Interactive query expansion: a user-based evaluation in a relevance feedback environment
Journal of the American Society for Information Science
Combining and selecting characteristics of information use
Journal of the American Society for Information Science and Technology
Report on the ad-hoc track of the INEX 2005 workshop
ACM SIGIR Forum
Flexible retrieval based on the vector space model
INEX'04 Proceedings of the Third international conference on Initiative for the Evaluation of XML Retrieval
Relevance feedback for XML retrieval
INEX'04 Proceedings of the Third international conference on Initiative for the Evaluation of XML Retrieval
Exploring path query results through relevance feedback
Proceedings of the 18th ACM conference on Information and knowledge management
Feedback-driven result ranking and query refinement for exploring semi-structured data collections
Proceedings of the 13th International Conference on Extending Database Technology
Structural consistency: enabling XML keyword search to eliminate spurious results consistently
The VLDB Journal — The International Journal on Very Large Data Bases
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The main objective in XML Retrieval is to select the relevant elements of XML document instead of the whole document. Many open issues appear when considering Relevance Feedback (RF) in XML documents. They are mainly related to the form of XML documents, which mix content and structure information and to the new information granularity. In this paper, a new flexible method of relevance feedback in XML retrieval using two sources of evidence is described. We propose to use the context criterion to select terms to extend the initial query and to use generative structures to express structural constraints. Both approaches are applied in different combined forms. Experiments are carried out with the INEX evaluation campaign and results show the effectiveness of our approach.