- 1 Lancaster, F.W. and Fayen, E.G. Information Retrieval On-Line. Melville Publishing Co., Los Angeles, California, 1973.Google Scholar
- 2 Lancaster, F.W. Information Retrieval Systems: Characteristics, Testing and Evaluation. 2nd Ed., John Wiley and Sons, New York, 1979.Google Scholar
- 3 Salton, G. Automatic Information Organization and Retrieval. Mc- Graw-Hill Book Co., New York, 1968. Google ScholarDigital Library
- 4 Salton, G. Ed. The Smart Retrieval System--Experiments in Automatic Document Processing. Prentice Hall, Inc. Englewood Cliffs, New Jersey. 1971. Google ScholarDigital Library
- 5 Noreault, T., Koll. M., and McGill, M.J. Automatic ranked output from Boolean searches in SIRE. l ASIS. 28, 6, (Nov. 1977), 333-339.Google Scholar
- 6 Bookstein. A. A comparison of two systems of weighted Boolean retrieval. J. ASIS. 32, 4, (July 1981), 275-279.Google ScholarCross Ref
- 7 Bookstein. A. Fuzzy requests: An approach to weighted Boolean searches. J. ASIS. 31, 4, (July 1980), 240-247.Google ScholarCross Ref
- 8 Waller, W.G. and Kraft, D.H. A mathematical model for a weighted Boolean retrieval system. Information Processing and Management, 15, 5, (1979). 235-245.Google ScholarCross Ref
- 9 Buell, D.A., and Kraft, D.H. Threshold values and Boolean retrieval systems. Information Processing and Management, 17, 3, (1981), 127- 136.Google ScholarDigital Library
- 10 Ortega, J.M. Numerical Analysis. Academic Press, New York, 1977.Google Scholar
- 11 Bartle, R.G. The Elements of Integration. J. Wiley and Sons, New York, 1966.Google Scholar
- 12 Wn, H. On query formulation in information retrieval. Doctoral Dissertation, Cornell University, Ithaca, New York, January 1981.Google Scholar
- 13 Salton, G. A Theory of Indexing. Regional Conference Series in Applied Mathematics, No. 18, Society for Industrial and Applied Mathematics, Philadelphia, Pennsylvania, February 1975. Google ScholarDigital Library
- 14 Salton, G. On the role of words and phrases in automatic text analysis. Computers and the Humanities, 19, 2, (March-April 1976), 69-15.Google Scholar
- 15 Salton, G., Wong, A., and Yu, C.T. Automatic indexing using term discrimination and term precision measurements. Information Processing and Management. 12, 1, (1976), 43-51.Google ScholarCross Ref
- 16 Salton, G., Wu, H., and Yu, C.T. The measurement of term importance in automatic indexing. J ASIS, 32, 3, (May 1981), 175-186.Google Scholar
- 17 Rocchio, Jr., J.J. Relevance feedback in information retrieval. In The Smart System--Experiments in Automatic Document Processing. G. Salton, Ed. Prentice Hall, Englewood Cliffs, New Jersey, 1971.Google Scholar
- 18 Ide, E., and Salton, G. Interactive search strategies and dynamic file organization in information retrieval. In The Smart System--Experiments in Automatic Document Processing. G. Salton, Ed., Prentice Hall, Englewood Cliffs, New Jersey, 1971.Google Scholar
- 19 Robertson, S.E., and Sparck Jones, K. Relevance weighting of search terms, l ASIS. 27, 3, (May-June 1976), 129-146.Google Scholar
- 20 Yu, C.T., and Salton, G. Precision weighting--An effective automatic indexing method, l ACM. 23, 1, (January 1976), 76-88. Google ScholarDigital Library
- 21 Sparck Jones, K. Experiments in relevance weighting of search terms. Information Processing and Management. 15, 3, (1979), 133-144.Google Scholar
- 22 Dillon, M., and Desper, J. The use of automatic relevance feedback in Boolean retrieval systems. Journal of Documentation. 36, 3, (Sept. 1980), 197-208.Google ScholarCross Ref
- 23 Sparck Jones, K. A statistical interpretation of term specificity and its application in retrieval. Journal of Documentation. 28, 1, (March 1972), 11-21.Google ScholarCross Ref
- 24 Katzer, J., McGilI, M.J., Tessier, J.A., Frakes, W., and DasGupta, P. A Study of the Overlap Among Document Representations. Technical Report, School of Information Studies, Syracuse University, 1982.Google Scholar
- 25 Salton, G. A comparison between manual and automatic indexing methods. American Documentation. 20, 1, (Jan. 1969), 61-71.Google ScholarCross Ref
- 26 Salton, G. A new comparison between conventional indexing (Medlars) and automatic text processing (Smart). J. ASIS. 23, 2, (March-April 1972), 75-84.Google ScholarCross Ref
- 27 Salton, G., Buckley, C., Fox, E.A., and Voorhees, E. Boolean Query Formulation with Relevance Feedback. Technical Report TR 83-539, Department of Computer Science, Cornell University, Ithaca, New York, January 1983. Google ScholarDigital Library
- 28 Salton, G., Buckley, C., and Fox, E,A. Automatic Query Formulations in Information Retrieval. Journal of the ASIS. 34, 4, (July 1983), 262- 280.Google Scholar
Index Terms
- Extended Boolean information retrieval
Recommendations
Incorporating rich features to boost information retrieval performance
Research highlights We propose a regression-based re-ranking framework that can take into account rich features for boosting information retrieval (IR) performance. A set of salient features that may affect IR performance are investigated. Extensive ...
Exploration of query context for information retrieval
WWW '07: Proceedings of the 16th international conference on World Wide WebA number of existing information retrieval systems propose the notion of query context to combine the knowledge of query and user into retrieval to reveal the most exact description of user's information needs. In this paper we interpret query context ...
Information retrieval with concept-based pseudo-relevance feedback in MEDLINE
Although using domain specific knowledge sources for information retrieval yields more accurate results compared to pure keyword-based methods, more improvements can be achieved by considering both relations between concepts in an ontology and also their ...
Comments