Talks

An incomplete list of some of the talks, academic and otherwise, I’ve given in the past.


Recommenders for Social Good: The Role of Accountability and Sustainability
First International Workshop on Recommender Systems for Sustainability and Social Good
Alan Said
Oct 18, 2024
Recommenders for Social Good: The Role of Accountability and Sustainability
From Netnews to Ethics - A Historical Overview of Recommender Systems
Recommender Systems Summer School 2024
Alan Said
Oct 8, 2024
From Netnews to Ethics - A Historical Overview of Recommender Systems
The Environmental Cost of Recommender Systems
Nordic Personalization Workshop
Alan Said
Sep 17, 2024
The Environmental Cost of Recommender Systems
Recommender systems and trust in e-commerce
RecSys NL
Alan Said
Apr 25, 2024
Recommender systems and trust in e-commerce
Personalization Through The Evolution of Tastes
EAISI Visiting Professor Lecture
Alan Said
Apr 23, 2024
Personalization Through The Evolution of Tastes
Leveraging Large Language Models for Recommendation and Explanation
IntRS Workshop, RecSys 2023, Singapore
Alan Said
Sep 18, 2023
Leveraging Large Language Models for Recommendation and Explanation
From Netnews to Ethics - A Historical Overview of Recommender Systems
Glasgow IR Group Seminar, Online (University of Glagow)
Alan Said
Jun 5, 2023
From Netnews to Ethics - A Historical Overview of Recommender Systems
Understanding Fairness Metrics
Nordic Personalization Day, Oslo, Norway.
Alan Said
Mar 30, 2023
Understanding Fairness Metrics
Human-centered Artificial Intelligence
AI Sweden, online
Alan Said
Mar 29, 2023
Human-centered Artificial Intelligence
Recommender Systems - A Brief and Biased Overview
RISE Learning Machines Seminar, Gothenburg/Online
Alan Said
Oct 25, 2021
Recommender Systems - A Brief and Biased Overview
Recommender Systems - A Brief Overview
H&M Data Science, Stockholm/Online
Alan Said
Nov 13, 2020
Recommender Systems - A Brief Overview
AI för bättre användarupplevelse och kundnytta
Proact AI Seminar, Gothenburg
Alan Said
Mar 12, 2020
AI för bättre användarupplevelse och kundnytta