Phone: +61 2 9376 2243
National ICT of Australia (NICTA)
Australian Technology Park
User Modeling, Personalization
Shlomo Berkovsky is a senior researcher at the Next-Generation Content Discovery and Distribution project run by NICTA. The project is developing novel techniques for accurate personalization and cost-effective delivery of catch-up and live TV services. Before joining NICTA, he was a research scientist, senior research scientist, and team leader at CSIRO, and research fellow at the University of Melbourne. He is interested in collaborative and content-based recommenders, mediation of user models, ubiquitous user modeling, context-aware personalization, personalized persuasion, privacy-enhanced personalization, and tailored information delivery. His prior research interests also include text and web mining, semantic web, social media, and peer-to-peer computing.
M. Xu, S. Berkovsky, S. Ardon, S. Triukose, A. Mahanti, and I. Koprinska. Catch-up TV recommendations: show old favourites and find new ones. In Seventh ACM Conference on Recommender Systems, RecSys '13, pages 285-294, 2013. [View Details]
M. Xu, S. Berkovsky, I. Koprinska, S. Ardon, and K. Yacef. Time dependency in tv viewer clustering. In UMAP Workshops, 2012. [View Details]