Alexander Krainov
Data Science Developer @ Restrim
Ulyanovsk

Development of the advisory system of Rostelecom

  • Auditorium: ARCHIVE
  • Category: Development
  • Level: Skilled
  • Section: Machine learning

Description:

1. What is special about direction of recommendations in the field of machine learning.

2. What are the demands to modern advisory systems and what has changed since the Netflix Prize competition.

3. Why all users are unhappy with the recommendations and how to improve it.

4. Difficulties and challenges in the development of an advisory system for IPTV nationwide.

5. What is the advantage of issuing recommendations in real time (online) mode and how to provide them with a minimum delay.


О спикере

Alexander Krainov

Data Science Developer @ Restrim
Ulyanovsk

I was interested in artificial intelligence since I was 14 years old. Was engaged in research in the field of natural language processing, neural networks, defended his candidate degree thesis on processing news texts. At different times I read courses on Java, as well as machine learning and word processing (Ulyanovsk, Samara). Currently, I am engaged in the design and development of the advisory system of the interactive television of Rostelecom at Restrim.

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