building a real-time recommendation engine @lyonwj william ... · building a real-time...
TRANSCRIPT
OSCON 2017
William Lyon@lyonwj
Building a real-time recommendation engine with Neo4j
Agenda
•••
• Use cases• Recommender systems
• Hands-on!• Graph data modeling• Cypher
Graph Data Model
Labeled Property Graph Model
Labeled Property Graph Model
The Graph
The Graph
The Graph
Cypher
Use Case: Personalized Recommendations
Personalized Promotions Personalized Real-Time Recommendations
Personalized Real-Time Recommendations
Data-Model (Expressed as
a graph)
Category
Category
Product
Product
Product
Collaborative FilteringAn algorithm that considers users
interactions with products, with the assumption that other users will
behave in similar ways.
Algorithm Types
Content BasedAn algorithm that considers
similarities between products and categories of products.
Customer
Customer
Product
Product
Product
Purchases
RELATIONAL DB WIDE COLUMN STORE
Views
DOCUMENT STORE
User Review
RELATIONAL DB
In-Store Purchase
Shopping Cart
KEY VALUE STORE
Product Catalogue
DOCUMENT STORE
Category Price ConfigurationsLocation
Polyglot Persistence
Purchase ViewReviewReturn In-store PurchasesInventory LocationCategory Price ConfigurationsLocation Purchase ViewReviewReturn In-store PurchasesInventory
Products Customers / Users
Location
Data Lake
Purchases
RELATIONAL DB
Product Catalogue
DOCUMENT STORE WIDE COLUMN STORE
Views
DOCUMENT STORE
User Review
RELATIONAL DB
In-Store Purchase
Shopping Cart
KEY VALUE STORE
Recommendations require an operational workload — it’s in the moment, real-time!
Good for Analytics, BI, Map ReduceNon-Operational, Slow
Queries
Purchases
RELATIONAL DB
Product Catalogue
DOCUMENT STORE WIDE COLUMN STORE
Views
DOCUMENT STORE
User Review
RELATIONAL DB
In-Store Purchase
Shopping Cart
KEY VALUE STORE
Connector
Drivers: Java | JavaScript | Python | .Net | PHP | Go | Ruby
Apps and Systems
Real-Time Queries
Graph-based recommendations
Collaborative Filtering
Collaborative Filtering
Collaborative Filtering
Collaborative Filtering
In Cypher
In Cypher
Content Filtering
Content Filtering
Content Filtering w/ Cypher
Content Filtering - Concept Hierarchy
Content Filtering - Concept Hierarchy
Content Filtering - Concept Hierarchy
Content Filtering - Concept Hierarchy w/ Cypher
Content Filtering - Concept Hierarchy w/ Cypher
● →○○
● →○○
Click “Neo4j Browser”
You should see this:
Neo4j Browser● Query workbench /
visualization for Neo4j● Interactive “guides” for
our tutorial today● Embed content, queries
(you)-[:HAVE]->(?)(?)<-[:ANSWERS]-(will)