Recomm. Engines
Recommendation Frameworks
- easyrec
- crab
- Apache Mahout
- Duine
- Oryx
- myrrix
- Apaceh Spark
- Node.js: racoon
- Ruby Toolbox: Recommendation Engines
Graph DB & Tools
Reading Resources
- Quora: Recommendation Engine Community
- Quora: How does LinkedIn’s recommendation system work?
- Quora: What are some good research papers and articles on recommendation systems and engines?
- Creating a User-Based Recommender in 5 minutes
- Neo4j Spatial, Part 1: Building a Recommendation Engine
- Neo4j, A Graph Database For Building Recommendation Engines, Gets A Visual Overhaul
- Building a real time, solr-powered recommendation engine
- The recommender problem revisited
- Constructing and mining Web-scale Knowledge Graph
- Recommender Systems
- 5 Lessons Learned from the Event Recommendation Challenge
- Github Contest
- How can I start building a recommendation engine?
- Quora: Recommendation System Startups and Products
- Quora: Personalization
- Quora: Collaborative Filtering
- Quora: Similarity Search
- Slideshare: Using AWS to Build a Graph-Based Product Recommendation System
- PDF: You Might Also Like: A Multi-GPU Recommendation System
- Recommendation System in R
- Build Recommendation Engine with MongoDB and Hadoop
- Building a Recommendation System in Python
- How good is Directed Edge?
- Are there any good open source python alternatives to Directed Edge and Google Prediction API?
- Why You Should Not Build a Recommendation Engine
- Recommendations Everywhere
- Here’s How OkCupid Uses Math to Find Your Match
- SlideShare: Recommendations play @flipkart
- The YouTube Video Recommendation System 30 How Computers Know What We Want — Before We Do
- Slope One
- Collaborative Filtering for Orkut Communities
- Efficient K-Nearest Neighbor Graph Construction for Generic Similarity Measures
- SlideShare: Algorithmic Music Recommendations at Spotify
- SlideShare: Music Recommendations at Scale with Spark
- Giving Away Our Recommendation Engine for Free
- Collaborative Filtering
- Kaggle: CarrerBuilder Post Mortem – What data did you use?
- LinkedIn Publications
- Building the Next New York Times Recommendation Engine
- Research on Recommendation System
- A Unified Approach to Building Hybrid Recommender Systems
- Recommender System Algorithms