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ORCIDSimon Dooms
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- affiliation: Ghent University, WICA, Belgium
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2010 – 2019
- 2016
[j8]Simon Dooms, Alejandro Bellogín
, Toon De Pessemier, Luc Martens:
A Framework for Dataset Benchmarking and Its Application to a New Movie Rating Dataset. ACM Trans. Intell. Syst. Technol. 7(3): 41:1-41:28 (2016)- 2015
- [j7]Simon Dooms, Toon De Pessemier, Luc Martens:
Offline optimization for user-specific hybrid recommender systems. Multim. Tools Appl. 74(9): 3053-3076 (2015) - [j6]Simon Dooms, Toon De Pessemier, Luc Martens:
Online optimization for user-specific hybrid recommender systems. Multim. Tools Appl. 74(24): 11297-11329 (2015) - 2014
- [j5]Simon Dooms, Pieter Audenaert, Jan Fostier, Toon De Pessemier, Luc Martens:
In-memory, distributed content-based recommender system. J. Intell. Inf. Syst. 42(3): 645-669 (2014) - [j4]Simon Dooms, Toon De Pessemier, Dieter Verslype, Jelle Nelis, Jonas De Meulenaere, Wendy Van den Broeck, Luc Martens, Chris Develder:
OMUS: an optimized multimedia service for the home environment. Multim. Tools Appl. 72(1): 281-311 (2014) - [j3]Toon De Pessemier, Simon Dooms, Luc Martens:
Comparison of group recommendation algorithms. Multim. Tools Appl. 72(3): 2497-2541 (2014) - [j2]Toon De Pessemier, Simon Dooms, Luc Martens:
Context-aware recommendations through context and activity recognition in a mobile environment. Multim. Tools Appl. 72(3): 2925-2948 (2014) - [j1]Simon Dooms, Luc Martens:
"Harvesting movie ratings from structured data in social media" by Simon Dooms and Luc Martens with Ching-man Au Yeung as coordinator. SIGWEB Newsl. 2014(Winter): 4:1-4:5 (2014) - [c18]Simon Dooms, Toon De Pessemier, Luc Martens:
Improving IMDb Movie Recommendations with Interactive Settings and Filters. RecSys Posters 2014 - [c17]Alan Said, Simon Dooms, Babak Loni, Domonkos Tikk:
Recommender systems challenge 2014. RecSys 2014: 387-388 - [c16]Simon Dooms, Toon De Pessemier, Luc Martens:
Mining cross-domain rating datasets from structured data on twitter. WWW (Companion Volume) 2014: 621-624 - 2013
- [c15]Toon De Pessemier, Simon Dooms, Luc Martens:
An Improved Data Aggregation Strategy for Group Recommendations. Decisions@RecSys 2013: 36-39 - [c14]Toon De Pessemier, Simon Dooms, Luc Martens:
A food recommender for patients in a care facility. RecSys 2013: 209-212 - [c13]Simon Dooms:
Dynamic generation of personalized hybrid recommender systems. RecSys 2013: 443-446 - [c12]Toon De Pessemier, Jeroen Minnaert, Kris Vanhecke, Simon Dooms, Luc Martens:
Social Recommendations for Events. RSWeb@RecSys 2013 - [c11]Toon De Pessemier, Simon Dooms, Kris Vanhecke, Bart Matté, Ewout Meyns, Luc Martens:
Context and Activity Recognition for Personalized Mobile Recommendations. WEBIST (Selected Papers) 2013: 243-262 - [c10]Simon Dooms, Toon De Pessemier, Luc Martens:
Caching Strategies for In-memory Neighborhood-based Recommender Systems. WEBIST 2013: 435-440 - [c9]Toon De Pessemier, Simon Dooms, Kris Vanhecke, Bart Matté, Ewout Meyns, Luc Martens:
Context-aware Recommendations through Activity Recognition. WEBIST 2013: 481-490 - 2012
- [c8]Toon De Pessemier, Simon Dooms, Luc Martens:
Design and evaluation of a group recommender system. RecSys 2012: 225-228 - 2011
- [c7]Simon Dooms, Toon De Pessemier, Luc Martens:
A File-Based Approach for Recommender Systems in High-Performance Computing Environments. DEXA Workshops 2011: 529-533 - [c6]Toon De Pessemier, Sam Coppens, Erik Mannens, Simon Dooms, Luc Martens, Kristof Geebelen:
An Event Distribution Platform for Recommending Cultural Activities. WEBIST 2011: 231-236 - [c5]Toon De Pessemier, Kris Vanhecke, Simon Dooms, Luc Martens:
Content-based Recommendation Algorithms on the Hadoop MapReduce Framework. WEBIST 2011: 237-240 - [c4]Simon Dooms, Toon De Pessemier, Luc Martens:
An Online Evaluation of Explicit Feedback Mechanisms for Recommender Systems. WEBIST 2011: 391-394 - 2010
- [c3]Toon De Pessemier, Simon Dooms, Tom Deryckere, Luc Martens:
Time dependency of data quality for collaborative filtering algorithms. RecSys 2010: 281-284 - [c2]Toon De Pessemier, Kris Vanhecke, Simon Dooms, Tom Deryckere, Luc Martens:
Probability-based Extended Profile Filtering - An Advanced Collaborative Filtering Algorithm for User-generated Content. WEBIST (1) 2010: 219-226 - [c1]Toon De Pessemier, Kris Vanhecke, Simon Dooms, Tom Deryckere, Luc Martens:
Extending User Profiles in Collaborative Filtering Algorithms to Alleviate the Sparsity Problem. WEBIST (Selected Papers) 2010: 230-244
Coauthor Index
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