Many new college or university students use the housing conditional search system for a leasehold house on Web recently. There is a recommendation system for a leasehold house for students with conditional search and decision rule in rough set. This system performs conditional search using housing information, and evaluate desirable houses by decision rule in rough set. However, the users have a heavy load of judgement about many specimen houses which is prepared in advance, in order to grasps the target user preference. This paper presents the recommendation system in rough set for a leasehold house for students based on two kinds of target user's preference. This system grasps the target user preference based on two kinds of rules which correspond to two kinds of judgement “good” and “bad”. These judgments for selected sample about houses can make the target user's load small. Through the experiment, it is confirm that the system has the same degree of satisfaction as the usual system, and the load of the user in the system is less than the one in usual system.
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