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SADINA: Adaptive System for Academic News Dissemination

Published: 02 December 2013 Publication History

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 Commercial applications are developing solutions to address this problem; however, in academic environments, outdated and inefficient practices are still used.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

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      cover image ACM Other conferences
      IIWAS '13: Proceedings of International Conference on Information Integration and Web-based Applications & Services
      December 2013
      753 pages
      ISBN:9781450321136
      DOI:10.1145/2539150
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 02 December 2013

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      Author Tags

      1. Context
      2. Information Adaptation
      3. Information Retrieval
      4. News
      5. Recommendation Systems

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