Agentic AI and Active Learning. | Yael Einy, Guy Dar, Slava Novgorodov, Tova Milo, Nave Frost |
| 2025 | WWW | Graph Meets LLM for Review Personalization based on User Votes. | Sharon Hirsch, Lilach Zitnitski, Slava Novgorodov, Ido Guy, Bracha Shapira |
| 2025 | SIGMOD | Sentence to Model: Cost-Effective Data Collection LLM Agent. | Yael Einy, Guy Dar, Slava Novgorodov, Tova Milo |
| 2023 | EDBT | Efficiently Archiving Photos under Storage Constraints. | Susan B. Davidson, Shay Gershtein, Tova Milo, Slava Novgorodov, May Shoshan |
| 2022 | ICDT | On the Hardness of Category Tree Construction. | Shay Gershtein, Uri Avron, Ido Guy, Tova Milo, Slava Novgorodov |
| 2022 | SIGMOD | Automated Category Tree Construction in E-Commerce. | Uri Avron, Shay Gershtein, Ido Guy, Tova Milo, Slava Novgorodov |
| 2022 | SIGMOD | Classifier Construction Under Budget Constraints. | Shay Gershtein, Tova Milo, Slava Novgorodov, Kathy Razmadze |
| 2021 | EDBT | Fixing Wikipedia Interlinks Using Revision History Patterns. | Tova Milo, Slava Novgorodov, Kathy Razmadze |
| 2021 | ICDE | ConCaT: Construction of Category Trees from Search Queries in E-Commerce. | Uri Avron, Shay Gershtein, Ido Guy, Tova Milo, Slava Novgorodov |
| 2021 | ICDE | Improving Constrained Search Results By Data Melioration. | Ido Guy, Tova Milo, Slava Novgorodov, Brit Youngmann |
| 2021 | SIGIR | An Image is Worth a Thousand Terms? Analysis of Visual E-Commerce Search. | Arnon Dagan, Ido Guy, Slava Novgorodov |
| 2021 | WSDM | Category Recognition in E-Commerce using Sequence-to-Sequence Hierarchical Classification. | Idan Hasson, Slava Novgorodov, Gilad Fuchs, Yoni Acriche |
| 2021 | WSDM | Generating Tips from Product Reviews. | Sharon Hirsch, Slava Novgorodov, Ido Guy, Alexander Nus |
| 2020 | EDBT | Inventory Reduction via Maximal Coverage in E-Commerce. | Shay Gershtein, Tova Milo, Slava Novgorodov |
| 2020 | SIGMOD | Minimization of Classifier Construction Cost for Search Queries. | Shay Gershtein, Tova Milo, Gefen Morami, Slava Novgorodov |
| 2020 | SIGMOD | MC3: A System for Minimization of Classifier Construction Cost. | Shay Gershtein, Tova Milo, Gefen Morami, Slava Novgorodov |
| 2019 | CIKM | Learning to Generate Personalized Product Descriptions. | Guy Elad, Ido Guy, Slava Novgorodov, Benny Kimelfeld, Kira Radinsky |
| 2019 | CIKM | ReducE-Comm: Effective Inventory Reduction System for E-Commerce. | Shay Gershtein, Tova Milo, Slava Novgorodov |
| 2019 | EDBT | Query Driven Data Labeling with Experts: Why Pay Twice? | Eyal Dushkin, Shay Gershtein, Tova Milo, Slava Novgorodov |
| 2019 | WWW | Generating Product Descriptions from User Reviews. | Slava Novgorodov, Guy Elad, Ido Guy, Kira Radinsky |
| 2018 | EDBT | Interactive Rule Refinement for Fraud Detection. | Tova Milo, Slava Novgorodov, Wang-Chiew Tan |
| 2018 | ICDE | Rule Sharing for Fraud Detection via Adaptation. | Ariel Jarovsky, Tova Milo, Slava Novgorodov, Wang-Chiew Tan |
| 2017 | ICDE | DANCE: Data Cleaning with Constraints and Experts. | Ahmad Assadi, Tova Milo, Slava Novgorodov |
| 2015 | CIDR | Managing General and Individual Knowledge in Crowd Mining Applications. | Yael Amsterdamer, Susan B. Davidson, Anna Kukliansky, Tova Milo, Slava Novgorodov, Amit Somech |
| 2015 | ESA | The Temp Secretary Problem. | Amos Fiat, Ilia Gorelik, Haim Kaplan, Slava Novgorodov |
| 2015 | SIGMOD | Query-Oriented Data Cleaning with Oracles. | Moria Bergman, Tova Milo, Slava Novgorodov, Wang Chiew Tan |
| 2014 | SIGMOD | OASSIS: query driven crowd mining. | Yael Amsterdamer, Susan B. Davidson, Tova Milo, Slava Novgorodov, Amit Somech |
| 2013 | ICDE | CrowdPlanr: Planning made easy with crowd. | Ilia Lotosh, Tova Milo, Slava Novgorodov |
| 2012 | ICDE | Asking the Right Questions in Crowd Data Sourcing. | Rubi Boim, Ohad Greenshpan, Tova Milo, Slava Novgorodov, Neoklis Polyzotis, Wang Chiew Tan |
| 2011 | CIKM | Diversification and refinement in collaborative filtering recommender. | Rubi Boim, Tova Milo, Slava Novgorodov |
| 2011 | ICDE | DiRec: Diversified recommendations for semantic-less Collaborative Filtering. | Rubi Boim, Tova Milo, Slava Novgorodov |