Searching distributed collections with inference networks
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
STARTS: Stanford proposal for Internet meta-searching
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Cluster-based language models for distributed retrieval
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
GlOSS: text-source discovery over the Internet
ACM Transactions on Database Systems (TODS)
Server selection on the World Wide Web
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Query-based sampling of text databases
ACM Transactions on Information Systems (TOIS)
Modeling score distributions for combining the outputs of search engines
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
A language modeling framework for resource selection and results merging
Proceedings of the eleventh international conference on Information and knowledge management
Proceedings of the 27th International Conference on Very Large Data Bases
Server Ranking for Distributed Text Retrieval Systems on the Internet
Proceedings of the Fifth International Conference on Database Systems for Advanced Applications (DASFAA)
Evaluating different methods of estimating retrieval quality for resource selection
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Relevant document distribution estimation method for resource selection
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Comparing the performance of collection selection algorithms
ACM Transactions on Information Systems (TOIS)
A semisupervised learning method to merge search engine results
ACM Transactions on Information Systems (TOIS)
Collection selection for managed distributed document databases
Information Processing and Management: an International Journal
Unified utility maximization framework for resource selection
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Server selection methods in hybrid portal search
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Accurately interpreting clickthrough data as implicit feedback
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
The FedLemur project: Federated search in the real world
Journal of the American Society for Information Science and Technology
Capturing collection size for distributed non-cooperative retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Adaptive query-based sampling of distributed collections
SPIRE'06 Proceedings of the 13th international conference on String Processing and Information Retrieval
Sample sizes for query probing in uncooperative distributed information retrieval
APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development
Updating collection representations for federated search
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Classification-aware hidden-web text database selection
ACM Transactions on Information Systems (TOIS)
Integral based source selection for uncooperative distributed information retrieval environments
Proceedings of the 2008 ACM workshop on Large-Scale distributed systems for information retrieval
Robust result merging using sample-based score estimates
ACM Transactions on Information Systems (TOIS)
Simple Adaptations of Data Fusion Algorithms for Source Selection
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
SUSHI: scoring scaled samples for server selection
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Effective query expansion for federated search
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Server selection methods in personal metasearch: a comparative empirical study
Information Retrieval
Classification-based resource selection
Proceedings of the 18th ACM conference on Information and knowledge management
Exploiting query reformulations for web search result diversification
Proceedings of the 19th international conference on World wide web
Information Sciences: an International Journal
A joint probabilistic classification model for resource selection
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Vertical selection in the presence of unlabeled verticals
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Modeling information sources as integrals for effective and efficient source selection
Information Processing and Management: an International Journal
KMV-peer: a robust and adaptive peer-selection algorithm
Proceedings of the fourth ACM international conference on Web search and data mining
Foundations and Trends in Information Retrieval
A multi-collection latent topic model for federated search
Information Retrieval
Evaluating large-scale distributed vertical search
Proceedings of the 9th workshop on Large-scale and distributed informational retrieval
Explicit search result diversification through sub-queries
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Evaluating server selection for federated search
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Mixture model with multiple centralized retrieval algorithms for result merging in federated search
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Allocating images and selecting image collections for distributed visual search
Proceedings of the 4th International Conference on Internet Multimedia Computing and Service
Shard ranking and cutoff estimation for topically partitioned collections
Proceedings of the 21st ACM international conference on Information and knowledge management
Evaluating reward and risk for vertical selection
Proceedings of the 21st ACM international conference on Information and knowledge management
Collection ranking and selection for federated entity search
SPIRE'12 Proceedings of the 19th international conference on String Processing and Information Retrieval
Aggregating evidence from hospital departments to improve medical records search
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Reducing the uncertainty in resource selection
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Distributed information retrieval and applications
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Search result diversification in resource selection for federated search
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
On the reliability and intuitiveness of aggregated search metrics
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Collection selection is one of the key problems in distributed information retrieval. Due to resource constraints it is not usually feasible to search all collections in response to a query. Therefore, the central component (broker) selects a limited number of collections to be searched for the submitted queries. During the past decade, several collection selection algorithms have been introduced. However, their performance varies on different testbeds. We propose a new collection-selection method based on the ranking of downloaded sample documents. We test our method on six testbeds and show that our technique can significantly outperform other state-of-the-art algorithms in most cases. We also introduce a new testbed based on the TREC GOV2 documents.