SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
The effect of accessing nonmatching documents on relevance feedback
ACM Transactions on Information Systems (TOIS)
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
A study of smoothing methods for language models applied to Ad Hoc information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Information Retrieval
A scalable, distributed algorithm for efficient task allocation
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Modern Information Retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Probabilistic models of information retrieval based on measuring the divergence from randomness
ACM Transactions on Information Systems (TOIS)
Mining the Web's Link Structure
Computer
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
Similarity Flooding: A Versatile Graph Matching Algorithm and Its Application to Schema Matching
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
A survey on the use of relevance feedback for information access systems
The Knowledge Engineering Review
Relevance feedback using weight propagation
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
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A new Relevance Feedback (RF) technique called Weight Propagation has been developed which provides greater retrieval effectiveness and computational efficiency than previously described techniques. Documents judged relevant by the user propagate positive weights to documents close by in vector similarity space, while documents judged not relevant propagate negative weights to such neighbouring documents. Retrieval effectiveness is improved since the documents are treated as independent vectors rather than being merged into a single vector as is the case with traditional vector model RF techniques, or by determining the documents relevancy based in part on the lengths of all the documents as with traditional probabilistic RF techniques. Improving the computational efficiency of Relevance Feedback by considering only documents in a given neighbourhood means that the Weight Propagation technique can be used with large collections.