Andrea Barraza-Urbina, Ricardo Rugeles, Angela Carrillo Ramos
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引用次数: 0
摘要
由于新的信息技术，用户可以随时随地访问大量不同的新闻故事。尽管如此，目前的新闻传播机制并不能正确地帮助用户发现特定用户可能感兴趣的新闻文章。商业应用正在开发解决方案来解决这个问题;然而，在学术环境中，过时和低效的做法仍然在使用。基于这些原因，本文提出了SADINA (Sistema adaptivo para la Divulgación instituional de Noticias acadsamicas，学术新闻传播适应系统的西班牙语首字母缩写)。SADINA考虑有关新故事(即关键字、发布日期)、用户(即用户类型)和上下文(即访问设备)的信息，以便根据用户的个人兴趣为每个用户提供有序的新闻项目集。
SADINA: Adaptive System for Academic News Dissemination
Thanks to new information technologies, users can access a large amount and variety of news stories, anytime and anywhere. Nonetheless, current mechanisms for news dissemination do not properly assist users in spotting news articles that could be potentially interesting for the particular user. Commercial applications are developing solutions to address this problem; however, in academic environments, outdated and inefficient practices are still used. Given these reasons, this paper proposes SADINA (acronym in Spanish of Sistema Adaptativo para la Divulgación Institucional de Noticias Académicas, Adaptive System for Academic News Dissemination, in English). SADINA considers information on new stories (i.e., keywords, publication date), users (i.e., type of user) and context (i.e., access device) in order to provide each user with an ordered set of news items according to the user's individual interests.
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