Personal Information
Unternehmen/Arbeitsplatz
Moscow, Russian Federation Russian Federation
Beruf
Head of data science team, Recommender systems, rzykov@gmail.com
Webseite
kpis.ru
Info
Data scientist & Analytics engineer working with Big Data sets.
Main interest is a Recommender System development: Frameworks, Algorithms, Offline/online testing.
My tools - Hadoop cluster with Spark. Our primary language is Scala.
I can consult interested projects for free.
Public speaker at conferences:
- Sep 2016, Boston - ACM RecSys confrence - Hypothesis Testing: How to Eliminate Ideas ASAP
- Mar 2014, Moscow - Global Entrepreneurship Congress - More Opportunities of Big Data
- Oct 2013, Dublin Ireland - Data for startups - Big Data & Analytics Innovation Summit
- Nov 2012, Moscow - Highload 2012
- Sep 2012, London - Big Data World
Specialties: Data Science, Machin...
Tags
hadoop
recommendation engine
apache hadoop
e-commerce
kpi
-
recsys2016
big data
retailrocket
spark
hadoop big data
item to item
hadoop bigdata case
bigdata
wikimart
bi
webanalytics
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Präsentationen
(28)Dokumente
(3)Gefällt mir
(27)Recent Trends in Personalization at Netflix
Justin Basilico
•
Vor 3 Jahren
Deep Learning for Recommender Systems
Justin Basilico
•
Vor 6 Jahren
word2vec, LDA, and introducing a new hybrid algorithm: lda2vec
👋 Christopher Moody
•
Vor 8 Jahren
Deep Style: Using Variational Auto-encoders for Image Generation
TJ Torres
•
Vor 8 Jahren
Neighbor methods vs matrix factorization - case studies of real-life recommendations (Gravity LSRS2015 RECSYS 2015)
Domonkos Tikk
•
Vor 8 Jahren
Extending Word2Vec for Performance and Semi-Supervised Learning-(Michael Malak, Oracle)
Spark Summit
•
Vor 8 Jahren
Scala Data Pipelines for Music Recommendations
Chris Johnson
•
Vor 9 Jahren
PyData: The Next Generation
Wes McKinney
•
Vor 9 Jahren
Recsys 2014 Tutorial - The Recommender Problem Revisited
Xavier Amatriain
•
Vor 9 Jahren
Apache Hadoop YARN: best practices
DataWorks Summit
•
Vor 9 Jahren
Efficient Data Storage for Analytics with Apache Parquet 2.0
Cloudera, Inc.
•
Vor 9 Jahren
Genomics Is Not Special: Towards Data Intensive Biology
Uri Laserson
•
Vor 9 Jahren
CRM-digest
GRAPE
•
Vor 10 Jahren
The "Big Data" Ecosystem at LinkedIn
Sam Shah
•
Vor 10 Jahren
imu2010 - Интернет-мерчендайзинг. Методы сбора и анализа данных. Флакс, Овокс
UAMASTER Digital Agency
•
Vor 13 Jahren
Strata 2013 - LinkedIn Endorsements: Reputation, Virality, and Social Tagging
Sam Shah
•
Vor 11 Jahren
Culture
Reed Hastings
•
Vor 14 Jahren
Владислав Флакс "Как Big Data делает вашу жизнь лучше"
Yandex
•
Vor 11 Jahren
hadoop @ Ibmbigdata
Eric Baldeschwieler
•
Vor 12 Jahren
Collaborative filtering at scale
huguk
•
Vor 13 Jahren
HBase and Hadoop at Adobe
Cosmin Lehene
•
Vor 13 Jahren
NoSQL at Twitter (NoSQL EU 2010)
Kevin Weil
•
Vor 14 Jahren
Guess the Outcome of 15 Tests
Lars J
•
Vor 14 Jahren
AddVenture бизнес-модели
Eduson.tv
•
Vor 14 Jahren
E-Marketplace V1.10
Pawoot (Pom) Pongvitayapanu
•
Vor 15 Jahren
eBay 2009 Analyst Day
Phil Wolff
•
Vor 15 Jahren
eCommerce Summit eBay Keynote Presentation
eCommerce Merchants
•
Vor 14 Jahren
Personal Information
Unternehmen/Arbeitsplatz
Moscow, Russian Federation Russian Federation
Beruf
Head of data science team, Recommender systems, rzykov@gmail.com
Webseite
kpis.ru
Info
Data scientist & Analytics engineer working with Big Data sets.
Main interest is a Recommender System development: Frameworks, Algorithms, Offline/online testing.
My tools - Hadoop cluster with Spark. Our primary language is Scala.
I can consult interested projects for free.
Public speaker at conferences:
- Sep 2016, Boston - ACM RecSys confrence - Hypothesis Testing: How to Eliminate Ideas ASAP
- Mar 2014, Moscow - Global Entrepreneurship Congress - More Opportunities of Big Data
- Oct 2013, Dublin Ireland - Data for startups - Big Data & Analytics Innovation Summit
- Nov 2012, Moscow - Highload 2012
- Sep 2012, London - Big Data World
Specialties: Data Science, Machin...
Tags
hadoop
recommendation engine
apache hadoop
e-commerce
kpi
-
recsys2016
big data
retailrocket
spark
hadoop big data
item to item
hadoop bigdata case
bigdata
wikimart
bi
webanalytics
Mehr anzeigen