Bay Area Search @ LinkedIn - Ganesh V, Viet-Ha Thuc

Title: Personalizing Search at LinkedIn

Abstract:
LinkedIn search serves the information needs of 350MM+ members. Members search LinkedIn to connect with other members, find jobs, explore content etc. Traditional information retrieval focuses relevance as a function of query and document. LinkedIn search results are a function of query, document and user. Delivering highly personalized results at scale comes with it’s own set of challenges. In this talk, we will discuss some of these challenges as well as go over some recent advances at LinkedIn towards addressing them. We will explore Learning-to-Rank techniques used to rank search results.

Speakes:
Ganesh Venkataraman
Ganesh Venkataraman is a search lead at LinkedIn. He has been with LinkedIn since 2013. His contributions include - improving skills queries in people search and more recently in leading job search. Before LinkedIn, Ganesh was one of the founding engineers of Balanced Payments where he was the head of risk management and worked on machine learning to detect e-commerce fraud. He received his Ph.D. in Electrical and Computer Engineering from Texas A&M University. More on his LinkedIn profile: http://www.linkedin.com/in/npcomplete

Viet-Ha Thuc
Viet Ha-Thuc is a Senior Data Scientist in Search team at LinkedIn. He is currently responsible for machine learning for search quality. Before that, he was in Data Science team, where his work focused on recommendation, text mining and analytics. Prior to LinkedIn, he was a Scientist in Content Understanding group at Yahoo! Labs. He received a PhD in Computer Science from the University of Iowa in 2011.

6:30 Eat & Greet

7:00 Talk - Great speakers, good food, free beer.

We are always looking for speakers. Please suggest speakers or topics you would like to hear.