A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Comparing the performance of database selection algorithms
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Merging retrieval results in hierarchical peer-to-peer networks
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
A Multi-Agent Approach for Peer-to-Peer Based Information Retrieval System
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
A Dynamically Formed Hierarchical Agent Organization for a Distributed Content Sharing System
IAT '04 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
The robustness of content-based search in hierarchical peer to peer networks
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Information searching and sharing in large-scale dynamic networks
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Searching and sharing information in networks of heterogeneous agents
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
Agent-based distributed decision-making in dynamic operational environments
Intelligent Decision Technologies
P2P Agent Platform: Implementation and Testing
Agents and Peer-to-Peer Computing
System for recommendation of information based on a management content model using software agents
EUROCAST'11 Proceedings of the 13th international conference on Computer Aided Systems Theory - Volume Part I
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In cooperative peer-to-peer information retrieval systems, each node can be considered an intelligent agent and these agents work collectively to provide an information retrieval service. In order to effectively support multiple and concurrent search sessions in the network, we propose two traffic engineering techniques that minimize processing and communication bottlenecks. One is a novel agent control mechanism whose elements include resource selection, local search scheduling, and feedback-based load control. The other is a new two-phase query routing algorithm based on organizational knowledge. Experimental results show that this framework can reduce congestion situations, increase system throughput, and improve considerably the overall system utility.