The user profiling is a fundamental component of any personal applications. The several existing user profiling strategies are based on the objects of users are interested in positive references but not negative preferences. The authors have more focus on search engine personalization and develop several concepts based user profile methods that are bases in both positive and negative preferences. They evaluate the proposing methods against their previously implemented personalized query clustering method. Experimental results shown that profiles which capture and utilize both of the user's positive and negative preferences perform the best.