Using terminological feedback for web search refinement: a log-based study
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Defining a session on Web search engines: Research Articles
Journal of the American Society for Information Science and Technology
How does clickthrough data reflect retrieval quality?
Proceedings of the 17th ACM conference on Information and knowledge management
Analyzing and evaluating query reformulation strategies in web search logs
Proceedings of the 18th ACM conference on Information and knowledge management
Analysis and evaluation of query reformulations in different task types
Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem - Volume 47
Adaptation of the concept hierarchy model with search logs for query recommendation on intranets
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
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This study examines reformulations of queries submitted to a search engine of a university Web site with a focus on (implicitly derived) user satisfaction and the performance of the underlying search engine. Using a search log of a university Web site we examined all reformulations submitted in a 10-week period and studied the relation between the popularity of the reformulation and the performance of the search engine estimated using a number of clickthrough-based measures. Our findings are a step towards building better query recommendation systems and suggest a number of metrics to evaluate query recommendation systems.