improving imdb movie recommendations with interactive settings and filters
DESCRIPTION
Poster about the MovieBrain project as presented during the ACM RecSys 2014 conference in Foster City (CA, USA), Oct 8, 2014 by Simon Dooms.TRANSCRIPT
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