Learning User Preferences By Adaptive Pairwise Comparison
Summary: Learns user-specific preferences over multi-attribute entities from adaptively selected pairwise comparisons, using orthogonal queries and an S-tree index to drive binary-search selection. Outperforms random querying and prior methods on real and synthetic data with interactive query performance. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Li Qian (University of Michigan)
- 2. Jinyang Gao (National University of Singapore)
- 3. H. V. Jagadish (University of Michigan)
BibTeX Citation
@article{qian_vldb15,
title = {{Learning User Preferences By Adaptive Pairwise Comparison}},
author = {Qian, Li and Gao, Jinyang and Jagadish, H. V.},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {11},
pages = {1322--1335},
doi = {10.14778/2809974.2809992},
url = {https://doi.org/10.14778/2809974.2809992},
year = {2015}
}
Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,191 | Exact Processing of Uncertain Top-k Queries in Multi-criteria Settings | 2018 | VLDB | 5.8388106e-05 |
| 6,780 | Marrying Top-k with Skyline Queries: Relaxing the Preference Input while Producing Output of Controllable Size | 2021 | SIGMOD | 5.6685383e-05 |
| 7,474 | Strongly Truthful Interactive Regret Minimization | 2019 | SIGMOD | 5.5026548e-05 |
| 8,375 | FEDEX: An Explainability Framework for Data Exploration Steps | 2022 | VLDB | 5.3280107e-05 |
| 9,020 | Creating Top Ranking Options in the Continuous Option and Preference Space | 2019 | VLDB | 5.2221152e-05 |
| 10,125 | On m-Impact Regions and Standing Top-k Influence Problems | 2021 | SIGMOD | 5.0638787e-05 |
| 10,126 | Interactive Search for One of the Top-k | 2021 | SIGMOD | 5.0638787e-05 |
| 11,636 | Robust Best Point Selection under Unreliable User Feedback | 2024 | VLDB | 4.9605343e-05 |
| 11,764 | rkHit: Representative Query with Uncertain Preference | 2023 | SIGMOD | 4.9605343e-05 |
| 11,934 | Interactive Mining with Ordered and Unordered Attributes | 2022 | VLDB | 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 |
|---|---|---|---|---|
| 2 | R-Trees: A Dynamic Index Structure For Spatial Searching | 1984 | SIGMOD | 0.0019892478 |
| 4 | The R*-tree: An Efficient and Robust Access Method for Points and Rectangles | 1990 | SIGMOD | 0.0011386412 |
| 56 | M-tree: An Efficient Access Method for Similarity Search in Metric Spaces | 1997 | VLDB | 0.0004024707 |
| 419 | PREFER: A System for the Efficient Execution of Multiparametric Ranked Queries | 2001 | SIGMOD | 0.00018558415 |
| 673 | Foundations of Preferences in Database Systems | 2002 | VLDB | 0.00014877371 |
| 1,162 | A Framework for Expressing and Combining Preferences | 2000 | SIGMOD | 0.00011729702 |
| 1,382 | Preference SQL - Design, Implementation, Experiences | 2002 | VLDB | 0.00010830552 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 1,162 | A Framework for Expressing and Combining Preferences | 2000 | SIGMOD |
| 2 | 9,753 | A Practical Theory of Generalization in Selectivity Learning | 2025 | VLDB |
| 3 | 419 | PREFER: A System for the Efficient Execution of Multiparametric Ranked Queries | 2001 | SIGMOD |
| 4 | 7,355 | Selectivity Functions of Range Queries are Learnable* | 2022 | SIGMOD |
| 5 | 9,020 | Creating Top Ranking Options in the Continuous Option and Preference Space | 2019 | VLDB |
| 6 | 13,842 | Supporting Hard Queries over Probabilistic Preferences | 2020 | VLDB |
| 7 | 9,207 | Determining the Impact Regions of Competing Options in Preference Space | 2017 | SIGMOD |
| 8 | 12,546 | Generating Top-k Packages via Preference Elicitation | 2014 | VLDB |
| 9 | 11,636 | Robust Best Point Selection under Unreliable User Feedback | 2024 | VLDB |
| 10 | 11,934 | Interactive Mining with Ordered and Unordered Attributes | 2022 | VLDB |