Confronted with the digitization of historical menus and motivated by the potentially valuable insights into history, researchers have recently focused on the content analysis of historical menus. Inspired by previous research, our objective is to reassemble and interpret historical menu network. In this paper, we develop a comprehensive historical menu network model, which integrates temporal, geographical, economic, and textual information into a graph representation. We conduct experiments on the basis of the menu collection of New York Public Library to uncover the interesting structures and patterns embedded in the network.
CITATION STYLE
Li, H., Hou, J., Chen, Y., & Liu, K. (2019). À la Carte: Turning Historical Menu into Menu Network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11799 LNCS, pp. 370–374). Springer Verlag. https://doi.org/10.1007/978-3-030-30760-8_36
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