Fernando Diaz
ABSTRACT
Pseudo-relevance feedback has traditionally been implemented as an expensive re-retrieval of documents from the target corpus. In this work, we demonstrate that, for high precision metrics, re-ranking the original feedback set provides nearly identical performance to re-retrieval with significantly lower latency.
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Digital Library
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Index Terms
- Condensed List Relevance Models
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