Guided Exploration of User Groups
Summary: Formalizes guided exploration of user groups as an iterative decision-making process to locate targets; agent selects from groups to advance. RL yields a transferable, interpretable exploration policy across datasets without logs. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Mariia Seleznova (Technical University of Berlin)
- 2. Behrooz Omidvar-Tehrani (NAVER LABS Europe)
- 3. Sihem Amer-Yahia (National Centre for Scientific Research; University of Grenoble)
- 4. Eric Simon (SAP)
BibTeX Citation
@article{seleznova_vldb20,
title = {{Guided Exploration of User Groups}},
author = {Seleznova, Mariia and Omidvar-Tehrani, Behrooz and Amer-Yahia, Sihem and Simon, Eric},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {9},
pages = {1469--1482},
doi = {10.14778/3397230.3397242},
url = {https://doi.org/10.14778/3397230.3397242},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,173 | Guided Exploration of Data Summaries | 2022 | VLDB | 5.578213e-05 |
| 8,375 | FEDEX: An Explainability Framework for Data Exploration Steps | 2022 | VLDB | 5.3280107e-05 |
| 9,483 | Intelligent Agents for Data Exploration | 2024 | VLDB | 5.1567657e-05 |
| 11,303 | Holistic query Approximation via RL Modeling | 2025 | VLDB | 4.9605343e-05 |
| 11,919 | Cooperative Route Planning Framework for Multiple Distributed Assets in Maritime Applications | 2022 | SIGMOD | 4.9605343e-05 |
| 11,950 | EDA4SUM: Guided Exploration of Data Summaries | 2022 | VLDB | 4.9605343e-05 |
| 12,029 | Exploring Ratings in Subjective Databases | 2021 | SIGMOD | 4.9605343e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 864 | SnipSuggest: Context-Aware Autocompletion for SQL | 2011 | VLDB | 0.00013358173 |
| 2,057 | Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning | 2020 | SIGMOD | 9.0995439e-05 |
| 5,843 | FluxQuery: An Execution Framework for Highly Interactive Query Workloads | 2016 | SIGMOD | 5.9558503e-05 |
| 6,111 | Interactive Browsing and Navigation in Relational Databases | 2016 | VLDB | 5.8672641e-05 |
| 6,344 | New Trends on Exploratory Methods for Data Analytics | 2017 | VLDB | 5.7903641e-05 |
| 7,407 | Efficient Sentiment Correlation for Large-scale Demographics | 2013 | SIGMOD | 5.5170813e-05 |
| 9,477 | Who Tags What? An Analysis Framework | 2012 | VLDB | 5.1576703e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 12,197 | Data Pipelines for User Group Analytics | 2019 | SIGMOD |
| 2 | 4,526 | Optimization for Active Learning-based Interactive Database Exploration | 2019 | VLDB |
| 3 | 2,656 | Explore-by-Example: An Automatic Query Steering Framework for Interactive Data Exploration | 2014 | SIGMOD |
| 4 | 2,057 | Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning | 2020 | SIGMOD |
| 5 | 12,029 | Exploring Ratings in Subjective Databases | 2021 | SIGMOD |
| 6 | 7,173 | Guided Exploration of Data Summaries | 2022 | VLDB |
| 7 | 10,057 | The Data Interaction Game | 2018 | SIGMOD |
| 8 | 8,784 | Exploratory Training: When Annotators Learn About Data | 2023 | SIGMOD |
| 9 | 9,483 | Intelligent Agents for Data Exploration | 2024 | VLDB |
| 10 | 4,519 | Automating Exploratory Data Analysis via Machine Learning: An Overview | 2020 | SIGMOD |