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The increasing number of academic papers published each year has led to a growing demand of organizing the papers into different categories according to their topics and analyzing topic trends over time. Domain knowledge such as journal categories and conference sessions are potentially useful for categorizing papers and obtaining trends easily interpretable to users. In this paper, we aim to organize...
We propose a new system for facilitating the co-creation of conference tracks through data analytics and human knowledge. The system attempts to learn track representations based on a topic-track matching framework, infer historical track representations by topic evolution paths and investigate the evolution of track representations to figure out track trends. We thus aim to develop a data-driven...
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