Improving IMDb Movie Recommendations with Interactive Settings and Filters

Post on 08-Jun-2015

439 views 2 download

Tags:

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 of 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 simon.dooms@intec.ugent.be

Toon De Pessemier toon.depessemier@intec.ugent.be

Luc Martens luc.martens@intec.ugent.be

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