Real-time Personalization

Brown Bag Seminar
person holding an iPad
Speaker
Date
Thursday 12 May 2022, 12:00 - 13:00
Type
Seminar
Room
C1-06
Building
Theil Building
Registration Add to calendar
person holding an iPad

Real-time recommendation engines enable effective personalization in e-commerce. Yet, the development of such engines is not trivial. It remains challenging to optimize across many options, especially while utilizing context information in real time.

To meet these challenges, we aim to provide an easy-to-implement personalization method to support online retailers and marketers in making fast adaptive decisions.

We formalize the personalization problem under the multi-armed bandit framework and propose a new contextual bandit algorithm based on the particle-filtering technique. Our method allows firms to flexibly introduce new personalized options, calibrate their impact using prior knowledge from historical data and rapidly update these prior beliefs as new observations arrive. In an application to news-article recommendation, we show that the proposed method achieves a Click-Through-Rate (CTR) of 5.96%, compared to the state-of-the-art methods such as UCB and LinUCB which achieve a CTR of 5.44% and 5.97%, respectively.

Registration Brown Bag Seminar

I am interested in a brown bag seminar: Contains required fields
Deadline for registration is on the Friday (before 17:00) preceding the Brown Bag Seminar on Thursday.

 
Fields marked with an * are required.

Privacy Statement

Erasmus School of Economics handles your (registration) information confidentially. Your data will only be used for logistical purposes. More information can be found on www.eur.nl/en/ese/disclaimer/privacy-statement.

This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.

Compare @count study programme

  • @title

    • Duration: @duration
Compare study programmes