Archive · 3 Aug 2025
GIM Develops Algorithm to Tackle Bias in E-commerce
Imagine online stores sometimes showing you products that make the store more money instead of the best ones.
This can be unfair to everyone.
Researchers made a tool to make these online stores more fair.
It checks if product reviews are real and that prices are competitive.
It's like giving everyone a fair chance in the online marketplace, making sure customers see the best products and sellers get a fair shot.
GIM researchers created an algorithm for fairer e-commerce marketplaces.
The algorithm aims to address algorithmic bias and collusive practices.
Current algorithms often prioritize revenue, causing issues like manipulated reviews.
The new algorithm integrates review credibility and price efficiency.
Simulations showed improved revenue and compliance with transparency regulations.
- Who
- Researchers from GIM.
- What
- GIM researchers developed a competitive assortment algorithm.
- When
- Published on August 3, 2025.
- Where
- Goa Institute of Management (GIM).
- Why
- To make digital marketplaces fairer and more transparent, addressing bias and collusion.
Current E-commerce Practices
Proposed Algorithm Benefits
Revenue vs. Fairness
Current E-commerce Practices
Algorithms prioritize revenue generation, leading to manipulated reviews and opaque search results.
Proposed Algorithm Benefits
The GIM algorithm aims to curtail collusive ranking behavior, ensure equal market access and enhance transparency.
- Institution
- Goa Institute of Management (GIM)
- Focus
- E-commerce algorithmic fairness
- Algorithm Feature
- Integrates review credibility and price efficiency
- Benefit
- Increased customer trust, reduced seller acquisition cost
- Impact
- Compliance with transparency regulations
