- Personalization and Popularity Bias🔍
- A survey on popularity bias in recommender systems🔍
- Popularity Bias is not Always Evil🔍
- A Survey on Popularity Bias in Recommender Systems🔍
- Popularity Bias in Ranking and Recommendation🔍
- Relieving Popularity Bias in Interactive Recommendation🔍
- Large Language Models as Recommender Systems🔍
- Aman's AI Journal • Recommendation Systems • Bias🔍
Popularity Bias in Dynamic Recommendation
Personalization and Popularity Bias | by Michael Roizner - Medium
That is, even if a more popular item is more likely to elicit a positive response from the user, it might be better to recommend a less popular ...
A survey on popularity bias in recommender systems - OUCI
Existing research, however, suggests that in many situations today's recommendation algorithms instead exhibit a popularity bias, meaning that they often focus ...
Popularity Bias is not Always Evil: Disentangling Benign and ...
Recommender system usually suffers from severe popularity bias — the collected interaction data usually exhibits quite imbalanced or even long-tailed ...
A Survey on Popularity Bias in Recommender Systems
Evaluating the dynamic properties of recommendation algorithms. In ... Popularity bias in dynamic recommen- dation. In Proceedings of the 27th ACM ...
Popularity Bias in Ranking and Recommendation
Many recommender systems suffer from popularity bias: popular items are recommended frequently while less popular, niche products , are recommended rarely ...
Relieving Popularity Bias in Interactive Recommendation
methods emphasize adopting supervised learning models to relieve popularity bias in the static recommendation, ignoring the dynamic transfer ...
The issue of popularity bias—where popular items are dispropor- tionately recommended, overshadowing less popular but potentially relevant items ...
Aman's AI Journal • Recommendation Systems • Bias
Problem: In recommendation systems, popularity bias occurs when the model disproportionately favors popular items due to their higher interaction rates.
Reproducing Popularity Bias in Recommendation: The Effect of ...
— Popularity Bias Propagation per User Group: The studies evaluated unfairness of pop- ularity bias propagation by using the %Δ Group Average Popularity (%ΔGAP) ...
Masoud Mansoury | Papers With Code
Recommendation algorithms are known to suffer from popularity bias; a few popular items are recommended frequently while the majority of other items are ignored ...
Bias and Debias in Recommender System: A Survey and Future ...
This motivates us to provide a systematic survey of existing work on RS biases. In this paper, we first summarize seven types of biases in recommendation, along ...
Revisiting Popularity and Demographic Biases in Recommender ...
Recommender systems are susceptible to popularity bias and can disproportionately recommend popular items. Groups that are underrepresented ...
User-centered Evaluation of Popularity Bias in Recommender Systems
recommender systems, popularity bias, long-tail recommendation, ... how it creates a “rich get richer” dynamic. 2.2 Impact on Users. Although ...
RecSys 2020 Tutorial: Counteracting Bias and Increasing ... - YouTube
... recommendation are heavily driven by the underlying data that itself is biased. In addition, ordering of the search and recommendation ...
Mitigation of Popularity Bias in Recommendation Systems
recommendation list. In this work, we conduct an empirical analysis of different mitigation techniques for popularity bias to provide an overview of the present ...
Popularity Bias in False-Positive Metrics for Recommender Systems ...
2.3 Popularity Bias in Recommendation. Important progress has been made ... Dynamic playlist generation based on skip-ping behavior. In Proceedings of.
Countering Popularity Bias in Recommendations | by Robin Verachtert
Popularity Bias is a common issue for recommender systems, especially for news recommendations. Most people read the breaking news, however, ...
Dynamic Sequential Recommendation: Decoupling User Intent from ...
In contrast to the case of language models where word frequency is relatively stable, the item popularity distribution changes periodically or irregularly. To ...
Recommender systems are susceptible to popularity bias and can disproportionately recommend popular items. Groups that are un- derrepresented in the training ...
Popularity-Debiased Graph Self-Supervised for Recommendation
There is significant literature on popularity bias research, which can be mainly categorized into three main types [5]: (1) Data-level, where the reverse ...