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A Brief Literature Survey on: Online Product Purchasing on User Behavior
by
Monika Pal
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 173 - Number 3 |
| Year of Publication: 2017 |
| Authors: Monika Pal |
10.5120/ijca2017915266
|
Monika Pal . A Brief Literature Survey on: Online Product Purchasing on User Behavior. International Journal of Computer Applications. 173, 3 ( Sep 2017), 16-19. DOI=10.5120/ijca2017915266
@article{
10.5120/ijca2017915266,
author = {
Monika Pal
},
title = { A Brief Literature Survey on: Online Product Purchasing on User Behavior },
journal = {
International Journal of Computer Applications
},
issue_date = { Sep 2017 },
volume = { 173 },
number = { 3 },
month = { Sep },
year = { 2017 },
issn = { 0975-8887 },
pages = {
16-19
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume173/number3/28314-2017915266/
},
doi = { 10.5120/ijca2017915266 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:20:15.569563+05:30
%A Monika Pal
%T A Brief Literature Survey on: Online Product Purchasing on User Behavior
%J International Journal of Computer Applications
%@ 0975-8887
%V 173
%N 3
%P 16-19
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Online Social Rating Networks such as Epinions and Flixter, allow users to form handful constructive social networks, through their daily routine like recommending on the corresponding products, or similarly co-rating products. The preponderance of preceding work in Rating prognosis and Recommendation of products mainly takes into account ratings of users on products. However, in Social Rating Networks users can also construct their precise social network by reckoning each other as friends. In this paper, a perusal of different techniques for product prediction is generated.
References
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Index Terms
Computer Science
Information Sciences
Keywords