Recommender Systems is one of the good way to help users recommend new and relevent products like movies, music, jobs, etc. It makes your life easy by recommending a movie that is a hot and happeing, find a job that you might want to apply, show you the list of songs that matches your taste.
#Benefits of recommender systems https://www.certona.com/article/benefit-of-recommendation-engines/
But these advantages are kind of a disadvantages also. Basically, recommender system will lead you to be part of a group. It won’t let you to be a stand-out person. Since, you will usen amazon, netflix, hulu, target, costoc, tripadvisor, etc. you will be lead to the same place, product, location like all other users who uses that recommender system.
For example: You want to watch a movie or series in Netflix. The choice of movies or series displayed will be recommended by Netflix. The list will contain series or movies that thousands of other users have watched and liked. The thing is you might not want to watch those movies. Your genre of movies might be different than others.
Similarly, products in Amazon that you buy have a kind of a monopoly. You want to buy a product that is better and cheaper. So, whenever you see a product that has good ratings then you tend to buy that one. You won’t even look for other options. Good-ratings doesn’t mean that is good for you.
I feel this is one of the disadvantage of recommender system. You will be part of a big box and you will buy or watch whatever is shown to you because consumers in that big box are buying it. Definitely, there will be revenue generated but there will be monoploy also.
#some of the websites that talk about negative things about recommender systems
https://readwrite.com/2009/01/28/5_problems_of_recommender_systems/
https://developers.google.com/machine-learning/recommendation/dnn/retrieval