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Recommendation System

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Category: Customer Engagement Platform

Description

Recommendation System is a Beatdapp Trust and Safety OS capability that synthesizes billions of authentic user signals with metadata to understand user intent and deliver recommendations designed to be personal, authentic, and resistant to manipulation. It helps media and streaming services, creator and UGC platforms, and gaming platforms increase engagement and retention, build user loyalty, and support trusted discovery.

Technology & Skills

Uncover the hard and soft skills and tools employed by the organization, and gain insight into the technologies that drive their success
KUBERNETES
SQL
KAFKA
DATA PIPELINE
BATCH ETL
MLFLOW
DISASTER RECOVERY
ECS
LINKERD
DATA-PIPELINES
KINESIS
SPARK
WRITTEN COMMUNICATION
CANARY RELEASE
GPU
SECRETS MANAGEMENT
C#
A/B TESTING
AIRFLOW
OIDC
JIRA
INFRASTRUCTURE-AS-CODE
POSTGRES
CACHING
PUB/SUB
GO
ENCRYPTION
VECTOR DATABASE
TERRAFORM
NETWORKING
GKE
RUST
SPEECH DETECTION
ISTIO
GCP
INFERENCE OPTIMIZATION
AUTOSCALING
EKS
PYTHON
OBSERVABILITY
DISTRIBUTED SYSTEMS
DOCKER
AWS
STREAM PROCESSING
CI/CD
MODEL LIFECYCLE MANAGEMENT
GITHUB ACTIONS
MACHINE LEARNING MODEL
BATCH PROCESSING
FINE-TUNING
API DEVELOPMENT
CLOUD RUN
COMPUTER VISION
PODMAN
CUDA
FEATURE STORE
BIGQUERY
SIGNAL PROCESSING