Study on Developing Personalized Web Retrieval Support Systems

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We conducted the research on extracting user' s profiles using social bookmarks, ODP(Open Directory Project), Twitter, blogs and browsing history, and related word extraction from Wikipedia in order to develop Web retrieval support systems considering his/her intent. We developed several Web recommender systems using several similarities between users based on the extracted profiles. We also examined a temporal distance between words, extracted related words based on the distance, and showed the effectiveness of the words for a timely retrieval.