Publications
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Author [ Title] Type Year Filters: Author is Dionisis Margaris [Clear All Filters]
What makes a review a reliable rating in recommender systems? Information Processing & Management. 57(6):102304.
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2020. Using Time Clusters for Following Users’ Shifts in Rating Practices. Complex Systems Informatics and Modeling Quarterly. 13
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2017. A User Interface for Tuning QoS parameters in Recommendation-Based Business Process Scenario Adaptation. Proceedings of the 19th International Conference on Web Information Systems and Technologies (WEBIST 2023).
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2023. A User Interface for Personalized Web Service Selection in Business Processes. Lecture Notes in Computer Science.
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2020. “Talking” Triples to Museum Chatbots. Proceedings of the 22nd International Conference on Human-Computer Interaction, volume "Culture and Computing".
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2020. Social Relations versus Near Neighbours: Reliable Recommenders in Limited Information Social Network Collaborative Filtering for Online Advertising. Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2019).
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2019. Semantics-Driven Conversational Interfaces for Museum Chatbots. Proceedings of the 22nd International Conference on Human-Computer Interaction, volume "Culture and Computing".
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2020. A Semantic Mixed Reality Framework for Shared Cultural Experiences Ecosystems. Big Data and Cognitive Computing. 4:6.
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2020. Safe Travelling Period Recommendation to High Attack Risk European Destinations Based on Past Attack Information. Lecture Notes in Social Networks. :77–100.
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2021. On Replacement Service Selection in WS-BPEL Scenario Adaptation. Proceedings of the 8th IEEE International Conference on Service Oriented Computing & Applications (SOCA 2015).
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2015. Recommendation information diffusion in social networks considering user influence and semantics. Social Network Analysis and Mining. 6:108.
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2016. Rating Prediction Quality Enhancement in Low-Density Collaborative Filtering Datasets. Big Data and Cognitive Computing. 7:59.
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2023. Query personalization using social network information and collaborative filtering techniques. Future Generation of Computer Systems. Special Issue on Recommender Systems for Large-Scale Social Networks:440–450.
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2017. Pruning and Aging for User Histories in Collaborative Filtering. Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence.
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2016. On Producing Accurate Rating Predictions in Sparse Collaborative Filtering Datasets. Information. 13:302.
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2022. Policy Making Analysis and Practitioner User Experience. Proceedings of the 22nd International Conference on Human-Computer Interaction.
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2020. Persona Finetuning for Online Gaming using Personalisation Techniques. Proceedings of the 2022 HCII Conference.
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2022. Multimodal Interaction: Correlates of Learners' Metacognitive Skill Training Negotiation Experience. Information. 11:381.
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2020. MOOC Accessibility from the Educator Perspective. Proceedings of the 22nd International Conference on Human-Computer Interaction.
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2020. A Mixed-reality Interaction-driven Game-based Learning Framework. Proceedings of the 11th International Conference on Management of Digital EcoSystems (MEDES'19).
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2019. A Methodology for Generated Text Annotation for High Quality Speech Synthesis. Proceedings of the 10th International Conference on Information, Intelligence, Systems and Applications (IISA2019).
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2019. Knowledge-Based Leisure Time Recommendations in Social Networks. Current Trends on Knowledge-Based Systems. :23–48.
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2017. An integrated framework for QoS-based adaptation and exception resolution in WS-BPEL scenarios. Proceedings of the 28th Annual ACM Symposium on Applied Computing - SAC \textquotesingle13.
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2013. An integrated framework for adapting WS-BPEL scenario execution using QoS and collaborative filtering techniques. Science of Computer Programming. 98:707–734.
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2015. Improving QoS Delivered by WS-BPEL Scenario Adaptation through Service Execution Parallelization. Proceedings of the 31st Annual ACM Symposium on Applied Computing. :1590-1596.
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