Publications
Export 15 results:
Author [ Title
] Type Year Filters: Keyword is Recommender Systems [Clear All Filters]
.
2020. An Adaptive Social Network-Aware Collaborative Filtering Algorithm for Improved Rating Prediction Accuracy. IEEE Access. 8:68301–68310.
.
2021. On Addressing the Low Rating Prediction Coverage in Sparse Datasets Using Virtual Ratings. SN Computer Science. 2:255.
.
2023. Disruptive Technologies for Parliaments: A Literature Review. Future Internet. 15:66.
.
2018. Exploiting Rating Abstention Intervals for Addressing Concept Drift in Social Network Recommender Systems. Informatics. 5:21pages.
.
2020. A Fine-grained Social Network Recommender System. Social Network Analysis and Mining. 10(8)
.
2019. Handling uncertainty in social media textual information for improving venue recommendation formulation quality in social networks. Social Network Analysis and Mining. 9:64.
.
2021. Identifying Reliable Recommenders in Users' Collaborating Filtering and Social Neighbourhoods. Lecture Notes in Social Networks. :51–76.
.
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)
.
2022. On Producing Accurate Rating Predictions in Sparse Collaborative Filtering Datasets. Information. 13:302.
.
2023. Rating Prediction Quality Enhancement in Low-Density Collaborative Filtering Datasets. Big Data and Cognitive Computing. 7:59.
.
2021. A User Interface for Personalising WS-BPEL Scenarios. Proceedings of the 2021 International Conference on Human-Computer Interaction: HCI in Business, Government and Organizations.
.
2023. 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).
.
2017. Using Time Clusters for Following Users’ Shifts in Rating Practices. Complex Systems Informatics and Modeling Quarterly. 13
.
2020. What makes a review a reliable rating in recommender systems? Information Processing & Management. 57(6):102304.