SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Improved query difficulty prediction for the web
Proceedings of the 17th ACM conference on Information and knowledge management
Predicting query performance on the web
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Estimating the Query Difficulty for Information Retrieval
Estimating the Query Difficulty for Information Retrieval
Efficient and effective spam filtering and re-ranking for large web datasets
Information Retrieval
Back to the roots: a probabilistic framework for query-performance prediction
Proceedings of the 21st ACM international conference on Information and knowledge management
Using document-quality measures to predict web-search effectiveness
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
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We present a novel interpretation of Clarity [5], a widely used query performance predictor. While Clarity is commonly described as a measure of the "distance" between the language model of the top-retrieved documents and that of the collection, we show that it actually quantifies an additional property of the result list, namely, its diversity. This analysis, along with empirical evaluation, helps to explain the low prediction quality of Clarity for large-scale Web collections.