Research
The research group is dedicated to developing innovative techniques for efficiently processing, organizing, indexing, and querying large-scale unstructured data enabling users to find relevant information accurately. Personalization lies at the core of SWAP’s research endeavors. The lab investigates methods to tailor content, services, and user experiences based on individual preferences, behaviors, and contexts. SWAP researchers are deeply involved in natural language processing, aiming to bridge the gap between human language and machine understanding. They develop algorithms for tasks such as text classification, sentiment analysis, named entity recognition, and machine translation, contributing to the advancement of the field.
All
Human Pose Estimation for Explainable Corrective Feedbacks in Office Spaces
Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization
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27 Jun 2024
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doi:10.1145/3631700.3665184
Improving Transformer-based Sequential Conversational Recommendations through Knowledge Graph Embeddings
Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization
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22 Jun 2024
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doi:10.1145/3627043.3659565
Evaluating Content-based Pre-Training Strategies for a Knowledge-aware Recommender System based on Graph Neural Networks
Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization
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22 Jun 2024
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doi:10.1145/3627043.3659548
AI-based decision support system for public procurement
Information Systems
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01 Oct 2023
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doi:10.1016/j.is.2023.102284
Reproducibility Analysis of Recommender Systems relying on Visual Features: traps, pitfalls, and countermeasures
Proceedings of the 17th ACM Conference on Recommender Systems
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14 Sep 2023
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doi:10.1145/3604915.3609492
10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’23)
Proceedings of the 17th ACM Conference on Recommender Systems
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14 Sep 2023
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doi:10.1145/3604915.3608758
Accountable Knowledge-aware Recommender Systems
Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization
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18 Jun 2023
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doi:10.1145/3565472.3595605
HELENA: An intelligent digital assistant based on a Lifelong Health User Model
Information Processing & Management
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01 Jan 2023
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doi:10.1016/j.ipm.2022.103124
MQALD: Evaluating the impact of modifiers in question answering over knowledge graphs
Semantic Web
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03 Feb 2022
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doi:10.3233/SW-210440
Towards Queryable User Profiles: Introducing Conversational Agents in a Platform for Holistic User Modeling
Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization
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13 Jul 2020
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doi:10.1145/3386392.3399298
Myrror: a platform for holistic user modeling
User Modeling and User-Adapted Interaction
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01 Jul 2020
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doi:10.1007/S11257-020-09272-6
Myrror: a platform for holistic user modeling
User Modeling and User-Adapted Interaction
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01 Jul 2020
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doi:10.1007/s11257-020-09272-6
Generating post hoc review-based natural language justifications for recommender systems
User Modeling and User-Adapted Interaction
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30 Jun 2020
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doi:10.1007/s11257-020-09270-8
Emotions Understanding Model from Spoken Language using Deep Neural Networks and Mel-Frequency Cepstral Coefficients
2020 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)
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01 May 2020
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doi:10.1109/EAIS48028.2020.9122698