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

Design Lab Smart City Saturday Hackathon
Design Lab Thermo Scientific

Introduction to Open Inventor Toolkit and Amira-Avizo Software

Wednesday, May 23, 2018 at 6-8 p.m.
CSE 1202 on UCSD Campus

Edith Law (Harvard University)

February 12, 2014
Design Techniques for Crowdsourcing Complex Tasks
Back To Top