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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2451/14381
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| Title: | A RE-UNIFICATION OF TWO COMPETING MODELS FOR DOCUMENT RETRIEVAL |
| Authors: | Bodoff, David |
| Issue Date: | Jun-1997 |
| Publisher: | Stern School of Business, New York University |
| Series/Report no.: | IS-97-10 |
| Abstract: | Two competing approaches for document retrieval were first identified by
Robertson et al (Robertson, Maron et al. 1982) for probabilistic
retrieval. We point out the corresponding two competing approaches for
the Vector Space Model. In both the probabilistic and Vector Space
models, only one of the two competing approaches has received
significant research attention, because of the unavailibility of
sufficient data to implement the second approach. Because it is now
feasible to collect vast amounts of feedback data from users, both
approaches are now possible. We therefore re-visit the question of a
unification of both approaches, for both probabilistic and Vector Space
models. This unification of approaches differs from that originally
proposed in (Robertson, Maron et al. 1982), and offers unique
advantages. Preliminary results of a simulation experiment are reported,
and an outline is provided of an ongoing field study. |
| URI: | http://hdl.handle.net/2451/14381 |
| Appears in Collections: | IOMS: Information Systems Working Papers
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