Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic query wefinement using lexical affinities with maximal information gain
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Searching XML documents via XML fragments
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
A survey on the use of relevance feedback for information access systems
The Knowledge Engineering Review
Component ranking and automatic query refinement for XML retrieval
INEX'04 Proceedings of the Third international conference on Initiative for the Evaluation of XML Retrieval
Combination of evidences in relevance feedback for xml retrieval
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Structural Relevance Feedback in XML Retrieval
FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
Using a content-and-structure oriented method for relevance feedback in XML retrieval
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
Relevance feedback for structural query expansion
INEX'05 Proceedings of the 4th international conference on Initiative for the Evaluation of XML Retrieval
Feedback-Driven structural query expansion for ranked retrieval of XML data
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
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Relevance Feedback (RF) algorithms were studied in the context of traditional IR systems where the returned unit is an entire document. In this paper we describe a component ranking algorithm for XML retrieval and show how to apply known RF algorithms from traditional IR on top of it to achieve Relevance Feedback for XML. We then give two examples of known RF algorithms and show results of applying them to our XML retrieval system in the INEX'04 RF Track.