COLD START PROBLEM IN RECOMMENDATION SYSTEMS: CHALLENGES AND POTENTIAL SOLUTIONS
Abstract
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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