Frei, H.P.; Schäuble, P.: Determining the effectiveness of retrieval algorithms (1991)
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- Abstract
- A new effectiveness measure ('usefulness measure') is proposed to circumvent the problems associated with the classical recall and precision measures. It is difficult to evaluate systems that filter extremly dynamic information; the determination of all relevant dodcuments in a real life collection is hardly affordable, and the specification of binary relevance assessments is often problematic. The new measure relies on an statistical approach with which two retrieval algorithms are compared. In contrast to the classical recall and precision measures, the new measure requires only relative judgments, and the reply of the retrieval system os compared directly with the information need of the user rather than with the query. The new measure has the added ability to determine an error probability that indicates haw stable the usefulness measure is. Using a test collection of abstracts from CACM, it is shown that our new measure is also capable of disclosing the effect of manually assigned descriptors and yields a results similar to that of the traditional recall and precision measures.
