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IRORS: Intelligent recommendation of RSS feeds

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. | Vietnam J Comput Sci 2016 3 47-56 DOI 10.1007 s4O595-015-0054-9 CrossMark REGULAR PAPER IRORS intelligent recommendation of RSS feeds Nedia Araibi 1 Eya Ben Ahmed2 Wahiba Karaa Ben Abdessalem1 Received 20 September 2015 Accepted 28 November 2015 Published online 14 January 2016 The Author s 2016. This article is published with open access at Springerlink.com Abstract 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 effl-ciency of our approach. Keywords Data warehouse OLAP query log Recommender system RSS feeds 1 Introduction The social media is becoming increasingly popular. Hence the need to provide pertinent results on information retrieval proliferates. In this context really simple syndication RSS B Eya Ben Ahmed eya.benahmed@gmail.com Nedia Araibi nediaar@gmail.com Wahiba Karaa Ben Abdessalem wahiba.benabdessalem@isg.rnu.tn 1 High Institute of Management of Tunis University of Tunis Tunis Tunisia 2 Miracl Laboratory University of Sfax Sfax Tunisia is among the dedicated solutions for news monitoring according to various topics. There is a large amount of previous work on processing RSS feeds from the user side through reflning the RSS feeds according to the user requirements 6 7 . However few works shed the light on analyzing the RSS feeds by decision makers to answer many questions .