Something to do with probability
DOI:
https://doi.org/10.54195/irrj.26692Keywords:
Probability theory, Bayesian statisticsAbstract
I’m very pleased to write an editorial for IRRJ. It’s great to see it into its second year of publication. It’s a worthy successor to the Information Retrieval Journal that Paul Kantor and I started many years ago. In the history of information retrieval, probabilistic models have a role to play, and in my research career, I have made use of them. The story I’m going to tell here has probability as one of its themes. That statement might make it sound like an abstract theoretical treatise, and I shall start that way, but actually its core is a very human story about the life and death of a colourful but flawed character who made a fortune as an entrepreneur, came near to losing it all, seemed to overcome potential disaster against the odds in 2024, and then in the same year died the most ridiculously unlikely death. I had a brief but interesting encounter with him in 2001.
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References
M.E. Maron and J.L. Kuhns. On relevance, probabilistic indexing and information retrieval. Journal of the Association for Computing Machinery, 7, 216-244, 1960.
S.E. Robertson and K. Spärck Jones. Relevance weighting of search terms. Journal of the American Society for Information Science, 27, 129-146, 1976.
S.P. Harter. A probabilistic approach to automatic keyword indexing (parts 1 and 2). Journal of the American Society for Information Science, 26, 197-206 and 280-289, 1975.
M.F. Porter. An algorithm for suffix stripping. Program, 14, 130-137, 1980.
K. Prescott. The Curious Case of Mike Lynch: The Improbable Life & Death of a Tech Billionaire. Macmillan Business, 2025.
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Copyright (c) 2026 Stephen E. Robertson (Author)

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