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Reputation Based Trust Evaluation in E-Commerce Applications by Using Feedback Comments

P. Balaji1 , O. Nagaraju2 , D. Haritha3

Section:Review Paper, Product Type: Journal Paper
Volume-5 , Issue-1 , Page no. 40-42, Jan-2017

Online published on Jan 31, 2017

Copyright © P. Balaji, O. Nagaraju, D. Haritha . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: P. Balaji, O. Nagaraju, D. Haritha, “Reputation Based Trust Evaluation in E-Commerce Applications by Using Feedback Comments,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.1, pp.40-42, 2017.

MLA Style Citation: P. Balaji, O. Nagaraju, D. Haritha "Reputation Based Trust Evaluation in E-Commerce Applications by Using Feedback Comments." International Journal of Computer Sciences and Engineering 5.1 (2017): 40-42.

APA Style Citation: P. Balaji, O. Nagaraju, D. Haritha, (2017). Reputation Based Trust Evaluation in E-Commerce Applications by Using Feedback Comments. International Journal of Computer Sciences and Engineering, 5(1), 40-42.

BibTex Style Citation:
@article{Balaji_2017,
author = {P. Balaji, O. Nagaraju, D. Haritha},
title = {Reputation Based Trust Evaluation in E-Commerce Applications by Using Feedback Comments},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2017},
volume = {5},
Issue = {1},
month = {1},
year = {2017},
issn = {2347-2693},
pages = {40-42},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1153},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1153
TI - Reputation Based Trust Evaluation in E-Commerce Applications by Using Feedback Comments
T2 - International Journal of Computer Sciences and Engineering
AU - P. Balaji, O. Nagaraju, D. Haritha
PY - 2017
DA - 2017/01/31
PB - IJCSE, Indore, INDIA
SP - 40-42
IS - 1
VL - 5
SN - 2347-2693
ER -

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Abstract

Reputation and trust are two important key factors in e-commerce applications where as sellers or product ratings. In ecommerce applications, reputation is used to select best sellers among different available sellers by users. The reputation system models are used to project the different sellers based on their offering services and quality they provide to users. The trustworthiness of sellers are computed based on different models and method they opt in each model. Feedback comments of trust computation will be good impression as the users are free to direct themselves in free text feedback reviews. In proposed work we have calculating good reputation scores from users feedbacks based on a multidimensional trust model. In order to work this model, we have used algorithm for weights and ratings computation by mining feedback comments in which NLP, Topic Modelling techniques are used.

Key-Words / Index Term

Electronic commerce, CommTrust, text mining, Repudiation based models, Sentiment Analysis

References

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