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UvA-DARE ( Digital Academic Repository ) Boosting Web Retrieval through Query Operations
- Publisher
- Springer Berlin Heidelberg
- Copyright
- © Springer-Verlag Berlin Heidelberg 2011
- ISBN
- 978-3-642-22897-1
- Pages
- 107 –120
- DOI
- 10.1007/978-3-642-22898-8_5
- Publisher site
- See Chapter on Publisher Site
Abstract
[This chapter extends the basic MRF model by automatically learning query-dependent concept weights. The extension is a generic framework for learning the importance of query term concepts in a way that directly optimizes an underlying retrieval metric. By implementing concept weighting directly into the underlying retrieval model it avoids the issue of metric divergence. The chapter concludes with a rigorous experimental evaluation that demonstrates this weighting strategy is capable of yielding strong gains in retrieval effectiveness.]
Published: Jul 14, 2011