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Stephen E. Robertson (1946) es un programador e informatólogo británico. Junto a Karen Spärck Jones diseñó el modelo probabilístico de recuperación de información.
4 de abr. de 2024 · Scale and Narrative: Conceiving a Long-form Digital Argument for Data-driven Microhistory. My chapter “Scale and Narrative: Conceiving a Long-form Digital Argument for Data-driven Microhistory” has appeared in Zoomland: Exploring Scale in Digital History and Humanities, an. More... December 28, 2023. Article.
Stephen Robertson is a British computer scientist. He is known for his work on probabilistic information retrieval together with Karen Spärck Jones and the Okapi BM25 weighting model.
21 de nov. de 2022 · This article offers a definition of digital history that focuses on the core affordances of the personal computer and the process by which those properties come to be exploited. I begin by outlining the two properties of computers that I argue define digital history: they process data and (as Janet H. Murray noted) provide an ...
Articles 1–20. Department of History & Art History, George Mason University - Cited by 980 - U.S. History - American history - legal history - history of sexuality - digital history.
The Probabilistic Relevance Framework (PRF) is a formal framework for document retrieval, grounded in work done in the 1970-80s, which led to the development of one of the most successful text-retrieval algorithms, BM25.
I'm now retired from paid work, but I am still a visiting Professor at University College London, Department of Computer Science. I spent 15 years, from 1998 to 2013, as a researcher at the Microsoft Research Laboratory in Cambridge (England, that is).
