\(\mathcal {IRORS}\) : intelligent recommendation of RSS feeds

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• 作者：Nedia Araibi ; Eya Ben Ahmed…
• 关键词：Data warehouse ; OLAP query log ; Recommender system ; RSS feeds
• 刊名：Vietnam Journal of Computer Science
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：3
• 期：1
• 页码：47-56
• 全文大小：1,375 KB
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• 作者单位：Nedia Araibi (1)
  Eya Ben Ahmed (2)
  Wahiba Karaa Ben Abdessalem (1)
  
  1. High Institute of Management of Tunis, University of Tunis, Tunis, Tunisia
  2. Miracl Laboratory, University of Sfax, Sfax, Tunisia
  
• 刊物类别：Information Systems and Communication Service; Artificial Intelligence (incl. Robotics); Computer Ap
• 刊物主题：Information Systems and Communication Service; Artificial Intelligence (incl. Robotics); Computer Applications; e-Commerce/e-business; Computer Systems Organization and Communication Networks; Computa
• 出版者：Springer Berlin Heidelberg
• ISSN：2196-8896

文摘

The abundance of information prohibits getting relevant results on online social researches. Thus, RSS feeds appear as monitoring tool of current events according to users preferences. However, the user is flooded by the amount of such RSS feeds. For that reason, any analysis of RSS feeds seems effortful and complex. In this paper, we aim to improve the effectiveness and swiftness of pertinent RSS feeds analysis through recommending suitable fragments of queries during the analysis process of events. Accordingly, we propose an innovative architecture of our new active RSS feeds warehouse. Additionally, we introduce a new recommender system to improve the querying expression of RSS feeds. Our experiment results show the robustness and efficiency of our approach. Keywords Data warehouse OLAP query log Recommender system RSS feeds