Personal Information
Unternehmen/Arbeitsplatz
San Francisco Bay Area United States
Beruf
Vice President of Engineering, Groupon local products
Branche
Technology / Software / Internet
Info
Web Technologist leading a stellar team of Engineers and Scientists working on Computational Advertising, Recommender System Applications Data Products, User Behavioral Modeling, Relevance for LinkedIn Recruiter & LinkedIn Sales Connect, Online Experimentation, Spam & Content Quality systems, Data Tracking and Information Extraction systems for LinkedIn. My team is also responsible for all Relevance Infrastructure for real-time response prediction & Recommender Systems.
Lead on relevance applications and algorithms for all monetization products across the four lines of business for Linkedin and building out real-time stream processing and machine learning inference,ranking and recommende...
Tags
linkedin
recsys2012
recommender systems
anmol bhasin
acm recsys
icml 2012
text analytics summit
san francisco
deepak agarwal
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Präsentationen
(4)Gefällt mir
(6)How AlphaGo Works
Shane (Seungwhan) Moon
•
Vor 8 Jahren
The Wisdom of David Henke
Josh Clemm
•
Vor 8 Jahren
Learning to Rank for Recommender Systems - ACM RecSys 2013 tutorial
Alexandros Karatzoglou
•
Vor 10 Jahren
[RecSys '13]Pairwise Learning: Experiments with Community Recommendation on LinkedIn
Amit Sharma
•
Vor 10 Jahren
Translating Related Words to Videos and Back through Latent Topics
Pradipto Das
•
Vor 11 Jahren
Entrepreneurshit. The Truth About Building Starutps
Mark Suster
•
Vor 11 Jahren
Personal Information
Unternehmen/Arbeitsplatz
San Francisco Bay Area United States
Beruf
Vice President of Engineering, Groupon local products
Branche
Technology / Software / Internet
Info
Web Technologist leading a stellar team of Engineers and Scientists working on Computational Advertising, Recommender System Applications Data Products, User Behavioral Modeling, Relevance for LinkedIn Recruiter & LinkedIn Sales Connect, Online Experimentation, Spam & Content Quality systems, Data Tracking and Information Extraction systems for LinkedIn. My team is also responsible for all Relevance Infrastructure for real-time response prediction & Recommender Systems.
Lead on relevance applications and algorithms for all monetization products across the four lines of business for Linkedin and building out real-time stream processing and machine learning inference,ranking and recommende...
Tags
linkedin
recsys2012
recommender systems
anmol bhasin
acm recsys
icml 2012
text analytics summit
san francisco
deepak agarwal
Mehr anzeigen