The Filter provides recommendation and relevance solutions to
optimise mobile applications that want to offer more
personalised and relevant experiences.
Smart phones provide the highest amount of personal data -
location, music library, tweets, photos, etc. The Filter's
world-leading relevance engine powers mobile apps that wish to make
use of this data to provide individuals with a highly personalised
application.
The most recent example of The Filter's relevance engine being
used in mobile, is Nokia's Gig Finder - a personalized,
context-based App from Nokia which enables you to find, purchase
tickets and enjoy live music based on your location and music
tastes. The relevance engine uses the music stored and listened to
on the mobile phone + location to provide highly relevant concert
recommendations.
More relevant recommendations based on taste and context deliver
a more engaged user. Gig Finder's users are more likely to click to
buy tickets to a recommended concert than via a standard form of
digital marketing.
Example customer installations in Mobile: Gig
Finder.
+44 (0)1225 475825
