Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Goldenberg, Dmitri"'
Autor:
Moraes, Felipe, Proença, Hugo Manuel, Kornilova, Anastasiia, Albert, Javier, Goldenberg, Dmitri
Uplift modeling is a collection of machine learning techniques for estimating causal effects of a treatment at the individual or subgroup levels. Over the last years, causality and uplift modeling have become key trends in personalization at online e
Externí odkaz:
http://arxiv.org/abs/2308.09066
Bandit algorithms are often used in the e-commerce industry to train Machine Learning (ML) systems when pre-labeled data is unavailable. However, the industry setting poses various challenges that make implementing bandit algorithms in practice non-t
Externí odkaz:
http://arxiv.org/abs/2209.04147
Autor:
Albert, Javier, Goldenberg, Dmitri
Promotions and discounts are essential components of modern e-commerce platforms, where they are often used to incentivize customers towards purchase completion. Promotions also affect revenue and may incur a monetary loss that is often limited by a
Externí odkaz:
http://arxiv.org/abs/2108.13298
Publikováno v:
2nd International Workshop on Industrial Recommendation Systems @ KDD 2021
Voice assistants provide users a new way of interacting with digital products, allowing them to retrieve information and complete tasks with an increased sense of control and flexibility. Such products are comprised of several machine learning models
Externí odkaz:
http://arxiv.org/abs/2108.11463
Autor:
Goldenberg, Dmitri
Publikováno v:
2019. In the Third Israeli Python Conference (PyCon '19), Israel
Social network analysis is the process of investigating social structures through the use of networks and graph theory. It combines a variety of techniques for analyzing the structure of social networks as well as theories that aim at explaining the
Externí odkaz:
http://arxiv.org/abs/2102.10014
Publikováno v:
2020. In Fourteenth ACM Conference on Recommender Systems (RecSys '20). Association for Computing Machinery, New York, NY, USA, 486-491
Promotions and discounts have become key components of modern e-commerce platforms. For online travel platforms (OTPs), popular promotions include room upgrades, free meals and transportation services. By offering these promotions, customers can get
Externí odkaz:
http://arxiv.org/abs/2008.06293
Numerus works that study the spread of information in social networks include a spreading mechanism in which a set of nodes is initially infected (i.e. seeded), followed by a viral process, which spontaneously spread the message through the nodes of
Externí odkaz:
http://arxiv.org/abs/1704.01775
Publikováno v:
In Expert Systems With Applications 1 October 2018 107:45-60
Akademický článek
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