The term cluster query expansion model proposed in this
research tries to generate term cluster by using classification
information that categorizes the retrieved documents and to
improve retrieval effectiveness by expanding initial query
based on the relevance feedback through a user’s category
decision. It actively leads users to participate by providing
simple classification information, while simultaneously
minimizing the frequent user’s judgment which is generally
the weakest point in relevance feedback.