IEEE Style Citation: N. Bhargavi, “Designing Shopping Cart and Determining Fake Product Comments Using Multinomial NB,” International Journal of Computer Sciences and Engineering, Vol.8, Issue.11, pp.48-52, 2020.
MLA Style Citation: N. Bhargavi "Designing Shopping Cart and Determining Fake Product Comments Using Multinomial NB." International Journal of Computer Sciences and Engineering 8.11 (2020): 48-52.
APA Style Citation: N. Bhargavi, (2020). Designing Shopping Cart and Determining Fake Product Comments Using Multinomial NB. International Journal of Computer Sciences and Engineering, 8(11), 48-52.
BibTex Style Citation:
@article{Bhargavi_2020,
author = {N. Bhargavi},
title = {Designing Shopping Cart and Determining Fake Product Comments Using Multinomial NB},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2020},
volume = {8},
Issue = {11},
month = {11},
year = {2020},
issn = {2347-2693},
pages = {48-52},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5261},
doi = {https://doi.org/10.26438/ijcse/v8i11.4852}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v8i11.4852}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5261
TI - Designing Shopping Cart and Determining Fake Product Comments Using Multinomial NB
T2 - International Journal of Computer Sciences and Engineering
AU - N. Bhargavi
PY - 2020
DA - 2020/11/30
PB - IJCSE, Indore, INDIA
SP - 48-52
IS - 11
VL - 8
SN - 2347-2693
ER -
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Abstract
In these days, there are a lot of shopping websites and apps that are very good for people requirements in their daily lives. But the quality of the product is known to the customer with the help of the reviews or comments of previous users. Some product producers are doing fake actions on those comments. Hence we don’t know the right quality. Hence in this paper, I developed a shopping cart with simplicity and flexibility, user friendly. And it is incorporated with the safe comments. The admin can recognize the list of comments is of safe or unsafe. Here, multinomial naïve bayes technique is used for fake ones and python programming is used for shopping cart development. We can block the fake customer through customer credentials.
Key-Words / Index Term
flexibility, quality, admin, multinomial NB
References
[1] fengXu. Mixture of latent multinomial naive Bayes classifier., p. 4, 2018
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[4] Asatani, P. K. (2018). Text classification. World Symposium on Communication Engineering, WSCE 2018.
[5] Qin, F. Application and research of multi_label Naïve Bayes Classifier. https://ieeexplore.ieee.org/xpl/conhome/6338367/proceeding. IEEE. 2012.
[6] Uehara. An implementation of electronic shopping cart on the Web system using component-object technology. Proceedings Sixth International Workshop on Object-Oriented Real-Time Dependable Systems. IEEE. 2002.
[7] Karunarathna, K. . A Fully Functional Shopping Mall Application -- SHOPPING EYE. 2014 2nd International Conference on Artificial Intelligence, Modelling and Simulation. IEEE. 2014.
[8] ying, m. . A commodity search system for online shopping based on ontology and web mining. International Conference on Software Intelligence Technologies and Applications & International Conference on Frontiers of Internet of Things 2014. IEEE. 2014.
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