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
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,222 | Guided Exploration of Data Summaries | 2022 | VLDB | 4.797186e-05 |
| 8,388 | FEDEX: An Explainability Framework for Data Exploration Steps | 2022 | VLDB | 4.5297787e-05 |
| 9,219 | Intelligent Agents for Data Exploration | 2024 | VLDB | 4.3702863e-05 |
| 10,565 | Holistic query Approximation via RL Modeling | 2025 | VLDB | 4.1945683e-05 |
| 11,362 | Cooperative Route Planning Framework for Multiple Distributed Assets in Maritime Applications | 2022 | SIGMOD | 4.1945683e-05 |
| 11,394 | EDA4SUM: Guided Exploration of Data Summaries | 2022 | VLDB | 4.1945683e-05 |
| 11,474 | Exploring Ratings in Subjective Databases | 2021 | SIGMOD | 4.1945683e-05 |
Previous
Page 1 / 1
Next
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 |
|---|---|---|---|---|
| 1,009 | SnipSuggest: Context-Aware Autocompletion for SQL | 2011 | VLDB | 0.00014653644 |
| 1,993 | Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning | 2020 | SIGMOD | 9.8453334e-05 |
| 5,644 | FluxQuery: An Execution Framework for Highly Interactive Query Workloads | 2016 | SIGMOD | 5.3924275e-05 |
| 6,054 | Interactive Browsing and Navigation in Relational Databases | 2016 | VLDB | 5.2325754e-05 |
| 6,237 | New Trends on Exploratory Methods for Data Analytics | 2017 | VLDB | 5.1435341e-05 |
| 6,579 | Efficient Sentiment Correlation for Large-scale Demographics | 2013 | SIGMOD | 5.0034092e-05 |
| 9,100 | Who Tags What? An Analysis Framework | 2012 | VLDB | 4.3965818e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,653 | Data Pipelines for User Group Analytics | 2019 | SIGMOD | 4.1945683e-05 |
| 4,758 | Optimization for Active Learning-based Interactive Database Exploration | 2019 | VLDB | 5.9422515e-05 |
| 3,070 | Explore-by-Example: An Automatic Query Steering Framework for Interactive Data Exploration | 2014 | SIGMOD | 7.6137064e-05 |
| 1,993 | Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning | 2020 | SIGMOD | 9.8453334e-05 |
| 11,474 | Exploring Ratings in Subjective Databases | 2021 | SIGMOD | 4.1945683e-05 |
| 7,222 | Guided Exploration of Data Summaries | 2022 | VLDB | 4.797186e-05 |
| 9,696 | The Data Interaction Game | 2018 | SIGMOD | 4.3023337e-05 |
| 8,590 | Exploratory Training: When Annotators Learn About Data | 2023 | SIGMOD | 4.4896282e-05 |
| 9,219 | Intelligent Agents for Data Exploration | 2024 | VLDB | 4.3702863e-05 |
| 4,540 | Automating Exploratory Data Analysis via Machine Learning: An Overview | 2020 | SIGMOD | 6.1033443e-05 |