| MovieTweetings: a Movie Rating Dataset Collected From Twitter S Dooms, T De Pessemier, L Martens Workshop on Crowdsourcing and Human Computation for Recommender Systems Co …, 2013 | 193 | 2013 |
| A User-centric Evaluation of Recommender Algorithms for an Event Recommendation System S Dooms, T De Pessemier, L Martens | 49 | 2011 |
| Dynamic Generation of Personalized Hybrid Recommender Systems S Dooms Ghent University, 2014 | 40 | 2014 |
| Dynamic generation of personalized hybrid recommender systems S Dooms 7th ACM conference on Recommender systems, 443-446, 2013 | 39 | 2013 |
| Recommender systems challenge 2014 A Said, S Dooms, B Loni, D Tikk Proceedings of the 8th ACM Conference on Recommender Systems, 387-388, 2014 | 30 | 2014 |
| An Online Evaluation of Explicit Feedback Mechanisms for Recommender Systems S Dooms, T De Pessemier, L Martens 7th International Conference on Web Information Systems and Technologies …, 2011 | 29 | 2011 |
| A framework for dataset benchmarking and its application to a new movie rating dataset S Dooms, A Bellogin, TD Pessemier, L Martens ACM Transactions on Intelligent Systems and Technology (TIST) 7 (3), 1-28, 2016 | 25 | 2016 |
| In-memory, distributed content-based recommender system S Dooms, P Audenaert, J Fostier, T De Pessemier, L Martens Journal of Intelligent Information Systems 42, 645-669, 2014 | 21 | 2014 |
| Improving IMDb Movie Recommendations with Interactive Settings and Filters S Dooms, T De Pessemier, L Martens | 20 | 2014 |
| Mining cross-domain rating datasets from structured data on twitter S Dooms, T De Pessemier, L Martens Proceedings of the 23rd International Conference on World Wide Web, 621-624, 2014 | 13 | 2014 |
| Online optimization for user-specific hybrid recommender systems S Dooms, T De Pessemier, L Martens Multimedia Tools and Applications 74 (24), 11297-11329, 2015 | 12 | 2015 |
| OMUS: an optimized multimedia service for the home environment S Dooms, T De Pessemier, D Verslype, J Nelis, J De Meulenaere, ... Multimedia tools and applications 72, 281-311, 2014 | 12 | 2014 |
| " Harvesting movie ratings from structured data in social media" by Simon Dooms and Luc Martens with Ching-man Au Yeung as coordinator S Dooms, L Martens ACM SIGWEB Newsletter 2014 (Winter), 1-5, 2014 | 5 | 2014 |
| Caching strategies for in memory neighborhood-based recommender systems S Dooms, T De Pessemier, L Martens WEBIST 2013. 9th International Conference on Web Information Systems and …, 2013 | 1* | 2013 |
| A File-Based Approach for Recommender Systems in High-Performance Computing Environments S Dooms, T De Pessemier, L Martens | 1 | 2011 |
| Demonstrating Contextual Group Recommendations for Media in a Home Environment S Dooms, T De Pessemier, L Martens DIR, 83-84, 2012 | | 2012 |
| Studie rond de aanbeveling van activiteiten S Dooms | | 2009 |
Alan SaidUniversity of Gothenburg在 acm.org 的电子邮件经过验证
