[HTML][HTML] A survey of recommendation systems: recommendation models, techniques, and application fields

H Ko, S Lee, Y Park, A Choi - Electronics, 2022 - mdpi.com
This paper reviews the research trends that link the advanced technical aspects of
recommendation systems that are used in various service areas and the business aspects of …

Machine culture

L Brinkmann, F Baumann, JF Bonnefon… - Nature Human …, 2023 - nature.com
The ability of humans to create and disseminate culture is often credited as the single most
important factor of our success as a species. In this Perspective, we explore the notion of …

“Okay, whatever”: An evaluation of cookie consent interfaces

H Habib, M Li, E Young, L Cranor - … of the 2022 CHI conference on …, 2022 - dl.acm.org
Many websites have added cookie consent interfaces to meet regulatory consent
requirements. While prior work has demonstrated that they often use dark patterns—design …

[HTML][HTML] Current challenges and visions in music recommender systems research

M Schedl, H Zamani, CW Chen, Y Deldjoo… - International Journal of …, 2018 - Springer
Music recommender systems (MRSs) have experienced a boom in recent years, thanks to
the emergence and success of online streaming services, which nowadays make available …

Identifying core indicators of sustainable tourism: A path forward?

E Agyeiwaah, B McKercher, W Suntikul - Tourism Management …, 2017 - Elsevier
Progress towards a more sustainable tourism sector at an enterprise level has been slow,
even though a number of studies have developed a variety of indicators. Indeed, so many …

[图书][B] Computing taste: Algorithms and the makers of music recommendation

N Seaver - 2022 - books.google.com
Meet the people who design the algorithms that capture our musical tastes. The people who
make music recommender systems have lofty goals: they want to broaden listeners' horizons …

[HTML][HTML] Explaining the user experience of recommender systems

BP Knijnenburg, MC Willemsen, Z Gantner… - User modeling and user …, 2012 - Springer
Research on recommender systems typically focuses on the accuracy of prediction
algorithms. Because accuracy only partially constitutes the user experience of a …

Evaluating recommender systems from the user's perspective: survey of the state of the art

P Pu, L Chen, R Hu - User Modeling and User-Adapted Interaction, 2012 - Springer
A recommender system is a Web technology that proactively suggests items of interest to
users based on their objective behavior or explicitly stated preferences. Evaluations of …

MyMediaLite: A free recommender system library

Z Gantner, S Rendle, C Freudenthaler… - Proceedings of the fifth …, 2011 - dl.acm.org
MyMediaLite is a fast and scalable, multi-purpose library of recommender system
algorithms, aimed both at recommender system researchers and practitioners. It addresses …

User perception of differences in recommender algorithms

MD Ekstrand, FM Harper, MC Willemsen… - Proceedings of the 8th …, 2014 - dl.acm.org
Recent developments in user evaluation of recommender systems have brought forth
powerful new tools for understanding what makes recommendations effective and useful …