Trouvus Recommendations System demo presentation

1. Getting started with your new RS
THE TROU US
RECOMMENDATIONS SYSTEM (TRS)
OPERATIONS

2. BENEFITS OF A RECOMMENDATION SYSTEM
• Lower Attrition and Advertising Cost
• Reduced Client Acquisition Cost
• Increased User Experience
• Better User Engagement
• Higher User Conversion
• Greater User Retention and Loyalty
• Increased Revenue
• Increased Time-on-Site

3. KEY TERMS
• Recommendation System (RS) - a system that predicts which items,
such as videos or products, a user will like, and then suggests those
items to the user-providing dramatic benefits to both users and the
companies that service them.
• Trouvus’ Application Programming Interface (API) – a specific group of
protocols and tools that inform key input and output operations for
the recommendations system software to work.

4. WHAT IS AN API BASED RS?
API Based
Platform
Catalogues
& Metadata
User
Profiles
User
Created
Events
Business
Rules
Analytical
Modules &
Rules
Personalized
Recommendations
• A system that collects
data about user
behaviour to
determine which items
users are likely to
prefer.
• An API based RS has
the advantage of
being easily
implemented on the
site(s) for which it will
generate
recommendations.

5. THE TRS APPEARANCE
• The number of recommendations
is customizable and may include
up-selling and cross-selling items.
• It can include “personalized
recommendations” based on user
and “similar videos” as two
separate suggestion widgets.
• Personalized recommendations
based on user behaviour and
those based on video metrics will
be located on the page, similarly
to the example.

6. API IMPLEMENTATION PERIOD
• 1 month trial period, starting on the day Trouvus delivers full API
instructions:
• API document
• All required keys
• 1-5 days is required to apply the API and allow Trouvus staff to customize
to your site.
• When integration all data provided, which is then converted into
recommendations that are displayed on your site. Including but not limited
to:
• Personal recommendations designated per user
• Similar films designated per videos

7. THE TESTING PERIOD
Information
Opportunity
Data
Modelin
g
Data
Mining
• A/B testing will be performed at the end of
the trial period.
• The test examines two groups, A and B,
where one of the groups is provided with
personalized recommendations and the
other group uses the existing system.
• Test Measures:
• Registered User Clicks
• Anonymous User Clicks
• Conversion
• Views
• Engagement
• Bookmarks

8. RESULTS OF A/B TEST
Without Trouvus
• High cost of advertising
• Increasing cost for client
acquisition
• UNSATISFIED user experience
• LIMITED user engagement
• MINIMAL user conversion
• POOR user retention and Loyalty
• LOSS of revenue
With Trouvus
• Lower Advertising Cost
• Reduced Client Acquisition Cost
• Increased User Experience
• Better User Engagement
• Higher User Conversion
• Greater User Retention And
Loyalty
• Increased Revenue
• Increased Time-on-site