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Having surveyed the major techniques, I turn now to questions
regarding their synthesis. In particular, the questions that need to
be asked are:
- What performance gain is there in combining term weighting and
term selection techniques under the same model?
- Can term weighting and term selection techniques devised under
different models be combined effectively?
- In constructing a system from scratch that would use
Relevance Feedback, what would be the best way to build it?
- Rather than choosing the ``best'' weighting or selection
technique, can better results be obtained by merging the output of
multiple redundant techniques?
- What are the common assumptions from all these techniques? Do
the answers for the above questions still hold if the underlying
assumptions are relaxed?
Erik Selberg
Wed Aug 6 12:24:17 PDT 1997