TREC and TIPSTER experiments with INQUERY
TREC-2 Proceedings of the second conference on Text retrieval conference
STARTS: Stanford proposal for Internet meta-searching
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
A decision-theoretic approach to database selection in networked IR
ACM Transactions on Information Systems (TOIS)
The impact of database selection on distributed searching
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Building efficient and effective metasearch engines
ACM Computing Surveys (CSUR)
Using sampled data and regression to merge search engine results
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
QProber: A system for automatic classification of hidden-Web databases
ACM Transactions on Information Systems (TOIS)
A Comparison of Techniques for Selecting Text Collections
ADC '00 Proceedings of the Australasian Database Conference
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)
Content-based retrieval in hybrid peer-to-peer networks
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Distributed search over the hidden web: hierarchical database sampling and selection
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Modeling search engine effectiveness for federated search
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Towards better measures: evaluation of estimated resource description quality for distributed IR
InfoScale '06 Proceedings of the 1st international conference on Scalable information systems
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
Distributed text retrieval from overlapping collections
ADC '07 Proceedings of the eighteenth conference on Australasian database - Volume 63
Federated text retrieval from uncooperative overlapped collections
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Updating collection representations for federated search
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
The DILIGENT framework for distributed information retrieval
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)
Wildcards for lightweight information integration in virtual desktops
Proceedings of the 17th ACM conference on Information and knowledge management
Blog site search using resource selection
Proceedings of the 17th ACM conference on Information and knowledge management
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
Mutli-agent System for Personalizing Information Source Selection
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Classification-based resource selection
Proceedings of the 18th ACM conference on Information and knowledge management
Central-rank-based collection selection in uncooperative distributed information retrieval
ECIR'07 Proceedings of the 29th European conference on IR research
Information Sciences: an International Journal
Personalised distributed information retrieval-based agents
International Journal of Intelligent Systems Technologies and Applications
A joint probabilistic classification model for resource selection
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Geometric representations for multiple documents
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
Foundations and Trends in Information Retrieval
Usercentric Operational Decision Making in Distributed Information Retrieval
Information Systems Research
Compact features for detection of near-duplicates in distributed retrieval
SPIRE'06 Proceedings of the 13th international conference on String Processing and Information Retrieval
A grid-based infrastructure for distributed retrieval
ECDL'07 Proceedings of the 11th European conference on Research and Advanced Technology for Digital Libraries
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This paper presents a unified utility framework for resource selection of distributed text information retrieval. This new framework shows an efficient and effective way to infer the probabilities of relevance of all the documents across the text databases. With the estimated relevance information, resource selection can be made by explicitly optimizing the goals of different applications. Specifically, when used for database recommendation, the selection is optimized for the goal of high-recall (include as many relevant documents as possible in the selected databases); when used for distributed document retrieval, the selection targets the high-precision goal (high precision in the final merged list of documents). This new model provides a more solid framework for distributed information retrieval. Empirical studies show that it is at least as effective as other state-of-the-art algorithms.