Recommender System: Personalizing User Experience or Scientifically Deceiving Users?
Author:
Trichur Narayanan Ramachandran1
Reference29 articles.
1. Azati Team Recommendation Systems: Benefits And Development Process Issues https://azati.ai/recommendation-systems- benefits-and-issues/ Azati Team Recommendation Systems: Benefits And Development Process Issues https://azati.ai/recommendation-systems- benefits-and-issues/
2. Do Recommender Systems Manipulate Consumer Preferences? A Study of Anchoring Effects
3. Evolution of Recommender Systems from Ancient Times to Modern Era: A Survey
4. A user-centric evaluation framework for recommender systems
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Review on Intelligent Library Services and Systems;Advances in Library and Information Science;2023-08-10