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- tutorialDecember 2024
Query Performance Prediction: Techniques and Applications in Modern Information Retrieval
SIGIR-AP 2024: Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific RegionPages 291–294https://doi.org/10.1145/3673791.3698438Query Performance Prediction is a key task in IR, focusing on estimating the retrieval quality of a given query without relying on human-labeled relevance judgments. Over the decades, QPP has gained increasing significance, with a surge in research ...
- posterOctober 2012
Estimating query difficulty for news prediction retrieval
CIKM '12: Proceedings of the 21st ACM international conference on Information and knowledge managementPages 2623–2626https://doi.org/10.1145/2396761.2398707News prediction retrieval has recently emerged as the task of retrieving predictions related to a given news story (or a query). Predictions are defined as sentences containing time references to future events. Such future-related information is ...
- short-paperNovember 2011
Difficulty guided image retrieval using linear multiview embedding
MM '11: Proceedings of the 19th ACM international conference on MultimediaPages 1169–1172https://doi.org/10.1145/2072298.2071966Existing image retrieval systems suffer from a radical performance variance for different queries. The bad initial search results for "difficult" queries may greatly degrade the performance of their subsequent refinements, especially the refinement that ...
- tutorialJuly 2010
Estimating the query difficulty for information retrieval
SIGIR '10: Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrievalPage 911https://doi.org/10.1145/1835449.1835683Many information retrieval (IR) systems suffer from a radical variance in performance when responding to users' queries. Even for systems that succeed very well on average, the quality of results returned for some of the queries is poor. Thus, it is ...
- ArticleAugust 2005
Learning to estimate query difficulty: including applications to missing content detection and distributed information retrieval
SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrievalPages 512–519https://doi.org/10.1145/1076034.1076121In this article we present novel learning methods for estimating the quality of results returned by a search engine in response to a query. Estimation is based on the agreement between the top results of the full query and the top results of its sub-...
