Master Databricks with AccentFuture! Learn data engineering, machine learning, and analytics using Apache Spark. Gain hands-on experience with labs, real-world projects, and expert guidance to accelerate your journey to data mastery.

1. DATABRICKS FOR
RECOMMENDATION
SYSTEMS
ACCELERATING INTELLIGENT RECOMMENDATIONS WITH UNIFIED
ANALYTICS
contact@accentfuture.com​ +91-96400 01789​

2. INTRODUCTION TO
RECOMMENDATION
SYSTEMS
What are
recommendation
systems?
Common types:
Collaborative
Filtering,
Content-Based,
Hybrid
Real-world
examples:
Netflix, Amazon,
Spotify
contact@accentfuture.com​
​
+91-96400 01789​

3. WHY DATABRICKS FOR
RECOMMENDATION
SYSTEMS?
• Unified platform for big data, ML,
and collaborative development
• Built-in support for Apache Spark,
MLflow
• Scalable for large-scale
recommendation workloads
contact@accentfuture.com​
​ +91-96400 01789​

4. DATA PREPROCESSING
IN DATABRICKS
• Ingest raw user/item data (e.g.,
ratings, clicks, purchases)
• Clean, transform, and engineer
features with PySpark
• Use Delta Lake for ACID-compliant
pipelines
contact@accentfuture.com​
​ +91-96400 01789​

5. COLLABORATIVE FILTERING WITH ALS
• Matrix Factorization using Alternating Least Squares (ALS)
• ALS in PySpark MLlib
• Example: Movie recommendation model
contact@accentfuture.com​
​ +91-96400 01789​
​

6. CONTENT-BASED
FILTERING IN
DATABRICKS
• Use item metadata (genres, tags,
descriptions)
• TF-IDF, word embeddings with NLP
pipelines
• Combine with cosine similarity
contact@accentfuture.com​
​ +91-96400 01789​
​

7. BUILDING A HYBRID RECOMMENDATION SYSTEM
COMBINE COLLABORATIVE
AND CONTENT-BASED SCORES
WEIGHTED HYBRID OR
MODEL-BASED HYBRID
USE MLFLOW FOR
EXPERIMENT TRACKING
contact@accentfuture.com​
​ +91-96400 01789​
​

8. MODEL EVALUATION
AND TUNING
• Use metrics: RMSE, Precision@K,
Recall@K
• Cross-validation using Spark ML
pipelines
• Hyperparameter tuning with
MLflow
contact@accentfuture.com​
​ +91-96400 01789​
​

9. LEARN DATABRICKS WITH ACCENTFUTURE
• Join our Databricks Online Training Program
• Hands-on projects including recommendation engines
• Master PySpark, MLlib, Delta Lake, MLflow
• 📧 contact@accentfuture.com
• 🌐 AccentFuture
• 📞 +91-96400 01789