Viewing morphology as an inference process
SIGIR '93 Proceedings of the 16th 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
Proceedings of the 6th international conference on Intelligent user interfaces
Query clustering using user logs
ACM Transactions on Information Systems (TOIS)
Finding Good Peers in Peer-to-Peer Networks
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
Routing Algorithms for DHTs: Some Open Questions
IPTPS '01 Revised Papers from the First International Workshop on Peer-to-Peer Systems
Content-based retrieval in hybrid peer-to-peer networks
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
ACSC '04 Proceedings of the 27th Australasian conference on Computer science - Volume 26
Adaptive web search based on user profile constructed without any effort from users
Proceedings of the 13th international conference on World Wide Web
Ontology-based personalized search and browsing
Web Intelligence and Agent Systems
Context-sensitive information retrieval using implicit feedback
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
Personalized Search Based on User Search Histories
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
BuddyNet: history-based P2P search
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Federated search of text-based digital libraries in hierarchical peer-to-peer networks
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Efficient peer-to-peer semantic overlay networks based on statistical language models
P2PIR '06 Proceedings of the international workshop on Information retrieval in peer-to-peer networks
Novel applications of information retrieval techniques to peer-to-peer file-sharing systems
P2PIR '06 Proceedings of the international workshop on Information retrieval in peer-to-peer networks
ISKODOR: unified user modeling for integrated searching
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Efficient multi-keyword search over p2p web
Proceedings of the 17th international conference on World Wide Web
Query-driven indexing for scalable peer-to-peer text retrieval
Future Generation Computer Systems
Achieving Effective Multi-term Queries for Fast DHT Information Retrieval
WISE '08 Proceedings of the 9th international conference on Web Information Systems Engineering
Efficient query routing by improved peer description in P2P networks
Proceedings of the 3rd international conference on Scalable information systems
A Study on the Granularity of User Modeling for Tag Prediction
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Improving classification based off-topic search detection via category relationships
Proceedings of the 2009 ACM symposium on Applied Computing
Alternatives to conjunctive query processing in peer-to-peer file-sharing systems
Proceedings of the 2009 ACM symposium on Applied Computing
BloomCast: Efficient Full-Text Retrieval over Unstructured P2Ps with Guaranteed Recall
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
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
Space-economical partial gram indices for exact substring matching
Proceedings of the 18th ACM conference on Information and knowledge management
Personalised distributed information retrieval-based agents
International Journal of Intelligent Systems Technologies and Applications
Scalability of findability: effective and efficient IR operations in large information networks
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
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
Studying the clustering paradox and scalability of search in highly distributed environments
ACM Transactions on Information Systems (TOIS)
Ranked accuracy and unstructured distributed search
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
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User modeling for information retrieval has mostly been studied to improve the effectiveness of information access in centralized repositories. In this paper we explore user modeling in the context of full-text federated search in peer-to-peer networks. Our approach models a user's persistent, long-term interests based on past queries, and uses the model to improve search efficiency for future queries that represent interests similar to past queries. Our approach also enables queries representing a user's transient, ad-hoc interests to be automatically recognized so that search for these queries can rely on a relatively large search radius to avoid sacrificing effectiveness for efficiency. Experimental results demonstrate that our approach can significantly improve the efficiency of full-text federated search without degrading its accuracy. Furthermore, the proposed approach does not require a large amount of training data, and is robust to a range of parameter values.