As the volume of information and users grows rapidly on the Internet, it increases popularity of search as a method for retrieving relevant information. However, it is difficult for users to find relevant documents to their current needs. When users submit a query words to a search engine, users must look through huge of results which most of them are irrelevant to find the relevant ones. The main problem is the search results are selected and presented in the same way for every user. However, each user has his own interests and preferences. This thesis is devoted to personalization search. The approach provides relevant search results based on the satisfaction of a user’s needs. This approach proposes a three-stage analysis of web navigation that yields search results being relevant to the user’s interests and preferences. The approach is inspired by ant foraging behavior. The first stage is to build a user’s profile based on user brewing histories and activities at the search sites to be proportional with the amount of pheromone deposited by the ants. The second stage classifies the user’s profile data to manage information into concepts in a reference concept hierarchy. The final stage personalizes the search results based on the user’s profile. The experiments mainly consider the search results with reference to the user’s profile in presenting the most relevant results to the user. The study found that the approach improved the rank order of the relevant search results
