Jaehyeon Kim
Jaehyeon Kim

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  3. From Prototype to Production: Real-Time Product Recommendation with Contextual Bandits

Productionizing an Online Product Recommender using Event Driven Architecture

Productionizing an Online Product Recommender using Event Driven Architecture
February 23, 202610 min read Machine-Learning From Prototype to Production: Real-Time Product Recommendation With Contextual BanditsApache FlinkApache KafkaBenchtopContextual BanditsOnline Machine LearningOpen Data StackPythonRecommender SystemValkey

Apache Flink, Kafka and Valkey turn a contextual bandit recommender into an event driven service with stateful training and low latency inference.

Read More: Productionizing an Online Product Recommender using Event Driven Architecture

Prototyping an Online Product Recommender in Python

Prototyping an Online Product Recommender in Python
January 27, 202620 min read Machine-Learning From Prototype to Production: Real-Time Product Recommendation With Contextual BanditsBenchtopContextual BanditsMab2RecMABWiserOnline Machine LearningPythonRecommender SystemReinforcement Learning

A Python prototype of a contextual multi-armed bandit recommender that simulates user behaviour and validates the algorithm against cold-start users.

Read More: Prototyping an Online Product Recommender in Python
Profile
Jaehyeon Kim
Jaehyeon Kim
Data Engineer | Data Streaming | Powering ML & AI in Real Time
Taxonomies
Data Streaming 70 Data Engineering 44 Development 28 Data Analysis 17 Open Source 14 Data Integration 12 Machine Learning 7 Kubernetes 6 Security 5 Data Architecture 3 Data Processing 3 Big Data 2 System Architecture 2 Web Development 2
Python 78 Apache Kafka 73 AWS 50 Docker 50 Apache Flink 39 Apache Beam 17 Apache Spark 17 Kafka Connect 16 Amazon MSK 14 AWS Lambda 14 Benchtop 13 dbt 13 desflow 12 odctl 12 Amazon EMR 11 PostgreSQL 10 Kubernetes 8 PyFlink 8 Apache Iceberg 7 Change Data Capture (CDC) 7 Debezium 7 Discrete Event Simulation 7 Kotlin 7 Apache Airflow 6 Kafka UI 6 SimPy 6 Amazon DynamoDB 5 PySpark 5 Amazon API Gateway 4 Amazon Athena 4 AWS Glue 4 AWS Glue Schema Registry 4 BigQuery 4 Digital Twin 4 FastAPI 4 Minikube 4 Amazon EKS 3 Amazon QuickSight 3 Amazon S3 3 Apache Hudi 3 ALL 144
Kafka Development with Docker 11 Apache Beam Python Examples 10 Building Real-Time Digital Twins with desflow 7 Real Time Streaming with Kafka and Flink 7 dbt Pizza Shop Demo 6 Apache Beam Local Development with Python 5 dbt for Effective Data Transformation on AWS 5 Getting Started with Real-Time Streaming in Kotlin 5 Kafka Connect for AWS Services Integration 5 Serverless Data Product 4 Data Lake Demo Using Change Data Capture 3 Getting Started with PyFlink on AWS 3 Kafka Development on Kubernetes 3 Parallel processing on single machine 3 Realtime Dashboard with FastAPI, Streamlit and Next.js 3 API development with R 2 dbt Guide for Production 2 Deploy Python Stream Processing App on Kubernetes 2 Download Stock Data 2 From Prototype to Production: Real-Time Product Recommendation with Contextual Bandits 2 ALL 25
2026 18 2025 13 2024 29 2023 39 2022 15 2021 7 2020 1 2019 5 2018 2 2017 6 2016 6 2015 15 2014 5
Posts
  • From dynamic-des to desflow: What Changed in Five Releases
    From dynamic-des to desflow: What Changed in Five Releases
    October 28, 2026
  • odctl 1.0: Kafka, Flink, Spark, Iceberg, Trino and MLflow on Your Laptop with One Command
    odctl 1.0: Kafka, Flink, Spark, Iceberg, Trino and MLflow on Your Laptop with One Command
    October 12, 2026
  • Defining Data-Streaming Simulations in YAML, Without Writing Python
    Defining Data-Streaming Simulations in YAML, Without Writing Python
    October 6, 2026
  • Keeping Game Leaderboards Up to Date in Real Time with Kafka and Flink SQL
    Keeping Game Leaderboards Up to Date in Real Time with Kafka and Flink SQL
    October 2, 2026
  • Change Data Capture on a Simulated Online Shop with Debezium and Kafka Connect
    Change Data Capture on a Simulated Online Shop with Debezium and Kafka Connect
    October 1, 2026
  • Building an Agentic Analytics System over an Iceberg Lakehouse
    Building an Agentic Analytics System over an Iceberg Lakehouse
    July 18, 2026
  • Current London 2026: Building End-to-End Data Lineage
    Current London 2026: Building End-to-End Data Lineage
    May 22, 2026
  • Building a Real-Time Industrial Digital Twin with Apache Flink and Online Machine Learning
    Building a Real-Time Industrial Digital Twin with Apache Flink and Online Machine Learning
    April 21, 2026
  • Productionizing an Online Product Recommender using Event Driven Architecture
    Productionizing an Online Product Recommender using Event Driven Architecture
    February 23, 2026
  • Stream Processing with Flink in Kotlin
    Stream Processing with Flink in Kotlin
    December 10, 2025
  • From dynamic-des to desflow: What Changed in Five Releases
    From dynamic-des to desflow: What Changed in Five Releases
    October 28, 2026
  • odctl 1.0: Kafka, Flink, Spark, Iceberg, Trino and MLflow on Your Laptop with One Command
    odctl 1.0: Kafka, Flink, Spark, Iceberg, Trino and MLflow on Your Laptop with One Command
    October 12, 2026
  • Defining Data-Streaming Simulations in YAML, Without Writing Python
    Defining Data-Streaming Simulations in YAML, Without Writing Python
    October 6, 2026
  • Keeping Game Leaderboards Up to Date in Real Time with Kafka and Flink SQL
    Keeping Game Leaderboards Up to Date in Real Time with Kafka and Flink SQL
    October 2, 2026
  • Change Data Capture on a Simulated Online Shop with Debezium and Kafka Connect
    Change Data Capture on a Simulated Online Shop with Debezium and Kafka Connect
    October 1, 2026
  • Data Streaming and Machine Learning Projects That Run on Your Laptop
    Data Streaming and Machine Learning Projects That Run on Your Laptop
    September 30, 2026
  • Learning MLOps with a Feature Store: A New Series
    Learning MLOps with a Feature Store: A New Series
    September 28, 2026
  • Building an Agentic Analytics System over an Iceberg Lakehouse
    Building an Agentic Analytics System over an Iceberg Lakehouse
    July 18, 2026
  • desflow: A Declarative API with Postgres and Redis Connectors
    desflow: A Declarative API with Postgres and Redis Connectors
    July 17, 2026
  • Running Kafka, Flink, Spark, Trino and Iceberg Locally with One CLI
    Running Kafka, Flink, Spark, Trino and Iceberg Locally with One CLI
    July 16, 2026
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Jaehyeon Kim

Data Engineer | Data Streaming | Powering ML & AI in Real Time

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