Publications

Journals

• C. Cong, S. Liu, P. Rana, M. Pagnucco, A. Di Ieva, S. Berkovsky, Y. Song, "Adaptive Unified Contrastive Learning with Graph-based Feature Aggregator for Imbalanced Classification", Expert Systems with Applications, vol. 251, e. 123783, 2024 [PDF]
• E. Gordon, D. Ward, H. Xiong, S. Berkovsky, R. Hubbard, "Delirium and Incident Dementia: Results from a Large Retrospective Cohort Study of Hospital Patients in New South Wales, Australia", British Medical Journal (BMJ), vol. 384, e. 077634, 2024 [PDF]
• C. Berube, M. Nißen, R. Vinay, A. Geiger, T. Budig, A. Bhandari, C.R. Pe Benito, N. Ibarcena, O. Pistolese, P. Li, A. Bin Sawad, E. Fleisch, C. Stettler, B. Hemsley, S. Berkovsky, T. Kowatsch, A.B. Kocaballi, "Proactive Behavior in Voice Assistants: A Systematic Review and Conceptual Model", Computers in Human Behavior Reports, vol. 14, e. 100411, 2024 [PDF]
• S. Liu, C. Castillo-Olea, S. Berkovsky, "Emerging Applications and Translational Challenges for AI in Healthcare", Information, vol. 15(2), e. 90, 2024 [PDF]

Books/Edited

• S. Liu, C. Castillo-Olea, S. Berkovsky, "Advances in AI for Health and Medical Applications", MDPI, ISBN 978-3-7258-0367-5, 2024 [link]

Conferences

• R. Matsushima, Y. Hijikata, S. Berkovsky, "Proponents as the Means to Increase the Uptake of Recommendations", Int. Conf. on User Modeling, Adaptation, and Personalization (UMAP), pp. 255-260, 2024 [PDF]
• D.C. Yuan, H. Xiong, G. Shangguan, H. Shen, D. Liu, H. Zhang, Z. Liu, K. Qian, B. Hu, B.W. Schuller, Y. Yamamoto, S. Berkovsky, "Deep Fusion of Shifted MLP and CNN for Medical Image Segmentation", Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1676-1680, 2024 [PDF]

Journals

• A.P. Susanto, D. Lyell, B. Widyantoro, S. Berkovsky, F. Magrabi, "Effects of Machine Learning-Based Clinical Decision Support Systems on Decision-Making, Care Delivery, and Patient Outcomes: a Scoping Review", Journal of the American Medical Informatics Association (JAMIA), vol. 30(12), pp. 2050-2063, 2023 [PDF]
• D. Fraile Navarro, K. Ijaz, D. Rezazadegan, H. Rahimi-Ardabili, M. Dras, E. Coiera, S. Berkovsky, "Clinical Named Entity Recognition and Relation Extraction Using Natural Language Processing of Medical Free Text: A Systematic Review", International Journal of Medical Informatics (IJMI), vol. 177, e. 105122, 2023 [PDF]
• D. Fraile Navarro, A.B. Kocaballi, M. Dras, S. Berkovsky, "Collaboration, not Confrontation: Understanding General Practitioners' Attitudes Towards Natural Language and Text Automation in Clinical Practice", ACM Transactions on Computer-Human Interaction (TOCHI), vol. 30(2), e. 29, 2023 [PDF]
• B. Tag, N. van Berkel, S. Verma, B.Z.H. Zhao, S. Berkovsky, M.A. Kaafar, V. Kostakos, O. Ohrimenko, "DDoD: Dual Denial of Decision Attacks on Human-AI Teams", IEEE Pervasive Computing, vol. 22(1), pp. 77-84, 2023 [PDF]
• S. Berkovsky, E. Coiera, "Moving Beyond Algorithmic Accuracy to Improving User Interaction with Clinical AI", PLOS Digital Health, vol. 2(3), e. 0000222, 2023 [PDF]
• L. Chen, W. Cai, D. Yan, S. Berkovsky, "Eye-Tracking Based Personality Prediction on Recommendation Interfaces", User Modeling and User-Adapted Interaction (UMUAI), vol. 33(1), pp. 121-157, 2023 [PDF]
• D. Rountree-Harrison, S. Berkovsky, M. Kangas, "Heart and Brain Traumatic Stress Biomarker Analysis with and without Machine Learning: A Scoping Review", International Journal of Psychophysiology (IJPP), vol. 185, pp. 27-49, 2023 [PDF]

Books/Edited

• J. Zhang, L. Chen, S. Berkovsky, M. Zhang, T. Di Noia, J. Basilico, L. Pizzato, Y. Song, "Proceedings of the 17th ACM Conference on Recommender Systems", Association for Computing Machinery, ISBN 979-8-4007-0241-9, 2023 [link]
• F. Chen, M. Billinghurst, M. Zhou, S. Berkovsky, "Proceedings of the 28th International Conference on Intelligent User Interfaces", Association for Computing Machinery, ISBN 979-8-4007-0106-1, 2023 [link]
• F. Chen, M. Billinghurst, M. Zhou, S. Berkovsky, "Companion Proceedings of the 28th International Conference on Intelligent User Interfaces", Association for Computing Machinery, ISBN 979-8-4007-0107-8, 2023 [link]

Conferences

• S.R. Chitnis, S. Liu, T. Dash, T.T. Verlekar, A. Di Ieva, S. Berkovsky, L. Vig, A. Srinivasan, "Domain-Specific Pre-training Improves Confidence in Whole Slide Image Classification", Int. Conf. of the Engineering in Medicine and Biology Society (EMBC), e. 695, 2023 [PDF]
• L. Jose, S. Berkovsky, H. Xiong, C. Mascolo, R.V. Sharan, "Denoising Cough Sound Recordings Using Neural Network", Int. Conf. of the Engineering in Medicine and Biology Society (EMBC), e. 723, 2023 [PDF]
• A.P. Susanto, D. Lyell, B. Widyantoro, S. Berkovsky, F. Magrabi, "How Well do AI-Enabled Decision Support Systems Perform in Clinical Settings?", World Congress on Medical and Health Informatics (MedInfo), pp. 279-283, 2023 [PDF]

Journals

• H. Xiong, S. Berkovsky, M.A. Kaafar, A. Jaffe, E. Coiera, R.V. Sharan, "Reliability of Crowdsourced Data and Patient-Reported Outcome Measures in Cough-Based COVID-19 Screening", Scientific Reports, vol. 12, e. 21990, 2022 [PDF]
• G.W. van Wyk, S. Berkovsky, D. Fraile Navarro, E. Coiera, "Comparing Health Outcomes between Coronary Interventions in Frail Patients Aged 75 Years or Older with Acute Coronary Syndrome: A Systematic Review", European Geriatric Medicine, vol. 13, pp. 1057-1069, 2022 [PDF]
• C. Cong, S. Liu, A. Di Ieva, M. Pagnucco, S. Berkovsky, Y. Song, "Colour Adaptive Generative Networks for Stain Normalisation of Histopathology Images", Medical Image Analysis, e. 102580, 2022 [PDF]
• K. Ijaz, T.T.M. Tran, A.B. Kocaballi, R.A. Calvo, S. Berkovsky, N. Ahmadpour, "Design Considerations for Immersive Virtual Reality Applications for Older Adults: A Scoping Review", Multimodal Technologies and Interaction (MTI), vol. 6(7), e. 60, 2022 [PDF]
• H. Xiong, H.N. Phan, K. Yin, S. Berkovsky, J. Jung, A.Y.S. Lau, "Identifying Daily Activities of Patient Work for Type 2 Diabetes and Co-morbidities – A Deep Learning and Wearable Camera Approach", Journal of the American Medical Informatics Association (JAMIA), vol. 29(8), pp. 1400-1408, 2022 [PDF]
• H. Xiong, S. Liu, R.V. Sharan, E. Coiera, S. Berkovsky, "Weak Label Based Bayesian U-Net for Optic Disc Segmentation in Fundus Images", Artificial Intelligence in Medicine (AIMed), vol. 126, e. 102261, 2022 [PDF]
• D. Rezazadegan, S. Berkovsky, J.C. Quiroz, A.B. Kocaballi, Y. Wang, L. Laranjo, E. Coiera, "Symbolic and Statistical Learning Approaches to Speech Summarization: A Scoping Review", Computer Speech and Language (CLS), vol. 72, e. 101305, 2022 [PDF]

Books/Edited

• M. Ferrari Dacrema, I. Cantador, I. Fernandez-Tobıas, S. Berkovsky, P. Cremonesi, "Design and Evaluation of Cross-domain Recommender Systems", in F. Ricci, L. Rokach, B. Shapira: Recommender Systems Handbook, pp. 485-516, Springer, 2022 [PDF]
• R. Masood, S. Berkovsky, M.A. Kaafar, "Tracking and Personalization", in B.P. Knijnenburg, X. Page, P. Wisniewski, H. Richter Lipford, N. Proferes, J.Romano: Modern Socio-Technical Perspectives on Privacy, pp. 171-202, Springer, 2022 [PDF]
• V.G. Motti, S. Berkovsky, "Healthcare Privacy", in B.P. Knijnenburg, X. Page, P. Wisniewski, H. Richter Lipford, N. Proferes, J.Romano: Modern Socio-Technical Perspectives on Privacy, pp. 203-231, Springer, 2022 [PDF]

Conferences

• R.V. Sharan, H. Xiong, S. Berkovsky, "Detecting Cough Recordings in Crowdsourced Data Using CNN-RNN", International Conference on Biomedical and Health Informatics (BHI), e. 104, 2022 [PDF]
• D. Fraile Navarro, M. Dras, S. Berkovsky, "Few-Shot Fine-Tuning SOTA Summarization Models for Medical Dialogues", Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), pp. 254-266, 2022 [PDF]

Workshops

• C. Cong, Y. Yang, S. Liu, M. Pagnucco, A. Di Ieva, S. Berkovsky, Y. Song, "Adaptive Unified Contrastive Learning for Imbalanced Classification", Workshop on Machine Learning in Medical Imaging, 2022 [PDF]

Journals

• Y.Z. Feng, S. Liu, Z.Y. Cheng, J.C. Quiroz, D. Rezazadegan, P.K. Chen, Q.T. Lin, L. Qian, X.F. Liu, S. Berkovsky, E. Coiera, L. Song, X.M. Qiu, X.R. Cai, "Severity Assessment and Progression Prediction of COVID-19 Patients Based on the LesionEncoder Framework and Chest CT", Information, vol. 12(11), e. 471, 2021. [PDF]
• R.V. Sharan, S. Berkovsky, H. Xiong, E. Coiera, "End-to-End Sleep Apnea Detection Using Single-Lead ECG Signal and 1-D Residual Neural Networks", Journal of Medical and Biological Engineering, vol. 41, pp. 758-766, 2021 [PDF]
• H. Xiong, S. Berkovsky, M. Romano, R.V. Sharan, S. Liu, E. Coiera, L. McLellan, "Prediction of Anxiety Disorders Using a Feature Ensemble Based Bayesian Neural Network", Journal of Biomedical Informatics (JBI), vol. 123, e. 103921, 2021 [PDF]
• S. Berkovsky, E.Coiera, "Health Personalisation: From Wellbeing to Medicine", ACM Special Inerest Group on Hypertext and the Web (SIGWeb) Newsletter, Summer, e. 4, 2021 [PDF]
• G. Tangari, M. Ikram, I.W.B Sentana, K. Ijaz, M.A. Kaafar, S. Berkovsky, "Analyzing Security Issues of Android Mobile Health and Medical Applications", Journal of the American Medical Informatics Association (JAMIA), vol. 28(10), pp. 2074-2084, 2021 [PDF]
• S. Wang, L. Cao, L. Hu, S. Berkovsky, X. Huang, L. Xiao, W. Lu, "Jointly Modeling Intra- and Inter-Transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation", IEEE Intelligent Systems, vol. 36(4), pp. 56-64, 2021 [PDF]
• G. Wali, S. Berkovsky, D. Whiten, A. Mackay-Sim, C.M. Sue, "Single Cell Morphology Distinguishes Genotype and Drug Effect in Hereditary Spastic Paraplegia", Scientific Reports, vol. 11, e. 16635, 2021 [PDF]
• G. Tangari, M. Ikram, K. Ijaz, M.A. Kaafar, S. Berkovsky, "Mobile Health and Privacy: Cross Sectional Study", British Medical Journal (BMJ), vol. 373, e. 1248, 2021 [PDF]
• S. Liu, T. Meng, C. Russo, A. Di Ieva, S. Berkovsky, L. Peng, W. Dou, L. Qian, "Brain Volumetric and Fractal Analysis of Synthetic MRI: A Comparative Study with Conventional 3D T1-Weighted Images", European Journal of Radiology, vol. 141, e. 109782, 2021 [PDF]
• M. Rashed-Al-Mahfuz, M.A. Moni, P. Lio, S.M.S. Islam, S. Berkovsky, M. Khushi, J.M.W. Quinn, "Deep Convolutional Neural Networks Based ECG Beats Classification to Diagnose Cardiovascular Conditions", Biomedical Engineering Letters, vol. 11, pp. 147-162, 2021 [PDF]
• R.V. Sharan, H. Xiong, S. Berkovsky, "Benchmarking Audio Signal Representation Techniques for Classification with Convolutional Neural Networks", MDPI Sensors, vol. 21, e. 3434, 2021 [PDF]
• R.V. Sharan, S. Berkovsky, D. Fraile Navarro, H. Xiong, A. Jaffe. "Detecting Pertussis in the Pediatric Population Using Respiratory Sound Events and CNN", Biomedical Signal Processing and Control, vol. 68, e. 102722, 2021 [PDF]
• J.C. Quiroz, Y.Z. Feng, Z.Y. Cheng, D. Rezazadegan, P.K. Chen, Q.T. Lin, L. Qian, X.F. Liu, S. Berkovsky, E. Coiera, L. Song, X Qiu, S. Liu, X.R. Cai, "Development and Validation of a Machine Learning Approach for Automated Severity Assessment of COVID-19 Based on Clinical and Imaging Data: Retrospective Study", Journal of Medical Internet Research Medical Informatics (JMIR MedInfo), vol. 9(2), e. 24572, 2021 [PDF]
• J.C. Quiroz, L. Laranjo, C. Tufanaru, A.B. Kocaballi, D. Rezazadegan, S. Berkovsky, E. Coiera, "Empirical Analysis of Zipf's Law, Power law, and Lognormal Distributions in Medical Discharge Reports", International Journal of Medical Informatics, vol. 145, e. 104324, 2020 [PDF]
• H. Xiong, Y.Y. Tang, F. Murtagh, L. Rutkowski, S. Berkovsky, "A Diversified Shared Latent Variable Model for Efficient Image Characteristics Extraction and Modelling", Neurocomputing, vol. 421, pp. 244-259, 2021 [PDF]

Conferences

• C. Cong, S. Liu, A. Di Ieva, M. Pagnucco, S. Berkovsky, Y. Song, "Semi-Supervised Adversarial Learning for Stain Normalisation in Histopathology Images", International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 580-591, 2021 [PDF]
• I.W.B. Sentana, M. Ikram, M.A. Kaafar, S. Berkovsky, "Empirical Security and Privacy Analysis of Mobile Symptom Checking Apps on Google Play", International Conference on Security and Cryptography (SECRYPT), pp. 665-773, 2021 [PDF]
• C. Cong, S. Liu, A. Di Ieva, M. Pagnucco, S. Berkovsky, Y. Song, "Texture Enhanced Generative Adversarial Network for Stain Normalisation in Histopathology Images", International Symposium on Biomedical Imaging (ISBI), pp. 1949-1952, 2021 [PDF]

Journals

• J.C. Quiroz, L. Laranjo, A.B. Kocaballi, A. Briatore, S. Berkovsky, D. Rezazadegan, E. Coiera, "Identifying Relevant Information in Medical Conversations to Summarize a Clinician-Patient Encounter", Health Informatics Journal, vol. 26(4), pp. 2906-2914, 2020 [PDF]
• Y. Gao, X. Xiao, B. Han, G. Li, X. Ning, D. Wang, W. Cai, R. Kikinis, S. Berkovsky, A. Di Ieva, L. Zhang, N. Ji, S. Liu, "Deep Learning Methodology for Differentiating Glioma Recurrence from Radiation Necrosis using Multimodal MRI: Algorithm Development and Validation", Journal of Medical Internet Research Medical Informatics (JMIR MedInfo), vol. 8(11), e. 19805, 2020 [PDF]
• A.B. Kocaballi, K. Ijaz, L. Laranjo, J.C. Quiroz, D.Rezazadegan, H.L. Tong, S. Willcock, S. Berkovsky, E. Coiera, "Envisioning an Artificial Intelligence Documentation Assistant for Future Primary Care Consultations: A Co-design Study with General Practitioners", Journal of the American Medical Informatics Association (JAMIA), vol. 27(11), pp. 1695-1704, 2020 [PDF]
• R. Taib, S. Berkovsky, I. Koprinska, E. Wang, Y. Zeng, J. Li, "Personality Sensing: Detection of Personality Traits Using Physiological Responses to Image and Video Stimuli", ACM Transactions on Interactive Intelligent Systems (TiiS), vol. 10(3), e. 18, 2020 [PDF]
• D. Jannach, B. Mobasher, S. Berkovsky "Research Directions in Session-Based and Sequential Recommendation", User Modeling and User-Adapted Interaction (UMUAI), vol. 30(4), pp. 609-616, 2020 [PDF]
• S. Liu, Z. Shah, A. Sav, C. Russo, S. Berkovsky, Y. Qian, E. Coiera, A. Di Ieva, "Isocitrate Dehydrogenase (IDH) Status Prediction in Histopathology Images of Gliomas using Deep Learning", Nature Scientific Reports, vol. 10, e. 7733, 2020 [PDF]
• R. Taib, S. Berkovsky, "Modeling Humans via Physiological and Behavioral Signals", ACM Interactions, vol. 27(3), pp. 30-34, 2020 [PDF]
• A.B. Kocaballi, J.C. Quiroz, D. Rezazadegan, S. Berkovsky, F. Magrabi, E. Coiera, L. Laranjo, "Responses of Conversational Agents to Health and Lifestyle Prompts: An Investigation of Appropriateness and Presentation Structures", Journal of Medical Internet Research (JMIR), vol. 22(2), e. 15823, 2020 [PDF]

Conferences

• V. Bogina, J. Sheidin, T. Kuflik, S. Berkovsky, "Visualizing Program Genres' Temporal-Based Similarity in Linear TV Recommendations", Int. Conf. on Advanced Visual Interfaces (AVI), e. 69, 2020 [PDF]
• R.V. Sharan, S. Berkovsky, Ronnie Taib, Irena Koprinska, Jingjie Li, "Detecting Personality Traits using Inter-Hemispheric Asynchrony of the Brainwaves", Int. Conf. of the Engineering in Medicine and Biology Society (EMBC), pp. 62-65, 2020 [PDF]
• R.V. Sharan, S. Berkovsky, "Epileptic Seizure Detection using Multi-Channel EEG Wavelet Power Spectra and 1-D Convolutional Neural Networks", Int. Conf. of the Engineering in Medicine and Biology Society (EMBC), pp. 545-548, 2020 [PDF]
• R.V. Sharan, S. Berkovsky, H. Xiong, E. Coiera, "ECG-Derived Heart Rate Variability Interpolation and 1-D Convolutional Neural Networks for Detecting Sleep Apnea", Int. Conf. of the Engineering in Medicine and Biology Society (EMBC), pp. 637-640, 2020 [PDF]
• R.V. Sharan, S. Berkovsky, S. Liu, "Voice Command Recognition using Biologically Inspired Time-Frequency Representation and Convolutional Neural Networks", Int. Conf. of the Engineering in Medicine and Biology Society (EMBC), pp. 998-1001, 2020 [PDF]
• H. Xiong, S. Berkovsky, R.V. Sharan, S. Liu, E. Coiera, "Robust Vision Based Workout Analysis using Diversified Deep Latent Variable Model", Int. Conf. of the Engineering in Medicine and Biology Society (EMBC), pp. 2155-2158, 2020 [PDF]
• A.B. Kocaballi, E. Coiera, S. Berkovsky, "Revisiting Habitability in Conversational Systems", Int. Conf. on Human Factors in Computing Systems (CHI), e. 205, 2020 [PDF]

Journals

• J.C. Quiroz, L. Laranjo, A.B. Kocaballi, S. Berkovsky, D. Rezazadegan, E. Coiera, "Challenges of Developing a Digital Scribe to Reduce Clinical Documentation Burden", NPJ Digital Medicine, vol. 2, e. 114, 2019 [PDF]
• A.B. Kocaballi, S. Berkovsky, J.C. Quiroz, L. Laranjo, H.L. Tong, D. Rezazadegan, A. Briatore, E. Coiera, "The Personalization of Conversational Agents in Healthcare: Systematic Review", Journal of Medical Internet Research (JMIR), vol. 21(11), e. 15360, 2019 [PDF]

Books/Edited

• S. Berkovsky, I. Cantador, D. Tikk, "Collaborative Recommendations: Algorithms, Practical Challenges, and Applications", World Scientific, ISBN 978-9-8132-7534-8, 2019 [PDF]
• A. Tiroshi, T. Kuflik, S. Berkovsky, M.A. Kaafar, "Graph Based Recommendations: From Data Representation to Feature Extraction and Application", in O. Khalid, S.U. Khan, A.Y. Zomaya: Big Data Recommender Systems: Recent Trends and Advances, pp.407-454, Institution of Engineering and Technology, 2019 [PDF]

Conferences

• R. Taib, K. Yu, S. Berkovsky, M. Wiggins, P. Bayl-Smith, "Social Engineering and Organisational Dependencies in Phishing Attacks", Int. Conf. on Human-Computer Interaction (INTERACT), pp. 564-584, 2019 [PDF]
• S. Berkovsky, R. Taib, I. Koprinska, E. Wang, Y. Zeng, J. Li, S. Kleitman, "Detecting Personality Traits Using Eye-Tracking Data", Int. Conf. on Human Factors in Computing Systems (CHI), e. 221, 2019 [Best Paper Award] [PDF]
• K. Yu, S. Berkovsky, R. Taib, J. Zhou, F. Chen, "Do I Trust My Machine Teammate? An Investigation from Perception to Decision", Int. Conf. on Intelligent User Interfaces (IUI), pp. 460-468, 2019 [PDF]

Books/Edited

• S. Berkovsky, Y. Hijikata, J. Rekinoto, M. Burnett, M. Billinghurst, A. Quigley, "Proceedings of the 23rd International Conference on Intelligent User Interfaces", Association for Computing Machinery, ISBN 978-1-4503-4945-1, 2018 [link]
• S. Berkovsky, Y. Hijikata, J. Rekinoto, "Companion Proceedings of the 23rd International Conference on Intelligent User Interfaces", Association for Computing Machinery, ISBN 978-1-4503-5571-1, 2018 [link]
• K. Yu, S. Berkovsky, D. Conway, R. Taib, J. Zhou, F. Chen, "Do I Trust a Machine? Differences in User Trust Based on System Performance", in J. Zhou, F. Chen: Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent, pp. 245-264, Springer, 2018 [PDF]

Conferences

• A. Devaraju, S. Berkovsky, "A Hybrid Recommendation Approach for Open Research Datasets", Int. Conf. on User Modeling, Adaptation, and Personalization (UMAP), pp. 207-211, 2018 [PDF]
• S. Berkovsky, R. Taib, Y. Hijikata, P. Braslavski, B. Knijnenburg, "A Cross-Cultural Analysis of Trust in Recommender Systems", Int. Conf. on User Modeling, Adaptation, and Personalization (UMAP), pp. 285-289, 2018 [PDF]

Journals

• J. Freyne, J. Yin, E. Brindal, G. Hendrie, S. Berkovsky, M. Noakes, "Push Notifications in Diet Apps: Influencing Engagement Times and Tasks", Int. Journal of Human-Computer Interaction (IJHCI), vol. 33(10), pp. 833-845, 2017 [PDF]
• M.S. Hussain, J. Li, E. Brindal, Y. Van Kasteren, M. Varnfield, A. Reeson, S. Berkovsky, J. Freyne, "Supporting the Delivery of Total Knee Replacements Care for Patients and their Clinicians with a Mobile App and Online Tool", Journal of Medical Internet Research Protocols (JMIR Protocols), vol. 6(3), e. 32, 2017 [PDF]

Books/Edited

• P. Cremonesi, F. Ricci, S. Berkovsky, A. Tuzhilin, "Proceedings of the 11th ACM Conference on Recommender Systems", Association for Computing Machinery, ISBN 978-1-4503-4652-8, 2017 [link]

Conferences

• G. Misra, N.A.G. Arachchilage, S. Berkovsky, "Phish Phinder: A Game Design Approach to Enhance User Confidence in Mitigating Phishing Attacks", Int. Symposium on Human Aspects of Information Security and Assurance (HAISA), pp. 41-51, 2017 [PDF]
• A. Devaraju, S. Berkovsky, "Do Users Matter? The Contribution of User-Driven Feature Weights to Open Dataset Recommendations", Recommender Systems Conf. Posters (RecSys), e. 16, 2017 [PDF]
• L. Luo, B. Li, I. Koprinska, S. Berkovsky, F. Chen, "Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process", Int. Joint Conf. on Artificial Intelligence (IJCAI), pp. 2414-2420, 2017 [PDF]
• D. Bradford, S. Berkovsky, M. Martyn, T. Bakkar, M. Krahnert, M. Rodriguez, D. Bauer, D. Ireland, C. Gaff, "Interacting with Genomic Data: Clinician Requirements and Prototype Structure", Australian National Health Informatics Conf. (HIC), pp. 1-7, 2017 [PDF]
• D. Conway, R. Taib, M. Harris, K. Yu, S. Berkovsky, F. Chen, "A Qualitative Investigation of Bank Employee Experiences of Information Security and Phishing", Symposium on Usable Privacy and Security (SOUPS), pp. 115-129, 2017 [PDF]
• S. Zong, B. Kveton, S. Berkovsky, A. Ashkan, Z. Wen, "Get to the Bottom: Causal Analysis for User Modeling", Int. Conf. on User Modeling, Adaptation, and Personalization (UMAP), pp. 256-264, 2017 [Best Paper Award Nomination] [PDF]
• J. Zhou, S.Z. Arshad, S. Luo, K. Yu, S. Berkovsky, F. Chen, "Indexing Cognitive Load using Blood Volume Pulse Features", Int. Conf. on Human Factors in Computing Systems (CHI), pp. 2269-2275, 2017 [PDF]
• S. Zong, B. Kveton, S. Berkovsky, A. Ashkan, N. Vlassis, Z. Wen, "Does Weather Matter? Causal Analysis of TV Logs", Int. World Wide Web Conf. (WWW), Companion Volume, pp. 883-884, 2017 [PDF]
• L. Luo, B. Li, S. Berkovsky, I. Koprinska, F. Chen, "Online Engagement for a Healthier You: A Case Study of Web-based Supermarket Health Program", Int. World Wide Web Conf. (WWW), pp. 1053-1062, 2017 [PDF]
• S. Berkovsky, R. Taib, D. Conway, "How to Recommend? User Trust Factors in Movie Recommender Systems", Int. Conf. on Intelligent User Interfaces (IUI), pp. 287-300, 2017 [PDF]
• K. Yu, S. Berkovsky, R. Taib, D. Conway, J. Zhou, F. Chen, "User Trust Dynamics: An Investigation Driven by Differences in System Performance", Int. Conf. on Intelligent User Interfaces (IUI), pp. 307-317, 2017 [PDF]

Workshops

• S.Z. Arshad, J. Zhou, S. Berkovsky, F. Chen, "Human-In-The-Loop Machine Learning with Intelligent Multimodal Interfaces", Workshop on Human-in-the-Loop Machine Learning, 2017 [PDF]

Journals

• A. Friedman, S. Berkovsky, M.A. Kaafar, "A Differential Privacy Framework for Matrix Factorization Recommender Systems", User Modeling and User-Adapted Interaction (UMUAI), vol. 26(5), pp. 425-468, 2016 [PDF]
• B. Kveton, S. Berkovsky, "Minimal Interaction Content Discovery in Recommender Systems", ACM Transactions on Interactive Intelligent Systems (TiiS), vol. 6(2), e. 15, 2016 [PDF]

Conferences

• L. Luo, B. Li, I. Koprinska, S. Berkovsky, F. Chen, "Discovering Temporal Purchase Patterns with Different Responses to Promotions", Int. Conf. on Information and Knowledge Management (CIKM), pp. 2197-2202, 2016 [PDF]
• M.S. Hussain, L. Cripwell, S. Berkovsky, J. Freyne, "Promoting UV Exposure Awareness with Persuasive Wearable Technologies", Australian National Health Informatics Conf. (HIC), pp. 48-54, 2016 [Best Academic Paper Award] [PDF]
• K. Yu, S. Berkovsky, D. Conway, R. Taib, J. Zhou, F. Chen, "Trust and Reliance Based on System Accuracy", Int. Conf. on User Modeling, Adaptation, and Personalization (UMAP), pp. 223-227, 2016 [PDF]
• L. Luo, B. Li, I. Koprinska, S. Berkovsky, F. Chen, "Who will be Affected by Supermarket Health Programs? Tracking Customer Behavior Changes via Preference Modeling", Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD), pp. 527-539, 2016 [PDF]

Workshops

• S. Berkovsky, M. Kaptein, M. Zancanaro, "Adaptivity and Personalization in Persuasive Technologies", Workshop on Personalization in Persuasive Technology, 2016 [PDF]

Journals

• S. Berkovsky, J. Freyne, "Personalized Social Network Activity Feeds for Increased Interaction and Content Contribution", Frontiers in Robotics and Artificial Intelligence, vol. 2, e. 24, 2015 [PDF]

Books/Edited

• A. Friedman, B. Knijnenburg, K. Vanhecke, L. Martens, S. Berkovsky, "Privacy Aspects of Recommender Systems", in F. Ricci, L. Rokach, B. Shapira: Recommender Systems Handbook, pp. 649-688, Springer, 2015 [PDF]
• I. Cantador, I. Fernández-Tobias, S. Berkovsky, P. Cremonesi, "Cross-Domain Recommender Systems", in F. Ricci, L. Rokach, B. Shapira: Recommender Systems Handbook, pp. 919-960, Springer, 2015 [PDF]
• S. Berkovsky, J. Freyne, "Network Activity Feed: Finding Needles in a Haystack", in M. Atzmueller, A. Chin, C. Scholz, C. Trattner: Mining, Modeling, and Recommending Things in Social Media, pp. 21-34, Springer, 2015 [PDF]

Conferences

• K. Medvediev, G. Xu, S. Berkovsky, Y. Onikienko, "An Analysis of New Visitors' Website Behaviour before and after TV Advertising", Int. Conf. on Behavioral, Economic, and Socio-Cultural Computing (BESC), pp. 109-115, 2015 [PDF]
• D. Vallet, S. Berkovsky, S. Ardon, A. Mahanti, M.A. Kaafar, "Characterizing and Predicting Viral-and-Popular Video Content", Int. Conf. on Information and Knowledge Management (CIKM), pp. 1591-1600, 2015 [PDF]
• A. Berlioz, A. Friedman, M.A. Kaafar, R. Boreli, S. Berkovsky, "Applying Differential Privacy to Matrix Factorization", Recommender Systems Conf. (RecSys), pp. 107-114, 2015 [Best Paper Award Runner-Up] [PDF]
• O. Sar-Shalom, S. Berkovsky, R. Ronen, E. Ziklik, A. Amir, "Data Quality Matters in Recommender Systems", Recommender Systems Conf. (RecSys), pp. 257-260, 2015 [PDF]
• S. Berkovsky, G. Hendrie, M. Noakes, J. Freyne, K. Usic, "The HealthierU Portal for Supporting Behaviour Change and Diet Programs", Australian National Health Informatics Conf. (HIC), pp. 15-21, 2015 [PDF]
• A. Ashkan, B. Kveton, S. Berkovsky, Z. Wen, "Optimal Greedy Diversity for Recommendations", Int. Joint Conf. on Artificial Intelligence (IJCAI), pp. 1742-1748, 2015 [PDF]
• B. Kveton, S. Berkovsky, "Minimal Interaction Search in Recommender Systems", Int. Conf. on Intelligent User Interfaces (IUI), pp. 236-246, 2015 [PDF]

Workshops

• M. Elahi, M. Ge, F. Ricci, I. Fernández-Tobias, S. Berkovsky, M. David, "Interaction Design in a Mobile Food Recommender System", Workshop on Interfaces and Human Decision Making for Recommender Systems, 2015 [PDF]

Conferences

• M. Elahi, M. Ge, F. Ricci, M. David, S. Berkovsky, "Interactive Food Recommendation for Groups", Recommender Systems Conf. Posters (RecSys), e. 2, 2014 [PDF]
• A. Ashkan, B. Kveton, S. Berkovsky, Z. Wen, "Diversified Utility Maximization for Recommendations", Recommender Systems Conf. Posters (RecSys), e. 13, 2014 [PDF]
• A. Tiroshi, S. Berkovsky, M.A. Kaafar, D. Vallet, T. Kuflik, "Graph-Based Recommendations: Make the Most out of Social Data", Int. Conf. on User Modeling, Adaptation, and Personalization (UMAP), pp. 447-458, 2014 [PDF]
• D. Vallet, A. Friedman, S. Berkovsky, "Matrix Factorization without User Data Retention", Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD), pp. 569-580, 2014 [PDF]
• A. Tiroshi, S. Berkovsky, M.A. Kaafar, D. Vallet, T. Chen, T. Kuflik, "Improving Business Rating Predictions Using Graph Based Features", Int. Conf. on Intelligent User Interfaces (IUI), pp. 17-26, 2014 [PDF]

Journals

• J. Freyne, S. Berkovsky, G. Smith, "Rating Bias and Preference Acquisition", ACM Transactions on Interactive Intelligent Systems (TiiS), vol. 3(3), e. 19, 2013 [PDF]
• E. Brindal, G. Hendrie, J. Freyne, M. Coombe, S. Berkovsky, M. Noakes, "Design and Pilot Results of a Mobile Phone Weight-Loss Application for Women Starting a Meal Replacement Programme", Journal of Telemedicine and Telecare, vol. 19(3), pp. 166-174, 2013 [PDF]
• P. De Bra, J. Freyne, S. Berkovsky, "Introduction to the Special Issue on Adaptive Hypermedia", New Review of Hypermedia and Multimedia (NRHM), vol. 19(2), pp. 81-83, 2013 [PDF]
• M.A. Kaafar, S. Berkovsky, B. Donnet, "On the Potential of Recommendation Technologies for Efficient Content Delivery Networks", Computer Communication Review (CCR), vol. 43(3), pp. 74-77, 2013 [PDF]
• A. Said, S. Berkovsky, E.W. De Luca, "Movie Recommendation in Context", ACM Transactions on Intelligent Systems and Technology (TIST), vol. 4(1), e. 13, 2013 [PDF]

Books/Edited

• S. Berkovsky, E. Herder, P. Lops, O. Santos, "Extended Proceedings of the International Conference on User Modeling, Adaptation, and Personalization", CEUR-WS Proceedings, vol. 997, 2013 [link]
• S. Berkovsky, J. Freyne, "Proceedings of the 8th International Conference on Persuasive Technology", Springer Lecture Notes in Computer Science, vol. 7822, ISBN 978-3-6423-7156-1, 2013 [PDF]
• S. Berkovsky, J. Freyne, "Adjunct Proceedings of the 8th International Conference on Persuasive Technology", CEUR-WS Proceedings, vol. 973, 2013 [link]
• J. Freyne, S. Berkovsky, G. Smith, "Evaluating Recommender Systems for Supportive Technologies", in E. Martin, P. Haya, R. Carro: User Modeling and Adaptation for Daily Routines, pp. 195-217, Springer, 2013 [PDF]

Conferences

• M. Xu, S. Berkovsky, S. Ardon, S. Triukose, A. Mahanti, I. Koprinska, "Catch-up TV Recommendations: Show Old Favourites and Find New Ones", Recommender Systems Conf. (RecSys), pp. 285-293, 2013 [PDF]
• A. Tiroshi, S. Berkovsky, M.A. Kaafar, T. Chen, T. Kuflik, "Cross Social Network Interests Predictions Based on Graph Features", Recommender Systems Conf. (RecSys), pp. 319-322, 2013 [PDF]
• A. Tiroshi, T. Kuflik, S. Berkovsky, "Inform or Flood: Estimating When Retweets Duplicate", Int. Conf. on User Modeling, Adaptation, and Personalization (UMAP), pp. 267-273, 2013 [PDF]
• P. Burns, C. Lueg, S. Berkovsky, "Colours that Move you: Persuasive Ambient Activity Displays", Int. Conf. on Persuasive Technology (PT), pp. 27-32, 2013 [PDF]

Workshops

• S. Berkovsky, S. Ardon, "Deep Modeling: Emotion-Based Modeling of Video Content Viewers", Workshop on Exploring and Enhancing the User Experience for Television, 2013 [PDF]

Journals

• S. Berkovsky, J. Freyne, M. Coombe, "Physical Activity Motivating Games: Be Active and Get Your Own Rewards", ACM Transactions on Computer-Human Interaction (TOCHI), vol. 19(4), e. 32, 2012 [PDF]
• E. Brindal, J. Freyne, I. Saunders, S. Berkovsky, G. Smith, M. Noakes, "Features Predicting Weight Loss in Overweight or Obese Participants in a Web-Based Intervention: Randomized Trial", Journal of Medical Internet Research (JMIR), vol. 14(6), e. 173, 2012 [PDF]
• S. Berkovsky, J. Freyne, H. Oinas-Kukkonen, "Influencing Individually: Fusing Personalization and Persuasion", ACM Transactions on Interactive Intelligent Systems (TiiS), vol. 2(2), e. 9, 2012 [PDF]
• S. Berkovsky, T. Kuflik, F. Ricci, "The Impact of Data Obfuscation on the Accuracy of Collaborative Filtering", Expert Systems with Applications (ESWA), vol. 39(5), pp. 5033-5042, 2012 [PDF]

Conferences

• S. Berkovsky, J. Freyne, G. Smith, "Personalized Network Updates: Increasing Social Interactions and Contributions in Social Networks", Int. Conf. on User Modeling, Adaptation, and Personalization (UMAP), pp. 1-13, 2012 [Best Paper Award Nomination] [PDF]
• J. Freyne, E. Brindal, G. Hendrie, S. Berkovsky, M. Coombe, "Mobile Applications to Support Dietary Change: Highlighting the Importance of Evaluation Context", Int. Conf. on Human Factors in Computing Systems (CHI), pp. 1781-1786, 2012 [PDF]
• P. Burns, C. Lueg, S. Berkovsky, "ActivMON: Encouraging Physical Activity through Ambient Social Awareness", Int. Conf. on Human Factors in Computing Systems (CHI), pp. 2363-2368, 2012 [PDF]
• J. Freyne, I. Saunders, E. Brindal, S. Berkovsky, G. Smith, "Factors Associated with Persistence of Participation in an Online Diet Interventions", Int. Conf. on Human Factors in Computing Systems (CHI), pp. 2375-2380, 2012 [PDF]

Workshops

• P. Burns, C. Lueg, S. Berkovsky, "Empower Everybody – Designing Persuasive Wearable Technology for User Empowerment", Body in Design Workshop, 2012 [PDF]
• M. Xu, S. Berkovsky, I. Koprinska, S. Ardon, K. Yacef, "Time Dependency in TV Viewer Clustering", Workshop on TV and Multimedia Personalization, 2012 [PDF]
• J. Freyne, S. Berkovsky, G. Smith, "Experiences with Recommender Systems for Dietary Planning", Workshop on Food and Interaction Design, 2012 [PDF]
• P. Burns, C. Lueg, S. Berkovsky, "Using Personal Informatics to Motivate Physical Activity: Could we be Doing it Wrong?", Workshop on Personal Informatics in Practice, 2012 [PDF]

Journals

• S. Berkovsky, C. Lueg, G. Verdouw, "Encouraging Physical Activities during Long-Distance Travel", IEEE Pervasive Computing, vol. 10(4), e. 54, 2011 [PDF]
• N. Baghaei, S. Kimani, J. Freyne, E. Brindal, S. Berkovsky, G. Smith, "Engaging Families in Lifestyle Changes through Social Networking", International Journal of Human-Computer Interaction (IJHCI), vol. 27(10), pp. 971-990, 2011 [PDF]

Books/Edited

• A. Said, S. Berkovsky, E.W. De Luca, J. Hermanns, "Proceedings of the Workshop and Challenge on Context-Aware Movie Recommendation", ACM Conference Proceedings, ISBN 978-1-4503-0825-0, 2011 [link]

Conferences

• J. Freyne, S. Berkovsky, G. Smith, "Recipe Recommendation: Accuracy and Reasoning", Int. Conf. on User Modeling, Adaptation, and Personalization (UMAP), pp. 99-110, 2011 [PDF]
• S. Berkovsky, J. Freyne, S. Kimani, G. Smith, "Selecting Items of Relevance in Social Network Feeds", Int. Conf. on User Modeling, Adaptation, and Personalization (UMAP), pp. 329-334, 2011 [PDF]
• J. Freyne, S. Berkovsky, N. Baghaei, S. Kimani, G. Smith, "Personalized Techniques for Lifestyle Change", Conf. on Artificial Intelligence in Medicine (AIME), pp. 139-148, 2011 [PDF]
• P. Burns, C. Lueg, S. Berkovsky, "ActivMON: A Wearable Ambient Activity Display", Conf. on Mobile and Ubiquitous Information Systems (MMS), pp. 11-24, 2011 [PDF]

Journals

• S. Berkovsky, J. Freyne, "An Analysis of Group Recommendation Strategies", Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), vol. 14(6), pp. 729-734, 2010 [PDF]
• S. Berkovsky, J. Freyne, M. Coombe, D. Bhandari, N. Baghaei, S. Kimani, "Exercise and Play: Earn in the Physical, Spend in the Virtual", International Journal of Cognitive Technology, vol. 14(2)-15(1), pp. 22-31, 2010 [PDF]

Books/Edited

• S. Berkovsky, E.W. De Luca, A. Said, "Proceedings of the Workshop and Challenge on Context-Aware Movie Recommendation", ACM Conference Proceedings, ISBN 978-1-4503-0258-6, 2010 [link]

Conferences

• J. Freyne, S. Berkovsky, S. Kimani, N. Baghaei, E. Brindal, "Social Network Activity Feeds to Drive Information Access", Int. Symposium on Computer-Based Medical Systems (CBMS), pp. 334-339, 2010 [PDF]
• S. Berkovsky, J. Freyne, "Group-Based Recipe Recommendations: An Analysis of Data Aggregation Strategies", Recommender Systems Conf. (RecSys), pp. 111-118, 2010 [PDF]
• S. Berkovsky, J. Freyne, M. Coombe, D. Bhandari, "Recommender Algorithms in Activity Motivating Games", Recommender Systems Conf. (RecSys), pp. 175-182, 2010 [PDF]
• J. Freyne, S. Berkovsky, E. Daly, W. Geyer, "Social Networking Feeds: Recommending Items of Interest", Recommender Systems Conf. (RecSys), pp. 277-280, 2010 [PDF]
• J. Freyne, S. Berkovsky, "Recommending Food: Reasoning on Recipes and Ingredients", Int. Conf. on User Modeling, Adaptation, and Personalization (UMAP), pp. 381-386, 2010 [PDF]
• S. Berkovsky, M. Coombe, J. Freyne, D. Bhandari, N. Baghaei, "Physical Activity Motivating Games: Virtual Rewards for Real Activity", Int. Conf. on Human Factors in Computing Systems (CHI), pp. 243-252, 2010 [PDF]
• S. Kimani, N. Baghaei, J. Freyne, S. Berkovsky, D. Bhandari, G. Smith, "Gender and Role Differences in Family-Based Healthy Living Networks", Int. Conf. on Human Factors in Computing Systems (CHI), pp. 4219-4224, 2010 [PDF]
• S. Berkovsky, M. Coombe, R. Helmer, "Activity Interface for Physical Activity Motivating Games", Int. Conf. on Intelligent User Interfaces (IUI), pp. 273-276, 2010 [PDF]
• J. Freyne, S. Berkovsky, "Intelligent Food Planning: Personalized Recipe Recommendation", Int. Conf. on Intelligent User Interfaces (IUI), pp. 321-324, 2010 [PDF]
• S. Kimani, S. Berkovsky, G. Smith, J. Freyne, N. Baghaei, D. Bhandari, "Activity Awareness in Family-Based Healthy Living Online Social Networks", Int. Conf. on Intelligent User Interfaces (IUI), pp. 337-340, 2010 [PDF]

Workshops

• A. Said, S. Berkovsky, E.W. De Luca, "Putting Things in Context: Challenge on Context-Aware Movie Recommendation", Workshop and Challenge on Context-Aware Movie Recommendation, 2010 [PDF]

Journals

• S. Berkovsky, T. Kuflik, F. Ricci, "Cross-Representation Mediation of User Models", User Modeling and User-Adapted Interaction (UMUAI), vol. 19(1-2), pp. 35-63, 2009 [PDF]

Books/Edited

• T. Kuflik, S. Berkovsky, F. Carmagnola, D. Heckmann, A. Krüger, "Advances in Ubiquitous User Modeling", Springer Lecture Notes in Computer Science, vol. 5830, ISBN 978-3-6420-5038-1, 2009 [PDF]
• S. Berkovsky, "Mediation of User Models for Enhanced Personalization in Recommender Systems", VDM Verlag, ISBN 978-3-6391-5099-5, 2009 [PDF]
• S. Berkovsky, D. Heckmann, T. Kuflik, "Addressing Challenges of Ubiquitous User Modeling: Between Mediation and Semantic Integration", in T. Kuflik, S. Berkovsky, F. Carmagnola, D. Heckmann, A. Krüger: Advances in Ubiquitous User Modelling, pp. 1-19, Springer, 2009 [PDF]

Conferences

• S. Berkovsky, J. Freyne, M. Coombe, "Aggregation Trade-Offs in Family Based Recommendations", Australasian Joint Conf. on Artificial Intelligence (AusAI), pp. 646-655, 2009 [PDF]
• N. Baghaei, J. Freyne, S. Kimani, G. Smith, S. Berkovsky, D. Bhandari, N. Colineau, C. Paris, "SOFA: An Online Social Network for Engaging and Motivating Families to Adopt a Healthy Lifestyle", Annual Conf. of the Australian Computer-Human Interaction Special Interest Group (OZCHI), pp. 269-272, 2009 [PDF]
• S. Berkovsky, J. Freyne, M. Coombe, D. Bhandari, N. Baghaei, "Physical Activity Motivating Games: You can PLAY, MATE!", Annual Conf. of the Australian Computer-Human Interaction Special Interest Group (OZCHI), pp. 273-276, 2009 [PDF]
• S. Berkovsky, D. Bhandari, S. Kimani, N. Colineau, C. Paris, "Designing Games to Motivate Physical Activity", Int. Conf. on Persuasive Technology (PT), pp. 37-40, 2009 [PDF]

Workshops

• N. Baghaei, S. Kimani, J. Freyne, G. Smith, S. Berkovsky, D. Bhandari, "Engaging Families to Adopt a Healthy Lifestyle through an Online Social Network", Designing for Healthy Living Workshop, 2009 [PDF]

Journals

• F. Bohnert, I. Zukerman, S. Berkovsky, T. Baldwin, E. Sonenberg, "Using Interest and Transition Models to Predict Visitor Locations in Museums", Artificial Intelligence Communications, vol. 21(2-3), pp. 195-202, 2008 [PDF]
• S. Berkovsky, T. Kuflik, F. Ricci, "Mediation of User Models for Enhanced Personalization in Recommender Systems", User Modeling and User-Adapted Interaction (UMUAI), vol. 18(3), pp. 245-286, 2008 [PDF]

Books/Edited

• S. Berkovsky, Y. Eytani, L. Manevitz, "Efficient Collaborative Filtering in Content-Addressable Spaces", in G. Uchyigit, M. Ma: Personalization Techniques and Recommender Systems, pp. 135-164, World Scientific, 2008 [PDF]

Conferences

• Y. Ben-Asher, S. Berkovsky, P. Busetta, Y. Eytani, S. Jbara, T. Kuflik, "Adaptive Retrieval of Semi-Structured Data", Int. Conf. on Adaptive Hypermedia and Adaptive Web-Based Systems (AH), pp. 32-41, 2008 [PDF]
• F. Bohnert, I. Zukerman, S. Berkovsky, T. Baldwin, E. Sonenberg, "Using Collaborative Models to Adaptively Predict Visitor Locations in Museums", Int. Conf. on Adaptive Hypermedia and Adaptive Web-Based Systems (AH), pp. 42-51, 2008 [PDF]
• S. Berkovsky, T. Baldwin, I. Zukerman, "Aspect-Based Personalized Text Summarization", Int. Conf. on Adaptive Hypermedia and Adaptive Web-Based Systems (AH), pp. 267-270, 2008 [PDF]

Workshops

• N. Colineau, C. Paris, S. Berkovsky, "Engaging Families in Sustainable Healthy Living", Workshop on Designing for Families, 2008 [PDF]

Journals

• S. Berkovsky, T. Kuflik, F. Ricci, "P2P Case Retrieval with an Unspecified Ontology", Artificial Intelligence Review (AI Review), vol. 28(3), pp. 227-255, 2007 [PDF]
• S. Berkovsky, Y. Eytani, L. Manevitz, "Efficient Collaborative Filtering in Content-Addressable Spaces", International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), vol. 21(2), pp. 265-289, 2007 [PDF]

Books/Edited

• S. Berkovsky, Y. Eytani, L. Manevitz, "Retrieval of Collaborative Filtering Nearest Neighbors in a Content-Addressable Space", in Y. Manolopoulos, J. Filipe, P. Constantopoulos, J. Cordeiro: Enterprise Information Systems VIII, pp. 159-178, Springer, 2007 [PDF]

Conferences

• S. Berkovsky, Y. Eytani, T. Kuflik, F. Ricci, "Enhancing Privacy and Preserving Accuracy of a Distributed Collaborative Filtering", Recommender Systems Conf. (RecSys), pp. 9-16, 2007 [PDF]
• S. Berkovsky, T. Kuflik, F. Ricci, "Distributed Collaborative Filtering with Domain Specialization", Recommender Systems Conf. (RecSys), pp. 33-40, 2007 [PDF]
• S. Berkovsky, T. Kuflik, F. Ricci, "Cross-Domain Mediation in Collaborative Filtering", Int. Conf. on User Modeling (UM), pp. 365-369, 2007 [PDF]

Workshops

• S. Berkovsky, L. Aroyo, D. Heckmann, G.-J. Houben, A. Kröner, T. Kuflik, F. Ricci, "Providing Context-Aware Personalization through Cross-Context Reasoning of User Modeling Data", Workshop on Decentralized and Ubiquitous User Modeling, 2007 [PDF]
• S. Berkovsky, N. Borisov, Y. Eytani, T. Kuflik, F. Ricci, "Examining Users' Attitude towards Privacy-Preserving Collaborative Filtering", Workshop on Data Mining for User Modeling, 2007 [PDF]
• S. Berkovsky, A. Gorfinkel, T. Kuflik, L. Manevitz, "Evaluation of User Model Effectiveness by Simulation", Workshop on Personalization-Enhanced Access to Cultural Heritage, 2007 [PDF]

Journals

• Y. Ben-Asher, S. Berkovsky, "Semantic Data Management in Peer-to-Peer E-Commerce Applications", Journal on Data Semantics (JoDS), vol. 6, pp. 115-142, 2006 [PDF]

Conferences

• S. Berkovsky, D. Goldwasser, T. Kuflik, F. Ricci, "Identifying Inter-Domain Similarities through Content-Based Analysis of Hierarchical Web-Directories", European Conf. on Artificial Intelligence (ECAI), pp. 789-790, 2006 [PDF]
• S. Berkovsky, T. Kuflik, F. Ricci, "Cross-Technique Mediation of User Models", Int. Conf. on Adaptive Hypermedia and Adaptive Web-Based Systems (AH), pp. 21-30, 2006 [Best Paper Award] [PDF]
• S. Berkovsky, "Decentralized Mediation of User Models for a Better Personalization", Int. Conf. on Adaptive Hypermedia and Adaptive Web-Based Systems (AH), pp. 404-408, 2006 [PDF]
• S. Berkovsky, Y. Eytani, L. Manevitz, "Collaborative Filtering Based on Content-Addressing", Int. Conf. on Enterprise Information Systems (ICEIS), pp. 91-98, 2006 [PDF]
• Y. Ben-Asher, S. Berkovsky, Y. Eytani, "Management of Unspecified Semi-Structured Data in a Multi-Agent Environment", Symposium on Applied Computing (SAC), pp. 101-105, 2006 [PDF]

Workshops

• S. Berkovsky, L. Aroyo, D. Heckmann, G.-J. Houben, A. Kröner, T. Kuflik, F. Ricci, "Predicting User Experiences through Cross-Context Reasoning", Workshop on Adaptivity and User Modeling in Interactive Systems, 2006 [PDF]
• S. Berkovsky, T. Kuflik, F. Ricci, "Enhancing Privacy while Preserving the Accuracy of Collaborative Filtering", Workshop on Recommender Systems, 2006 [PDF]
• S. Berkovsky, A. Gorfinkel, T. Kuflik, L. Manevitz, "Case-Based to Content-Based User Model Mediation", Workshop on Ubiquitous User Modeling, 2006 [PDF]
• S. Berkovsky, Y. Eytani, T. Kuflik, F. Ricci, "Hierarchical Neighborhood Topology for Privacy-Enhanced Collaborative Filtering", Workshop on Privacy-Enhanced Personalization, 2006 [PDF]

Journals

• Y. Ben-Asher, S. Berkovsky, E. Gelzin, A. Tammam, M. Vilkhov, E. Shmueli, "Using J2EE/.NET Clusters for Parallel Computations of Join Queries in Distributed Databases", Journal of Digital Information Management (JDIM), vol. 3(2), pp. 76-81, 2005 [PDF]

Conferences

• S. Berkovsky, T. Kuflik, F. Ricci, "Entertainment Personalization Mechanism through Cross-Domain User Modeling", Int. Conf. on Intelligent Technologies for Interactive Entertainment (INTETAIN), pp. 215-219, 2005 [PDF]
• S. Berkovsky, Y. Eytani, A. Gal, "Measuring the Relative Performance of Schema Matchers", Int. Conf. on Web Intelligence (WI), pp. 366-371, 2005 [PDF]
• S. Berkovsky, T. Kuflik, F. Ricci, "P2P Case Retrieval with an Unspecified Ontology", Int. Conf. on Case-Based Reasoning (ICCBR), pp. 91-105, 2005 [PDF]
• S. Berkovsky, "Ubiquitous User Modeling in Recommender Systems", Int. Conf. on User Modeling (UM), pp. 496-498, 2005 [PDF]

Workshops

• S. Berkovsky, Y. Eytani, A. Gal, "Unspecified Ontologies for eGovernment Web Services Composition and Orchestration", Workshop on Semantics and Orchestration of eGovernment Processes, 2005 [PDF]
• S. Berkovsky, P. Busetta, Y. Eytani, T. Kuflik, F. Ricci, "Collaborative Filtering over Distributed Environment", Workshop on Decentralized, Agent-Based and Social Approaches to User Modeling, 2005 [PDF]
• S. Berkovsky, Y. Eytani, T. Kuflik, F. Ricci, "Privacy-Enhanced Collaborative Filtering", Workshop on Privacy-Enhanced Personalization, 2005 [PDF]
• S. Berkovsky, Y. Eytani, "Semantic Platform for Context-Aware Publish/Subscribe M-Commerce", Workshop on Ubiquitous Networks and Enablers to Context Aware Services, 2005 [PDF]

Conferences

• Y. Ben-Asher, S. Berkovsky, "UNSO: Unspecified Ontologies for Peer-to-Peer E-Commerce Applications", Int. Conf. on Informatics (ICI), pp. 11-18, 2004 [PDF]
• S. Berkovsky, Y. Eytani, E. Furman, U. Makov, "Developing a Framework for Insurance Underwriting Expert System", Int. Conf. on Informatics (ICI), pp. 191-197, 2004 [PDF]
• Y. Ben-Asher, S. Berkovsky, A. Tammam, E. Shmueli, "Using a J2EE Cluster for Parallel Computation of Join Queries in Distributed Databases", Int. Symposium on Parallel and Distributed Computing (ISPDC), pp. 58-63, 2004 [PDF]