The pervasive presence of devices exploited to use and deliver entertainment text-based content can make reading easier to get but more difficult to enjoy, in particular for people with reading-related disabilities. The main solutions that allow overcoming some of the difficulties experienced by users with specific and special needs are based on content adaptation and user profiling. This paper presents a system that aims to improve content legibility by exploiting experiential transcoding techniques. The system we propose tracks users' behaviors so as to provide a tailored adaptation of textual content, in order to fit the needs of a specific user on the several different devices she/he actually uses.
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