Ministry of digital technologies of the republic of uzbekistan

CONCLUSION
Nowadays, demand for information technologies is increasing widely.
Almost every one is using at least one social media. It is fact that, There are several reasons why demand for social media is increasing dramatically. First one is that, we can find everything we are interested in by using social media. Second one is that, they use so many special algorithms, like recommendation systems.
Nowadays, Global customer data generation is increasing at unprecedented rate. Companies are using AI and Machine learning to make use of this data in inventive ways. An ML-powered recommendation system can use customer information effectively to personalize user experience, increase engagement and retention, and finally drive greater sales.
As an example, in 2021, Neftlix detailed that its recommendation system helped grow revenue by $1 billion per year. Amazon is another company that benefits from supplying personalized recommendations to its customer. In 2021, Amazon reported that its recommendation system helped increase sales by 35%.
LIST OF USED SOURCES

1.https://medium.com/recombee-blog/machine-learning-for-recommender-systems-part-1-algorithms-evaluation-and-cold-start-6f696683d0ed

2.https://www.researchgate.net/publication/288240486_An_approach_for_recommending_services_based_on_user_profile_and_interest_similarity/citation/download
3.https://medium.com/@khang.pham.exxact/what-are-recommendation-systems-6bb5036042db