A probabilistic approach to information retrieval in systems with boolean search request formulations

Up to the present a number of theoretical approaches has been developed in order to improve the effectiveness and/or efficiency of information retrieval. However, most of the information retrieval methods based on these approaches have never passed the stage of purely theoretical investigation, and experimentation, if carried out at all, has been very limited in scale. A closer examination of current theoretical developments and the present practice of information retrieval reveals that a combination of the existing theory of probabilistic retrieval into a practical methodology based on Boolean searches would be very promising. Such an extension of the probabilistic approach to information retrieval is outlined.

[1]  Abraham Bookstein,et al.  Fuzzy requests: An approach to weighted boolean searches , 1980, J. Am. Soc. Inf. Sci..

[2]  Tadeusz Radecki,et al.  Fuzzy set theoretical approach to document retrieval , 1979, Inf. Process. Manag..

[3]  Valiollah Tahani,et al.  A fuzzy model of document retrieval systems , 1976, Inf. Process. Manag..

[4]  Eugene Wong,et al.  Canonical structure in attribute based file organization , 1971, CACM.

[5]  T. Radecki,et al.  On the inclusiveness of information retrieval systems with documents indexed by weighted descriptors , 1981 .

[6]  Gerard Salton,et al.  Automatic Information Organization And Retrieval , 1968 .

[7]  Gerard Salton,et al.  Mathematics and Information Retrieval , 1979, J. Documentation.

[8]  Stephen E. Robertson,et al.  Relevance weighting of search terms , 1976, J. Am. Soc. Inf. Sci..

[9]  Tadeusz Radecki Similarity measures for boolean search request formulations , 1982, J. Am. Soc. Inf. Sci..

[10]  Abraham Bookstein,et al.  A comparison of two weighting schemes for Boolean retrieval , 1980, SIGIR '80.

[11]  Terry Noreault,et al.  Automatic ranked output from boolean searches in SIRE , 1977, J. Am. Soc. Inf. Sci..

[12]  J. J. Rocchio,et al.  Relevance feedback in information retrieval , 1971 .

[13]  Gerard Salton,et al.  Automatic Information Retrieval , 1980, Computer.

[14]  Nicholas J. Belkin,et al.  Ranking in Principle , 1978, J. Documentation.

[15]  Abraham Bookstein On the perils of merging boolean and weighted retrieval systems , 1978, J. Am. Soc. Inf. Sci..

[16]  Arthur Gill Applied algebra for the computer sciences , 1976 .

[17]  Van Rijsbergen,et al.  A theoretical basis for the use of co-occurence data in information retrieval , 1977 .

[18]  T. Radecki A MODEL OF A DOCUMENT RETRIEVAL SYSTEM BASED ON THE CONCEPT OF A SEMANTIC DISJUNCTIVE NORMAL FORM , 1981 .