Interactive tools like user interfaces help democratize data access for end-users by hiding underlying programming details and exposing the necessary widget interface to users. Since customized interfaces are costly to build, automated interface generation is desirable. SQL is the dominant way to analyze data and there already exists logs to analyze data. Previous work proposed a syntactic approach to analyze structural changes in SQL query logs and automatically generates a set of widgets to express the changes. However, they do not consider layout usability and the sequential order of queries in the log. We propose to adopt Monte Carlo Tree Search(MCTS) to search for the optimal interface that accounts for hierarchical layout as well as the usability in terms of how easy to express the query log.

中文翻译：

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生成交互式数据分析界面的蒙特卡罗树搜索

用户界面等交互工具通过隐藏底层编程细节并向用户公开必要的小部件界面，帮助最终用户实现数据访问的民主化。由于定制界面的构建成本很高，因此需要自动生成界面。SQL是分析数据的主要方式，并且已经存在用于分析数据的日志。以前的工作提出了一种语法方法来分析 SQL 查询日志中的结构变化，并自动生成一组小部件来表达变化。但是，他们没有考虑布局可用性和日志中查询的顺序。我们建议采用蒙特卡洛树搜索 (MCTS) 来搜索考虑层次布局以及在表达查询日志的容易程度方面的可用性的最佳界面。