Mining Precision Interfaces From Query Logs
Summary: Syntactic mining of precision interfaces from analysis logs; widgets are I(q)→q' and interfaces are the expressible queries. Analyzes structural changes to generate a tailored UI; scales to 10k queries in ≤10s, shown on SDSS logs for simple unanticipated tasks. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Qianrui Zhang
- 2. Haoci Zhang
- 3. Thibault Sellam
- 4. Eugene Wu
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,877 | Precision Interfaces for Different Modalities | 2018 | SIGMOD | 5.8593569e-05 |
| 5,560 | PI2: End-to-end Interactive Visualization Interface Generation from Queries | 2022 | SIGMOD | 5.4336252e-05 |
| 7,499 | Monte Carlo Tree Search for Generating Interactive Data Analysis Interfaces | 2020 | SIGMOD | 4.7180617e-05 |
| 10,366 | An Adaptive Benchmark for Modeling User Exploration of Large Datasets | 2025 | SIGMOD | 4.1945683e-05 |
| 11,460 | Demonstrating Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries | 2021 | SIGMOD | 4.1945683e-05 |
| 11,506 | Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries | 2021 | VLDB | 4.1945683e-05 |
| 11,586 | (Demo) Physical Visualization Design | 2020 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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