How LinkedIn Makes Personalized Recommendations via Photon-ML Machine Learning tool - Oct 16, 2017.
In this article we focus on the personalization aspect of model building and explain the modeling principle as well as how to implement Photon-ML so that it can scale to hundreds of millions of users.
Deepak Agarwal, LinkedIn, Machine Learning, Recommendation, Recommender Systems
- Interview: Ranjan Sinha, eBay on Winner Insights from International Sorting Competitions - Jun 10, 2015.
We discuss advancements in the field of Personalization, lessons from winning sorting competitions, Data Science trends, career advice, and more.
Advice, Career, Competition, eBay, Insights, Interview, Personalization, Ranjan Sinha, Recommendation, Trends
- Love, Sex and Predictive Analytics - Jun 4, 2015.
Here, we are trying to understand the working mechanisms of dating sites, algorithms used and role of predictive analytics while matchmaking. We have also gleaned some interesting analytical insights from them.
Love, Match.com, OkCupid, Online Dating, Predictive Analytics, Recommendation, Tinder
- Interview: Antonio Magnaghi, TicketMaster on Why Honesty is Key for Analytics Success - May 19, 2015.
We discuss lessons from implementing lambda architecture, impact of Big Data on recommender systems, trends, advice, and more.
Advice, Analytics, Antonio Magnaghi, Interview, Personalization, Recommendation, Skills, Success, TicketMaster, Trends
- Interview: Ted Dunning, MapR on The Real Meaning of Real-Time in Big Data - Mar 2, 2015.
We discuss major Big Data developments in 2014, real-time processing, interactive queries, streaming systems, batch systems, MapR partnerships and challenges in scaling recommendation engines.
Big Data, MapR, Real-time, Recommendation, Stream Mining, Ted Dunning
- ASE International Conference on Big Data Science 2014: Day 1 Highlights - Aug 1, 2014.
Highlights from the presentations by Data Science leaders from Pivotal, IBM Research, George Washington University, IARPA at ASE Conference on Big Data Science 2014 held in Stanford University.
Cloud Foundry, Conference, Cybersecurity, Hadoop, Infrastructure, Predictive Models, Recommendation, Stanford
- Interview: Taylor Phillips, Square on Why Finance Needs Machine Learning and Data Science - Aug 1, 2014.
We discuss the role of data science at Square, common machine learning use cases, transition to real-time architecture, major challenges, expectations from data science, key qualities for data scientists, and more.
Data Science, Finance, Fraud Detection, Machine Learning, Real-time, Recommendation, Skills, Square, Taylor Phillips
- Microsoft: SDE Student – Xbox Recommendation - Jul 30, 2014.
Responsibilities include data mining of large datasets using map-reduce technologies, using statistical methods to find patterns in data, coming up with hypothesis and using data to validate them.
Israel, Recommendation, Software Engineer, Xbox
- Interview: Sastry Malladi, StubHub on Designing Big Data Architecture for the Unknown Future - Jul 28, 2014.
We discuss the Big Data architecture at StubHub, important factors in architecture design, hybrid approach of using Big Data along with traditional data warehouses, challenges, importance of meta-data and more.
Architecture, Challenges, Design, Hadoop, Interview, Metadata, Personalization, Recommendation, Sastry Malladi, StubHub
- Interview: Cliff Lyon, Stubhub on Mastering Recommendation & Personalization Analytics Part 2 - Jul 19, 2014.
We discuss current trends, future vision, interesting correlations, privacy concerns, and advice for Data Science practitioners.
Advice, Cliff Lyon, Metrics, Motivation, Personalization, Recommendation, StubHub
- Interview: Cliff Lyon, Stubhub on Mastering the Art of Recommendation and Personalization Analytics - Jul 18, 2014.
We discuss challenges in designing recommendation and personalization systems, how to select the right metrics, and learning regarding presentation of recommendation on different channels.
A/B Testing, Algorithms, Cliff Lyon, Experimentation, Metrics, Personalization, Recommendation, StubHub
- Is Data Scientist the right career path for you? Candid advice - Mar 28, 2014.
Candid advice from an industry veteran reveals the true picture behind the much-talked-about Data Scientist "glamour" and helps people have the right expectations for a Data Science career.
Advice, Career, Data Science, Data Scientist, Hadoop, Paco Nathan, Recommendation, Visualization
