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In this paper, we present a Web content adaptation system that is able to automatically adapt textual elements of Web pages, based on the user profile and preferences. The system employs Web intelligence to perform these automatic adaptations on single elements composing a Web page. In particular, a reinforcement learning algorithm, i.e. Q-learning, based on the idea of reward/punishment is utilized...
We identify relation completion (RC) as one recurring problem that is central to the success of novel big data applications such as Entity Reconstruction and Data Enrichment. Given a semantic relation , RC attempts at linking entity pairs between two entity lists under the relation . To accomplish the RC goals, we propose to formulate search queries for each query entity based...
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...
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