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Networking for Big Data: Theory and Optimization for NDN

MIT Building 32, Room 141 The Stata Center (32-141), 32 Vassar Street, Cambridge, MA, United States

The advent of Big Data is stimulating the development of new networking architectures which facilitate the acquisition, transmission, storage, and computation of data. In particular, Named Data Networking (NDN) is an emerging content-centric networking architecture which focuses on enabling end users to obtain the data they want, rather than to communicate with specific nodes. By…

Fast and Slow Learning from Reviews

MIT Building 32, Room 141 The Stata Center (32-141), 32 Vassar Street, Cambridge, MA, United States

Speaker: Daron Acemoglu (MIT) Many online platforms present summaries of reviews by previous users. Even though such reviews could be useful, previous users leaving reviews are typically a selected sample of those who have purchased the good in question, and may consequently have a biased assessment. In this paper, we construct a simple model of…


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