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A Brief Literature Survey on: Online Product Purchasing on User Behavior

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Monika Pal

Monika Pal. A Brief Literature Survey on: Online Product Purchasing on User Behavior. International Journal of Computer Applications 173(3):16-19, September 2017. BibTeX

	author = {Monika Pal},
	title = {A Brief Literature Survey on: Online Product Purchasing on User Behavior},
	journal = {International Journal of Computer Applications},
	issue_date = {September 2017},
	volume = {173},
	number = {3},
	month = {Sep},
	year = {2017},
	issn = {0975-8887},
	pages = {16-19},
	numpages = {4},
	url = {},
	doi = {10.5120/ijca2017915266},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


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.


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Product predilection, cordial or social network, link prediction, Node Neighborhood, Item adoption..