InfoScale '06 Proceedings of the 1st international conference on Scalable information systems
Analyzing and evaluating query reformulation strategies in web search logs
Proceedings of the 18th ACM conference on Information and knowledge management
Effective anonymization of query logs
Proceedings of the 18th ACM conference on Information and knowledge management
Query forwarding in geographically distributed search engines
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Towards query log based personalization using topic models
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Energy-price-driven query processing in multi-center web search engines
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Index tuning for query-log based on-line index maintenance
Proceedings of the 20th ACM international conference on Information and knowledge management
Rank-energy selective query forwarding for distributed search systems
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Selective query forwarding is a promising technique to help scale high-quality and cost-efficient query evaluation in distributed search systems. The basic idea is simple. After a local site receives a query, it determines non-local sites to forward the query to and returns an aggregation of local and non-local results. We introduce "RESQ", a hybrid rank-energy selective query forwarding model. The novel contribution of RESQ is to simultaneously consider both ranking quality and energy costs when making forwarding decisions. Using a large-scale query log and publicly-available energy price time series, we demonstrate the ability of RESQ forwarding to achieve favorable tradeoffs between the possibility of returning high ranking query results and savings in temporally- and spatially-varying energy prices.