Marketing, customer satisfaction and loyalty
Satisfied customers will follow you everywhere
The effects of ad frequency and recency on click-through-rate (CTR)
Mar25

The effects of ad frequency and recency on click-through-rate (CTR)

Less is more. This could be the conclusion of a recent marketing research study on online advertising published in the IJRM (International Journal of Research in Marketing ; see references at the end of this article). The authors, Steffen Fötsch and Evert de Haan (University of Francfort, Germany) studied a dataset of 5.8bn ad impressions and 1.8m clicks delivered for 158 advertisers across 25 industries. Their work show that...

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Marketing research : purchase drivers of luxury iconic products
Feb04

Marketing research : purchase drivers of luxury iconic products

An interesting piece of marketing research was presented on the last day of the International Marketing Trends conference that took place in Venice from 17 to 19 January 2019. The research was carried out by a team of 4 researchers from INSEEC business school (see reference at the end of this article) and was entitled “Timeless luxury: what drives the purchase of iconic products“. You’ll find the powerpoint slides of...

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How do users behave when they can control the Spotify interface
Dec07

How do users behave when they can control the Spotify interface

At the RecSys 2018 conference an interesting piece of research was presented by Yucheng Jin (University of Leuven), Nava Tintarev (TU Delft), Katrien Verbert (KU Leuven). Their paper, entitled “Effects of Personal Characteristics on the Music Recommender with Different Controllability” explores the effects of an interface provided to Spotify users to better control and adjust their musical recommendations. Providing...

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Mixed research methods for the analysis of recommendation algorithms
Dec03

Mixed research methods for the analysis of recommendation algorithms

The first day of the RecSys 2018 conference was dedicated to tutorials. One of them was assigned to mixed methods for evaluating user satisfaction. It was organised by a team of Spotify researchers (Jean Garcia-Gathright, Christine Hosey, Brian St. Thomas, Ben Carterette) and Fernando Diaz of Microsoft Research (Canada). The tutorials covered aspects of qualitative research, quantitative research and analysing data; a combination of...

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Overview of RecSys 2018 at EBU conference on artificial intelligence
Nov26

Overview of RecSys 2018 at EBU conference on artificial intelligence

A two-day conference was held at the headquarters of the European Broadcasting Union (EBU) in Geneva on 8 and 9 November. I had the pleasure of hosting a workshop on ethics and artificial intelligence aspects on the first day and giving an overview of the RecSys 2018 conference on the second day. In the latter, I presented what interested me most about RecSys 2018 (the most renowned conference on recommendation systems) which was held...

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Recommendation systems: a scientific investigation of user inaction
Oct31

Recommendation systems: a scientific investigation of user inaction

One of the most interesting researches at RecSys 2018 was for me the paper on user inaction by Qian Zhao, Martijn Willemsen, Gediminas Adomavicius, F. Maxwell Harper and Joe Konstan (full title: “Interpreting User Inaction in Recommender Systems“). We are so focused on interpreting signals that we often forget to take the absence of signal into account. Yet, as this paper shows, lack of information is already a piece of...

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We need to rethink how to study filter bubbles: here’s why
Oct24

We need to rethink how to study filter bubbles: here’s why

At the RecSys conference, the last part of my keynote was dedicated to nuancing the myth of filter bubbles and to show the limitations of current academic research and propose a new research framework. Research on filter bubbles has been technology-driven As I explained in my talk, research on filter bubbles has been mainly technology-driven and deterministic. Escaping the “bubble” has been assessed on the basis of clics...

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Why recommendation algorithms need to include personality and emotions
Oct15

Why recommendation algorithms need to include personality and emotions

At the RecSys 2018 conference on recommender systems, a very interesting tutorial was given on the first day by Marko Tkalčič from the Free University of Bozen-Bolzano. In his presentation he focused on how emotions, mood and personality shape the way we consume recommendations. Emotions, Mood and Personality shape the way we behave Marko first reminded us that we, human beings, behave according to our emotions, mood and personality....

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FATREC 2018 : keynote on public service recommendation algorithms
Oct10

FATREC 2018 : keynote on public service recommendation algorithms

I organized with my colleague Toshihiro Kamishima and Michael Ekstrand the 2nd FATREC workshop for responsible recommendations at the ACM RecSys conference on recommender system. The FATREC workshop took place on 6 October 2018 in Vancouver and gathered some 70 participants for a full-day even dedicated on Fairness, Accountability and Transparency. We organized a special dedicated to public service media which consisted in one keynote...

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IBC 2018 in Amsterdam : the right place to detect trends in the broadcasting industry
Oct03

IBC 2018 in Amsterdam : the right place to detect trends in the broadcasting industry

I’ve been attending the IBC show for the last 3 years and, although it’s a long and quite exhausting experience (the show lasts for 6 days including conferences and welcomes 57000 visitors), it has proved to be very rewarding each and every time. This year I also had the honour to be invited to speak in a “cutting edge tech innovators” session entitled “Public Service Media and the coming age of AI and...

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