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Popularity Bias in Dynamic Recommendation


Popularity Bias in Dynamic Recommendation - ACM Digital Library

Abstract. Popularity bias is a long-standing challenge in recommender systems: popular items are overly recommended at the expense of less ...

Popularity Bias in Dynamic Recommendation - Ziwei Zhu

Information systems → Recommender systems. KEYWORDS popularity bias; dynamic recommendation. ACM Reference Format: Ziwei Zhu, Yun He, ...

Metrics for popularity bias in dynamic recommender systems - arXiv

Four metrics to quantify popularity bias in RescSys over time in dynamic setting across different sensitive user groups have been proposed.

Popularity Bias in Dynamic Recommendation - Ziwei Zhu

Conduct a comprehensive empirical study by simulation experiments to investigate how the popularity bias evolves in dynamic recommendation, and.

Popularity Bias in Dynamic Recommendation - Semantic Scholar

An empirical study by simulation experiments to analyze popularity bias in the dynamic scenario and a novel False Positive Correction method utilizing false ...

Metrics for popularity bias in dynamic recommender systems - arXiv

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

A survey on popularity bias in recommender systems - SpringerLink

Existing research, however, suggests that in many situations today's recommendation algorithms instead exhibit a popularity bias, meaning that ...

Balancing Act: Addressing Popularity Bias in Recommendation ...

Popularity bias occurs when recommendation systems suggest a lot of items items that are globally popular rather than personalized picks. This ...

Relieving Popularity Bias in Interactive Recommendation

Popularity bias refers to the problem where popular items are recommended much more frequently than their popularity would warrant, which exacerbates the long- ...

Mitigation of Popularity Bias in Recommendation Systems - CEUR-WS

They argue that popularity bias is affected by two factors: static item quality and the dynamic conformity effect (which refers to user who follows ...

Popularity Bias in Dynamic Recommendation | Request PDF

... This bias occurs as popular items receive disproportionate recommendations, regardless of their quality. That causes a self-reinforcing cycle exacerbating ...

Zziwei/Popularity-Bias-in-Dynamic-Recommendation - GitHub

Code for the KDD21 paper -- Popularity Bias in Dynamic Recommendation - Zziwei/Popularity-Bias-in-Dynamic-Recommendation.

Evolution of Popularity Bias: Empirical Study and Debiasing

These works fail to take account of the dynamic nature of real-world recommendation process, leaving several important research questions unanswered: how does ...

Metrics for popularity bias in dynamic recommender systems

Four metrics to quantify popularity bias in RescSys over time in dynamic setting across different sensitive user groups have been proposed and demonstrated ...

Evaluating unfairness of popularity bias in recommender systems

The following section presents a literature summary on recommendation fairness and popularity bias issues. Section 3 addresses both RQ1 and RQ2 by explaining ...

Causal Intervention for Leveraging Popularity Bias in ...

Session-Based Social Recommendation via Dynamic Graph Attention. Networks. In Proceedings of the Twelfth ACM International Conference on Web. Search and Data ...

Neural_BPR: Multi-processing popularity bias mitigating method in ...

The new debiasing model alleviate popularity bias while improving recommendation accuracy. Abstract. E-commerce recommendations address the problem of ...

Popularity Bias in Dynamic Recommendation (Conference Paper)

Zhu, Ziwei, He, Yun, Zhao, Xing, and Caverlee, James. Popularity Bias in Dynamic Recommendation. Retrieved from https://par.nsf.gov/biblio/ ...

A Survey on Popularity Bias in Recommender Systems

Existing research, however, suggests that in many situations today's recommendation algorithms instead exhibit a popularity bias, meaning that ...

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

3.6 Popularity Bias · TCCM Time and Content-Aware Causal Model for Unbiased News Recommendation. · Rlieving Popularity Bias in Interactive Recommendation A ...