A survey on popularity bias in recommender systems

A Klimashevskaia, D Jannach, M Elahi… - User Modeling and User …, 2024 - Springer
Recommender systems help people find relevant content in a personalized way. One main
promise of such systems is that they are able to increase the visibility of items in the long tail …

Connecting user and item perspectives in popularity debiasing for collaborative recommendation

L Boratto, G Fenu, M Marras - Information Processing & Management, 2021 - Elsevier
Recommender systems learn from historical users' feedback that is often non-uniformly
distributed across items. As a consequence, these systems may end up suggesting popular …

A survey on recommendation methods beyond accuracy

J Han, H Yamana - IEICE TRANSACTIONS on Information and …, 2017 - search.ieice.org
In recommending to another individual an item that one loves, accuracy is important,
however in most cases, focusing only on accuracy generates less satisfactory …

Global and country-specific mainstreaminess measures: Definitions, analysis, and usage for improving personalized music recommendation systems

C Bauer, M Schedl - PloS one, 2019 - journals.plos.org
Relevance Popularity-based approaches are widely adopted in music recommendation
systems, both in industry and research. These approaches recommend to the target user …

The contextual turn: From context-aware to context-driven recommender systems

R Pagano, P Cremonesi, M Larson, B Hidasi… - Proceedings of the 10th …, 2016 - dl.acm.org
A critical change has occurred in the status of context in recommender systems. In the past,
context has been considered'additional evidence'. This past picture is at odds with many …

Evaluating The Effects of Calibrated Popularity Bias Mitigation: A Field Study

A Klimashevskaia, M Elahi, D Jannach… - Proceedings of the 17th …, 2023 - dl.acm.org
Despite their proven various benefits, Recommender Systems can cause or amplify certain
undesired effects. In this paper, we focus on Popularity Bias, ie, the tendency of a …

Distance-and rank-based music mainstreaminess measurement

M Schedl, C Bauer - Adjunct publication of the 25th conference on user …, 2017 - dl.acm.org
A music listener's mainstreaminess indicates the extent to which her listening preferences
correspond to those of the population at large. However, formal definitions to quantify the …

On the importance of considering country-specific aspects on the online-market: an example of music recommendation considering country-specific mainstream

C Bauer, M Schedl - 2018 - aisel.aisnet.org
In the field of music recommender systems, country-specific aspects have received little
attention, although it is known that music perception and preferences are shaped by culture; …

A Novel Pre-Processing Technique to Combat Popularity Bias in Personality-Aware Recommender Systems

M Waris, MZ Fakhar, M Gulsoy, E Yalcin, A Bilge - IEEE Access, 2024 - ieeexplore.ieee.org
Recommender systems aid users in discovering items of interest across various domains.
However, these systems often suffer from popularity bias, disproportionately recommending …

An analysis of global and regional mainstreaminess for personalized music recommender systems

M Schedl, C Bauer - Journal of Mobile Multimedia, 2018 - journals.riverpublishers.com
The music mainstreaminess of a listener reflects how strong a person's listening preferences
correspond to those of the larger population. Considering that music mainstream may be …