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Improving IMDb Movie Recommendations with Interactive Settings and Filters

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Information about Improving IMDb Movie Recommendations with Interactive Settings and Filters
Science

Published on October 13, 2014

Author: simondooms

Source: slideshare.net

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.
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1. 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 FRONT END MIDDLEWARE BACK END Google Chrome extension Webserver API HPC infrastructure DATASET CONTROL RESULTS 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 API Request controller HPC

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