IEEE Style Citation: T.Bhargavi, J.Niranjani, “Promoting Genuine Products Through Textual Review Rating in Collaboration With Social Networking,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1551-1555, 2018.
MLA Style Citation: T.Bhargavi, J.Niranjani "Promoting Genuine Products Through Textual Review Rating in Collaboration With Social Networking." International Journal of Computer Sciences and Engineering 6.6 (2018): 1551-1555.
APA Style Citation: T.Bhargavi, J.Niranjani, (2018). Promoting Genuine Products Through Textual Review Rating in Collaboration With Social Networking. International Journal of Computer Sciences and Engineering, 6(6), 1551-1555.
BibTex Style Citation:
@article{_2018,
author = {T.Bhargavi, J.Niranjani},
title = {Promoting Genuine Products Through Textual Review Rating in Collaboration With Social Networking},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2018},
volume = {6},
Issue = {6},
month = {6},
year = {2018},
issn = {2347-2693},
pages = {1551-1555},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2382},
doi = {https://doi.org/10.26438/ijcse/v6i6.15511555}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i6.15511555}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2382
TI - Promoting Genuine Products Through Textual Review Rating in Collaboration With Social Networking
T2 - International Journal of Computer Sciences and Engineering
AU - T.Bhargavi, J.Niranjani
PY - 2018
DA - 2018/06/30
PB - IJCSE, Indore, INDIA
SP - 1551-1555
IS - 6
VL - 6
SN - 2347-2693
ER -
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Abstract
In this technology driven world, we get an opportunity to share our views regarding different products by providing our valuable reviews. Through these reviews we a get a chance to extend our help in developing a better society by promoting genuine products into the market there by eliminating many false predictions. Through different review websites we get a chance to implore our ideas on different products. But we get information overloading problem. How to mine valuable information and provide the users with accurate data is a hectic task. Traditional Recommender system uses several factors such as user’s purchase record, product reputation and so on. But the main problem in this system is the rating is generated on whole. There is a chance of considering wrong reviews also. In order to avoid these problems and provide the users with desired information, a new system was developed which is user friendly to the users where the rating is generated from the textual reviews provided by the users individually. When the rating is generated the user can share that whole data to his/her Facebook timeline so that the genuine products can be brought into limelight. By this project an attempt is made to build a better society by promoting genuine products into the market.
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