SETS: search enhanced by topic segmentation
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)
SIGIR 2003 workshop on distributed information retrieval
ACM SIGIR Forum
Improving collection selection with overlap awareness in P2P search engines
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
User modeling for full-text federated search in peer-to-peer networks
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
ALVIS peers: a scalable full-text peer-to-peer retrieval engine
P2PIR '06 Proceedings of the international workshop on Information retrieval in peer-to-peer networks
Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)
Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)
Web text retrieval with a P2P query-driven index
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Peer-to-peer similarity search over widely distributed document collections
Proceedings of the 2008 ACM workshop on Large-Scale distributed systems for information retrieval
Modern Information Retrieval
Semantic overlay networks for p2p systems
AP2PC'04 Proceedings of the Third international conference on Agents and Peer-to-Peer Computing
A survey and comparison of peer-to-peer overlay network schemes
IEEE Communications Surveys & Tutorials
A solution to the exact match on rare item searches: introducing the lost sheep algorithm
Proceedings of the International Conference on Web Intelligence, Mining and Semantics
Semi-structured semantic overlay for information retrieval in self-organizing networks
Proceedings of the 21st international conference companion on World Wide Web
Studying the clustering paradox and scalability of search in highly distributed environments
ACM Transactions on Information Systems (TOIS)
Towards automatic assessment of government web sites
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
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It is crucial to study basic principles that support adaptive and scalable retrieval functions in large networked environments such as the Web, where information is distributed among dynamic systems. We conducted experiments on decentralized IR operations on various scales of information networks and analyzed effectiveness, efficiency, and scalability of various search methods. Results showed network structure, i.e., how distributed systems connect to one another, is crucial for retrieval performance. Relying on partial indexes of distributed systems, some level of network clustering enabled very efficient and effective discovery of relevant information in large scale networks. For a given network clustering level, search time was well explained by a poly-logarithmic relation to network size (i.e., the number of distributed systems), indicating a high scalability potential for searching in a growing information space. In addition, network clustering only involved local self-organization and required no global control - clustering time remained roughly constant across the various scales of networks.