Navigating the Digital Landscape: The Influence of Recommendation Systems on User Engagement in Social Networks

Abstract

Abstract : In today's digital age, where the volume of content available on social networks is overwhelming, digital recommendation systems have emerged as essential tools for guiding users through this vast landscape. Leveraging sophisticated algorithms, these systems analyze user preferences, behavior, and interactions to provide tailored content suggestions. This paper explores the pivotal role of digital recommendations in addressing the diverse needs of content consumers on social media platforms. Through a comprehensive review of existing literature, analysis of methodologies, and presentation of findings, this study delves into the effectiveness and impact of digital recommendation systems in enhancing user satisfaction and engagement. By shedding light on the intricacies of recommendation algorithms and their implications for user experience, this research contributes to a deeper understanding of how digital recommendations shape content consumption patterns in the realm of social networks. Keywords : Digital recommendation, Social networks, Content consumption, Personalization, Algorithmic bias.