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IntoTheMinds consulting blog
Advice in Data & IT
Recommendation algorithms : how CNN.com and Quartz learn to better know you
Nov02

Recommendation algorithms : how CNN.com and Quartz learn to better know you

Making meaningful algorithmic recommendations require that your algorithm is “fed” with data about your customers tastes. This can be done in many ways : implicit feedback : it’s when you track a user’s actions and infere her taste based on them collaborative filtering : using someone’s profile and other similar persons’ taste you are then able to make recommendations explicit feedback : when you...

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Signs of the Times : an artistic project on algorithmic recommendations
Sep08

Signs of the Times : an artistic project on algorithmic recommendations

Recommendations are everywhere online but offline recommendations have never been heard of. Until New-Zealand based artists Scott Kelly and Ben Polkinghorne chose to use this widespread technology in an offline context. The result is an eye-opening experiment called “Signs of the Times” that forces us to look at the predominant place recommendations have taken in our online lives. What would we do without recommendaiton...

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Workshop on fairness and ethics in recommendation systems
Sep06

Workshop on fairness and ethics in recommendation systems

On the last day of the RecSys 2017 conference I was fortunate enough to be in the organizing committee of the workshop on fairness, accountability and transparency in recommendation systems (F.A.T.REC). This workshop was the first of its kind within the RecSys community ; the conference is indeed usually very much tech-oriented and Joe Konstan, who chaired the very first ACM Recsys conference, indicated in a plenary session that he...

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