TELKOMNIKA Telecommunication, Computing, Electronics and Control
Comparison of two methods on vector space model for trust in social commerce
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Comparison of two methods on vector space model for trust in social commerce
Comparison of two methods on vector space model for trust in social commerce
Subject
Data mining
Improved TF-IDF method
Information retrieval
Online social commerce
TF-IDF method
Web mining
Improved TF-IDF method
Information retrieval
Online social commerce
TF-IDF method
Web mining
Description
The study of dealing with searching information in documents within web
pages is information retrieval (IR). The user needs to describe information with
comments or reviews that consists of a number of words. Discovering weight
of an inquiry term is helpful to decide the significance of a question.
Estimation of term significance is a basic piece of most information retrieval
approaches and it is commonly chosen through term frequency-inverse
document frequency (TF-IDF). Also, improved TF-IDF method used to
retrieve information in web documents. This paper presents comparison of
TF-IDF method and improved TF-IDF method for information retrieval.
Cosine similarity method calculated on both methods. The results of cosine
similarity method on both methods compared on the desired threshold value.
The relevance documents of TF-IDF method are more extracted than improved
TF-IDF method.
pages is information retrieval (IR). The user needs to describe information with
comments or reviews that consists of a number of words. Discovering weight
of an inquiry term is helpful to decide the significance of a question.
Estimation of term significance is a basic piece of most information retrieval
approaches and it is commonly chosen through term frequency-inverse
document frequency (TF-IDF). Also, improved TF-IDF method used to
retrieve information in web documents. This paper presents comparison of
TF-IDF method and improved TF-IDF method for information retrieval.
Cosine similarity method calculated on both methods. The results of cosine
similarity method on both methods compared on the desired threshold value.
The relevance documents of TF-IDF method are more extracted than improved
TF-IDF method.
Creator
Hla Sann Sint, Khine Khine Oo
Source
http://journal.uad.ac.id/index.php/TELKOMNIKA
Date
Nov 25, 2020
Contributor
peri irawan
Format
pdf
Language
english
Type
text
Files
Collection
Citation
Hla Sann Sint, Khine Khine Oo, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Comparison of two methods on vector space model for trust in social commerce,” Repository Horizon University Indonesia, accessed April 27, 2025, https://repository.horizon.ac.id/items/show/3818.
Comparison of two methods on vector space model for trust in social commerce,” Repository Horizon University Indonesia, accessed April 27, 2025, https://repository.horizon.ac.id/items/show/3818.