Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDShlomo Berkovsky
Person information
- affiliation: CSIRO
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[j39]Hao Xiong, Sidong Liu
, Roneel V. Sharan, Enrico W. Coiera, Shlomo Berkovsky:
Weak label based Bayesian U-Net for optic disc segmentation in fundus images. Artif. Intell. Medicine 126: 102261 (2022)- [j38]Dana Rezazadegan, Shlomo Berkovsky, Juan C. Quiroz, Ahmet Baki Kocaballi, Ying Wang, Liliana Laranjo, Enrico W. Coiera:
Symbolic and Statistical Learning Approaches to Speech Summarization: A Scoping Review. Comput. Speech Lang. 72: 101305 (2022) - [j37]Hao Xiong, Hoai Nam Phan, Kathleen Yin, Shlomo Berkovsky, Joshua Jung, Annie Y. S. Lau:
Identifying daily activities of patient work for type 2 diabetes and co-morbidities: a deep learning and wearable camera approach. J. Am. Medical Informatics Assoc. 29(8): 1400-1408 (2022) - [j36]Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song:
Colour adaptive generative networks for stain normalisation of histopathology images. Medical Image Anal. 82: 102580 (2022) - [j35]Kiran Ijaz, Tram Thi Minh Tran, Ahmet Baki Kocaballi, Rafael A. Calvo, Shlomo Berkovsky, Naseem Ahmadpour:
Design Considerations for Immersive Virtual Reality Applications for Older Adults: A Scoping Review. Multimodal Technol. Interact. 6(7): 60 (2022) - [c109]Roneel V. Sharan, Hao Xiong, Shlomo Berkovsky:
Detecting Cough Recordings in Crowdsourced Data Using CNN-RNN. BHI 2022: 1-4 - [c108]Cong Cong, Yixing Yang, Sidong Liu, Maurice Pagnucco, Antonio Di Ieva, Shlomo Berkovsky, Yang Song:
Adaptive Unified Contrastive Learning for Imbalanced Classification. MLMI@MICCAI 2022: 348-357 - [c107]David Fraile Navarro, Mark Dras, Shlomo Berkovsky:
Few-shot fine-tuning SOTA summarization models for medical dialogues. NAACL-HLT (Student Research Workshop) 2022: 254-266 - [p5]Rahat Masood, Shlomo Berkovsky, Mohamed Ali Kâafar:
Tracking and Personalization. Modern Socio-Technical Perspectives on Privacy 2022: 171-202 - [p4]Vivian Genaro Motti, Shlomo Berkovsky:
Healthcare Privacy. Modern Socio-Technical Perspectives on Privacy 2022: 203-231 - [r3]Maurizio Ferrari Dacrema, Iván Cantador, Ignacio Fernández-Tobías, Shlomo Berkovsky, Paolo Cremonesi:
Design and Evaluation of Cross-Domain Recommender Systems. Recommender Systems Handbook 2022: 485-516 - [i9]Benjamin Tag, Niels van Berkel, Sunny Verma, Benjamin Zi Hao Zhao, Shlomo Berkovsky, Dali Kaafar, Vassilis Kostakos, Olga Ohrimenko:
DDoD: Dual Denial of Decision Attacks on Human-AI Teams. CoRR abs/2212.03980 (2022) - 2021
- [j34]Roneel V. Sharan, Shlomo Berkovsky, David Fraile Navarro, Hao Xiong, Adam Jaffe:
Detecting pertussis in the pediatric population using respiratory sound events and CNN. Biomed. Signal Process. Control. 68: 102722 (2021) - [j33]Shoujin Wang, Longbing Cao, Liang Hu, Shlomo Berkovsky, Xiaoshui Huang, Lin Xiao, Wenpeng Lu:
Hierarchical Attentive Transaction Embedding With Intra- and Inter-Transaction Dependencies for Next-Item Recommendation. IEEE Intell. Syst. 36(4): 56-64 (2021) - [j32]Juan C. Quiroz, Liliana Laranjo, Catalin Tufanaru, Ahmet Baki Kocaballi, Dana Rezazadegan, Shlomo Berkovsky, Enrico W. Coiera:
Empirical analysis of Zipf's law, power law, and lognormal distributions in medical discharge reports. Int. J. Medical Informatics 145: 104324 (2021) - [j31]Hao Xiong, Yuan Yan Tang, Fionn Murtagh, Leszek Rutkowski, Shlomo Berkovsky:
A diversified shared latent variable model for efficient image characteristics extraction and modelling. Neurocomputing 421: 244-259 (2021) - [j30]You-Zhen Feng, Sidong Liu, Zhong-Yuan Cheng, Juan C. Quiroz, Dana Rezazadegan, Ping-Kang Chen, Qi-Ting Lin, Long Qian, Xiao-Fang Liu, Shlomo Berkovsky, Enrico W. Coiera, Lei Song, Xiao-Ming Qiu, Xiang-Ran Cai:
Severity Assessment and Progression Prediction of COVID-19 Patients Based on the LesionEncoder Framework and Chest CT. Inf. 12(11): 471 (2021) - [j29]Gioacchino Tangari, Muhammad Ikram, I Wayan Budi Sentana, Kiran Ijaz, Mohamed Ali Kâafar, Shlomo Berkovsky:
Analyzing security issues of android mobile health and medical applications. J. Am. Medical Informatics Assoc. 28(10): 2074-2084 (2021) - [j28]Hao Xiong, Shlomo Berkovsky, Mia Romano, Roneel V. Sharan, Sidong Liu, Enrico W. Coiera, Lauren F. McLellan:
Prediction of anxiety disorders using a feature ensemble based bayesian neural network. J. Biomed. Informatics 123: 103921 (2021) - [j27]Roneel V. Sharan, Hao Xiong, Shlomo Berkovsky:
Benchmarking Audio Signal Representation Techniques for Classification with Convolutional Neural Networks. Sensors 21(10): 3434 (2021) - [j26]Shlomo Berkovsky, Enrico W. Coiera:
Health personalisation: from wellbeing to medicine. SIGWEB Newsl. 2021(Summer): 4:1-4:7 (2021) - [c106]Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song:
Texture Enhanced Generative Adversarial Network For Stain Normalisation In Histopathology Images. ISBI 2021: 1949-1952 - [c105]Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song:
Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images. MICCAI (8) 2021: 581-591 - [c104]I Wayan Budi Sentana, Muhammad Ikram, Mohamed Ali Kâafar, Shlomo Berkovsky:
Empirical Security and Privacy Analysis of Mobile Symptom Checking Apps on Google Play. SECRYPT 2021: 665-673 - [i8]I Wayan Budi Sentana, Muhammad Ikram, Mohamed Ali Kâafar, Shlomo Berkovsky:
Empirical Security and Privacy Analysis of Mobile Symptom Checking Applications on Google Play. CoRR abs/2107.13754 (2021) - 2020
- [j25]Juan C. Quiroz, Liliana Laranjo, Ahmet Baki Kocaballi, Agustina Briatore, Shlomo Berkovsky, Dana Rezazadegan, Enrico W. Coiera:
Identifying relevant information in medical conversations to summarize a clinician-patient encounter. Health Informatics J. 26(4): 2906-2914 (2020) - [j24]Ronnie Taib, Shlomo Berkovsky:
Modeling humans via physiological and behavioral signals. Interactions 27(3): 30-34 (2020) - [j23]Ahmet Baki Kocaballi, Kiran Ijaz, Liliana Laranjo, Juan C. Quiroz, Dana Rezazadegan, Huong Ly Tong, Simon Willcock, Shlomo Berkovsky, Enrico W. Coiera:
Envisioning an artificial intelligence documentation assistant for future primary care consultations: A co-design study with general practitioners. J. Am. Medical Informatics Assoc. 27(11): 1695-1704 (2020) - [j22]Ronnie Taib, Shlomo Berkovsky, Irena Koprinska, Eileen Wang, Yucheng Zeng, Jingjie Li:
Personality Sensing: Detection of Personality Traits Using Physiological Responses to Image and Video Stimuli. ACM Trans. Interact. Intell. Syst. 10(3): 18:1-18:32 (2020) - [j21]Dietmar Jannach, Bamshad Mobasher, Shlomo Berkovsky:
Research directions in session-based and sequential recommendation. User Model. User Adapt. Interact. 30(4): 609-616 (2020) - [c103]Veronika Bogina, Julia Sheidin, Tsvi Kuflik, Shlomo Berkovsky:
Visualizing Program Genres' Temporal-Based Similarity in Linear TV Recommendations. AVI 2020: 69:1-69:5 - [c102]Ahmet Baki Kocaballi, Enrico W. Coiera, Shlomo Berkovsky:
Revisiting Habitability in Conversational Systems. CHI Extended Abstracts 2020: 1-8 - [c101]Roneel V. Sharan, Shlomo Berkovsky, Ronnie Taib, Irena Koprinska, Jingjie Li:
Detecting Personality Traits Using Inter-Hemispheric Asynchrony of the Brainwaves. EMBC 2020: 62-65 - [c100]Roneel V. Sharan, Shlomo Berkovsky:
Epileptic Seizure Detection Using Multi-Channel EEG Wavelet Power Spectra and 1-D Convolutional Neural Networks. EMBC 2020: 545-548 - [c99]Roneel V. Sharan, Shlomo Berkovsky, Hao Xiong, Enrico W. Coiera:
ECG-Derived Heart Rate Variability Interpolation and 1-D Convolutional Neural Networks for Detecting Sleep Apnea. EMBC 2020: 637-640 - [c98]Roneel V. Sharan, Shlomo Berkovsky, Sidong Liu:
Voice Command Recognition Using Biologically Inspired Time-Frequency Representation and Convolutional Neural Networks. EMBC 2020: 998-1001 - [c97]Hao Xiong, Shlomo Berkovsky, Roneel V. Sharan, Sidong Liu, Enrico W. Coiera:
Robust Vision-Based Workout Analysis Using Diversified Deep Latent Variable Model. EMBC 2020: 2155-2158 - [c96]Shlomo Berkovsky:
Keynote Abstract: Health Personalisation: From Wellbeing to Medicine. HealthRecSys@RecSys 2020: 1 - [i7]Juan C. Quiroz, Liliana Laranjo, Catalin Tufanaru, Ahmet Baki Kocaballi, Dana Rezazadegan, Shlomo Berkovsky, Enrico W. Coiera:
Empirical Analysis of Zipf's Law, Power Law, and Lognormal Distributions in Medical Discharge Reports. CoRR abs/2003.13352 (2020) - [i6]Shoujin Wang, Longbing Cao, Liang Hu, Shlomo Berkovsky, Xiaoshui Huang, Lin Xiao, Wenpeng Lu:
Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation. CoRR abs/2006.04530 (2020) - [i5]Dana Rezazadegan, Shlomo Berkovsky, Juan C. Quiroz, Ahmet Baki Kocaballi, Ying Wang, Liliana Laranjo, Enrico W. Coiera:
Automatic Speech Summarisation: A Scoping Review. CoRR abs/2008.11897 (2020)
2010 – 2019
- 2019
- [c95]Shlomo Berkovsky, Ronnie Taib, Irena Koprinska, Eileen Wang, Yucheng Zeng, Jingjie Li, Sabina Kleitman:
Detecting Personality Traits Using Eye-Tracking Data. CHI 2019: 221 - [c94]Ronnie Taib, Kun Yu, Shlomo Berkovsky, Mark W. Wiggins, Piers Bayl-Smith:
Social Engineering and Organisational Dependencies in Phishing Attacks. INTERACT (1) 2019: 564-584 - [c93]Kun Yu, Shlomo Berkovsky, Ronnie Taib, Jianlong Zhou, Fang Chen:
Do I trust my machine teammate?: an investigation from perception to decision. IUI 2019: 460-468 - 2018
- [c92]Anusuriya Devaraju, Shlomo Berkovsky:
A Hybrid Recommendation Approach for Open Research Datasets. UMAP 2018: 207-211 - [c91]Shlomo Berkovsky, Ronnie Taib, Yoshinori Hijikata, Pavel Braslavski, Bart P. Knijnenburg:
A Cross-Cultural Analysis of Trust in Recommender Systems. UMAP 2018: 285-289 - [p3]Kun Yu, Shlomo Berkovsky, Dan Conway, Ronnie Taib, Jianlong Zhou, Fang Chen:
Do I Trust a Machine? Differences in User Trust Based on System Performance. Human and Machine Learning 2018: 245-264 - [e7]Shlomo Berkovsky, Iván Cantador, Domonkos Tikk:
Collaborative Recommendations - Algorithms, Practical Challenges and Applications. WorldScientific 2018, ISBN 978-981-3275-34-8 [contents] - [e6]Shlomo Berkovsky, Yoshinori Hijikata, Jun Rekimoto, Margaret M. Burnett, Mark Billinghurst, Aaron Quigley:
Proceedings of the 23rd International Conference on Intelligent User Interfaces, IUI 2018, Tokyo, Japan, March 07-11, 2018. ACM 2018 [contents] - 2017
- [j20]Jill Freyne, Jie Yin, Emily Brindal, Gilly Hendrie, Shlomo Berkovsky, Manny Noakes:
Push Notifications in Diet Apps: Influencing Engagement Times and Tasks. Int. J. Hum. Comput. Interact. 33(10): 833-845 (2017) - [c90]Jianlong Zhou, Syed Z. Arshad, Simon Luo, Kun Yu, Shlomo Berkovsky, Fang Chen:
Indexing Cognitive Load using Blood Volume Pulse Features. CHI Extended Abstracts 2017: 2269-2275 - [c89]Gaurav Misra, Nalin Asanka Gamagedara Arachchilage, Shlomo Berkovsky:
Phish Phinder: A Game Design Approach to Enhance User Confidence in Mitigating Phishing Attacks. HAISA 2017: 41-51 - [c88]Dana Bradford, Shlomo Berkovsky, Melissa Martyn, Tim Bakkar, Martin Krahnert, Michelle Rodriguez, Denis C. Bauer, Derek Ireland, Clara Gaff:
Interacting with Genomic Data: Clinician Requirements and Prototype Structure. HIC 2017: 1-7 - [c87]Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen:
Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process. IJCAI 2017: 2414-2420 - [c86]Shlomo Berkovsky, Ronnie Taib, Dan Conway:
How to Recommend?: User Trust Factors in Movie Recommender Systems. IUI 2017: 287-300 - [c85]Kun Yu, Shlomo Berkovsky, Ronnie Taib, Dan Conway, Jianlong Zhou, Fang Chen:
User Trust Dynamics: An Investigation Driven by Differences in System Performance. IUI 2017: 307-317 - [c84]Anusuriya Devaraju, Shlomo Berkovsky:
Do Users Matter? The Contribution of User-Driven Feature Weights to Open Dataset Recommendations. RecSys Posters 2017 - [c83]Bart P. Knijnenburg, Shlomo Berkovsky:
Privacy for Recommender Systems: Tutorial Abstract. RecSys 2017: 394-395 - [c82]Dan Conway, Ronnie Taib, Mitch Harris, Kun Yu, Shlomo Berkovsky, Fang Chen:
A Qualitative Investigation of Bank Employee Experiences of Information Security and Phishing. SOUPS 2017: 115-129 - [c81]Shi Zong, Branislav Kveton, Shlomo Berkovsky, Azin Ashkan, Zheng Wen:
Get to the Bottom: Causal Analysis for User Modeling. UMAP 2017: 256-264 - [c80]Shi Zong, Branislav Kveton, Shlomo Berkovsky, Azin Ashkan, Nikos Vlassis, Zheng Wen:
Does Weather Matter?: Causal Analysis of TV Logs. WWW (Companion Volume) 2017: 883-884 - [c79]Ling Luo, Bin Li, Shlomo Berkovsky, Irena Koprinska, Fang Chen:
Online Engagement for a Healthier You: A Case Study of Web-based Supermarket Health Program. WWW (Companion Volume) 2017: 1053-1061 - [e5]Paolo Cremonesi, Francesco Ricci, Shlomo Berkovsky, Alexander Tuzhilin:
Proceedings of the Eleventh ACM Conference on Recommender Systems, RecSys 2017, Como, Italy, August 27-31, 2017. ACM 2017, ISBN 978-1-4503-4652-8 [contents] - [i4]Shi Zong, Branislav Kveton, Shlomo Berkovsky, Azin Ashkan, Nikos Vlassis, Zheng Wen:
Does Weather Matter? Causal Analysis of TV Logs. CoRR abs/1701.08716 (2017) - [i3]Amit Tiroshi, Tsvi Kuflik, Shlomo Berkovsky, Mohamed Ali Kâafar:
Graph Based Recommendations: From Data Representation to Feature Extraction and Application. CoRR abs/1707.01250 (2017) - [i2]Gaurav Misra, Nalin Asanka Gamagedara Arachchilage, Shlomo Berkovsky:
Phish Phinder: A Game Design Approach to Enhance User Confidence in Mitigating Phishing Attacks. CoRR abs/1710.06064 (2017) - 2016
- [j19]Branislav Kveton, Shlomo Berkovsky:
Minimal Interaction Content Discovery in Recommender Systems. ACM Trans. Interact. Intell. Syst. 6(2): 15:1-15:25 (2016) - [j18]Arik Friedman, Shlomo Berkovsky, Mohamed Ali Kâafar:
A differential privacy framework for matrix factorization recommender systems. User Model. User Adapt. Interact. 26(5): 425-458 (2016) - [c78]Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen:
Discovering Temporal Purchase Patterns with Different Responses to Promotions. CIKM 2016: 2197-2202 - [c77]M. Sazzad Hussain, Liam Cripwell, Shlomo Berkovsky, Jill Freyne:
Promoting UV Exposure Awareness with Persuasive, Wearable Technologies. HIC 2016: 48-54 - [c76]Ling Luo, Bin Li, Shlomo Berkovsky, Irena Koprinska, Fang Chen:
Who Will Be Affected by Supermarket Health Programs? Tracking Customer Behavior Changes via Preference Modeling. PAKDD (1) 2016: 527-539 - [c75]Shlomo Berkovsky, Maurits Kaptein, Massimo Zancanaro:
Adaptivity and Personalization in Persuasive Technologies. PPT@PERSUASIVE 2016: 13-25 - [c74]Kun Yu, Shlomo Berkovsky, Dan Conway, Ronnie Taib, Jianlong Zhou, Fang Chen:
Trust and Reliance Based on System Accuracy. UMAP 2016: 223-227 - 2015
- [j17]Shlomo Berkovsky, Jill Freyne:
Personalized Social Network Activity Feeds for Increased Interaction and Content Contribution. Frontiers Robotics AI 2: 24 (2015) - [c73]Kyrylo Medvediev, Guandong Xu, Shlomo Berkovsky, Yury Onikienko:
An analysis of new visitors' website behaviour before & after TV advertising. BESC 2015: 109-115 - [c72]David Vallet, Shlomo Berkovsky, Sebastien Ardon, Anirban Mahanti, Mohamed Ali Kâafar:
Characterizing and Predicting Viral-and-Popular Video Content. CIKM 2015: 1591-1600 - [c71]Azin Ashkan, Branislav Kveton, Shlomo Berkovsky, Zheng Wen:
Optimal Greedy Diversity for Recommendation. IJCAI 2015: 1742-1748 - [c70]Shlomo Berkovsky, Jill Freyne, Harri Oinas-Kukkonen:
Influencing Individually: Fusing Personalization and Persuasion (Extended Abstract). IJCAI 2015: 4153-4187 - [c69]Branislav Kveton, Shlomo Berkovsky:
Minimal Interaction Search in Recommender Systems. IUI 2015: 236-246 - [c68]Shlomo Berkovsky, Jill Freyne:
Web Personalization and Recommender Systems. KDD 2015: 2307-2308 - [c67]Shlomo Berkovsky:
Blending Users, Content, and Emotions for Movie Recommendations. ASM@ACM Multimedia 2015: 1 - [c66]Shlomo Berkovsky:
Emotion-Based Movie Recommendations: How Far Can We Take This? EMPIRE@RecSys 2015: 1 - [c65]Mehdi Elahi, Mouzhi Ge, Francesco Ricci, Ignacio Fernández-Tobías, Shlomo Berkovsky, David Massimo:
Interaction Design in a Mobile Food Recommender System. IntRS@RecSys 2015: 49-52 - [c64]Arnaud Berlioz, Arik Friedman, Mohamed Ali Kâafar, Roksana Boreli, Shlomo Berkovsky:
Applying Differential Privacy to Matrix Factorization. RecSys 2015: 107-114 - [c63]Oren Sar Shalom, Shlomo Berkovsky, Royi Ronen, Elad Ziklik, Amihood Amir:
Data Quality Matters in Recommender Systems. RecSys 2015: 257-260 - [c62]Matt Adcock, Stuart Anderson, Shlomo Berkovsky, Paul Flick, Dennis Frousheger, Brett Grandbois, Chris Gunn, David Haddon, Jane Li, Thomas Lowe, Benjamin Mackey, Frederick Pauling, Christian Richter, Kazys Stepanas, Fletcher Talbot, Gavin Walker, Belinda Ward, Luke Tomes, Sally Miles, Daniel Keogh, Ben Colenso, Hay Wie Lie, Dean Longmore, Jayden Hanly, Dave Canavan:
Exploring the Jenolan Caves: bringing the physical world to 3D online education. Web3D 2015: 161 - [r2]Arik Friedman, Bart P. Knijnenburg, Kris Vanhecke, Luc Martens, Shlomo Berkovsky:
Privacy Aspects of Recommender Systems. Recommender Systems Handbook 2015: 649-688 - [r1]Iván Cantador, Ignacio Fernández-Tobías, Shlomo Berkovsky, Paolo Cremonesi:
Cross-Domain Recommender Systems. Recommender Systems Handbook 2015: 919-959 - 2014
- [c61]Amit Tiroshi, Shlomo Berkovsky, Mohamed Ali Kâafar, David Vallet, Terence Chen, Tsvi Kuflik:
Improving business rating predictions using graph based features. IUI 2014: 17-26 - [c60]David Vallet, Arik Friedman, Shlomo Berkovsky:
Matrix Factorization without User Data Retention. PAKDD (1) 2014: 569-580 - [c59]Azin Ashkan, Branislav Kveton, Shlomo Berkovsky, Zheng Wen:
Diversified Utility Maximization for Recommendations. RecSys Posters 2014 - [c58]Mehdi Elahi, Mouzhi Ge, Francesco Ricci, David Massimo, Shlomo Berkovsky:
Interactive Food Recommendation for Groups. RecSys Posters 2014 - [c57]Amit Tiroshi, Shlomo Berkovsky, Mohamed Ali Kâafar, David Vallet, Tsvi Kuflik:
Graph-Based Recommendations: Make the Most Out of Social Data. UMAP 2014: 447-458 - [i1]Azin Ashkan, Branislav Kveton, Shlomo Berkovsky, Zheng Wen:
DUM: Diversity-Weighted Utility Maximization for Recommendations. CoRR abs/1411.3650 (2014) - 2013
- [j16]Mohamed Ali Kâafar, Shlomo Berkovsky, Benoit Donnet:
On the potential of recommendation technologies for efficient content delivery networks. Comput. Commun. Rev. 43(3): 74-77 (2013) - [j15]Paul De Bra, Jill Freyne, Shlomo Berkovsky:
Introduction to the Special Issue on Adaptive Hypermedia. New Rev. Hypermedia Multim. 19(2): 81-83 (2013) - [j14]Jill Freyne, Shlomo Berkovsky, Gregory Smith:
Rating Bias and Preference Acquisition. ACM Trans. Interact. Intell. Syst. 3(3): 19:1-19:21 (2013) - [j13]Alan Said, Shlomo Berkovsky, Ernesto William De Luca:
Movie recommendation in context. ACM Trans. Intell. Syst. Technol. 4(1): 13:1-13:9 (2013) - [c56]Shlomo Berkovsky:
Network activity feed: finding needles in a haystack. MSM 2013: 1:1 - [c55]Patrick Burns, Christopher Lueg, Shlomo Berkovsky:
Colours That Move You: Persuasive Ambient Activity Displays. PERSUASIVE 2013: 27-32 - [c54]Shlomo Berkovsky, Jill Freyne:
Personalised Network Activity Feeds: Finding Needles in the Haystacks. MSM/MUSE 2013: 21-34 - [c53]Shlomo Berkovsky, Jill Freyne:
Food Recommendations: Biases that Underpin Ratings. Decisions@RecSys 2013: 42 - [c52]Mengxi Xu, Shlomo Berkovsky, Sebastien Ardon, Sipat Triukose, Anirban Mahanti, Irena Koprinska:
Catch-up TV recommendations: show old favourites and find new ones. RecSys 2013: 285-294 - [c51]Amit Tiroshi, Shlomo Berkovsky, Mohamed Ali Kâafar, Terence Chen, Tsvi Kuflik:
Cross social networks interests predictions based ongraph features. RecSys 2013: 319-322 - [c50]Amit Tiroshi, Tsvi Kuflik, Shlomo Berkovsky:
Inform or Flood: Estimating When Retweets Duplicate. UMAP 2013: 267-273 - [e4]Shlomo Berkovsky, Jill Freyne:
Adjunct Proceedings of the 8th International Conference on Persuasive Technology, PERSUASIVE 2013, Sydney, Australia, April 3-5, 2013. CEUR Workshop Proceedings 973, CEUR-WS.org 2013 [contents] - [e3]Shlomo Berkovsky, Jill Freyne:
Persuasive Technology - 8th International Conference, PERSUASIVE 2013, Sydney, NSW, Australia, April 3-5, 2013. Proceedings. Lecture Notes in Computer Science 7822, Springer 2013, ISBN 978-3-642-37156-1 [contents] - [e2]Shlomo Berkovsky, Eelco Herder, Pasquale Lops, Olga C. Santos:
Late-Breaking Results, Project Papers and Workshop Proceedings of the 21st Conference on User Modeling, Adaptation, and Personalization., Rome, Italy, June 10-14, 2013. CEUR Workshop Proceedings 997, CEUR-WS.org 2013 [contents] - 2012
- [j12]Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci:
The impact of data obfuscation on the accuracy of collaborative filtering. Expert Syst. Appl. 39(5): 5033-5042 (2012) - [j11]Shlomo Berkovsky, Jill Freyne, Harri Oinas-Kukkonen:
Influencing Individually: Fusing Personalization and Persuasion. ACM Trans. Interact. Intell. Syst. 2(2): 9:1-9:8 (2012) - [j10]Shlomo Berkovsky, Jill Freyne, Mac Coombe:
Physical Activity Motivating Games: Be Active and Get Your Own Reward. ACM Trans. Comput. Hum. Interact. 19(4): 32:1-32:41 (2012) - [c49]