Representing User Navigation in XML Retrieval with Structural Summaries

Authors:
Mir Sadek Ali;Mariano P. Consens;Birger Larsen
Affiliations:
University of Toronto, Canada;University of Toronto, Canada;Royal School of Library and Information Science, Denmark
Venue:
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Year:
2009

Citing 3
Cited 1

Introduction to Probability Models, Ninth Edition

Introduction to Probability Models, Ninth Edition
Structural relevance: a common basis for the evaluation of structured document retrieval

Proceedings of the 17th ACM conference on Information and knowledge management
AxPRE Summaries: Exploring the (Semi-)Structure of XML Web Collections

ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering

Extended structural relevance framework: a framework for evaluating structured document retrieval

Information Retrieval

Quantified Score

Hi-index	0.00

Visualization

Abstract

This poster presents a novel way to represent user navigation in XML retrieval using collection statistics from XML summaries. Currently, developing user navigation models in XML retrieval is costly and the models are specific to collected user assessments. We address this problem by proposing summary navigation models which describe user navigation in terms of XML summaries. We develop our proposal using assessments collected in the interactive track at INEX 2006. Our preliminary results suggest that summary navigation models can represent user navigation in a way that is effective for evaluation and allows economic re-use of assessments for new tasks and collections.