Publications

Sgardelis K, Margaris D, Spiliotopoulos D, Vassilakis C.  2025.  Experimental results for Evaluating User Similarity Metrics in Sparse Collaborative Filtering Datasets (version 2).

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Sgardelis K, Margaris D, Spiliotopoulos D, Vassilakis C.  2024.  Experimental results for Evaluating User Similarity Metrics in Sparse Collaborative Filtering Datasets. SODA Lab Technical Reports.

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Margaris D, Sgardelis K, Spiliotopoulos D, Vassilakis C.  2024.  Exploiting Rating Prediction Certainty for Recommendation Formulation in Collaborative Filtering. Big Data and Cognitive Computing. 8:53.

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Margaris D, Spiliotopoulos D, Vassilakis C.  2019.  Experimental results for considering Item Adoption Eagerness Information in Collaborative Filtering’s Rating Prediction.

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Margaris D, Vassilakis C.  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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Margaris D, Vassilakis C.  2018.  Exploiting Rating Abstention Intervals for Addressing Concept Drift in Social Network Recommender Systems. Informatics. 5:21pages.

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Margaris D, Vassilakis C.  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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Margaris D, Vassilakis C.  2017.  Exploiting Internet of Things information to enhance venues' recommendation accuracy. Service Oriented Computing and Applications. todb:393–409.

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