Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal International Journal of Computer and Information System (IJCIS)
Ramelan, Muhadi
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
A Query Expansion Using Support Vector Machine (SVM) and Best Matching 25 (BM25) Ramelan, Muhadi
International Journal of Computer and Information System (IJCIS) Vol 5, No 2 (2024): IJCIS : Vol 5 - Issue 2 - 2024
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v5i2.162

Abstract

The information retrieval system needs to be upgraded constantly to improving retrieval performance. Expansion Query is one of the information retrieval methods for retrieve more relevant documents. Several technique expansion queries are synonym expansion, Thesaurus Expansion, and Word Embedding Expansion. This research uses a Support Vector Machine ( SVM ) to get new terms from the corpus. Some people are sometimes confused about what must to write to get the desired document or are too lazy to write a lot of words. In this research, Based on the input query data SVM will search for condition data from the existing corpus so that the data obtained will later become an expansion for the query. Adding additional terms to capture a broader range of relevant documents will retrieve more documents and improve the relevance of search results.
Co-Authors