A Comparison of Two Methods For Soft Boolean Operator Interpretation In Information Retrieval
1986) A Comparison of Two Methods For Soft Boolean Operator Interpretation In Information Retrieval. Technical Report TR-86-01, Computer Science, Virginia Polytechnic Institute and State University. (
Information retrieval systems generally are given Boolean logic queries by users or search intermediaries, in order that an efficient and effective search for relevant documents can be automatically carried out. Previous work with an extended interpretation of Boolean queries has shown that a dramatic improvement in search effectiveness results. Using the P-norm to compute distance from the ideal points in a multi-dimensional space of truth values leads to best results .1 values are on the order of 1 to 4. Other schemes besides the P-norm approach have been proposed in recent years. This paper describes experimental studies aimed at evaluating one family of such methods. In particular, a parameterized fuzzy-logic approach is contrasted with the norm interpretation. Regression analysis supports expected results of parameter settings and gives further insight into why the P-norm scheme is superior.
|Item Type:||Departmental Technical Report|
|Keywords:||Boolean retrieval, fuzzy sets, pnorm retrieval|
|Subjects:||Computer Science > Historical Collection(Till Dec 2001)|
|Deposited By:||User autouser|
|Deposited On:||13 October 2005|