skip to Main Content

Abstract

Understanding the Visual Dynamics of Opinions and Purchase

Services such as Amazon, Yelp, Netflix etc. aim to personalize content to users by means of so-called “recommender systems.” Such systems work by modeling users’ previous activities (ratings, purchases, clicks etc.) in order to estimate how they will respond to new content in the future. In this talk, I’ll give a high-level introduction to such systems, and discuss in particular how the visual appearance of items can be modeled for applications such as clothing recommendation. Understanding the visual dimensions of people’s opinions shall help to provide better recommendations, but also to understand how visual preferences (i.e., “fashions”) have changed over time

Wednesday, October 26, 2016
CSE 1202

Read Next

Jeffrey Elman (UC San Diego)

Wednesday, January 10, 2018 at 4:00 PM
Designing for change: The challenge of institutional aging (and success)
CSE 1202 on the UCSD Campus
Uc San Diego Design Lab Architecture Of Four Ecologies

SAN DIEGO 2049: Speculative Design for Policy Making

On Going Series
Check Schedule for Events

Maneesh Agrawala (Stanford University)

Wednesday, March 2, 2016 at 4:00 PM
Storytelling Tools
Fung Auditorium on the UCSD Campus
Back To Top