COLD START PROBLEM IN RECOMMENDATION SYSTEMS: CHALLENGES AND POTENTIAL SOLUTIONS

Doniyor G’ulomov; Alpamis Kutlimuratov

Авторы

Doniyor G’ulomov Автор
Alpamis Kutlimuratov Автор

Аннотация

Recommendation systems are instrumental in today's digital platforms, enhancing user experience by personalizing content. However, one of the significant challenges they face is the "cold start" problem, referring to the dilemma of making accurate recommendations for new users or items without sufficient historical data. This paper explores the intricacies of the cold start problem, its implications, and potential solutions.

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Библиографические ссылки

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