Optimal incentive-compatible priority pricing for the M/M/1 queue
Operations Research
Searching distributed collections with inference networks
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Learning collection fusion strategies
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
A theory of cutoff formation under imperfect information
Management Science
A decision-theoretic approach to database selection in networked IR
ACM Transactions on Information Systems (TOIS)
Database merging strategy based on logistic regression
Information Processing and Management: an International Journal
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Modern Information Retrieval
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
Thirty years of conjoint analysis: reflections and prospects
Interfaces - Special issue: marketing engineering
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction
Generalizing GlOSS to Vector-Space Databases and Broker Hierarchies
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
On Heterogeneous Database Retrieval: A Cognitively Guided Approach
Information Systems Research
Relevant document distribution estimation method for resource selection
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Efficient information gathering on the Internet
FOCS '96 Proceedings of the 37th Annual Symposium on Foundations of Computer Science
The Journal of Machine Learning Research
Record Matching in Data Warehouses: A Decision Model for Data Consolidation
Operations Research
Management Science
Unified utility maximization framework for resource selection
Proceedings of the thirteenth ACM international conference on Information and knowledge management
A utility theoretic approach to determining optimal wait times in distributed information retrieval
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Personalizing search via automated analysis of interests and activities
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
When the Wait Isnt So Bad: The Interacting Effects of Website Delay, Familiarity, and Breadth
Information Systems Research
Human-Computer Interaction
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Information specialists in enterprises regularly use distributed information retrieval (DIR) systems that query a large number of information retrieval (IR) systems, merge the retrieved results, and display them to users. There can be considerable heterogeneity in the quality of results returned by different IR servers. Further, because different servers handle collections of different sizes and have different processing and bandwidth capacities, there can be considerable heterogeneity in their response times. The broker in the DIR system has to decide which servers to query, how long to wait for responses, and which retrieved results to display based on the benefits and costs imposed on users. The benefit of querying more servers and waiting longer is the ability to retrieve more documents. The costs may be in the form of access fees charged by IR servers or user's cost associated with waiting for the servers to respond. We formulate the broker's decision problem as a stochastic mixed-integer program and present analytical solutions for the problem. Using data gathered from FedStats---a system that queries IR engines of several U.S. federal agencies---we demonstrate that the technique can significantly increase the utility from DIR systems. Finally, simulations suggest that the technique can be applied to solve the broker's decision problem under more complex decision environments.