A survey on popularity bias in recommender systems

A Klimashevskaia, D Jannach, M Elahi… - User Modeling and User …, 2024 - Springer
Recommender systems help people find relevant content in a personalized way. One main
promise of such systems is that they are able to increase the visibility of items in the long tail …

A review on individual and multistakeholder fairness in tourism recommender systems

A Banerjee, P Banik, W Wörndl - Frontiers in big Data, 2023 - frontiersin.org
The growing use of Recommender Systems (RS) across various industries, including e-
commerce, social media, news, travel, and tourism, has prompted researchers to examine …

Fairness and sustainability in multistakeholder tourism recommender systems

A Banerjee - Proceedings of the 31st ACM Conference on User …, 2023 - dl.acm.org
In the travel industry, Tourism Recommender Systems (TRS) are gaining popularity as they
simplify trip planning for travelers by offering personalized recommendations for …

Breaking the Cycle: Countering Popularity Bias for Diverse Content Discovery

B Weaver, M Moh, TS Moh - 2025 19th International …, 2025 - ieeexplore.ieee.org
The ways most people consume media have become very much driven by some pre-set
algorithms. It is increasingly important to examine the outcome of these artificial intelligence …

Server Cache Management Mechanism Based on Bayesian Probability and Comprehensive Value

Y Song, M **ang, N Hu, Y Ren, Z Luo… - 2023 35th Chinese …, 2023 - ieeexplore.ieee.org
Aiming at the problems of low hit ratio and increasing response delay caused by exponential
growth of Internet users, a cache management mechanism suitable for server local cache is …