2 papers
cs.NI2020
Sequence Preserving Network Traffic Generation
Sigal Shaked, Amos Zamir, Roman Vainshtein +4
We present the Network Traffic Generator (NTG), a framework for perturbing recorded network traffic with the purpose of generating diverse but realistic background traffic for netw…
cs.LG2019
Deep Context-Aware Recommender System Utilizing Sequential Latent Context
Amit Livne, Moshe Unger, Bracha Shapira +1
Context-aware recommender systems (CARSs) apply sensing and analysis of user context in order to provide personalized services. Adding context to a recommendation model is challeng…