Inferring Query Performance Using Pre-retrieval Predictors

By Ben He, Iadh Ounis. SPIRE, 2004

295 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Terrier : A High Performance and Scalable Information Retrieval Platform (methodology): “comprehensive set of query performance predictors [6, 9], to support a wide range of retrieval tasks and applications.”
Personalized query expansion for the web (2007, methodology): “This metric performs well when used with document collections covering a single topic, but poor otherwise [7, 14].”
Query performance prediction in web search environments (2007, background): “Therefore, it is not surprising to notice that simple features, such as the frequency of query terms in the collection [4] and the average IDF of query terms [5], do not predict well.”
A comparison of user and system query performance predictions (2010, methodology): “The intuition is that if a query has a higher speciﬁcity then it is likely to perform better than a query with low speciﬁcity [14, 23, 38].”