Publication | Closed Access
A survey of pre-retrieval query performance predictors
155
Citations
10
References
2008
Year
Unknown Venue
EngineeringQuery ModelQuery Performance PredictionPre-retrieval PredictorsText MiningNatural Language ProcessingInformation RetrievalData ScienceData MiningRelevance FeedbackQuery ExpansionStatisticsPredictive AnalyticsKnowledge DiscoveryComputer ScienceQuery AnalysisQuery PerformanceTest CollectionInteractive Information Retrieval
The focus of research on query performance prediction is to predict the effectiveness of a query given a search system and a collection of documents. If the performance of queries can be estimated in advance of, or during the retrieval stage, specific measures can be taken to improve the overall performance of the system. In particular, pre-retrieval predictors predict the query performance before the retrieval step and are thus independent of the ranked list of results; such predictors base their predictions solely on query terms, the collection statistics and possibly external sources such as WordNet. In this poster, 22 pre-retrieval predictors are categorized and assessed on three different TREC test collections.
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