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A novel method for personalized tweet recommendation based on Field-aware Factorization Machines (FFMs) with adaptive field organization is presented in this paper. The proposed method realizes accurate recommendation of tweets in which users are interested by the following two contributions. First, sentiment factors such as opinions, thoughts and feelings included in tweets are newly introduced into...