The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
A general language model for information retrieval (poster abstract)
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Incorporating quality metrics in centralized/distributed information retrieval on the World Wide Web
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Relevance based language models
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
A study of smoothing methods for language models applied to Ad Hoc information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
PageRank without hyperlinks: structural re-ranking using links induced by language models
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Document quality models for web ad hoc retrieval
Proceedings of the 14th ACM international conference on Information and knowledge management
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
On ranking the effectiveness of searches
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Ranking robustness: a novel framework to predict query performance
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Query performance prediction in web search environments
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Performance prediction using spatial autocorrelation
SIGIR '07 Proceedings of the 30th 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 by Query-Drift Estimation
ICTIR '09 Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory
Effective pre-retrieval query performance prediction using similarity and variability evidence
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Using statistical decision theory and relevance models for query-performance prediction
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
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
A comparison of user and system query performance predictions
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Quality-biased ranking of web documents
Proceedings of the fourth ACM international conference on Web search and data mining
Efficient and effective spam filtering and re-ranking for large web datasets
Information Retrieval
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Shame to be sham: addressing content-based grey hat search engine optimization
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
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The query-performance prediction task is estimating retrieval effectiveness in the absence of relevance judgments. The task becomes highly challenging over theWeb due to, among other reasons, the effect of low quality (e.g., spam) documents on retrieval performance. To address this challenge, we present a novel prediction approach that utilizes queryindependent document-quality measures. While using these measures was shown to improve Web-retrieval effectiveness, this is the first study demonstrating the clear merits of using them for query-performance prediction. Evaluation performed with large scale Web collections shows that our methods post prediction quality that often surpasses that of state-of-the-art predictors, including those devised specifically for Web retrieval.