Publications
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2016. 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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2018. Enhancing Rating Prediction Quality Through Improving the Accuracy of Detection of Shifts in Rating Practices. Lecture Notes in Computer Science. 10940 (LNCS):151–191.
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2017. Exploiting Internet of Things information to enhance venues' recommendation accuracy. Service Oriented Computing and Applications. todb:393–409.
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2017. 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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2015. A Collaborative Filtering Algorithm with Clustering for Personalized Web Service Selection in Business Processes. Proceedings of RCIS 2015.
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2020. Improving collaborative filtering’s rating prediction accuracy by considering users’ dynamic rating variability. International Journal of Big Data Intelligence. 7(2)
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2017. Enhancing User Rating Database Consistency Through Pruning. Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIV. LNCS, volume 10620:33–64.
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2018. Exploiting Rating Abstention Intervals for Addressing Concept Drift in Social Network Recommender Systems. Informatics. 5:21pages.
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2020. A User Interface for Personalized Web Service Selection in Business Processes. Lecture Notes in Computer Science.
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2017. Improving Collaborative Filtering's Rating Prediction Quality in Dense Datasets, by Pruning Old Ratings. Proceedings of the 22nd IEEE Symposium on Computers and Communications (ISCC17).
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2013. 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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2020. Improving collaborative filtering’s rating prediction coverage in sparse datasets by exploiting the “friend of a friend” concept. International Journal of Big Data Intelligence. 7(1)
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2021. Augmenting Black Sheep Neighbour Importance for Enhancing Rating Prediction Accuracy in Collaborative Filtering. Applied Sciences. 11:8369.
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2016. Recommendation information diffusion in social networks considering user influence and semantics. Social Network Analysis and Mining. 6:108.
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2017. Using Time Clusters for Following Users’ Shifts in Rating Practices. Complex Systems Informatics and Modeling Quarterly. 13
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2020. What makes a review a reliable rating in recommender systems? Information Processing & Management. 57(6):102304.
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2017. Improving Collaborative Filtering’s Rating Prediction Quality by Considering Shifts in Rating Practices. Proceedings of the 19th IEEE International Conference on business informatics (CBI17).
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2019. Improving Collaborative Filtering’s Rating Prediction Quality by Exploiting the Item Adoption Eagerness Information. Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence.
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2019. Improving Collaborative Filtering’s Rating Prediction Coverage in Sparse Datasets through the Introduction of Virtual Near Neighbors. Proceedings of the 10th International Conference on Information, Intelligence, Systems and Applications (IISA2019).
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2022. Anchoring Effect Mitigation for Complex Recommender System Design. Proceedings of the 2022 HCI International Conference.
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2015. A Hybrid Framework for WS-BPEL Scenario Execution Adaptation, Using Monitoring and Feedback Data. Proceedings of the 30th ACM/SIGAPP Symposium On Applied Computing, SOAP track.
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2020. Human behaviour in multimodal interaction: main effects of civic action and interpersonal and problem-solving skills. Journal of Ambient Intelligence and Humanized Computing. TBD:TBD.
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2004. A web browser for ISDN card phones. Journal of Internet Technology. 5:267-277.
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2001. Agents in Decentralised Information Ecosystems: The DIET Approach. Symposium on Information Agents for E-Commerce, AISB Convention.