Fair Learning for Bias Mitigation and Quality Optimization in Paper Recommendation

Export BriefConnect with Author
View PDF ↗
PDF Viewer
Open Full PDF

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Estimated $9K - $13K over 6-10 weeks.

See exactly what it costs to build this -- with 3 comparable funded startups.

7-day free trial. Cancel anytime.

Discover the researchers behind this paper and find similar experts.

7-day free trial. Cancel anytime.

References (24)

[1]
Double-blind peer review is detrimental to scientific integrity.
2025C. Mebane
[2]
Impact of author characteristics on outcomes of single- versus double-blind peer review: a systematic review of comparative studies in scientific abstracts and publications
2024Vasiliki P. Giannakakos, Troy S. Karanfilian et al.
[3]
How to address the geographical bias in academic publishing
2023Juliana Bol, Ashley Sheffel et al.
[4]
A Re-ranking Approach for Two-sided Fairness on Recommendation Systems
2023Yaowei Peng, Xuezhong Qian et al.
[5]
The role of author identities in peer review
2022Nihar B. Shah
[6]
Cracking double-blind review: Authorship attribution with deep learning
2022L. Bauersfeld, Angel Romero et al.
[7]
Nobel and novice: Author prominence affects peer review
2022Juergen Huber, Sabiou M. Inoua et al.
[8]
A Survey on the Fairness of Recommender Systems
2022Yifan Wang, Weizhi Ma et al.
[9]
Metrics and methods in the evaluation of prestige bias in peer review: A case study in computer systems conferences
2022Eitan Frachtenberg, K. McConville
[10]
Double-Blind Reviews: A Step Toward Eliminating Unconscious Bias
2022E. Shmidt, B. Jacobson
[11]
A Multi-Objective Optimization Framework for Multi-Stakeholder Fairness-Aware Recommendation
2021Haolun Wu, Chen Ma et al.
[12]
Multidimensional Demographic Profiles for Fair Paper Recommendation
2021Reem Alsaffar, Susan Gauch
[13]
Neural Fair Collaborative Filtering
2020Rashidul Islam, Kamrun Keya et al.
[14]
DeepFair: Deep Learning for Improving Fairness in Recommender Systems
2020Jesús Bobadilla, R. Lara-Cabrera et al.
[15]
Fairness-Aware Explainable Recommendation over Knowledge Graphs
2020Zuohui Fu, Yikun Xian et al.
[16]
Controlling Fairness and Bias in Dynamic Learning-to-Rank
2020Marco Morik, Ashudeep Singh et al.
[17]
A Paper Recommendation System Based on User's Research Interests
2018Betül Bulut, Buket Kaya et al.
[18]
Reviewer bias in single- versus double-blind peer review
2017Andrew Tomkins, M. Zhang et al.
[19]
Effectiveness of anonymization in double-blind review
2017Claire Le Goues, Yuriy Brun et al.
[20]
Multisided Fairness for Recommendation
2017R. Burke

Showing 20 of 24 references

Founder's Pitch

"Fair-PaperRec optimizes paper acceptance decisions by mitigating demographic biases while enhancing quality."

Fairness in AIScore: 7View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

1/4 signals

2.5

Quick Build

1/4 signals

2.5

Series A Potential

0/4 signals

0

Sources used for this analysis

arXiv Paper

Full-text PDF analysis of the research paper

GitHub Repository

Code availability, stars, and contributor activity

Citation Network

Semantic Scholar citations and co-citation patterns

Community Predictions

Crowd-sourced unicorn probability assessments

Analysis model: GPT-4o · Last scored: 3/12/2026

Explore the full citation network and related research.

7-day free trial. Cancel anytime.

Understand the commercial significance and market impact.

7-day free trial. Cancel anytime.

Get detailed profiles of the research team.

7-day free trial. Cancel anytime.

Related Papers

Loading…