Track: Art of Relevancy and Recommendations
Day of week:
Surfacing relevant content has been an active area of development for decades, and has become more important over time with the prevalence of smaller screens and, more recently, the rise of conversational interfaces. In this track we'll cover practical real-world approaches to the problem of relevancy, ranking, and recommendations.
We'll explore the ways companies are using machine learning techniques to help users find the most interesting stories, recommend products, improve search rankings and control chatbots. We hope you'll learn some new tricks and feel empowered to add more intelligence to your products. You will find the practical application of Artificial Intelligence (AI) and Deep Learning techniques in the track.
by Clarence Chio
Security Research Engineer @ShapeSecurity
The age of artificial intelligence is upon us. Whether you know it or not, we interact with systems powered by machine learning on a daily basis. If you ever wondered how social networks, online retailers, and video streaming sites seem to know exactly what content and products you desire, this session is for you.
In this talk, we will walk you through the creation of a real-world relevance and recommendation system from scratch. We will cover the machine learning theory powering such...
by Bo Peng
Partner and Data Scientist @Datascope
When solving problems, data scientists often start from the data, run analyses, and then almost as an afterthought, think about presenting results to stakeholders. This rigid, linear approach often fails to produce useful results.
At Datascope, we adopt methodologies from the design community, iteratively improving our work to ensure that our deliverable is useful to our clients. In building an Expert Finder application for a Fortune 50 company, we adopted such methodologies not only...
by Daniel Tunkelang
Data Scientist, Author of "Faceted Search"
Query understanding is about focusing less on the search results and more on the query itself. It's about figuring out what the searcher wants, rather than scoring and ranking results. Once you have established a query understanding mindset, your overall approach to search changes: you focus on query performance rather than ranking. In particular, you pay more attention to query suggestions, especially those generated through autocomplete.
In this talk, I'll show you what search looks...
by Nikhil Garg
Engineering Manager @Quora
Quora is a high-quality knowledge platform used by more than 100M people every month. In this presentation, I will introduce various ML problems that are important for Quora to solve in order to keep our quality high at such a massive scale. I will also describe our approach to these problems and share some lessons from building and maintaining these system at production scale.
by Mitul Tiwari
Worked on recommender systems such as People You May Know @LinkedIn
Smaller screens and conversational interfaces are now a reality. Recommendation and personalization are going to be key to make conversation interface a success. Traditionally recommendation systems are very important for web services like Amazon, Netflix, Facebook and LinkedIn for engaging users and discovering new content, products and connections.
This talk first describes how recommendation systems have evolved over time and how bots are emerging as a new form of delivering...
Monday Nov 7
Architectures You've Always Wondered About
You know the names. Now learn lessons from their architectures
Distributed Systems War Stories
“A distributed system is one in which the failure of a computer you didn't even know existed can render your own computer unusable.” - Lamport.
State of the art in Container deployment, management, scheduling
Art of Relevancy and Recommendations
Lessons on the adoption of practical, real-world machine learning practices. AI & Deep learning explored.
Next Generation Web Standards, Frameworks, and Techniques
Keeping life in balance is a challenge. Learn lifehacks, tips, & techniques for success.
Tuesday Nov 8
Next Generation Microservices
What will microservices look like in 3 years? What if we could start over?
Java: Are You Ready for This?
Real world lessons & prepping for JDK9. Reactive code in Java today, Performance/Optimization, Where Unsafe is heading, & JVM compile interface.
Big Data Meets the Cloud
Overviews and lessons learned from companies that have implemented their Big Data use-cases in the Cloud
Lessons/stories on optimizing the deployment pipeline
Software Engineering Softskills
Great engineers do more than code. Learn their secrets and level up.
Modern CS in the Real World
Applied, practical, & real-world dive into industry adoption of modern CS ideas
Wednesday Nov 9
Architecting for Failure
Your system will fail. Take control before it takes you with it.
Stream Processing, Near-Real Time Processing
Bare Metal Performance
Native languages, kernel bypass, tooling - make the most of your hardware
Culture as a Differentiator
The why and how for building successful engineering cultures
//TODO: Security <-- fix this
Building security from the start. Stories, lessons, and innovations advancing the field of software security.
Bots, virtual reality, voice, and new thought processes around design. The track explores the current art of the possible in UX and lessons from early adoption.