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REAL-TIME CONTENT RECOMMENDATION ENGINE FOR DIGITAL MEDIA

ContentWise is the real-time recommendation engine for Digital Media that delivers media content recommendations designed according to individual preferences and TV viewers' tastes. ContentWise represents the perfect solution for a personalized TV experience and a successful IPTV service.



  

 

 

  • ContentWise leverages all available information, i.e. simple collections of user preferences, user profiles or content metadata

 

  • ContentWise enables an easy and fast-start approach allowing operators to unlock their IPTV potential

 

  • ContentWise can recommend any digital media content available on any type of TV service (VOD, Linear TV) via any device

 

  • Thanks to ContentWise now operators can really make their customers' TV experience unique and enjoyable, while increasing their IPTV services reveues




Business benefits
  • Higher profitability: creation of new revenue streams through the exploitation of up-/cross-selling opportunities

 

  • Better customer retention: improved quality of service to customers thanks to the personalization of the IPTV experience and the easiness of content discovery

 

  • Improved decision making support: access to strategic information smoothing out the implementation of marketing campaigns and business decisions

 

  • Fast return on investment: easiness of deployment and integration for both the stand-alone and the software-as-a-service (SaaS) option for a fast enablement and return on investment


key features

  • Multiple recommendation mechanisms:

 

  • Profile-based: recommendations based on the analysis of individual profiles, i.e. explicit preferences defined according to ratings and viewing habits

 

  • "Who watched this, also watched ...": recommendations based on collaborative filtering mechanisms applied to all users' interactions

 

  • Related-content: recommendations based on content similarities, provided by metadata (such as actors, directors, synopsis, ...)

 

  • Community-based: recommendations based on the analysis of user communities and friends' preferences

  • No explicit feedback required: based on a combination of transparent analyses of TV watching habits compared to the whole customer base and linked to explicit ratings

 

  • Multiple profile/STB support: recommendations based on either a specific profile or on the aggregation of multiple users' preferences

 

  • Metadata enhancement: the generation of additional content metadata allows the identification of long-tail contents and genres

 

  • Customizable business rules: thanks to their implementation operators can achieve their business objectives through recommendation and content filtering

 

  • Embedded reporting: both standard and customized reports help operators to understand how their TV business is evolving












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