105 citations · 414 across the 31 of their papers we have counts for
5 papers · 1 filter
Evolving Context-Aware Recommender Systems With Users in Mind
Amit Livne, Eliad Shem Tov, Adir Solomon +3
A context-aware recommender system (CARS) applies sensing and analysis of user context to provide personalized services. The contextual information can be driven from sensors in or…
A framework for optimizing COVID-19 testing policy using a Multi Armed Bandit approach
Hagit Grushka-Cohen, Raphael Cohen, Bracha Shapira +2
Testing is an important part of tackling the COVID-19 pandemic. Availability of testing is a bottleneck due to constrained resources and effective prioritization of individuals is…
Iterative Boosting Deep Neural Networks for Predicting Click-Through Rate
Amit Livne, Roy Dor, Eyal Mazuz +3
The click-through rate (CTR) reflects the ratio of clicks on a specific item to its total number of views. It has significant impact on websites' advertising revenue. Learning soph…
Automatic Machine Learning Derived from Scholarly Big Data
Asnat Greenstein-Messica, Roman Vainshtein, Gilad Katz +2
One of the challenging aspects of applying machine learning is the need to identify the algorithms that will perform best for a given dataset. This process can be difficult, time c…
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…