The ever-increasing pace of scientific publication necessitates methods for quickly identifying relevant papers. While neural recommenders trained on user interests can help, they still result in long, monotonous lists of suggested papers. To improve the discovery experience we introduce multiple new methods for augmenting recommendations with textual relevance messages that highlight knowledge-graph connections between recommended papers and a user’s publication and interaction history. We explore associations mediated by author entities and those using citations alone. In a large-scale, real-world study, we show how our approach significantly increases engagement—and future engagement when mediated by authors—without introducing bias towards highly-cited authors. To expand message coverage for users with less publication or interaction history, we develop a novel method that highlights connections with proxy authors of interest to users and evaluate it in a controlled lab study. Finally, we synthesize design implications for future graph-based messages.

Abstract Environmental regulation has been recognized as an important way to directly improve environmental performance or indirectly impact environmental performance through increasing environmental innovation. The present paper constructs an energy and carbon emission total factor productivity index using the Malmquist–Luenberger productivity index and data envelopment analysis. The proposed technique is used to measure the environmental performance of 30 Chinese provinces during the period 2010–2015. The energy and carbon emission total factor productivity measure is divided into a pure technical efficiency index and a technical progress index to provide detailed environmental performance information. Then an ordinary least squares model is adopted to analyse the impact of environmental regulation on environmental innovation operation and environmental performance by hypothesis testing. The empirical results show that environmental regulation and environmental innovation have positive direct effects on environmental performance and that market‐based environmental regulation has a positive indirect effect on environmental performance by increasing environmental innovation.