Research Article
Comment based Rating Algorithm for an Online House Portal
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 158 - Issue 3 |
| Published: Jan 2017 |
| Authors: Sheetal Bandekar, Narendra Naik, Arati Kulkarni |
10.5120/ijca2017912773
|
Sheetal Bandekar, Narendra Naik, Arati Kulkarni . Comment based Rating Algorithm for an Online House Portal. International Journal of Computer Applications. 158, 3 (Jan 2017), 37-39. DOI=10.5120/ijca2017912773
@article{ 10.5120/ijca2017912773,
author = { Sheetal Bandekar,Narendra Naik,Arati Kulkarni },
title = { Comment based Rating Algorithm for an Online House Portal },
journal = { International Journal of Computer Applications },
year = { 2017 },
volume = { 158 },
number = { 3 },
pages = { 37-39 },
doi = { 10.5120/ijca2017912773 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2017
%A Sheetal Bandekar
%A Narendra Naik
%A Arati Kulkarni
%T Comment based Rating Algorithm for an Online House Portal%T
%J International Journal of Computer Applications
%V 158
%N 3
%P 37-39
%R 10.5120/ijca2017912773
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The word-of-mouth has taken a new form as word-of-mouse which serves as an important parameter to publicize and recommend products or services of any company. E-commerce has now facilitated the online users with a provision to comment or rate the products and services of any company that sells online. These comments serve as valuable information that can be used to rate products, compare products, and give valuable suggestions to online customers. Various algorithms and approaches have been implemented to rate on users’ comment. This paper introduces a new approach to rate an individual product/service of a specific category, which is based on users’ comments. As a case study an online house portal has been developed that sells house on rent. The new comment based algorithm is used to rate a house based on tenants’ comment. This proposed algorithm is feasible and can be used for any website that sells single product/service and provides user with rating of the product/service based on customers’ comments.
References
- Sameerkhan Pathan, Shahrukh Khan, Mohammad Arshad, Amir Ahmad and Anand Bali, “Comment Based Grading and Rating System in E-Commerce”, International Journal of Engineering Research and General Science Volume 3, Issue 1, January-February, 2015. ISSN 2091--2730
- Sonali J. Bagul, Prof. Rakhi D. Wajgi, “Design Feedback Analysis System for E-Commerce Organization”, IEEE Sponsored World Conference on Futuristic Trends in Research and Innovation for Social Welfare (WCCFFTR’16).
- Arun Monicka Raja M., Godfrey Winster S., Swamynathan S., “Review Analyzer: Analyzing Consumer Product Reviews from Review Collections”, IEEE International Conference on Recent Advances in Computing and Software Systems 2012.
- Andrew J. Flanagin, Miriam J. Metzger, Rebekah Pure, Alex Markov, “User-Generated Ratings and the Evaluation of Credibility and Product Quality in Ecommerce Transactions”, In proceedings of Department of Communication, University of California, 2011.
- B. Sarwar, G. Karypis, J. Konstan and J. Riedl., “Analysis of Recommendation Algorithms for E-Commerce”, In proceedings of ACM E-Commerce, 2010.
- Word-of-Mouse vs. Word-of-Mouth Advertising Available:https://isenbergmarketing.wordpress.com/2015/01/04/word-of-mouse-vs-word-of-mouth-advertising/
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