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Monte Carlo Tree Search for Generating Interactive Data Analysis Interfaces

Summary: Proposes a top-down, search-based method that encodes both query ASTs and UI layout in a single difftree. Uses Monte Carlo Tree Search to explore the huge search space and optimize a joint cost over layout, widgets, and multi-step inputs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5898
Venue
SIGMOD
Year
2020
Pagerank
5.5181056e-05
Overall Rank
7,921 | 45.66%
DOI
10.1145/3318464.3384404

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chen_sigmod20,
        title = {{Monte Carlo Tree Search for Generating Interactive Data Analysis Interfaces}},
        author = {Chen, Yiru},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3384404},
        url = {https://dl.acm.org/doi/10.1145/3318464.3384404},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
4,904 Mining Precision Interfaces From Query Logs 2019 SIGMOD 6.4503063e-05
5,621 Precision Interfaces for Different Modalities 2018 SIGMOD 6.1472303e-05
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