This research used user’s relevance feedback to construct
more useful search query terms. The major weakness of the
general relevance feedback is the frequent user participation.
This may not be appropriate for the user who wants to
retrieve information immediately. Meanwhile, in the case of
relevance feedback based on a retrieval system, the retrieval
As a result of the experiments with our test collection, the
retrieval effectiveness was improved by 13.2% compared to
the initial query where the Rocchio method (Rocchio, Ide-
Regular, and Ide Dec-hi) was used. If classification power of
the classifier used in this method was better, the result would
be more improved. Other strength of the proposed model is
that a user can retrieve information in a way that is not
dependent on a retrieval system through the use of
categories, even though the fields of their interest are
different and the retrieval inclination is heterogeneous. By
coping with the various information needs of users, the
retrieval effectiveness of the retrieval system can be
improved.