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Predicting the Usefulness of Collection Enrichment for Enterprise Search
[chapter]
2009
Lecture Notes in Computer Science
Query Expansion (QE) often improves the retrieval performance of an Information Retrieval (IR) system. However, as enterprise intranets are often sparse in nature, with limited use of alternative lexical representations between authors, it can be advantageous to use Collection Enrichment (CE) to gather higher quality pseudo-feedback documents. In this paper, we propose the use of query performance predictors to selectively apply CE on a per-query basis. We thoroughly evaluate our approach on
doi:10.1007/978-3-642-04417-5_41
fatcat:zp55sx7rebeidkibi3z6ll7elq