Recommender systems leveraging multimedia content

Y Deldjoo, M Schedl, P Cremonesi, G Pasi - ACM Computing Surveys …, 2020 - dl.acm.org
Recommender systems have become a popular and effective means to manage the ever-
increasing amount of multimedia content available today and to help users discover …

The role of music in everyday life: Current directions in the social psychology of music

PJ Rentfrow - Social and personality psychology compass, 2012 - Wiley Online Library
Music is a crucial element of everyday life. People spend hours listening to it and billions of
dollars buying it. Yet despite the pervasiveness of music, mainstream social‐personality …

Context-aware proactive content caching with service differentiation in wireless networks

S Müller, O Atan, M Van Der Schaar… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Content caching in small base stations or wireless infostations is considered to be a suitable
approach to improve the efficiency in wireless content delivery. Placing the optimal content …

Explainability in music recommender systems

D Afchar, A Melchiorre, M Schedl, R Hennequin… - AI Magazine, 2022 - ojs.aaai.org
The most common way to listen to recorded music nowadays is via streaming platforms,
which provide access to tens of millions of tracks. To assist users in effectively browsing …

Music through the ages: Trends in musical engagement and preferences from adolescence through middle adulthood.

A Bonneville-Roussy, PJ Rentfrow… - Journal of personality …, 2013 - psycnet.apa.org
Are there developmental trends in how individuals experience and engage with music?
Data from 2 large cross-sectional studies involving more than a quarter of a million …

Extracting features of entertainment products: A guided latent dirichlet allocation approach informed by the psychology of media consumption

O Toubia, G Iyengar, R Bunnell… - Journal of Marketing …, 2019 - journals.sagepub.com
The authors propose a quantitative approach for describing entertainment products, in a way
that allows for improving the predictive performance of consumer choice models for these …

Psychology-informed recommender systems

E Lex, D Kowald, P Seitlinger, TNT Tran… - … and trends® in …, 2021 - nowpublishers.com
Personalized recommender systems have become indispensable in today's online world.
Most of today's recommendation algorithms are data-driven and based on behavioral data …

[图书][B] Wired for culture: origins of the human social mind

M Pagel - 2012 - books.google.com
A fascinating, far-reaching study of how our species' innate capacity for culture altered the
course of our social and evolutionary history. A unique trait of the human species is that our …

When e-commerce personalization systems show and tell: Investigating the relative persuasive appeal of content-based versus collaborative filtering

M Liao, SS Sundar - Journal of Advertising, 2022 - Taylor & Francis
In the e-commerce context, are we persuaded more by a product recommendation that
matches our preferences (content filtering) or by one that is endorsed by others like us …

Alleviating the new user problem in collaborative filtering by exploiting personality information

I Fernández-Tobías, M Braunhofer, M Elahi… - User Modeling and User …, 2016 - Springer
The new user problem in recommender systems is still challenging, and there is not yet a
unique solution that can be applied in any domain or situation. In this paper we analyze …