Wei Chen, Lijun Zhang, C. Wang, Chun Chen, Jiajun Bu
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Pervasive Web News Recommendation for Visually Impaired People
It is very difficult for blind and visually-impaired people getting information from the outside world. In this paper, we propose an adaptive Web news recommendation system named EagleRadio, designed for blind man and supports pervasive access using terminals. EagleRadio offers natural and user-friendly interface. News stories from different topics are read via a speech synthesizer to users and they can use commands to navigate inside the news space. Based on the analyzing of userpsilas listening history, adaptive topic navigation and news recommendation methods help users reaching relevant topics quickly and push the most relevant news to them. Finally, we evaluate the proposed algorithms and quantify the effect of EagleRadio from a userpsilas perspective.