Journal
INFORMATION SCIENCES
Volume 274, Issue -, Pages 125-142Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2014.02.079
Keywords
Social commerce; Group buying; Recommender system; Location-based service; Social network
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Funding
- National Science Council of Taiwan (Republic of China) [NSC 101-2410-H009-009-MY3]
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With the rapid growth of social media platforms, numerous group commerce websites, which exploit both the advantages of price discounts and experience value, have emerged. Moreover, the popularity of sophisticated mobile devices brings great commercial opportunities for local store to gain publicity. In this research, considering user preference, geographic convenience, and friends' influence, a group-coupon recommender system is proposed for promoting location-sensitive products. The results of experiments conducted on Facebook indicate that the proposed mechanism could accurately recommend products and satisfactorily provide a companion list of to customers, significantly increasing willingness to purchase by taking advantage of the power of social influence. (C) 2014 Elsevier Inc. All rights reserved.
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