Andrew Dzhoha

Research-driven engineering in machine learning, with a current focus on recommender systems. Proficient in backend stack development and data processing.

PhD in Statistical Machine Learning, Department of Applied Statistics, Computer Science.
Master's and bachelor's degrees in Computer Engineering.

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Publications ↓ Engineering

Toward Balanced Personalization: Bridging Short-Term Intent and Long-Term Preference, Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization.
Andrii Dzhoha, Egor Malykh

8 Jun 2026
Harnessing Query Context for Personalized User Intent-Aware Sequential Recommendation, Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization.
Andrii Dzhoha, Alisa Mironenko, Evgeny Labzin, Vladimir Vlasov, Maarten Versteegh, Marjan Celikik

8 Jun 2026
Long-Term Embeddings for Balanced Personalization, 34th ACM Conference on User Modeling, Adaptation and Personalization (UMAP '26).
Andrii Dzhoha, Egor Malykh

9 Apr 2026
Short-Form Video Recommendations with Multimodal Embeddings: Addressing Cold-Start and Bias Challenges, EARL workshop, collocated with the 19th ACM Conference on Recommender Systems (RecSys).
Andrii Dzhoha, Katya Mirylenka, Egor Malykh, Marco-Andrea Buchmann, Francesca Catino

25 Jul 2025
Efficient and Effective Query Context-Aware Learning-to-Rank Model for Sequential Recommendation, CARS workshop, collocated with the 19th ACM Conference on Recommender Systems (RecSys).
Andrii Dzhoha, Alisa Mironenko, Vladimir Vlasov, Maarten Versteegh, Marjan Celikik

4 Jul 2025
Reducing Popularity Influence by Addressing Position Bias, RobustRecSys workshop, collocated with the 18th ACM Conference on Recommender Systems (RecSys).
Andrii Dzhoha, Alexey Kurennoy, Vladimir Vlasov, Marjan Celikik

11 Dec 2024
Building a Scalable, Effective, and Steerable Search and Ranking Platform, CARS workshop, collocated with the 18th ACM Conference on Recommender Systems (RecSys).
Marjan Celikik, Jacek Wasilewski, Ana Peleteiro Ramallo, Alexey Kurennoy, Evgeny Labzin, Danilo Ascione, Tural Gurbanov, Géraud Le Falher, Andrii Dzhoha, Ian Harris

4 Sep 2024
Beta Upper Confidence Bound Policy for the Design of Clinical Trials, Austrian Journal of Statistics.
Andrii Dzhoha, Iryna Rozora

15 Aug 2023
Multi-armed bandit problem with online clustering as side information, Journal of Computational and Applied Mathematics, Elsevier.
Andrii Dzhoha, Iryna Rozora

16 Feb 2023
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Engineering ↑ Publications

Query context-aware sequential ranking model
4 Jul 2025
Contextual multi-armed bandit problem with online clustering
3 Jun 2022
Data Analysis course notebooks in R
21 Apr 2022
Multi-armed bandit problem under delayed feedback
14 Feb 2020
Deep Learning Nanodegree Program
10 Apr 2019
Circuit Breaker in Go based on sync/atomic
15 Mar 2018
Machine Learning by Stanford University on Coursera
10 Apr 2016
Leader Election algorithm in Erlang
18 Apr 2014
Functional Programming Principles in Scala on Coursera
4 Jun 2013
HTTP Long Polling in Erlang and JavaScript
15 Mar 2013
Some solutions of Google Code Jam problems
26 Feb 2013
more »