The Okapi system has been used in a series of experiments on the TREC colle
ctions, investigating probabilistic models, relevance feedback and query ex
pansion, and interaction issues. The TREC-6 ad hoc task was used to test an
application of a new relevance weighting formula, which takes account of d
ocuments judged nonrelevant. The application was to a form Of blind feedbac
k (using the top-ranked documents from an initial search to improve the que
ry formulation for a subsequent search, without actual relevance feedback,
on the assumption that these top-ranked documents are likely to be relevant
). In the routing task, the problem is one of query optimization based on a
training set with known relevant documents; investigations for TREC-6 incl
uded using a form of simulated annealing for this purpose. A significant fe
ature of this work is the need to avoid overfitting of the training sample.
In the interactive:track, methodology remains the major problem we do not
yet know how to conduct controlled laboratory experiments which provide goo
d information about information retrieval interaction. The Okapi team has b
een particularly interested in the relation between the functionalities ass
ociated with relevance feedback and the ability of searchers to make use of
these functionalities. TREC provides an excellent environment and set of t
ools for,investigating automatic systems; its value for interactive systems
is not yet proven. (C) 1999 Elsevier Science Ltd. All rights reserved.