[HTML][HTML] Investigating gender fairness of recommendation algorithms in the music domain

AB Melchiorre, N Rekabsaz… - Information Processing …, 2021 - Elsevier
Although recommender systems (RSs) play a crucial role in our society, previous studies
have revealed that the performance of RSs may considerably differ between groups of …

Contextual and sequential user embeddings for large-scale music recommendation

C Hansen, C Hansen, L Maystre, R Mehrotra… - Proceedings of the 14th …, 2020 - dl.acm.org
Recommender systems play an important role in providing an engaging experience on
online music streaming services. However, the musical domain presents distinctive …

Music we move to: Spotify audio features and reasons for listening

D Duman, P Neto, A Mavrolampados, P Toiviainen… - Plos one, 2022 - journals.plos.org
Previous literature has shown that music preferences (and thus preferred musical features)
differ depending on the listening context and reasons for listening (RL). Yet, to our …

Context-aware recommender systems: From foundations to recent developments

G Adomavicius, K Bauman, A Tuzhilin… - Recommender systems …, 2021 - Springer
The importance of contextual information has been recognized by researchers and
practitioners in many disciplines, including e-commerce, personalization, information …

LFM-2b: A dataset of enriched music listening events for recommender systems research and fairness analysis

M Schedl, S Brandl, O Lesota… - Proceedings of the …, 2022 - dl.acm.org
We present the LFM-2b dataset containing the listening records of over 120,000 users of the
music platform Last. fm. These users provide a total of more than two billion individual …

Music recommendation systems: Techniques, use cases, and challenges

M Schedl, P Knees, B McFee, D Bogdanov - Recommender systems …, 2021 - Springer
This chapter gives an introduction to music recommender systems, considering the unique
characteristics of the music domain. We take a user-centric perspective, by organizing our …

Counterfactual evaluation of slate recommendations with sequential reward interactions

J McInerney, B Brost, P Chandar, R Mehrotra… - Proceedings of the 26th …, 2020 - dl.acm.org
Users of music streaming, video streaming, news recommendation, and e-commerce
services often engage with content in a sequential manner. Providing and evaluating good …

Personality and recommender systems

M Tkalčič, L Chen - Recommender systems handbook, 2012 - Springer
Personality, as defined in psychology, accounts for the individual differences in users'
preferences and behaviour. It has been found that there are significant correlations between …

Session-based recommender systems

D Jannach, M Quadrana, P Cremonesi - Recommender Systems …, 2022 - Springer
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It is different when items are older: Debiasing recommendations when selection bias and user preferences are dynamic

J Huang, H Oosterhuis, M De Rijke - … conference on web search and data …, 2022 - dl.acm.org
User interactions with recommender systems (RSs) are affected by user selection bias, eg,
users are more likely to rate popular items (popularity bias) or items that they expect to enjoy …