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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
5836
Venue
SIGMOD
Year
2020
Pagerank
4.7180617e-05
Overall Rank
7,499 | 47.84%
DOI
10.1145/3318464.3384404

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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
4,635 Mining Precision Interfaces From Query Logs 2019 SIGMOD 6.033398e-05
4,877 Precision Interfaces for Different Modalities 2018 SIGMOD 5.8593569e-05
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