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Group Coupon Recommendation System for Mobile Users

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
M. Thenmozhi, T. P. Ezhilarasi
10.5120/ijca2016910379

M Thenmozhi and T P Ezhilarasi. Group Coupon Recommendation System for Mobile Users. International Journal of Computer Applications 143(10):31-36, June 2016. BibTeX

@article{10.5120/ijca2016910379,
	author = {M. Thenmozhi and T. P. Ezhilarasi},
	title = {Group Coupon Recommendation System for Mobile Users},
	journal = {International Journal of Computer Applications},
	issue_date = {June 2016},
	volume = {143},
	number = {10},
	month = {Jun},
	year = {2016},
	issn = {0975-8887},
	pages = {31-36},
	numpages = {6},
	url = {http://www.ijcaonline.org/archives/volume143/number10/25115-2016910379},
	doi = {10.5120/ijca2016910379},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Recommendation systems have become an essential component of online marketing. Group recommendation is a challenging issue due to the diversity and dynamics involved in the groups. The existing works in group recommendation mainly focused on content interest of group members ignoring other characteristic useful for improving the recommendations. In this paper, a group-coupon recommendation system has been proposed. It recommends location sensitive products to customers and helps them to form groups in order to avail the discount provided by the sellers in a group purchase. As the usage of smart phones has increased, a mobile application called promoterApp has been developed based on the proposed recommendation approach. Experiments were conducted for WhatsApp users to recommend group discounts.

References

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Keywords

Recommendation System, Group Purchase, Location Sensitive Service.