SADINA: Adaptive System for Academic News Dissemination

Abstract

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 Commercial applications are developing solutions to address this problem; however, in academic environments, outdated and inefficient practices are still used.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.