Information Relevance

Information Relevance

The right offer at the right time, through the right channel – that's the key to optimized customer service. But finding the relevant content in the deluge of daily texts, status messages, blog posts and multimedia data generated on the Internet every day by more than a billion users and professional suppliers is a constantly growing challenge for both consumers and producers.  

Protecting information relevance is therefore of primary importance, particularly for customer communications, customer loyalty and capturing competitive advantages.  The challenge lies in measuring the relevance of content, rating it and arranging it in a sensible sequence.  Moreover, which content a user considers important depends on factors such as personal interests, available time and location.

In response, T-Labs is working on solutions for using and intelligently evaluating existing and new data sources.  A wide variety of areas – such as payment, recommendation and location-based services – directly benefit from the optimization and improved service quality resulting from the insights gleaned from the masses of data.  Adding functions for context-related relevance, for example, can help experts improve the quality of existing recommendation services.     

Innovation field: Internet & Services