ISR11 Relevance Feedback in an Information Retrieval System chapter W. Riddle T. Horwitz R. Dietz Harvard University Gerard Salton Use, reproduction, or publication, in whole or in part, is permitted for any purpose of the United States Government. VI-l5 Referenc Cs [1] Y. B. M[OCRerr]aron, and J. L. Kuhns, On Relevance, Probabilistic Indexing and Information Retrieval, Journal of the Association [OCRerr]or Computing [OCRerr][OCRerr]chinery, Vol. 17, No. 3, July 1960, pp 216-244. L2] J J Rocchio, Harvard University Doctoral Thesis, Report ISR-10, to the National Science Foundation, Chapters 3 and 4. [3] J J Rocchio and G. Salton, Search Optimization and Iterative Retrieval Techniques, Proceedings of the Fall Joint Computer CQnference Las Vegas, Nov. 1965. [2~] G. Salton, A Document Retrieval System for Man-Machine Interaction, Proceedings of the 19th National Conference, ACM Philadelphia, 1964, [OCRerr] L2.3-1 - L2.3-20. [5] G. Salton, The Bvaluation of A[OCRerr]omatic Retrieval Procedures - Selected Test Results Using the S[OCRerr]T. System, American Documentation, Vol. 16, No. 3, July 1965, pp 209-222. [6] G. Salton, Bvaluation of Computer[OCRerr]Ba5[OCRerr][OCRerr] Information Rtrieval Systems, FID Congress, October 1965. [7] G. Salton, Progress in Automatic Information R':trievai, IEBB Spectrum, Vol. 2, 1\To. 8, August 1965.