Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Inference networks for document retrieval
SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
Evaluation of an inference network-based retrieval model
ACM Transactions on Information Systems (TOIS) - Special issue on research and development in information retrieval
Inference networks for document retrieval
Inference networks for document retrieval
Applying Bayesian networks to information retrieval
Communications of the ACM
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
On Relevance, Probabilistic Indexing and Information Retrieval
Journal of the ACM (JACM)
Link-based and content-based evidential information in a belief network model
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
A probabilistic model of information retrieval: development and comparative experiments
Information Processing and Management: an International Journal
Information Retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Building Bayesian Network-Based Information Retrieval Systems
DEXA '00 Proceedings of the 11th International Workshop on Database and Expert Systems Applications
Implementing relevance feedback in the Bayesian network retrieval model
Journal of the American Society for Information Science and Technology - Mathematical, logical, and formal methods in information retrieval
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - Intelligent information systems
A graphical user interface for the retrieval of hierarchically structured documents
Information Processing and Management: an International Journal
Combining evidence for Web retrieval using the inference network model: an experimental study
Information Processing and Management: an International Journal - Special issue: Bayesian networks and information retrieval
Possibilistic networks for information retrieval
International Journal of Approximate Reasoning
Bayesian network based business information retrieval model
Knowledge and Information Systems
A bayesian approach to classify conference papers
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
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We propose a probabilistic document retrieval model based on Bayesian networks. The network is used to compute the posterior probabilities of relevance of the documents in the collection given a query. These computations can be carried out efficiently, because of the specific network topology and conditional probability tables being considered, which allow the use of a fast and exact probabilities propagation algorithm. In the initial model, only direct relationships between the terms in the glossary and the documents that contain them are considered, giving rise to a Bayesian network with two layers. Next, we consider an extended model that also includes direct relationships between documents, using a network topology with three layers. We also report the results of a set of experiments with the two models, using several standard document collections.