Recommendation Systems Courses and Certifications

Build a Rating Recommendation Engine with Collaborative Filtering

15 ratings at Pluralsight

Recommendation systems pervade a great number of aspects of our daily lives. This course will teach you how to build your very own recommendation system using a technique called collaborative filtering.

• Pluralsight
• 1 hour 21 minutes
• On-Demand
• Free Trial Available

Databricks

Frequently Bought Together Recommendations Using Embeddings - Challenges and Solutions

Explore embedding-based "frequently bought together" recommendations for e-commerce, covering model training, productionization, metrics, and serving strategies. Learn practical tips for large-scale implementation.

• YouTube
• 22 minutes
• On-Demand
• Free Video

Association for Computing Machinery (ACM)

Semantic Scholar- Tera-Scale NLP to Accelerate Scientific Research--Daniel Weld

Explore Semantic Scholar's AI-powered tools for accelerating scientific research, including adaptive feeds, personalized alerts, and advanced summarization techniques.

• YouTube
• 44 minutes
• On-Demand
• Free Video

Literacy Essentials: Core Concepts Recommender Systems

This course will teach you different types of recommendation techniques to suggest new items based on users' past interaction history in order to improve the overall user experience and increase the sales and revenue for the enterprise.

• Pluralsight
• 1 hour 3 minutes
• On-Demand
• Free Trial Available

Great Learning

Build a Movie Recommendation System Using Machine Learning

Learn to create a movie recommendation system using machine learning techniques. Explore data-driven approaches to personalize film suggestions based on user preferences and viewing history.

• YouTube
• 32 minutes
• On-Demand
• Free Video

Databricks

Building Recommendation Systems Using Graph Neural Networks

Explore graph neural networks for recommendation systems, focusing on RECKON's encoder-decoder architecture to improve entity intelligence and personalize user experiences.

• YouTube
• 26 minutes
• On-Demand
• Free Video

Open Data Science

Evaluating Recommendation Algorithms - Offline and Online Approaches

Discover how Delivery Hero optimizes recommendation algorithms through offline evaluations and A/B testing, enhancing user experience while maintaining business metrics.

• YouTube
• 23 minutes
• On-Demand
• Free Video

Open Data Science

Building Robust and Scalable Recommendation Engines for Online Food Delivery

Unlock the power of recommendation engines for food delivery. Learn data preprocessing, feature engineering, and scalable algorithms to create personalized recommendations using the DHRD dataset.

• YouTube
• 25 minutes
• On-Demand
• Free Video

Crafting Intelligent Recommendation Systems with Deep Learning

The world of eCommerce is filled with products and services. In this course, you’ll learn to process large amounts of data and recommend the correct products.

• Pluralsight
• 40 minutes
• On-Demand
• Free Trial Available

Association for Computing Machinery (ACM)

Adaptive Fair Representation Learning for Personalized Fairness in Recommendations - Lecture 7

Explore adaptive fair representation learning for personalized fairness in recommendations through information alignment techniques.

• YouTube
• 15 minutes
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

Recommendation Systems for Digital Out of Home Advertising

Explore probabilistic modeling for digital out-of-home advertising content recommendations. Learn strategies for effective ad distribution across digital screens and gain insights into data-driven decision-making for content selection and placement.

• YouTube
• 32 minutes
• On-Demand
• Free Video

Data Science Festival

Networks and Recommendation Systems

Explore graph-based recommendation systems, their transparent implementation, and real-world applications in this technical deep dive for data science practitioners.

• YouTube
• 42 minutes
• On-Demand
• Free Video

Association for Computing Machinery (ACM)

Large Language Models for Intent-Driven Session Recommendations - Session M1.6

Explore intent-driven session recommendations using large language models for enhanced personalized content delivery in recommender systems.

• YouTube
• 15 minutes
• On-Demand
• Free Video

Association for Computing Machinery (ACM)

Sequential Recommendation with Latent Relations Based on Large Language Models - M1.6

Explore advanced sequential recommendation techniques using large language models to uncover latent relations in user behavior patterns.

• YouTube
• 14 minutes
• On-Demand
• Free Video

Association for Computing Machinery (ACM)

Mutual Information-based Preference Disentangling and Transferring for Cross-Domain Recommendations

Explore mutual information-based techniques for disentangling and transferring user preferences across multiple non-overlapping domains in recommendation systems.

• YouTube
• 13 minutes
• On-Demand
• Free Video