Roman Zykov

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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...

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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Roman Zykov

Recent Trends in Personalization at Netflix

Deep Learning for Recommender Systems

word2vec, LDA, and introducing a new hybrid algorithm: lda2vec

Deep Style: Using Variational Auto-encoders for Image Generation

Neighbor methods vs matrix factorization - case studies of real-life recommendations (Gravity LSRS2015 RECSYS 2015)

Extending Word2Vec for Performance and Semi-Supervised Learning-(Michael Malak, Oracle)

Scala Data Pipelines for Music Recommendations

PyData: The Next Generation

Recsys 2014 Tutorial - The Recommender Problem Revisited

Apache Hadoop YARN: best practices

Efficient Data Storage for Analytics with Apache Parquet 2.0

Genomics Is Not Special: Towards Data Intensive Biology

CRM-digest

The "Big Data" Ecosystem at LinkedIn

imu2010 - Интернет-мерчендайзинг. Методы сбора и анализа данных. Флакс, Овокс

Strata 2013 - LinkedIn Endorsements: Reputation, Virality, and Social Tagging

Culture

Владислав Флакс "Как Big Data делает вашу жизнь лучше"

hadoop @ Ibmbigdata

Collaborative filtering at scale