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Using Data Science to Increase Shopper Productivity

December 7, 2018 @ 2:30 am - 4:15 am

Parking will be reimbursed for $5

Recommender systems pose unique challenges to data scientists because the effectiveness of the recommendations can only be assessed by the response of the consumer. In this regard recommenders can be thought of as feedback control systems, whereby the control model parameters are adjusted to optimize the desired outcomes of the business.

The presentation will focus on various aspects of setting up a recommender system, including representation and collection of behavioral signals, development and testing of machine learning algorithms, and architecting a platform for combining past information with live inputs to make real-time decisions about what to next show the consumer. The presentation will also describe the experience of Certona Corporation in creating a commercial personalization platform that blends data science with business rules to satisfy the practical requirements of merchandizers and other non-scientist users.

Speaker(s): Geoffrey Hueter, Ph.D.,

Agenda:

Networking and Refreshments 6:30-7, talk 7-8, Q&A 8-8:15.

Park and pay at a Visitor spot in Hopkins Parking Structure: http://seminarseries.ucs d.edu/getting-here/

Parking App and information: https://transportation.ucsd.edu/parking/visitor/index.html

If coming by Lyft, Uber or Cab then navigate to Atkinson Hall.

Location:
Atkinson Hall, 9500 Gilman Drive #0436
La Jolla, California
92023

Details

Date:
December 7, 2018
Time:
2:30 am - 4:15 am
Event Category:
Website:
http://events.vtools.ieee.org/m/182397

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