In this meetup we have two great speakers - Joe Depeau of Neo4j & Helen Lippell who is an Independent Taxonomy Consultant & Chair of Taxonomy Bootcamp.
We’re all familiar with recommendations in a number of different areas of our lives. Recommendations for social media connections, e-commerce products, or streaming media content are ubiquitous. Perhaps less well known are applications for recommendations in different contexts - like education, HR, fraud detection, business process management, or offender rehabilitation. In this talk we will discuss some of these recommendations use cases in more detail, and look at how graph data can be used to model each domain and power a recommendations engine. We’ll also see an example use case demonstrated using Neo4j.
YOU MAY ALSO LIKE:
- Fast Track to DevOps Fundamentals (in London on 23rd - 24th September 2019)
- CloudNative London 2019 (in London on 25th - 27th September 2019)
- Running Stateful Applications in Kubernetes (in London on 5th September 2019)
- Real-time Systems with Spark Streaming and Kafka (in London on 30th September - 1st October 2019)
- Leonardo De Marchi's Deep Learning Fundamentals (in London on 22nd - 23rd October 2019)
- Haskell eXchange 2019 (in London on 10th - 11th October 2019)
- You got served: How Deliveroo improved the ranking of restaurants (in London on 27th August 2019)
- AlphaGo Zero: Mastering the Game of Go without Human Knowledge (in London on 27th August 2019)
- Genetic Programming for RL on Minecraft (SkillsCast recorded in August 2019)
- Designing trust and transparency using AI (SkillsCast recorded in August 2019)
Thanks to our sponsors
Graphs for recommendation engines: Looking beyond social, retail, and media
Joe Depeau
Originally from the USA but now living in the UK, Joe Depeau has over 20 years of varied experience in the IT industry across a number of domains and specialties. Most recently, Joe has focused on technical pre-sales and solution architecture in the data and analytics space. When not geeking out over data and technology he enjoys camping, hiking with his dog, tending to his garden, reading, and playing boardgames and RPGs. He also bakes a mean cheesecake.
In this meetup we have two great speakers - Joe Depeau of Neo4j & Helen Lippell who is an Independent Taxonomy Consultant & Chair of Taxonomy Bootcamp.
We’re all familiar with recommendations in a number of different areas of our lives. Recommendations for social media connections, e-commerce products, or streaming media content are ubiquitous. Perhaps less well known are applications for recommendations in different contexts - like education, HR, fraud detection, business process management, or offender rehabilitation. In this talk we will discuss some of these recommendations use cases in more detail, and look at how graph data can be used to model each domain and power a recommendations engine. We’ll also see an example use case demonstrated using Neo4j.
YOU MAY ALSO LIKE:
- Fast Track to DevOps Fundamentals (in London on 23rd - 24th September 2019)
- CloudNative London 2019 (in London on 25th - 27th September 2019)
- Running Stateful Applications in Kubernetes (in London on 5th September 2019)
- Real-time Systems with Spark Streaming and Kafka (in London on 30th September - 1st October 2019)
- Leonardo De Marchi's Deep Learning Fundamentals (in London on 22nd - 23rd October 2019)
- Haskell eXchange 2019 (in London on 10th - 11th October 2019)
- You got served: How Deliveroo improved the ranking of restaurants (in London on 27th August 2019)
- AlphaGo Zero: Mastering the Game of Go without Human Knowledge (in London on 27th August 2019)
- Genetic Programming for RL on Minecraft (SkillsCast recorded in August 2019)
- Designing trust and transparency using AI (SkillsCast recorded in August 2019)
Thanks to our sponsors
Graphs for recommendation engines: Looking beyond social, retail, and media
Joe Depeau
Originally from the USA but now living in the UK, Joe Depeau has over 20 years of varied experience in the IT industry across a number of domains and specialties. Most recently, Joe has focused on technical pre-sales and solution architecture in the data and analytics space. When not geeking out over data and technology he enjoys camping, hiking with his dog, tending to his garden, reading, and playing boardgames and RPGs. He also bakes a mean cheesecake.