Proposed architecture and algorithm for personalized advertising on iDTV and mobile devices. - Toon De Pessemier; Tom Deryckere; Kris Vanhecke; Luc Martens (IEEE Trans. Consumer Electron., 2008)

Context aware recommendations for user-generated content on a social network site. - Toon De Pessemier; Tom Deryckere; Luc Martens (EuroITV, 2009)

Unifying and targeting cultural activities via events modelling and profiling. - Erik Mannens; Sam Coppens; Toon De Pessemier; Kristof Geebelen; Hendrik Dacquin; Rik Van de Walle (EIMM@MM, 2009)

Evaluating a recommendation application for online video content: an interdisciplinary study. - Katrien De Moor; Toon De Pessemier; Peter Mechant; Cédric Courtois; Adrian Juan Verdejo; Lieven De Marez; Luc Martens (EuroITV, 2010)

Automatic news recommendations via profiling. - Erik Mannens; Sam Coppens; Toon De Pessemier; Hendrik Dacquin; Davy Van Deursen; Rik Van de Walle (AIEMPro @ ACM Multimedia, 2010)

Time dependency of data quality for collaborative filtering algorithms. - Toon De Pessemier; Simon Dooms; Tom Deryckere; Luc Martens (RecSys, 2010)

QoE estimation of a location-based mobile game using on-body sensors and QoS-related data. - Adrian Juan Verdejo; Katrien De Moor; István Ketykó; Karen Torben Nielsen; Jeroen Vanattenhoven; Toon De Pessemier; Wout Joseph; Luc Martens; Lieven De Marez (Wireless Days, 2010)

Probability-based Extended Profile Filtering - An Advanced Collaborative Filtering Algorithm for User-generated Content. - Toon De Pessemier; Kris Vanhecke; Simon Dooms; Tom Deryckere; Luc Martens (WEBIST (1), 2010)

Extending User Profiles in Collaborative Filtering Algorithms to Alleviate the Sparsity Problem. - Toon De Pessemier; Kris Vanhecke; Simon Dooms; Tom Deryckere; Luc Martens (WEBIST (Selected Papers), 2010)

A File-Based Approach for Recommender Systems in High-Performance Computing Environments. - Simon Dooms; Toon De Pessemier; Luc Martens (DEXA Workshops, 2011)

Exploring the acceptability of the audiovisual quality for a mobile video session based on objectively measured parameters. - Toon De Pessemier; Katrien De Moor; Adrian Juan Verdejo; Davy Van Deursen; Wout Joseph; Lieven De Marez; Luc Martens; Rik Van de Walle (QoMEX, 2011)

An Online Evaluation of Explicit Feedback Mechanisms for Recommender Systems. - Simon Dooms; Toon De Pessemier; Luc Martens (WEBIST, 2011)

An Event Distribution Platform for Recommending Cultural Activities. - Toon De Pessemier; Sam Coppens; Erik Mannens; Simon Dooms; Luc Martens; Kristof Geebelen (WEBIST, 2011)

Content-based Recommendation Algorithms on the Hadoop MapReduce Framework. - Toon De Pessemier; Kris Vanhecke; Simon Dooms; Luc Martens (WEBIST, 2011)

Users' (Dis)satisfaction with the personalTV application: Combining objective and subjective data. - Katrien De Moor; Toon De Pessemier; Peter Mechant; Cédric Courtois; Adrian Juan Verdejo; Lieven De Marez; Luc Martens (Comput. Entertain., 2011)

Design and evaluation of a group recommender system. - Toon De Pessemier; Simon Dooms; Luc Martens (RecSys, 2012)

A Mobile Conversation Assistant to Enhance Communications for Hearing-impaired Children. - Toon De Pessemier; Laurens Van Acker; Emilie Van Dijck; Karin Slegers; Wout Joseph; Luc Martens (WEBIST, 2012)

Unifying and targeting cultural activities via events modelling and profiling. - Sam Coppens; Erik Mannens; Toon De Pessemier; Kristof Geebelen; Hendrik Dacquin; Davy Van Deursen; Rik Van de Walle (Multim. Tools Appl., 2012)

Collaborative recommendations with content-based filters for cultural activities via a scalable event distribution platform. - Toon De Pessemier; Sam Coppens; Kristof Geebelen; Chris Vleugels; Stijn Bannier; Erik Mannens; Kris Vanhecke; Luc Martens (Multim. Tools Appl., 2012)

Investigating the influence of QoS on personal evaluation behaviour in a mobile context. - Toon De Pessemier; Katrien De Moor; István Ketykó; Wout Joseph; Lieven De Marez; Luc Martens (Multim. Tools Appl., 2012)

Quantifying Subjective Quality Evaluations for Mobile Video Watching in a Semi-Living Lab Context. - Toon De Pessemier; Katrien De Moor; Wout Joseph; Lieven De Marez; Luc Martens (IEEE Trans. Broadcast., 2012)

Modeling subjective quality evaluations for mobile video watching in a living lab context. - Toon De Pessemier; Luc Martens; Wout Joseph (BMSB, 2013)

An Improved Data Aggregation Strategy for Group Recommendations. - Toon De Pessemier; Simon Dooms; Luc Martens (Decisions@RecSys, 2013)

A food recommender for patients in a care facility. - Toon De Pessemier; Simon Dooms; Luc Martens (RecSys, 2013)

Social Recommendations for Events. - Toon De Pessemier; Jeroen Minnaert; Kris Vanhecke; Simon Dooms; Luc Martens (RSWeb@RecSys, 2013)

Caching Strategies for In-memory Neighborhood-based Recommender Systems. - Simon Dooms; Toon De Pessemier; Luc Martens (WEBIST, 2013)

Context-aware Recommendations through Activity Recognition. - Toon De Pessemier; Simon Dooms; Kris Vanhecke; Bart Matté; Ewout Meyns; Luc Martens (WEBIST, 2013)

Context and Activity Recognition for Personalized Mobile Recommendations. - Toon De Pessemier; Simon Dooms; Kris Vanhecke; Bart Matté; Ewout Meyns; Luc Martens (WEBIST (Selected Papers), 2013)

Automatic news recommendations via aggregated profiling. - Erik Mannens; Sam Coppens; Toon De Pessemier; Hendrik Dacquin; Davy Van Deursen; Robbie De Sutter; Rik Van de Walle (Multim. Tools Appl., 2013)

Quantifying the Influence of Rebuffering Interruptions on the User's Quality of Experience During Mobile Video Watching. - Toon De Pessemier; Katrien De Moor; Wout Joseph; Lieven De Marez; Luc Martens (IEEE Trans. Broadcast., 2013)

A large-scale, long-term, user-centric evaluation of a commercial voice-over-IP application. - Toon De Pessemier; Luc Martens; Wout Joseph (BMSB, 2014)

Improving IMDb Movie Recommendations with Interactive Settings and Filters. - Simon Dooms; Toon De Pessemier; Luc Martens (RecSys Posters, 2014)

A Hybrid Strategy for Privacy-Preserving Recommendations for Mobile Shopping. - Toon De Pessemier; Kris Vanhecke; Luc Martens (CBRecSys@RecSys, 2014)

inShopnito: An Advanced yet Privacy-Friendly Mobile Shopping Application. - Andreas Put; Italo Dacosta; Milica Milutinovic; Bart De Decker; Stefaan Seys; Faysal Boukayoua; Vincent Naessens; Kris Vanhecke; Toon De Pessemier; Luc Martens (SERVICES, 2014)

Mining cross-domain rating datasets from structured data on twitter. - Simon Dooms; Toon De Pessemier; Luc Martens (WWW (Companion Volume), 2014)

In-memory, distributed content-based recommender system. - Simon Dooms; Pieter Audenaert; Jan Fostier; Toon De Pessemier; Luc Martens (J. Intell. Inf. Syst., 2014)

OMUS: an optimized multimedia service for the home environment. - Simon Dooms; Toon De Pessemier; Dieter Verslype; Jelle Nelis; Jonas De Meulenaere; Wendy Van den Broeck; Luc Martens; Chris Develder (Multim. Tools Appl., 2014)

Comparison of group recommendation algorithms. - Toon De Pessemier; Simon Dooms; Luc Martens (Multim. Tools Appl., 2014)

Context-aware recommendations through context and activity recognition in a mobile environment. - Toon De Pessemier; Simon Dooms; Luc Martens (Multim. Tools Appl., 2014)

Dynamic optimization of the quality of experience during mobile video watching. - Toon De Pessemier; Luc Martens; Wout Joseph (BMSB, 2015)

Combining Collaborative Filtering and Search Engine into Hybrid News Recommendations. - Toon De Pessemier; Sam Leroux; Kris Vanhecke; Luc Martens (INRA@RecSys, 2015)

The Information Value of Context for a Mobile News Service. - Toon De Pessemier; Kris Vanhecke; Luc Martens (WEBIST, 2015)

A Personalized and Context-Aware News Offer for Mobile Devices. - Toon De Pessemier; Kris Vanhecke; Luc Martens (WEBIST (Revised Selected Papers), 2015)

Offline optimization for user-specific hybrid recommender systems. - Simon Dooms; Toon De Pessemier; Luc Martens (Multim. Tools Appl., 2015)

Online optimization for user-specific hybrid recommender systems. - Simon Dooms; Toon De Pessemier; Luc Martens (Multim. Tools Appl., 2015)

Analysis of the quality of experience of a commercial voice-over-IP service. - Toon De Pessemier; Isabelle Stevens; Lieven De Marez; Luc Martens; Wout Joseph (Multim. Tools Appl., 2015)

A power data driven energy-cost-aware production scheduling method for sustainable manufacturing at the unit process level. - Xu Gong; Toon De Pessemier; Wout Joseph; Luc Martens (ETFA, 2016)

A scalable, high-performance Algorithm for hybrid job recommendations. - Toon De Pessemier; Kris Vanhecke; Luc Martens (RecSys Challenge, 2016)

Enhancing Recommender Systems for TV by Face Recognition. - Toon De Pessemier; Damien Verlee; Luc Martens (WEBIST (2), 2016)

A user-centric evaluation of context-aware recommendations for a mobile news service. - Toon De Pessemier; Cédric Courtois; Kris Vanhecke; Kristin Van Damme; Luc Martens; Lieven De Marez (Multim. Tools Appl., 2016)

Quality assessment and usage behavior of a mobile voice-over-IP service. - Toon De Pessemier; Isabelle Stevens; Lieven De Marez; Luc Martens; Wout Joseph (Telecommun. Syst., 2016)

A Framework for Dataset Benchmarking and Its Application to a New Movie Rating Dataset. - Simon Dooms; Alejandro Bellogín; Toon De Pessemier; Luc Martens (ACM Trans. Intell. Syst. Technol., 2016)

Intuitive human-device interaction for video control and feedback. - Toon De Pessemier; Luc Martens; Wout Joseph (BMSB, 2017)

SemCoTrip: A Variety-Seeking Model for Recommending Travel Activities in a Composite Trip. - Montassar Ben Messaoud; Ilyes Jenhani; Eya Garci; Toon De Pessemier (IEA/AIE (1), 2017)

An efficient genetic algorithm for large-scale transmit power control of dense industrial wireless networks. - Xu Gong; David Plets; Emmeric Tanghe; Toon De Pessemier; Luc Martens; Wout Joseph (CoRR, 2017)

An efficient genetic algorithm for large-scale planning of robust industrial wireless networks. - Xu Gong; David Plets; Emmeric Tanghe; Toon De Pessemier; Luc Martens; Wout Joseph (CoRR, 2017)

Hybrid group recommendations for a travel service. - Toon De Pessemier; Jeroen Dhondt; Luc Martens (Multim. Tools Appl., 2017)

An efficient genetic algorithm for large-scale transmit power control of dense and robust wireless networks in harsh industrial environments. - Xu Gong; David Plets; Emmeric Tanghe; Toon De Pessemier; Luc Martens; Wout Joseph (Appl. Soft Comput., 2018)

An efficient genetic algorithm for large-scale planning of dense and robust industrial wireless networks. - Xu Gong; David Plets; Emmeric Tanghe; Toon De Pessemier; Luc Martens; Wout Joseph (Expert Syst. Appl., 2018)

Heart rate monitoring, activity recognition, and recommendation for e-coaching. - Toon De Pessemier; Luc Martens (Multim. Tools Appl., 2018)

An efficient genetic method for multi-objective continuous production scheduling in Industrial Internet of Things. - Ke Shen 005; Joachim David; Toon De Pessemier; Luc Martens; Wout Joseph (ETFA, 2019)

News Diversity and Recommendation Systems: Setting the Interdisciplinary Scene. - 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; et al. (Privacy and Identity Management, 2019)

Using Facial Recognition Services as Implicit Feedback for Recommenders. - Toon De Pessemier; Ine Coppens; Luc Martens (IntRS@RecSys, 2019)

Genetic Optimization of Energy- and Failure-Aware Continuous Production Scheduling in Pasta Manufacturing. - Ke Shen 005; Toon De Pessemier; Xu Gong; Luc Martens; Wout Joseph (Sensors, 2019)

Energy- and Labor-Aware Production Scheduling for Industrial Demand Response Using Adaptive Multiobjective Memetic Algorithm. - Xu Gong; Ying Liu 028; Niels Lohse; Toon De Pessemier; Luc Martens; Wout Joseph (IEEE Trans. Ind. Informatics, 2019)

Detection of road pavement quality using statistical clustering methods. - Joachim David; Toon De Pessemier; Luc Dekoninck; Bert De Coensel; Wout Joseph; Dick Botteldooren; Luc Martens (J. Intell. Inf. Syst., 2020)

Evaluating facial recognition services as interaction technique for recommender systems. - Toon De Pessemier; Ine Coppens; Luc Martens (Multim. Tools Appl., 2020)

Badminton Activity Recognition Using Accelerometer Data. - Tim Steels; Ben Van Herbruggen; Jaron Fontaine; Toon De Pessemier; David Plets; Eli De Poorter (Sensors, 2020)

A parallel genetic algorithm for multi-objective flexible flowshop scheduling in pasta manufacturing. - Ke Shen 005; Toon De Pessemier; Luc Martens; Wout Joseph (Comput. Ind. Eng., 2021)

Energy-efficient Flow-shop Scheduling in the Printing Industry using Memetic Algorithm. - Ke Shen 005; Fabian Heyse; Toon De Pessemier; Luc Martens; Wout Joseph (ETFA, 2022)

Batch versus Sequential Active Learning for Recommender Systems. - Toon De Pessemier; Sander Vanhove; Luc Martens (CoRR, 2022)

Enhancing the park experience by giving visitors control over the park's soundscape. - 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 (J. Ambient Intell. Smart Environ., 2022)

SFN Gain Prediction by Neural Networks for Enhancing Layer 2 Coverage in LDM Systems. - Yosvany Hervis Santana; David Plets; Toon De Pessemier; Rodney Martinez Alonso; Glauco Guillen Nieto; Luc Martens; Wout Joseph (IEEE Trans. Broadcast., 2022)

Optimizing the Focusing Performance of Non-Ideal Cell-Free mMIMO Using Genetic Algorithm for Indoor Scenario. - Ke Shen 005; Siavash Safapourhajari; Toon De Pessemier; Luc Martens; Wout Joseph; Yang Miao (IEEE Trans. Wirel. Commun., 2022)

Comparing Familiar with Inspiring Recommendations to Assist People in Moving More 8-16. - Ine Coppens; Luc Martens; Toon De Pessemier (IUI Workshops, 2023)

Motivating People to Move More with Personalized Activity and Tip Recommendations: a Randomized Controlled Trial. - Ine Coppens; Luc Martens; Toon De Pessemier (IUI Companion, 2023)

Analyzing Accuracy versus Diversity in a Health Recommender System for Physical Activities: a Longitudinal User Study. - Ine Coppens; Luc Martens; Toon De Pessemier (RecSys, 2023)

Personalising augmented soundscapes for supporting persons with dementia. - 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 (Multim. Tools Appl., 2023)

Recipe recommendations for individual users and groups in a cooking assistance app. - Toon De Pessemier; Kris Vanhecke; Anissa All; Stephanie Van Hove; Lieven De Marez; Luc Martens; Wout Joseph; David Plets (Appl. Intell., 2023)

Explaining Decision-Making between Exploration and Repetition: Key Factors for Physical Activity Recommendations. - Ine Coppens; Toon De Pessemier; Luc Martens (HealthRecSys@RecSys, 2024)

Balancing Habit Repetition and New Activity Exploration: A Longitudinal Micro-Randomized Trial in Physical Activity Recommendations. - Ine Coppens; Toon De Pessemier; Luc Martens (RecSys, 2024)

Repeating my Workouts or Exploring new Activities? A Longitudinal Micro-Randomized User Study for Physical Activity Recommender Systems. - Ine Coppens; Toon De Pessemier; Luc Martens (UMAP (Adjunct Publication), 2024)

Connecting physical activity with context and motivation: a user study to define variables to integrate into mobile health recommenders. - Ine Coppens; Toon De Pessemier; Luc Martens (User Model. User Adapt. Interact., 2024)

Improving selection diversity using hybrid graph-based news recommenders. - Stefaan Vercoutere; Glen Joris; Toon De Pessemier; Luc Martens (User Model. User Adapt. Interact., 2024)

Exploring the added effect of three recommender system techniques in mobile health interventions for physical activity: a longitudinal randomized controlled trial. - Ine Coppens; Toon De Pessemier; Luc Martens (User Model. User Adapt. Interact., 2024)

Investigating different recommender algorithms in the domain of physical activity recommendations: a longitudinal between-subjects user study. - Ine Coppens; Toon De Pessemier; Luc Martens (User Model. User Adapt. Interact., 2025)

Improving consumption diversity via graph-based topic nudging. - Stefaan Vercoutere; Glen Joris; Toon De Pessemier; Luc Martens (User Model. User Adapt. Interact., 2025)