FOXNews Case Study

About – Leader in general, political, entertainment and business news.
Goals – Present an integrated discovery and engagement experience for content from different online and offline sources and across all content types – audio, video, text and images.
Challenges – large amounts of content and dynamic updates; Rationalizing content from different sources and categories for different use cases and usage models.
Result – Tapping into RAMPdiscover and RAMPworkflow, FOX News has published thousands of relevant, search engine optimized Topic Pages.  Based on a comprehensive analysis of FOX News content, RAMP employs powerful natural language processing capabilities to organize content into topics.  Topics are updated as new content is published and new Topic Pages are discovered dynamically based on breaking news events.  RAMPdiscovery also dynamically publishes individual landing pages for all audio and video content leveraging the metadata produced through MediaCloud to improve discoverability of multimedia content by the web search engines.  Through RAMP:workflow, the FOX News editorial team has complete control to manage existing Topics and create new ones.  The result has been a low-cost method to significantly increase the amount of web content published into the FOX News domain which, in turn, improves the discovery of content through both the web search engines (Google, Yahoo!, Bing) and FOXNews.com.

FOXNews

About – Leader in general, political, entertainment and business news.

Goals – Present an integrated discovery and engagement experience for content from different online and offline sources and across all content types – audio, video, text and images.

Challenges – large amounts of content and dynamic updates; Rationalizing content from different sources and categories for different use cases and usage models.

Result – Tapping into RAMPdiscover and RAMPworkflow, FOX News has published thousands of relevant, search engine optimized Topic Pages.  Based on a comprehensive analysis of FOX News content, RAMP employs powerful natural language processing capabilities to organize content into topics.  Topics are updated as new content is published and new Topic Pages are discovered dynamically based on breaking news events.  RAMPdiscovery also dynamically publishes individual landing pages for all audio and video content leveraging the metadata produced through MediaCloud to improve discoverability of multimedia content by the web search engines.  Through RAMP:workflow, the FOX News editorial team has complete control to manage existing Topics and create new ones.  The result has been a low-cost method to significantly increase the amount of web content published into the FOX News domain which, in turn, improves the discovery of content through both the web search engines (Google, Yahoo!, Bing) and FOXNews.com.

 
 

Testimonials

  • Media companies are recognizing the need to better merchandise their online assets. At the core of this is enhanced search and discovery for audio and video content to generate consumption and therefore unlock the advertising opportunity.
    Anton Denisov, Yankee Group
    Media companies are recognizing the need to better merchandise their online assets. At the core of this is enhanced search and discovery for audio and video content to generate consumption and therefore unlock the advertising opportunity. -  Anton Denisov, Yankee Group