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pro vyhledávání: '"Bartley, Nathan"'
Online social networks use recommender systems to suggest relevant information to their users in the form of personalized timelines. Studying how these systems expose people to information at scale is difficult to do as one cannot assume each user is
Externí odkaz:
http://arxiv.org/abs/2409.16558
Autor:
Bartley, Nathan, Lerman, Kristina
Recommender systems underpin many of the personalized services in the online information & social media ecosystem. However, the assumptions in the research on content recommendations in domains like search, video, and music are often applied wholesal
Externí odkaz:
http://arxiv.org/abs/2409.13237
Publikováno v:
Internet Research, 2022, Vol. 33, Issue 3, pp. 1053-1078.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/INTR-04-2021-0260
Autor:
Tavabi, Nazgol, Bartley, Nathan, Abeliuk, Andrés, Soni, Sandeep, Ferrara, Emilio, Lerman, Kristina
The deep and darkweb (d2web) refers to limited access web sites that require registration, authentication, or more complex encryption protocols to access them. These web sites serve as hubs for a variety of illicit activities: to trade drugs, stolen
Externí odkaz:
http://arxiv.org/abs/1903.00156
Autor:
Goyal, Palash, Hossain, KSM Tozammel, Deb, Ashok, Tavabi, Nazgol, Bartley, Nathan, Abeliuk, Andr'es, Ferrara, Emilio, Lerman, Kristina
Cyber attacks are growing in frequency and severity. Over the past year alone we have witnessed massive data breaches that stole personal information of millions of people and wide-scale ransomware attacks that paralyzed critical infrastructure of se
Externí odkaz:
http://arxiv.org/abs/1806.03342
As the field of data science continues to grow, there will be an ever-increasing demand for tools that make machine learning accessible to non-experts. In this paper, we introduce the concept of tree-based pipeline optimization for automating one of
Externí odkaz:
http://arxiv.org/abs/1603.06212
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