… ] represents a new architecture for news related TDT task from Twitter. In this architecture, a
… Unfolding these real-world events and extracting them from Twitter need real-time systems …

… message or user recommendation, and other areas. Extracting topic distribution … is recently
updated from 140 characters. News from these tweets is spread almost in real time all over …

… [36] proposed a clustering approach to classify hashtags in various news categories, eg, …
Specifically, we propose a technique that combines tweet hashtags with enhanced ontology-…

… potential of using Twitter as a datasource for user profiling in news recommendation and we
… Such as [40] describe an approach to news recommendation using real time Twitter data for …

… a model “Real Time Hash tag based Event Detection for Tweet Recommendation” on the
level … to organize tweets into several categories like sports, News, etc. For classification of live …

… particularly Twitter, we can gather useful information about the most discussed news stories
in real time … Then, we propose two extensions that help in learning temporal topic patterns. …

… network compares clicked news to the candidate news in order … to existing news
recommendation methods by manipulating topical … Using twitter to recommend real-time topical …

… propose a unified model to predict time-aware news popularity based on news content,
recency, and near real-time … near real-time CTR, we incorporate news content into news popular…

… We collect those tweets with real-time Twitter lookup API and … within this limitation, a single
tweet can refer to a single topic. … posted by our users on a particular time interval for News, …

… people in real time, spreading breaking health news, with most of these tweets sent 3 days
… pharmacists and physicians could use Twitter to educate surgeons in real time. Targeted …