Author(s): Liam O???Connor
Personalization algorithms are fundamental to modern marketing, enabling businesses to deliver recommendations tailored to individual user preferences. These algorithms leverage collaborative filtering, content-based filtering, hybrid methods, and deep learning to optimize user engagement, conversions, and customer retention. This paper explores types of personalization algorithms, applications in marketing, benefits, challenges, and best practices for their optimization. Emphasis is placed on ethical implementation, data privacy, and algorithmic transparency to maximize user trust and long-term effectiveness.