“The way materials are archived and organized shapes knowledge production (Derrida, J. Archive Fever: A Freudian Impression. Vancouver: University of Chicago Press, 1996; Foucault, M. L’archéologie du savoir. Paris, France: Éditions Gallimard, 1969; Kramer, M. Going meta on metadata. Journal of Digital Humanities, 3(2), 2014; Hart, T. How do you archive the sky? Archive Journal, 5, 2015; Taylor, D. Save As. e-misférica, 9, 2012). We argue that recommender systems offer an opportunity to discover new humanistic interpretative possibilities. We can do so by building new metadata from text and images for recommender systems to reorganize and reshape the archive. In the process, we can remix and reframe the archive allowing users to mine the archive in multiple ways while making visible the organizing logics that shape interpretation. To show how recommender systems can shape the digital humanities, we will look closely at how they are used in digital media and then applied to the digital humanities by focusing on the Photogrammar project, a Web platform showcasing US government photography from 1935 to 1945.”
Knowledge creation through recommender systems
Another scholarship is Knowledge creation through recommender systems. The goals which are focusing on utilizing photographs to gain deeper insights into a specific era and exploring cities and towns for localized understanding, are in line with the objectives of digital humanities. Digital humanities often involve using digital tools and methodologies to study cultural artifacts, such as photographs, to gain insights into human experiences and societies. Therefore, the emphasis on leveraging images to enhance understanding aligns with the interdisciplinary approach of digital humanities.
