Abstract: In today’s competitive market, attraction of customers towards the product plays an important role. In order to attract the customers there is a need of targeting the users towards the product. The current system of advertisement is not so efficient towards targeting the customers. In such systems, customers are getting bored and waste their time by simply watching the advertisements. To overcome such situations, the proposed system provides a new way of advertisements by giving points or virtual money to the users in wallet for watching the advertisements and can redeem the same. The system also has an optional program of Referral, initially user has to pay a particular amount and then he/she gets a unique QR code (Quick Response) which is generated in a random fashion. For referring each friend, he/she receives some points in wallet and he/she can redeem the same.
The paper proposes an efficient way for the development of targeted advertisements and referrals with the help of C4.5 and Recommender systems. C4.5 basically includes parameters such as age, location, gender etc. and Recommender system gives us the personal interests of user which were collected during registration. The current system has an efficiency of 53% in targeting the customers and the proposed system being a combination of C4.5 and recommender system gives a better efficiency.
Keywords: Targeted Advertisements, QR code.
Title: Design of Targeted Advertisements and Referral System
Author: Pratyay Warang, Manish Lalsinghani, Amit Agicha, Abhishek Soni, Priya R.L.
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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