Applying summarization techniques for term selection in relevance feedback
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
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The main focus of the DCU group's participation in the CLEF 2006 Robust Track track was to explore a new method of re-ranking a retrieved document set based on the initial query with a pseudo relevance feedback (PRF) query expansion method. The aim of re-ranking using the initial query is to force the retrieved assumed relevant set to mimic the initial query more closely while not removing the benefits of PRF. Our results show that although our PRF is consistently effective for this task, the application of the current version of our new re-ranking method has little effect on the ranked output.