Fairness in recommender systems

Fairness in recommender systems means ensuring that the suggestions or recommendations provided to users are unbiased and equitable. It involves giving all users and items, regardless of their background or attributes, a fair chance of being accurately represented and recommended. This helps prevent favoritism or discrimination based on factors like age, gender, or race. Fairness aims to create a balanced experience where diverse perspectives and needs are considered, leading to more trustworthy and inclusive recommendations that respect individual differences while serving the overall system's purpose.