Analyzing Characteristics and Implementing Machine Learning Algorithms for Internet Search

With the rapid growth of online information, socializing on websites has become increasingly popular. However, finding relevant information within a limited time frame can be a daunting task, often resulting in irrelevant or incompatible search results. To address this challenge, researchers have explored different features used in information retrieval and their effectiveness in delivering relevant web pages to users. This paper provides an overview of various features utilized in information retrieval, including their classification and evaluation. The study also examines the relevance of web pages with users and compares different techniques, highlighting their pros and cons. Ultimately, this research aims to improve web search capabilities and enhance user satisfaction in finding relevant information.