Decision theory: an introduction to the mathematics of rationality
Decision theory: an introduction to the mathematics of rationality
Operations Research
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic inference and influence diagrams
Operations Research
A flexible model for retrieval of SGML documents
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
“Is this document relevant?…probably”: a survey of probabilistic models in information retrieval
ACM Computing Surveys (CSUR)
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
Modern Information Retrieval
Video retrieval using an MPEG-7 based inference network
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Information Retrieval and Structured Documents
ESSIR '00 Proceedings of the Third European Summer-School on Lectures on Information Retrieval-Revised Lectures
Using context information in structured document retrieval: an approach based on influence diagrams
Information Processing and Management: an International Journal - Special issue: Bayesian networks and information retrieval
The Garnata Information Retrieval System at INEX'07
Focused Access to XML Documents
Content-Oriented Relevance Feedback in XML-IR Using the Garnata Information Retrieval System
FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
Managing structured queries in probabilistic XML retrieval systems
Information Processing and Management: an International Journal
A flexible object-oriented system for teaching and learning structured IR
TLIR'07 Proceedings of the First international conference on Teaching and Learning of Information Retrieval
| Hi-index | 0.00 |
In this paper we present the theoretical developments necessary to extend the existing Context-based Influence Diagram Model for Structured Documents (CID model), in order to improve its retrieval performance and expressiveness. Firstly, we make it more flexible and general by removing the original restrictions on the type of structured documents that CID represents. This extension requires the design of a new algorithm to compute the posterior probabilities of relevance. Another contribution is related to the evaluation of the influence diagram. The computation of the expected utilities in the original CID model was approximated by applying an independence criterion. We present another approximation that does not assume independence, as well as an exact evaluation method.