CATCH-UP: Changes in online shopping behaviour due to COVID-19

An interactive webinar on how data-driven consumer recommendations have been impacted by lockdown behaviours.

What is the role of data in e-commerce recommendation systems – and how have changes in online shopping behaviour due to COVID-19 had an impact on the AI-based recommender system and business in general?

Imagine the future of personalised online retail – what does that look like, and how does it quickly adapt to global crises and changes in behaviour?

Watch this free webinar to learn more about how online shopping behaviour has changed quickly, and what this means for retail businesses.

SPECIAL GUEST: DR FARHANA LIZA

Dr Farhana Liza, is a Senior Research Officer at the School of Computer Science and Electronic Engineering and the Business and Local Government Data Research Centre at the University of Essex.

Farhana’s research specialisms include artificial intelligence and machine learning and she has worked on many projects which involved large datasets, machine learning methods, predictive modelling and developed novel evaluation techniques.


This event was for businesses, entrepreneurs and creative enterprises as part of www.drivaartsdriva.com.

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