Inference networks for document retrieval
Inference networks for document retrieval
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
WWW-UDK: a web-based environmental meta-information system
ACM SIGMOD Record
Multimedia Systems
Improving automatic query expansion
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Web CDS—a Java based catalogue system for European environment data
Current trends in data management
Establishing a Taxonomy of Quality for Use in Information Filtering
BNCOD 19 Proceedings of the 19th British National Conference on Databases: Advances in Databases
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Users often quit an information retrieval system (IR system) very frustrated, because they cannot find the information matching their information needs. We have identified the following two main reasons: too high expectations and wrong use of the system. Our approach which addresses both issues is based on the transfer of the concept of Quality of Service to IR systems: The user first negotiates the retrieval success rates with the IR system, so he knows what to expect from the system in advance. Second, by dynamic adaptation to the retrieval context, the IR system tries to improve the user's queries and thereby tries to exploit the underlying information source as best as possible.