Improving the Online News Experience

News consumption patterns are changing, but the tools to view news are dominated by portal and search approaches. We suggest using a mix of search, visualization, natural language processing and machine learning to provide a more captivating, sticky news consumption experience. In this position paper, we suggest a design for one specific use-case where a user needs to catch up on news from a particular time period. The results need to cover key events that happened during the time period, but the stories should be prioritized based on the user’s interests. Further, users should be able to interact and explore stories of interest. We present the limitations of existing online news sites for such a task and present some ways to address these issues.