With the exponential increase in (Big) Data, online shops, online music, video, image libraries etc., Search Engines and Recommendation Systems are the best ways to find what you are looking for (and sometimes, what you are NOT looking for). Meanwhile Deep learning has made significant advances in speech, numeric, text and image processing.
Typical recommendation systems can be organized into three groups:
1) Collaborative system
2) Content based system
3) Hybrid system.
We will be touching upon few recommendation systems coupled with Big Data Infrastructure to collect, capture, process and make available data for several application domains.
Beginners and Intermediate skilled in Recommender systems
WHAT TO EXPECT:
The attendees will understand the concepts and discuss the building blocks of Recommender Systems.
SK is the Chief Product Officer AI in Hexagon (www.hexagon.com). He is an AI expert, a successful twice startup entrepreneur, speaks regularly to audiences around the globe and is an AI blogger. Rutgers University invited him to be on their Board for Big Data.
Claim the event and start manage its content.I am the organizer