Campus Event Calendar
Event Entry
What and Who
Evaluation of Relevance Feedback Algorithms for XML Retrieval
Silvana Solomon
IMPRS
Talk
AG 1, AG 2, AG 3, AG 4, AG 5, SWS
MPI Audience
English
Note: We use this to send email in the morning.
Date, Time and Location
Wednesday, 24 January 2007
13:00
60 Minutes
E1 4
024
Saarbrücken
Abstract
Relevance Feedback is an important technique to improve result quality in
text retrieval and has been recently successfully applied for XML
retrieval, and several feedback algorithms have been proposed. The
comparison of them, however, is still an unsolved problem. Even though
some evaluation methods have been proposed in the literature, it is still
unclear which of them can be applied in the XML context, and which of them
can be combined with the plethora of metrics proposed to assess the
quality of retrieval algorithms.
In this context, our goal is to define and formally analyze different
evaluation methods, implement an evaluation framework for feedback
algorithms that supports different evaluation methods and metrics. We also
want to compare and analyze several feedback algorithms for keyword-based
and structural XML queries by using real submission files.
text retrieval and has been recently successfully applied for XML
retrieval, and several feedback algorithms have been proposed. The
comparison of them, however, is still an unsolved problem. Even though
some evaluation methods have been proposed in the literature, it is still
unclear which of them can be applied in the XML context, and which of them
can be combined with the plethora of metrics proposed to assess the
quality of retrieval algorithms.
In this context, our goal is to define and formally analyze different
evaluation methods, implement an evaluation framework for feedback
algorithms that supports different evaluation methods and metrics. We also
want to compare and analyze several feedback algorithms for keyword-based
and structural XML queries by using real submission files.
Contact
IMPRS
9325 225
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Andrea Primm, 01/16/2007 10:42
Jennifer Gerling, 10/06/2006 10:26 -- Created document.
Jennifer Gerling, 10/06/2006 10:26 -- Created document.