Abstract
Conference Title: 2015 2nd World Symposium on Web Applications and Networking (WSWAN) Conference Start Date: 2015, March 21 Conference End Date: 2015, March 23 Conference Location: Sousse, Tunisia This paper proposes a framework for personalized news application that utilizes intelligent agents to aggregate specific articles from web news based on users' preferences. It shows how to extract web news stories in Arabic language, in particular, in addition to English language. Intelligent agents learn user's interests by exploiting data gathered from social media, web browsing history and also explicit and implicit feedback from the user. To suit the various facets of the user's interests, the system adopt multiagent with different genres. Each agent covers a particular task to fulfil the desired functionality of the framework.