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Query performance prediction in web search environments
2007
Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '07
Current prediction techniques, which are generally designed for content-based queries and are typically evaluated on relatively homogenous test collections of small sizes, face serious challenges in web search environments where collections are significantly more heterogeneous and different types of retrieval tasks exist. In this paper, we present three techniques to address these challenges. We focus on performance prediction for two types of queries in web search environments: content-based
doi:10.1145/1277741.1277835
dblp:conf/sigir/ZhouC07
fatcat:ecxyackbu5e3hc4v6gn6dnygee