Implementation of Information Retrieval System for Document Search Based on User Keywords

Adjie Arya S W

Authors

Adjie Arya S W Bhayangkara University, Surabaya, Indonesia

Keywords:

Information retrieval system, VSM, Document relevance, Document indexing

Abstract

This journal discusses the importance of information in everyday life and the challenges of finding specific information in the digital era where large amounts of data are available. An effective information retrieval system is needed to assist users in finding the information they need. This paper focuses on the implementation of an information retrieval system for searching news articles based on user keywords using the Vector Space Model (VSM) algorithm, which is commonly used in information retrieval systems. The system indexes and analyzes news articles using VSM to generate a list of relevant documents based on user keywords. The goal of this research is to explain how this system can help users find news articles that meet their needs and to discuss the advantages and disadvantages of information retrieval systems, as well as potential future developments in this field. This paper provides valuable insights for researchers and practitioners in the field of information retrieval systems.

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