Overview of Existing Algorithms for Determining Semantic Correlation Between Products

Semantic relationships refer to the logical connections between the attributes, applications, and significance of two or more objects. This study focuses on products offered for online sale, exploring the algorithms used to determine these relationships. The primary objective is to identify effective methods for tasks such as suggesting related items, categorizing products, and identifying substitutes and accessories. This paper reviews key algorithms and their practical applications across different scenarios. The study concludes that while associative and contextual matching algorithms each have their strengths, graph matching provides unique advantages in specific contexts. These findings are crucial for enhancing product recommendations and improving the user experience in e-commerce platforms.