The deep web contains an order of magnitude more information than the surface web, but that information is hidden
behind the web forms of a large number of web sites. Meta-search engines can help users explore this information by
aggregating results from multiple resources, but previously these could only be created and maintained by programmers.
In this paper, we explore the automatic creation of meta-search mash-ups by mining the web interactions of multiple
web users to find relations between query forms on different web sites. We also present an implemented system called
TX2 that uses those connections to search multiple deep web resources simultaneously and integrate the results in context in a single results page. TX2 illustrates the promise of constructing mash-ups automatically and the potential of mining web interactions to explore deep web resources.