Building Real Time Recommendation Engines - Presentation and hands-on
Building Real Time Recommendation Engines - Presentation and hands-on
We are seeing recommendation engines at work everywhere. When we switch on Netflix, the shows that we see on the screen are coming from a recommendation engine. When we search google, the results that come as well as the ads that are displayed are the result of a complex interplay of several recommendation engines.
In this presentation we will look at the mathematics, algorithms and programming behind Recommendation Engines. The talk will be a presentation and attendees are encouraged to follow the presenter by getting their hands dirty in building a simple recommendation engine that uses a collaborative filter. This presentation will describe how a graph database is useful when it comes to recommendations.
Please come and join us, learn the mathematics and programming that powers the ubiquitous recommendation engines.
Date and Time
Location
Hosts
Registration
- Date: 18 Oct 2019
- Time: 06:00 PM to 07:30 PM
- All times are (GMT-07:00) US/Mountain
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- University of Denver
- 2155 East Wesley Avenue
- Denver, Colorado
- United States 80208
- Building: Daniel Felix Ritchie School of Engineering & Computer Science
- Room Number: ECS 357
- Click here for Map
- Contact Event Host
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7202898803
- Co-sponsored by Amit Gupta
- Starts 13 October 2019 12:16 PM
- Ends 18 October 2019 08:00 PM
- All times are (GMT-07:00) US/Mountain
- No Admission Charge
Speakers
Ashwin Pingali
Building Real Time Recommendation Engines - Presentation and hands-on
Ashwin Pingali has completed his PhD in Computer Science & Information Technology with the University of Colorado, Denver (All but Dissertation). An MBA in Operations, Information Systems and Marketing with the Indian Institute of Management and a BS in Engineering Technology (Gold Medal Honors) with the Jawaharlal Nehru Technological University, Hyderabad India.
Ashwin is currently working as the CTO for Aivante a health care fintech startup and Apps Consultants a company focused on bringing Big Data technologies into everyday business operations.
Dr Panglai additionally consults with Dish Networks as a Data Scientist helping their budding Enterprise Data Science execute Predictive Modeling and Optimization projects in AdTech and Fraud Monitoring.
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