Media Management Research Lab

10 June 2020: Dilruk Perera has successfully defended his PhD Thesis work entitled "Towards Comprehensive User Preference Learning: Modeling User Preference Dynamics Across Networks for Recommendations." Congratulations to Dr. Dilruk Perera ! His dissertation will be available soon in ScholarBank@NUS. For readers interested in Dilruk's work on recommender systems, these are his conference papers:

• Dilruk Perera and Roger Zimmermann. “Towards Comprehensive Recommender Systems: Time-Aware Unified Recommendations Based on Listwise Ranking of Implicit Cross-Network Data.” 34th AAAI Conference on Artificial Intelligence (AAAI), 2020.
• Dilruk Perera and Roger Zimmermann, “CnGAN: Generative Adversarial Networks for Cross-network User Preference Generation for Non-overlapped Users,” The Web Conference (WWW), 2019.
• Dilruk Perera and Roger Zimmermann, “LSTM Networks for Online Cross-Network Recommendations,” 27th International Joint Conference on Artificial Intelligence (IJCAI), 2018.
• Dilruk Perera and Roger Zimmermann, “Exploring the use of Time-Dependent Cross-Network Information for Personalized Recommendations,” 25th ACM International Conference on Multimedia (MM), 2017.

11 January 2020: Our work on low-latency life video streaming, ACTE, with CMAF chunked transfer encoding was referenced in a presentation by Will Law, Chief Architect, Media Cloud Engineering at Akamai. His talk at the Demuxed 2019 conference was entitled "Three Roads to Jerusalem." The YouTube video of the talk mentions ACTE here.