A Learned Approach for Ranking News in Real-Time Using the Blogosphere
نویسندگان
چکیده
Newspaper websites and news aggregators rank news stories by their newsworthiness in real-time for display to the user. Recent work has shown that news stories can be ranked automatically in a retrospective manner based upon related discussion within the blogosphere. However, it is as yet undetermined whether blogs are sufficiently fresh to rank stories in real-time. In this paper, we propose a novel learning to rank framework which leverages current blog posts to rank news stories in a real-time manner. We evaluate our proposed learning framework within the context of the TREC Blog track top stories identification task. Our results show that, indeed, the blogosphere can be leveraged for the realtime ranking of news, including for unpredictable events. Our approach improves upon state-of-the-art story ranking approaches, outperforming both the best TREC 2009/2010 systems and its single best performing
منابع مشابه
News article ranking: leveraging the wisdom of bloggers
Every day, editors rank news articles for placement within their newspapers. In this paper, we investigate how news article ranking can be performed automatically. In particular, we investigate the blogosphere as a prime source of evidence, on the intuition that bloggers, and by extension their blog posts, can indicate interest in one news article or another. Moreover, we propose to model this ...
متن کاملStudy on Enhancing Blog Quality Using Social Connectivity
Blogging has become a useful way for people to publish data on the Internet, which contains posts, comments, trackbacks etc. They can also share latest news and opinions. As several blogs have risen up on the web, the users have the problem to identify which of the blogs contain useful information & data. My attempt in this paper is to present a road map in ranking blogs. In the first blush, it...
متن کاملFrom Blogs to News: Identifying Hot Topics in the Blogosphere
We describe the participation of the University of Amsterdam’s ILPS group in the blog track at TREC 2009. We focus on the top stories identification task, and take an approach that does not require the headlines of top stories to be known beforehand. We explore the feasibility of a so-called blogs to news approach: given a date and a set of blog posts, identify the main topics for that date. Th...
متن کاملPresenting a three-objective model in location-allocation problems using combinational interval full-ranking and maximal covering with backup model
Covering models have found many applications in a wide variety of real-world problems; nevertheless, some assumptions of covering models are not realistic enough. Accordingly, a general approach would not be able to answer the needs of encountering varied aspects of real-world considerations. Assumptions like the unavailability of servers, uncertainty, and evaluating more factors at the same ti...
متن کاملOverview of the TREC-2010 Blog Track
• Top stories identification: A task that addresses news-related issues on the blogosphere, namely investigating whether the blogosphere can be leveraged to identify the top news stories of a given day in a real-time fashion. The task has also a search diversity flavour, where for a given story, a representative set of blog posts discussing the story from various perspectives [7] is shown to th...
متن کامل