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A Survey on Popularity Bias in Recommender Systems


A survey on fairness-aware recommender systems - ScienceDirect

In a music recommender system, a handful of popular artists may garner the majority of traffic, thereby underexposing less mainstream artists. If this bias ...

Revisiting Popularity and Demographic Biases in Recommender ...

Recommender systems are susceptible to popularity bias and can ... Bias and Debias in Recommender System: A Survey and Future Directions. arXiv ...

Neutralizing Popularity Bias in Recommendation Models - XMUDM

14, 1 (2013), 3207–3260. [7] Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, and Xiangnan He. 2020. Bias and Debias in Recommender System: A Survey ...

jiawei-chen/RecDebiasing: This repository collects ... - GitHub

Recommendation Debiasing ; A Survey on the Fairness of Recommender Systems. TOIS 2023. [pdf] ; Yahoo!R3: Collaborative Prediction and Ranking with Non-Random ...

(Some) Biases in Recommender Systems You Should Know

1 — Clickbait bias · 2 — Duration bias · 3 — Position bias · 4 — Popularity bias · 5 — Single-interest bias.

Popularity Bias in Recommendation: A Multi-stakeholder Perspective

Popularity bias is a well-known phenomenon in recommender systems where popular items are recommended even more frequently than their popularity would warrant, ...

Metrics for Popularity Bias in Dynamic Recommender Systems

Results bias pertains to biases that originate directly from output of RecSys models. Such biased recommendations lead to: (i) popularity bias, where popular ...

Managing Biases in Recommender Systems | by Gabriel Fu - Medium

A popularity-biased recommender is harmful to the company as niche products cannot get the right exposure, while also imposing risk of losing ...

Bias in short-video recommender systems: user-centric evaluation ...

Upon the analysis of data, the findings indicate that popularity bias and exposure bias exist in the system, and the user experience is influenced due to the ...

Bias and Debias in Recommender System: A Survey ... - NASA ADS

... bias, position bias, exposure bias, and popularity bias. Blindly fitting the data without considering the inherent biases will result in many serious issues ...

Biases in Recommender Systems: Top Challenges and Recent ...

Popularity bias refers to the tendency of the model to give higher rankings to items that are more popular overall (due to the fact that they've ...

Bias and Debias in Recommender System: A Survey and Future ...

This makes various biases widely exist in the data, including but not limited to selection bias, position bias, exposure bias, and popularity bias. Blindly ...

Dealing with Popularity Bias in Recommender Systems for Third ...

Abstract: Recommender systems for software engineering (RSSEs) assist software engineers in dealing with a growing information overload when discerning ...

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 ...

Addressing Popularity Bias in Recommender Systems

The results showed that. SSL models could successfully mitigate the popularity bias while still maintaining the accuracy of the recommendation. CCS Concepts: • ...

Popularity Bias Mitigation in Recommender Systems via Contrastive ...

Popularity Bias Mitigation in Recommender Systems via Contrastive Decoupling Learning ; Received Date: March 04, 2024 ; Accepted Date: June 02, 2024 ; Available ...

User-centered Evaluation of Popularity Bias in Recommender Systems

Recommendation and ranking systems are known to suffer from popularity bias; the tendency of the algorithm to favor a few popular items while under-representing ...

The Unfairness of Popularity Bias in Recommendation - Academia.edu

Many recommender systems suffer from the popularity bias problem: popular items are being recommended frequently while less popular, niche products, are ...

Popularity Bias in Recommender Systems - A Review - OUCI

List of references · Abdollahpouri, H.: Popularity bias in recommendation: a multi-stakeholder perspective. · Abdollahpouri, H., Burke, R.: Reducing popularity ...

The role of bias terms in binary recommender systems

That is, one needs to adjust for the varying popularity of movies, and that users have different baselines for their ratings. If one users tends ...