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Poster about the MovieBrain project as presented during the ACM RecSys 2014 conference in Foster City (CA, USA), Oct 8, 2014 by Simon Dooms.
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WiCa, Wireless & Cable, www.wica.intec.ugent.be Gaston Crommenlaan 8 box 201, 9050 Ghent, Belgium
Ghent University, Department of Information Technology
Simon Dooms [email protected]
Toon De Pessemier [email protected]
Luc Martens [email protected]
Improving IMDb Movie Recommendations
with Interactive Settings and Filters
MIDDLEWARE BACK END FRONT END
Google Chrome extension Webserver API HPC infrastructure
CONTROL RESULTS DATASET
IMDb public ratings
&
MovieTweetings
dataset
Interactive settings
Genre filters
User-specific, weighted
hybrid recommendation
strategy
Machine learning
Online public experiment
>150 days active
>80 users
Users enjoy the enhanced
movie recommendation
experience
Users’ interaction behavior
is unique
MyMediaLite
Try it out at themoviebrain.com
MovieBrain
Manual user
involvement and
user-specific strategies
are the future.
Background
processes
User Data
Caching
Logging
APIRequest
controllerHPC
