Download - Improving IMDb Movie Recommendations with Interactive Settings and Filters

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