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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)

Paper ID
11199
Venue
VLDB
Year
2015
Pagerank
6.9739437e-05
Overall Rank
3,984 | 72.67%
DOI
10.14778/2809974.2809992

Incoming Non-self Citations Over Time

Authors

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}
}

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