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Helping
People Make Informed Choices
When we need help in
making decisions, we usually ask a friend or a colleague
for a recommendation.
Imagine a system that
could understand and deduce what all or just a select
few of the people in an enterprise or network might
recommend in a particular situation.
Imagine a system that
could deliver these recommendations, tuned just for your
particular situation, in a particular context or just
based on what it knows you like.
Imagine a system that
could learn from your usage, and other people who are
like you.
Imagine no more.
Meet Epiture - and
Cogito™, Epiture's adaptive recommendation engine.
Epiture
has complete facilities for real-time tracking of usage behaviors at
the individual topic and content item and user levels for each
individual portal, as well as historical trend analysis --
capabilities that go far beyond current web page-based tracking
systems. Epiture usage tracking provides the comprehensive
information needed for fine-tuning the knowledge network. From deep
understanding of user behaviors (without asking for a lot of user
feedback), Epiture delivers in-context and out-of-context
adaptive recommendations based on inferences on user preferences and
interests derived from personal and community usage patterns.
This feature provides automatic organizational learning -- with
novices receiving different recommendations than experts, for
example.
Example applications include:
Getting
new employees up to speed faster in an organization, by learning how
the 'pros' work, without having to bother busy employees.
Offering
customers a personalized experience when learning about new
products/services, without having to construct automated 'wizards'
that constrain the learning experience
Adaptive
recommendations can also take the form of 'useful' advertising.
Vendor driven white papers, special offers, tools and guides, can be
incorporated into a user's experience at the right time, providing
benefit to the user instead of intrusive and annoying advertising.
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