A survey on popularity bias in recommender systems
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 …
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
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 …
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 …
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
Relevance Popularity-based approaches are widely adopted in music recommendation
systems, both in industry and research. These approaches recommend to the target user …
systems, both in industry and research. These approaches recommend to the target user …
The contextual turn: From context-aware to context-driven recommender systems
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 …
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
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 …
undesired effects. In this paper, we focus on Popularity Bias, ie, the tendency of a …
Distance-and rank-based music mainstreaminess measurement
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 …
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
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; …
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
Recommender systems aid users in discovering items of interest across various domains.
However, these systems often suffer from popularity bias, disproportionately recommending …
However, these systems often suffer from popularity bias, disproportionately recommending …
An analysis of global and regional mainstreaminess for personalized music recommender systems
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 …
correspond to those of the larger population. Considering that music mainstream may be …