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Combining fuzzy information from multiple systems, IBM
, 1995
"... In a traditional database system, the result of a query is a set of values (those values that satisfy the query). In other data servers, such as a system with queries baaed on image content, or many text retrieval systems, the result of a query is a sorted list. For example, in the case of a system ..."
Abstract

Cited by 331 (6 self)
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In a traditional database system, the result of a query is a set of values (those values that satisfy the query). In other data servers, such as a system with queries baaed on image content, or many text retrieval systems, the result of a query is a sorted list. For example, in the case of a system with queries based on image content, the query might aak for objects that are a particular shade of red, and the result of the query would be a sorted list of objects in the database, sorted by how well the color of the object matches that given in the query. A multimedia system must somehow synthesize both types of queries (those whose result is a set, and those whose result is a sorted list) in a consistent manner. In this paper we discuss the solution adopted by Garlic, a multimedia information system being developed at
A Formula for Incorporating Weights into Scoring Rules
 Theoretical Computer Science
, 1998
"... A "scoring rule" is an assignment of a value to every tuple (of varying sizes). This paper is concerned with the issue of how to modify a scoring rule to apply to the case where weights are assigned to the importance of each argument. We give an explicit formula for incorporating weights that can be ..."
Abstract

Cited by 16 (1 self)
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A "scoring rule" is an assignment of a value to every tuple (of varying sizes). This paper is concerned with the issue of how to modify a scoring rule to apply to the case where weights are assigned to the importance of each argument. We give an explicit formula for incorporating weights that can be applied no matter what the underlying scoring rule is. The formula is surprisingly simple, in that it involves far fewer terms than one might have guessed. It has three further desirable properties. The first desirable property is that when all of the weights are equal, then the result is obtained by simply using the underlying scoring rule. Intuitively, this says that when all of the weights are equal, then this is the same as considering the unweighted case. The second desirable property is that if a particular argument has zero weight, then that argument can be dropped without affecting the value of the result. The third desirable property is that the value of the result is a continuous ...