Resolving ambiguity for cross-language retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Improving automatic query expansion
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Reflections on Mira: interactive evaluation in information retrieval
Journal of the American Society for Information Science
Comparing cross-language query expansion techniques by degrading translation resources
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
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In this poster, we report on the effects of pseudo relevance feedback (PRF) for a cross language image retrieval task using a test collection. Typically PRF has been shown to improve retrieval performance in previous CLIR experiments based on average precision at a fixed rank. However our experiments have shown that queries in which no relevant documents are returned also increases. Because query reformulation for cross language is likely to be harder than with monolingual searching, a great deal of user dissatisfaction would be associated with this scenario. We propose that an additional effectiveness measure based on failed queries may better reflect user satisfaction than average precision alone.