针对视障人士的普遍网络新闻推荐

Wei Chen, Lijun Zhang, C. Wang, Chun Chen, Jiajun Bu
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引用次数: 3

摘要

盲人和视障人士很难从外界获取信息。本文提出了一种面向盲人的、支持终端普及访问的自适应Web新闻推荐系统EagleRadio。EagleRadio提供自然和用户友好的界面。来自不同主题的新闻故事通过语音合成器阅读给用户,用户可以使用命令在新闻空间中导航。自适应话题导航和新闻推荐方法基于对用户收听历史的分析,帮助用户快速到达相关话题,并向用户推送最相关的新闻。最后,我们评估了所提出的算法,并从用户的角度量化了EagleRadio的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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