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The formalism of probability theory in IR: a foundation or an encumbrance?

. Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, page 242-247. Springer, (1994)

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Fact Retrieval and Deductive Question-Answering Information Retrieval Systems.. J. ACM, 11 (2): 117-137 (1964)Indexing documents by gedanken experimentation.. JASIS, 29 (3): 107-119 (1978)Exploiting the maximum entropy principle to increase retrieval effectiveness.. JASIS, 34 (1): 31-39 (1983)Utility-theoretic indexing: A note on Wilson's note.. JASIS, 30 (3): 170-172 (1979)The storage problem.. Mech. Transl. Comput. Linguistics, 5 (2): 74-83 (1958)Bridging the Gap Between AI and RI.. SIGIR, page 259-265. Cambridge University Press, on behalf of the British Computer Society (copyright by British Informatics Society Ltd, a subsidiary of the British Computer Society), (1984)Inconsistencies and Misnomers in Probabilistic IR.. SIGIR, page 57-61. ACM, (1991)Foundations of Probabilistic and Utility-Theoretic Indexing., and . J. ACM, 25 (1): 67-80 (1978)Stewardship Prompts to Improve Antibiotic Selection for Pneumonia: The INSPIRE Randomized Clinical Trial, , , , , , , , , and 30 other author(s). (2024)The Unified Probabilistic Model for IR., , and . SIGIR, volume 146 of Lecture Notes in Computer Science, page 108-117. Springer, (1982)