Wikipedia-based query performance prediction
|Wikipedia-based query performance prediction|
|Author(s)||Katz G., Shtok A., Kurland O., Shapira B., Rokach L.|
|Published in||SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval|
|Keyword(s)||Query-performance prediction, Wikipedia (Extra: Information retrieval, Empirical evaluations, Prediction methods, Prediction quality, Query performance prediction, Query-performance predictions, Relevance judgment, Retrieval effectiveness, Wikipedia, Forecasting)|
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Wikipedia-based query performance prediction is a 2014 conference paper written in English by Katz G., Shtok A., Kurland O., Shapira B., Rokach L. and published in SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval.
The query-performance prediction task is to estimate retrieval effectiveness with no relevance judgments. Pre-retrieval prediction methods operate prior to retrieval time. Hence, these predictors are often based on analyzing the query and the corpus upon which retrieval is performed. We propose a corpus-independent approach to preretrieval prediction which relies on information extracted from Wikipedia. Specifically, we present Wikipedia-based features that can attest to the effectiveness of retrieval performed in response to a query regardless of the corpus upon which search is performed. Empirical evaluation demonstrates the merits of our approach. As a case in point, integrating the Wikipedia- based features with state-of-the-art pre-retrieval predictors that analyze the corpus yields prediction quality that is consistently better than that of using the latter alone. Copyright 2014 ACM.
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