C. Title: PushNews: Personalized RSS News Feed using AI-Based Push Technology D. Description of Title: The scope of the title confined to produce an accurate, usable and flexible personalized RSS news feed system that will harness the power of Artificial Intelligence/text mining techniques to recommend the latest news articles to readers. The RSS system supports a wide range of news drawn from selected sources from the web. It should be designed to support a variety of useful functionalities such as news crawler, related news recommendation, summaries, auto-categorization and news valuation analysis. The ultimate goal of the system is to provide readers the required information without much intervention from them (maybe at most, they provide ratings of news articles for you to personalize the next time) E. Proposed Modules (Individual Work): 1. News Crawler; (CRAWLER MODULE) The Task: The module is responsible for creation of news corpus (collections of news articles) by crawling selecting news site(s). Dates, titles and news contents are to be organized into plain text file for sharing with other modules. Suggested Innovation: To crawl news from more than one sites to build larger corpus, sorted by date.