دانلود مقاله ISI انگلیسی شماره 42525
عنوان فارسی مقاله

اجازه ملاقات دهید ! کشف مبتنی بر مشارکت و چارچوب بازاریابی تلفن همراه قرار ملاقات گذاشتن

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
42525 2015 25 صفحه PDF سفارش دهید 17500 کلمه
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Let’s Meet! A participatory-based discovery and rendezvous mobile marketing framework
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Telematics and Informatics, Volume 32, Issue 4, November 2015, Pages 539–563

کلمات کلیدی
گوشی های هوشمند - نرم افزار تلفن همراه - بازاریابی تلفن همراه - امنیت - سیستم قرار ملاقات گذاشتن - حریم خصوصی
پیش نمایش مقاله
پیش نمایش مقاله اجازه ملاقات دهید ! کشف مبتنی بر مشارکت و چارچوب بازاریابی تلفن همراه قرار ملاقات گذاشتن

چکیده انگلیسی

Modern mobile devices are nowadays powerful enough and can be used toward defining a new channel of communication with potential consumers. This channel is commonly known as mobile marketing and there is already a number of mobile marketing apps, whose aim is to increase the sales of some product or service. In this context, the Let’s Meet! framework presented in this paper is essentially a mobile marketing app. The app groups two or more persons, who basically do not know each other, having as sole criterion their common interest in an offer about a product or a service. Its main objective is to bring them together, so that they can purchase and enjoy an offer, which otherwise could not afford. One of the highlights of our proposal is that all sensitive user data are transmitted in a secure manner, and thus confidentiality is preserved. Users’ privacy is also given great consideration. This means for example that the exact geographic locations of the users are never shared with others. For user authentication, Let’s Meet! supports both a complete anonymous mode and OAuth 2.0. The framework’s main objective, which is to bring the users together, is guaranteed by means of a one-time coupon, generated by the OCRA algorithm, while the final face-to-face user group meeting is achieved through Wi-Fi Direct technology. Moreover, the app implements a smart queueing system for increasing its efficiency. Every possible effort is made to maximize both the number of products being sold and the number of users that eventually enjoy an offer. Finally, a user rating system has been adopted, which rewards any user attitude that helps towards improving the framework’s competence. The above qualities make Let’s Meet! a novel proposal when considering similar works in the literature so far.

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