The use of adaptive mechanisms for selection of search strategies in document retrieval systems
Proc. of the third joint BCS and ACM symposium on Research and development in information retrieval
Criteria for the selection of search strategies in best-match document-retrieval systems
International Journal of Man-Machine Studies
Information retrieval by constrained spreading activation in semantic networks
Information Processing and Management: an International Journal - Artificial Intelligence and Information Retrieval
Knowledge organization and access in a conceptual information system
Information Processing and Management: an International Journal - Artificial Intelligence and Information Retrieval
I3R: a new approach to the design of document retrieval systems
Journal of the American Society for Information Science
An approach to natural language for document retrieval
SIGIR '87 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval
Conceptual information retrieval using RUBRIC
SIGIR '87 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval
Annual review of information science and technology, vol. 22
Support for browsing in an intelligent text retrieval system
International Journal of Man-Machine Studies
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
A Model for Adaptive Information Retrieval
Journal of Intelligent Information Systems
Application of Spreading Activation Techniques in InformationRetrieval
Artificial Intelligence Review
“Is this document relevant?…probably”: a survey of probabilistic models in information retrieval
ACM Computing Surveys (CSUR)
A multimedia cognitive-based information retrieval system
CSC '91 Proceedings of the 19th annual conference on Computer Science
Regularizing ad hoc retrieval scores
Proceedings of the 14th ACM international conference on Information and knowledge management
A probabilistic relevance propagation model for hypertext retrieval
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Inferential language models for information retrieval
ACM Transactions on Asian Language Information Processing (TALIP)
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Choosing an appropriate document representation and search strategy for document retrieval has been largely guided by achieving good average performance instead of optimizing the results for each individual query. A model of retrieval based on plausible inference gives us a different perspective and suggests that techniques should be found for combining multiple sources of evidence (or search strategies) into an overall assessment of a document's relevance, rather than attempting to pick a single strategy. In this paper, we explain our approach to plausible inference for retrieval and describe some preliminary experiments designed to test this approach. The experiments use a spreading activation search to implement the plausible inference process. The results show that significant effectiveness improvements are possible using this approach.