LEVERAGING USER-GENERATED CONTENT FOR AN ENHANCED PRODUCT SEARCH ENGINE RANKING SYSTEM

Abstract

In the last two decades, the internet has witnessed unprecedented growth, solidifying its status as a primary information source. The pervasive role of search engines in information retrieval and e-commerce is undeniable, making them indispensable tools for accessing data and promoting products. Product search and recommender systems, as online mechanisms that assist users in navigating vast electronic catalogs, are at the forefront of this digital landscape. Their core mission is to enhance user decision-making by reducing time and mitigating purchase risk, ultimately elevating decision accuracy.