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2024
[j35]
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Ine Coppens, Toon De Pessemier, Luc Martens:
Connecting physical activity with context and motivation: a user study to define variables to integrate into mobile health recommenders. User Model. User Adapt. Interact. 34(1): 147-181 (2024)
[j34]
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Stefaan Vercoutere, Glen Joris, Toon De Pessemier, Luc Martens:
Improving selection diversity using hybrid graph-based news recommenders. User Model. User Adapt. Interact. 34(4): 955-993 (2024)
2023
[j33]
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Toon De Pessemier, Kris Vanhecke, Anissa All, Stephanie Van Hove, Lieven De Marez, Luc Martens, Wout Joseph, David Plets:
Recipe recommendations for individual users and groups in a cooking assistance app. Appl. Intell. 53(22): 27027-27043 (2023)
[j32]
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Toon De Pessemier, Kris Vanhecke, Pieter Thomas, Tara Vander Mynsbrugge, Stefaan Vercoutere, Dominique Van de Velde, Patricia De Vriendt, Wout Joseph, Luc Martens, Dick Botteldooren, Paul Devos:
Personalising augmented soundscapes for supporting persons with dementia. Multim. Tools Appl. 82(9): 14171-14192 (2023)
2022
[j31]
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Toon De Pessemier, Timothy Van Renterghem, Kris Vanhecke, Anissa All, Karlo Filipan, Kang Sun, Bert De Coensel, Lieven De Marez, Luc Martens, Dick Botteldooren, Wout Joseph:
Enhancing the park experience by giving visitors control over the park's soundscape. J. Ambient Intell. Smart Environ. 14(2): 99-118 (2022)
[j30]
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Yosvany Hervis Santana, David Plets, Toon De Pessemier, Rodney Martinez Alonso, Glauco Guillen Nieto, Luc Martens, Wout Joseph:
SFN Gain Prediction by Neural Networks for Enhancing Layer 2 Coverage in LDM Systems. IEEE Trans. Broadcast. 68(1): 171-179 (2022)
[j29]
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Ke Shen, Siavash Safapourhajari, Toon De Pessemier, Luc Martens, Wout Joseph, Yang Miao:
Optimizing the Focusing Performance of Non-Ideal Cell-Free mMIMO Using Genetic Algorithm for Indoor Scenario. IEEE Trans. Wirel. Commun. 21(10): 8832-8845 (2022)
2021
[j28]
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Ke Shen, Toon De Pessemier, Luc Martens, Wout Joseph:
A parallel genetic algorithm for multi-objective flexible flowshop scheduling in pasta manufacturing. Comput. Ind. Eng. 161: 107659 (2021)
2020
[j27]
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Joachim David, Toon De Pessemier, Luc Dekoninck, Bert De Coensel, Wout Joseph, Dick Botteldooren, Luc Martens:
Detection of road pavement quality using statistical clustering methods. J. Intell. Inf. Syst. 54(3): 483-499 (2020)
[j26]
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Toon De Pessemier, Ine Coppens, Luc Martens:
Evaluating facial recognition services as interaction technique for recommender systems. Multim. Tools Appl. 79(31-32): 23547-23570 (2020)
[j25]
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  - journals/sensors/SteelsHFPPP20
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Tim Steels, Ben Van Herbruggen, Jaron Fontaine, Toon De Pessemier, David Plets, Eli De Poorter:
Badminton Activity Recognition Using Accelerometer Data. Sensors 20(17): 4685 (2020)
2019
[j24]
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  - journals/sensors/ShenPGMJ19
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Ke Shen, Toon De Pessemier, Xu Gong, Luc Martens, Wout Joseph:
Genetic Optimization of Energy- and Failure-Aware Continuous Production Scheduling in Pasta Manufacturing. Sensors 19(2): 297 (2019)
[j23]
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Xu Gong, Ying Liu, Niels Lohse, Toon De Pessemier, Luc Martens, Wout Joseph:
Energy- and Labor-Aware Production Scheduling for Industrial Demand Response Using Adaptive Multiobjective Memetic Algorithm. IEEE Trans. Ind. Informatics 15(2): 942-953 (2019)
2018
[j22]
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Xu Gong, David Plets, Emmeric Tanghe, Toon De Pessemier, Luc Martens, Wout Joseph:
An efficient genetic algorithm for large-scale transmit power control of dense and robust wireless networks in harsh industrial environments. Appl. Soft Comput. 65: 243-259 (2018)
[j21]
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Xu Gong, David Plets, Emmeric Tanghe, Toon De Pessemier, Luc Martens, Wout Joseph:
An efficient genetic algorithm for large-scale planning of dense and robust industrial wireless networks. Expert Syst. Appl. 96: 311-329 (2018)
[j20]
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Toon De Pessemier, Luc Martens:
Heart rate monitoring, activity recognition, and recommendation for e-coaching. Multim. Tools Appl. 77(18): 23317-23334 (2018)
2017
[j19]
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Toon De Pessemier, Jeroen Dhondt, Luc Martens:
Hybrid group recommendations for a travel service. Multim. Tools Appl. 76(2): 2787-2811 (2017)
2016
[j18]
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Toon De Pessemier, Cédric Courtois, Kris Vanhecke, Kristin Van Damme, Luc Martens, Lieven De Marez:
A user-centric evaluation of context-aware recommendations for a mobile news service. Multim. Tools Appl. 75(6): 3323-3351 (2016)
[j17]
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Toon De Pessemier, Isabelle Stevens, Lieven De Marez, Luc Martens, Wout Joseph:
Quality assessment and usage behavior of a mobile voice-over-IP service. Telecommun. Syst. 61(3): 417-432 (2016)
[j16]
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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
[j15]
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Simon Dooms, Toon De Pessemier, Luc Martens:
Offline optimization for user-specific hybrid recommender systems. Multim. Tools Appl. 74(9): 3053-3076 (2015)
[j14]
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Toon De Pessemier, Isabelle Stevens, Lieven De Marez, Luc Martens, Wout Joseph:
Analysis of the quality of experience of a commercial voice-over-IP service. Multim. Tools Appl. 74(15): 5873-5895 (2015)
[j13]
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Simon Dooms, Toon De Pessemier, Luc Martens:
Online optimization for user-specific hybrid recommender systems. Multim. Tools Appl. 74(24): 11297-11329 (2015)
2014
[j12]
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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)
[j11]
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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)
[j10]
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Toon De Pessemier, Simon Dooms, Luc Martens:
Comparison of group recommendation algorithms. Multim. Tools Appl. 72(3): 2497-2541 (2014)
[j9]
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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)
2013
[j8]
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Erik Mannens, Sam Coppens, Toon De Pessemier, Hendrik Dacquin, Davy Van Deursen, Robbie De Sutter, Rik Van de Walle:
Automatic news recommendations via aggregated profiling. Multim. Tools Appl. 63(2): 407-425 (2013)
[j7]
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Toon De Pessemier, Katrien De Moor, Wout Joseph, Lieven De Marez, Luc Martens:
Quantifying the Influence of Rebuffering Interruptions on the User's Quality of Experience During Mobile Video Watching. IEEE Trans. Broadcast. 59(1): 47-61 (2013)
2012
[j6]
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Sam Coppens, Erik Mannens, Toon De Pessemier, Kristof Geebelen, Hendrik Dacquin, Davy Van Deursen, Rik Van de Walle:
Unifying and targeting cultural activities via events modelling and profiling. Multim. Tools Appl. 57(1): 199-236 (2012)
[j5]
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Toon De Pessemier, Katrien De Moor, István Ketykó, Wout Joseph, Lieven De Marez, Luc Martens:
Investigating the influence of QoS on personal evaluation behaviour in a mobile context. Multim. Tools Appl. 57(2): 335-358 (2012)
[j4]
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  - journals/mta/PessemierCGVBMVM12
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Toon De Pessemier, Sam Coppens, Kristof Geebelen, Chris Vleugels, Stijn Bannier, Erik Mannens, Kris Vanhecke, Luc Martens:
Collaborative recommendations with content-based filters for cultural activities via a scalable event distribution platform. Multim. Tools Appl. 58(1): 167-213 (2012)
[j3]
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Toon De Pessemier, Katrien De Moor, Wout Joseph, Lieven De Marez, Luc Martens:
Quantifying Subjective Quality Evaluations for Mobile Video Watching in a Semi-Living Lab Context. IEEE Trans. Broadcast. 58(4): 580-589 (2012)
2011
[j2]
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Katrien De Moor, Toon De Pessemier, Peter Mechant, Cédric Courtois, Adrian Juan Verdejo, Lieven De Marez, Luc Martens:
Users' (Dis)satisfaction with the personalTV application: Combining objective and subjective data. Comput. Entertain. 9(3): 18:1-18:22 (2011)
2008
[j1]
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Toon De Pessemier, Tom Deryckere, Kris Vanhecke, Luc Martens:
Proposed architecture and algorithm for personalized advertising on iDTV and mobile devices. IEEE Trans. Consumer Electron. 54(2): 709-713 (2008)

Conference and Workshop Papers

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2024
[c45]
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Ine Coppens, Toon De Pessemier, Luc Martens:
Balancing Habit Repetition and New Activity Exploration: A Longitudinal Micro-Randomized Trial in Physical Activity Recommendations. RecSys 2024: 1147-1151
[c44]
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Ine Coppens, Toon De Pessemier, Luc Martens:
Repeating my Workouts or Exploring new Activities? A Longitudinal Micro-Randomized User Study for Physical Activity Recommender Systems. UMAP (Adjunct Publication) 2024
2023
[c43]
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  - conf/iui/CoppensMP23
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Ine Coppens, Luc Martens, Toon De Pessemier:
Comparing Familiar with Inspiring Recommendations to Assist People in Moving More 8-16. IUI Workshops 2023: 8-16
[c42]
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Ine Coppens, Luc Martens, Toon De Pessemier:
Motivating People to Move More with Personalized Activity and Tip Recommendations: a Randomized Controlled Trial. IUI Companion 2023: 123-126
[c41]
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Ine Coppens, Luc Martens, Toon De Pessemier:
Analyzing Accuracy versus Diversity in a Health Recommender System for Physical Activities: a Longitudinal User Study. RecSys 2023: 1146-1151
2022
[c40]
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  - conf/etfa/ShenHPMJ22
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Ke Shen, Fabian Heyse, Toon De Pessemier, Luc Martens, Wout Joseph:
Energy-efficient Flow-shop Scheduling in the Printing Industry using Memetic Algorithm. ETFA 2022: 1-7
2019
[c39]
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Ke Shen, Joachim David, Toon De Pessemier, Luc Martens, Wout Joseph:
An efficient genetic method for multi-objective continuous production scheduling in Industrial Internet of Things. ETFA 2019: 1119-1126
[c38]
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  - conf/primelife/JorisCVVGDCHMHL19
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Glen Joris, Camiel Colruyt, Judith Vermeulen, Stefaan Vercoutere, Frederik De Grove, Kristin Van Damme, Orphée De Clercq, Cynthia Van Hee, Lieven De Marez, Véronique Hoste, Eva Lievens, Toon De Pessemier, Luc Martens:
News Diversity and Recommendation Systems: Setting the Interdisciplinary Scene. Privacy and Identity Management 2019: 90-105
[c37]
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Toon De Pessemier, Ine Coppens, Luc Martens:
Using Facial Recognition Services as Implicit Feedback for Recommenders. IntRS@RecSys 2019: 28-35
2017
[c36]
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Toon De Pessemier, Luc Martens, Wout Joseph:
Intuitive human-device interaction for video control and feedback. BMSB 2017: 1-7
[c35]
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  - conf/ieaaie/MessaoudJGP17
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Montassar Ben Messaoud, Ilyes Jenhani, Eya Garci, Toon De Pessemier:
SemCoTrip: A Variety-Seeking Model for Recommending Travel Activities in a Composite Trip. IEA/AIE (1) 2017: 345-355
2016
[c34]
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Xu Gong, Toon De Pessemier, Wout Joseph, Luc Martens:
A power data driven energy-cost-aware production scheduling method for sustainable manufacturing at the unit process level. ETFA 2016: 1-8
[c33]
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Toon De Pessemier, Kris Vanhecke, Luc Martens:
A scalable, high-performance Algorithm for hybrid job recommendations. RecSys Challenge 2016: 5:1-5:4
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Toon De Pessemier, Damien Verlee, Luc Martens:
Enhancing Recommender Systems for TV by Face Recognition. WEBIST (2) 2016: 243-250
2015
[c31]
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Toon De Pessemier, Luc Martens, Wout Joseph:
Dynamic optimization of the quality of experience during mobile video watching. BMSB 2015: 1-6
[c30]
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Toon De Pessemier, Sam Leroux, Kris Vanhecke, Luc Martens:
Combining Collaborative Filtering and Search Engine into Hybrid News Recommendations. INRA@RecSys 2015: 14-19
[c29]
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Toon De Pessemier, Kris Vanhecke, Luc Martens:
A Personalized and Context-Aware News Offer for Mobile Devices. WEBIST (Revised Selected Papers) 2015: 147-168
[c28]
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Toon De Pessemier, Kris Vanhecke, Luc Martens:
The Information Value of Context for a Mobile News Service. WEBIST 2015: 363-369
2014
[c27]
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Toon De Pessemier, Luc Martens, Wout Joseph:
A large-scale, long-term, user-centric evaluation of a commercial voice-over-IP application. BMSB 2014: 1-6
[c26]
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Simon Dooms, Toon De Pessemier, Luc Martens:
Improving IMDb Movie Recommendations with Interactive Settings and Filters. RecSys Posters 2014
[c25]
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Toon De Pessemier, Kris Vanhecke, Luc Martens:
A Hybrid Strategy for Privacy-Preserving Recommendations for Mobile Shopping. CBRecSys@RecSys 2014: 22-25
[c24]
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Andreas Put, Italo Dacosta, Milica Milutinovic, Bart De Decker, Stefaan Seys, Faysal Boukayoua, Vincent Naessens, Kris Vanhecke, Toon De Pessemier, Luc Martens:
inShopnito: An Advanced yet Privacy-Friendly Mobile Shopping Application. SERVICES 2014: 129-136
[c23]
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Simon Dooms, Toon De Pessemier, Luc Martens:
Mining cross-domain rating datasets from structured data on twitter. WWW (Companion Volume) 2014: 621-624
2013
[c22]
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Toon De Pessemier, Luc Martens, Wout Joseph:
Modeling subjective quality evaluations for mobile video watching in a living lab context. BMSB 2013: 1-5
[c21]
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Toon De Pessemier, Simon Dooms, Luc Martens:
An Improved Data Aggregation Strategy for Group Recommendations. Decisions@RecSys 2013: 36-39
[c20]
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Toon De Pessemier, Simon Dooms, Luc Martens:
A food recommender for patients in a care facility. RecSys 2013: 209-212
[c19]
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Toon De Pessemier, Jeroen Minnaert, Kris Vanhecke, Simon Dooms, Luc Martens:
Social Recommendations for Events. RSWeb@RecSys 2013
[c18]
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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
[c17]
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Simon Dooms, Toon De Pessemier, Luc Martens:
Caching Strategies for In-memory Neighborhood-based Recommender Systems. WEBIST 2013: 435-440
[c16]
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Toon De Pessemier, Simon Dooms, Kris Vanhecke, Bart Matté, Ewout Meyns, Luc Martens:
Context-aware Recommendations through Activity Recognition. WEBIST 2013: 481-490
2012
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Toon De Pessemier, Simon Dooms, Luc Martens:
Design and evaluation of a group recommender system. RecSys 2012: 225-228
[c14]
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Toon De Pessemier, Laurens Van Acker, Emilie Van Dijck, Karin Slegers, Wout Joseph, Luc Martens:
A Mobile Conversation Assistant to Enhance Communications for Hearing-impaired Children. WEBIST 2012: 775-780
2011
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Simon Dooms, Toon De Pessemier, Luc Martens:
A File-Based Approach for Recommender Systems in High-Performance Computing Environments. DEXA Workshops 2011: 529-533
[c12]
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Toon De Pessemier, Katrien De Moor, Adrian Juan Verdejo, Davy Van Deursen, Wout Joseph, Lieven De Marez, Luc Martens, Rik Van de Walle:
Exploring the acceptability of the audiovisual quality for a mobile video session based on objectively measured parameters. QoMEX 2011: 125-130
[c11]
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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
[c10]
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Toon De Pessemier, Kris Vanhecke, Simon Dooms, Luc Martens:
Content-based Recommendation Algorithms on the Hadoop MapReduce Framework. WEBIST 2011: 237-240
[c9]
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Simon Dooms, Toon De Pessemier, Luc Martens:
An Online Evaluation of Explicit Feedback Mechanisms for Recommender Systems. WEBIST 2011: 391-394
2010
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Katrien De Moor, Toon De Pessemier, Peter Mechant, Cédric Courtois, Adrian Juan Verdejo, Lieven De Marez, Luc Martens:
Evaluating a recommendation application for online video content: an interdisciplinary study. EuroITV 2010: 115-122
[c7]
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Erik Mannens, Sam Coppens, Toon De Pessemier, Hendrik Dacquin, Davy Van Deursen, Rik Van de Walle:
Automatic news recommendations via profiling. AIEMPro @ ACM Multimedia 2010: 45-50
[c6]
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Toon De Pessemier, Simon Dooms, Tom Deryckere, Luc Martens:
Time dependency of data quality for collaborative filtering algorithms. RecSys 2010: 281-284
[c5]
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Adrian Juan Verdejo, Katrien De Moor, István Ketykó, Karen Torben Nielsen, Jeroen Vanattenhoven, Toon De Pessemier, Wout Joseph, Luc Martens, Lieven De Marez:
QoE estimation of a location-based mobile game using on-body sensors and QoS-related data. Wireless Days 2010: 1-5
[c4]
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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
[c3]
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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
2009
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Toon De Pessemier, Tom Deryckere, Luc Martens:
Context aware recommendations for user-generated content on a social network site. EuroITV 2009: 133-136
[c1]
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Erik Mannens, Sam Coppens, Toon De Pessemier, Kristof Geebelen, Hendrik Dacquin, Rik Van de Walle:
Unifying and targeting cultural activities via events modelling and profiling. EIMM@MM 2009: 33-40

Informal and Other Publications

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2022
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Toon De Pessemier, Sander Vanhove, Luc Martens:
Batch versus Sequential Active Learning for Recommender Systems. CoRR abs/2201.07571 (2022)
2017
[i2]
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Xu Gong, David Plets, Emmeric Tanghe, Toon De Pessemier, Luc Martens, Wout Joseph:
An efficient genetic algorithm for large-scale transmit power control of dense industrial wireless networks. CoRR abs/1709.04320 (2017)
[i1]
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Xu Gong, David Plets, Emmeric Tanghe, Toon De Pessemier, Luc Martens, Wout Joseph:
An efficient genetic algorithm for large-scale planning of robust industrial wireless networks. CoRR abs/1709.04321 (2017)

Coauthor Index

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